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  • WU Qi, FAN Bonan, LI Yan
    Journal of Diagnostics Concepts & Practice. 2025, 24(02): 135-145. https://doi.org/10.16150/j.1671-2870.2025.02.004

    In February 2024, the International Agency for Research on Cancer (IARC) released the 2022 Global Cancer Statistics Report. In 2022, there were nearly 20 million new cancer cases and 9.7 million deaths. The report provides statistics on the incidence and mortality of 36 different types of cancer in 185 countries around the world, analyzing geographic, gender-based, and Human Development Index (HDI)-related differences. It also predicts the global burden of cancer disease by 2050. Demographic forecasts suggest that by 2050, the number of new cancer cases worldwide is expected to reach 35 million annually-an increase of 77% compared to 2022. Geographically, cancer incidence and mortality rates show significant regional disparities. In 2022, nearly half (49.2%) of the world's new cases and the majority (56.1%) of cancer deaths occurred in Asia. In terms of gender distribution, the overall cancer incidence and mortality rate among females were lower than those among males in 2022. With respect to HDI, the risk of developing cancer increases with higher HDI levels. In 2022, the top 5 newly diagnosed cancer cases worldwide are lung cancer, female breast cancer cancer, colorectal cancer, prostate cancer, gastric cancer in turn. There were nearly 2.5 million new lung cancer cases and over 1.8 million related deaths. Breast cancer in women accounted for 2.3 million new cases and nearly 670 000 deaths. Colorectal cancer, including anal cancer, had more than 1.9 million new cases and over 900 000 deaths. Prostate cancer recorded 1.5 million new cases and nearly 400 000 deaths. There were nearly 970 000 newly-diagnosed cases of gastric cancer and 660 000 related deaths. In China in 2022, lung cancer still ranks first in the cancer incidence spectrum in China, accounting for 22.0% of the total new cases of cancer in China. This proportion has further increased compared to 2018 data (17.9%), followed by colorectal cancer (10.7%), thyroid cancer (9.7%), liver cancer (7.6%), and gastric cancer (7.4%), which account for more than half of the total new cases in China (57.4%). This paper reviews the data sources and statistical methods used in the report, interprets the epidemiological trends of major cancer types, and analyzes the incidence and burden of major cancers prevalent in China, provi-ding an overview of their disease burden and epidemiological trends.

  • Medicine-Engineering Interdisciplinary
    DING Lihui1, 2(丁黎辉), FU Lijun1, 3 (付立军), YANG Guang4(杨光), WAN Lin4, 5 (万林), CHANG Zhijun7(常志军)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 1-9. https://doi.org/10.1007/s12204-024-2789-x
    Behavioral scoring based on clinical observations remains the gold standard for screening, diagnosing,and evaluating infantile epileptic spasm syndrome (IESS). The accurate identification of seizures is crucial for clinical diagnosis and assessment. In this study, we propose an innovative seizure detection method based on video feature recognition of patient spasms. To capture the temporal characteristics of the spasm behavior presented in the videos effectively, we incorporate asymmetric convolution and convolution–batch normalization–ReLU (CBR) modules. Specifically within the 3D-ResNet residual blocks, we split the larger convolutional kernels into two asymmetric 3D convolutional kernels. These kernels are connected in series to enhance the ability of the convolutional layers to extract key local features, both horizontally and vertically. In addition, we introduce a 3D convolutional block attention module to enhance the spatial correlations between video frame channels efficiently. To improve the generalization ability, we design a composite loss function that combines cross-entropy loss with triplet loss to balance the classification and similarity requirements. We train and evaluate our method using the PLA IESS-VIDEO dataset, achieving an average seizure recognition accuracy of 90.59%, precision of 90.94%, and recall of 87.64%. To validate its generalization capability further, we conducted external validation using six different patient monitoring videos compared with assessments by six human experts from various medical centers. The final test results demonstrate that our method achieved a recall of 0.647 6, surpassing the average level achieved by human experts (0.559 5), while attaining a high F1-score of 0.721 9. These findings have substantial significance for the long-term assessment of patients with IESS.
  • Interpretation of the Guidelines
    ZHOU Yan, ZHANG Min
    Journal of Diagnostics Concepts & Practice. 2025, 24(04): 415-422. https://doi.org/10.16150/j.1671-2870.2025.04.008

    According to the Global Burden of Disease (GBD) data for 2021, the global age-standardized prevalence of asthma is 3 340.1/100 000, with a total of about 260 million patients, a mortality rate of 5.2/100 000, and 436 000 deaths. A 2012-2015 survey conducted in China shows that the prevalence of wheezing-related asthma among people aged 20 and above is 4.2%, with a total of about 45.7 million patients. However, the diagnosis rate is only 28.8%, and the control rate is only 28.5%, far below the international level, highlighting the urgent need for better asthma management and intervention. In March 2024, the Chinese Thoracic Society (CTS) released the Guidelines for the Prevention and Management of Bronchial Asthma (2024 Edition) (hereinafter referred to as the "2024 Guidelines"). For diagnostic pathways, the 2024 Guidelines improve the diagnostic criteria for asthma, emphasizing the evidence for variable expiratory airflow (such as bronchodilator tests, provocation tests, etc.). A "presumptive diagnosis pathway" is proposed for primary care and resource-limited medical institutions to improve the diagnosis rate and avoid overtreatment. In terms of staging and classification, the concept of "clinical remission" is introduced, defined as being asymptomatic for ≥1 year without the need for systemic glucocorticoid therapy. The classification of "intermittent state" is eliminated, and asthma severity is now simplified into three levels—mild, moderate and severe—with a dynamic assessment model proposed. The assessment system newly includes a type 2 inflammatory phenotype assessment, recommending the measurement of biomarkers such as peripheral blood eosinophil count (EOS) and fractional exhaled nitric oxide (FeNO) to guide individualized treatment, while also emphasizing comorbidity screening and risk factor assessment. In terms of treatment strategies, a stepwise management approach is used for chronic persistent treatment, with inhaled corticosteroid (ICS)-formoterol recommended as the preferred reliever (Pathway 1) to reduce the risk of acute exacerbations. The management of severe asthma emphasizes the use of biological targeted drugs, such as anti-IgE and anti-interleukin (IL)-5 monoclonal antibodies, while the treatment of acute exacerbations is recommended based on the severity level. Despite the significant progress made in the 2024 Guidelines, challenges remain. Epidemiological data on asthma in China are outdated, highlighting the urgent need for nationwide surveys to reflect the latest disease burden. Diagnosis rates in primary care are low, and inflammation assessment and dynamic mana-gement are insufficient, requiring strengthened capacity building at the primary care level. Real-world data on biologics in China are limited, restricting their application in precision therapy. The application of information technology in asthma management is still at an exploratory stage, and technologies like 5G should be leveraged to enhance patient education and follow-up efficiency. In the future, asthma prevention and treatment in China need to further optimize strategies for early diagnosis and early treatment, dynamically identify inflammatory phenotypes, establish drug response prediction models, and promote AI-assisted diagnosis and treatment to achieve more precise management.

  • Guideline and consensus
    CHENG Fang, ZHAO Futao, SHEN Xuemin, LI Jin, CHEN Xiangjun, WANG Guifang, LI Huilin, XUE Luan, QI Junyuan
    Journal of Internal Medicine Concepts & Practice. 2024, 19(06): 357-362. https://doi.org/10.16138/j.1673-6087.2024.06.01

    Primary Sjögren syndrome (PSS) is an autoimmune disease characterized by lymphocytic infiltration of exocrine glands and other organs. PSS shows strong clinical heterogeneity, presents different degrees of topical and systemic damage, and multidisciplinary collaboration are required to develop PSS treatment strategies. However, our country currently has not unified diagnosis and treatment consensus for PSS. Based on domestic and foreign diagnosis and treatment experience, consensus and guideline, experts from multiple related disciplines achieved consensus using the nominal group technique, providing guidance and reference for standardized diagnosis and treatment of PSS.

  • Medicine-Engineering Interdisciplinary
    ZHAO Yanfei1,2,3(赵艳飞), XIAO Peng4 (肖鹏), WANG Jingchuan1,2,3* (王景川), GUO Rui4*(郭锐)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 27-33. https://doi.org/10.1007/s12204-023-2678-8
    Mobile robots represented by smart wheelchairs can assist elderly people with mobility difficulties. This paper proposes a multi-mode semi-autonomous navigation system based on a local semantic map for mobile robots, which can assist users to implement accurate navigation (e.g., docking) in the environment without prior maps. In order to overcome the problem of repeated oscillations during the docking of traditional local path planning algorithms, this paper adopts a mode-switching method and uses feedback control to perform docking when approaching semantic goals. At last, comparative experiments were carried out in the real environment. Results show that our method is superior in terms of safety, comfort and docking accuracy.
  • CHEN Weiwei, SUN Liangdan
    Journal of Diagnostics Concepts & Practice. 2024, 23(06): 561-567. https://doi.org/10.16150/j.1671-2870.2024.06.001

    In 1984, the epidemiological survey in China suggested that the prevalence of psoriasis was 0.123 %. By 2008, a survey across six provinces and cities in China showed an increase in prevalence rate to 0.47 %. In comparison, the prevalence in European and American countries ranged from 2% to 4%. Psoriasis is a complex multi-gene genetic disease. In China, 31.26 % of psoriasis patients have a family history. The prevalence of psoriasis among first-degree and second-degree relatives of probands is 7.24% and 0.95%, respectively. The heritability is 67.04% for first-degree relatives and 46.59% for second-degree relatives, showing a trend of decreasing heritability with the increase of genetic coefficient. More than 100 susceptibility gene loci of psoriasis have been identified globally, many of which are associated with immune system-related gene variations. Approximately 38% of these loci are found in the Chinese population. Genetic linkage analysis suggests that the interleukin (IL)-15 gene is a susceptibility gene for psoriasis in Chinese individuals. Genome-Wide Association Studies (GWAS) identified multiple susceptibility gene loci associated with psoriasis. The LOC144817, RUNX1, COG6, and TP63 genes were identified in the multi-center and multi-ethnic meta-analysis. Chinese populations exhibit different allele frequencies in the HLA-I region compared to Western populations. This genetic heterogeneity suggested that different pathogenesis and therapeutic targets might exist across different populations. Researchers found multiple susceptibility loci with specific population effects, which further emphasized the importance of independent research in different populations. With the continuous discovery of susceptibility genes, an important future direction of research will be how to translate these findings into clinical applications, such as personalized treatment and drug development.

  • Expert forum
    YANG Cuiping, CHEN Ping
    Journal of Diagnostics Concepts & Practice. 2025, 24(04): 373-382. https://doi.org/10.16150/j.1671-2870.2025.04.003

    Inflammatory bowel disease (IBD) is a group of chronic, recurrent, nonspecific inflammatory intestinal disorders of unknown etiology, primarily comprising ulcerative colitis (UC) and Crohn's disease (CD). Over the past 30 years, IBD has transitioned from a traditional "Western disease" to a truly global disease. The prevalence of IBD in North America and Europe has stabilized at 0.5%-1.0%, while newly industrialized countries in Asia, Latin America, and Africa are experiencing a 5 to 10-fold surge in IBD incidence. It is projected that the total number of IBD patients in Asia will exceed 4 million by 2035. From 1990 to 2019, the number of IBD patients in China increased from 133 000 to 484 000 in males and from 107 000 to 427 000 in females. The age-standardized incidence of IBD in Chinese males and females increased from 1.72/100 000 and 1.20/100 000 to 3.35/100 000 and 2.65/100 000, respectively. By 2030, the number of IBD patients in China is projected to exceed 1 million. In terms of diagnosis, magnetic resonance enterography (MRE), computed tomography enterography (CTE), and video capsule endoscopy (VCE) have significantly improved the visualization of small bowel lesions. Fecal calprotectin (FC) (optimal threshold of 152 μg/g) can predict relapse, with a sensitivity of 72% and a specificity of 74%. Anti-neutrophil cytoplasmic antibody (ANCA) and anti-saccharomyces cerevisiae antibody (ASCA) can also provide a non-invasive basis for differentiating UC and CD. The multidisciplinary team (MDT) model has improved the diagnosis rate of difficult cases by 20%. In the field of treatment, conventional therapies including 5-aminosalicylic acid, corticosteroids, and immunomodulators remain the foundation. However, biologics and small molecule targeted drugs such as anti-tumor necrosis factor-α agents, anti-interleukin (IL)-12/23 agents, and Janus kinase inhibitors have become the core treatments for patients with moderate to severe IBD, achieving induction remission rates of 50%-70%. Endoscopic dilation, endoscopic mucosal resection, endoscopic submucosal dissection, or laparoscopic surgery combined with enhanced recovery after surgery can significantly reduce trauma. Exclusive enteral nutrition and probiotic interventions can achieve a remission rate of 60%-70% in pediatric CD patients. However, the accessibility of biologics in primary hospitals in China is less than 30%, and the implementation rate of enhanced recovery after surgery is below 40%, indica-ting a significant gap compared with Europe and America. In the future, a national IBD registry system should be established, and research on early diagnostic models based on artificial intelligence (AI) and pharmacoeconomics should be conducted to achieve precise prevention and treatment of IBD and alleviate the societal burden of the disease.

  • Medicine-Engineering Interdisciplinary
    ZHAN Heqing1 (詹何庆), HAN Guilai1 (韩贵来), WEI Chuan’an1 (魏传安), LI Zhiqun2* (李治群)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 53-65. https://doi.org/10.1007/s12204-023-2628-5
    The underlying electrophysiological mechanisms and clinical treatments of cardiovascular diseases, which are the most common cause of morbidity and mortality worldwide, have gotten a lot of attention and been widely explored in recent decades. Along the way, techniques such as medical imaging, computing modeling, and artificial intelligence (AI) have always played significant roles in above studies. In this article, we illustrated the applications of AI in cardiac electrophysiological research and disease prediction. We summarized general principles of AI and then focused on the roles of AI in cardiac basic and clinical studies incorporating magnetic resonance imaging and computing modeling techniques. The main challenges and perspectives were also analyzed.
  • LU Hongyu, LIU Hong, SONG Luxi
    Journal of Diagnostics Concepts & Practice. 2024, 23(06): 612-618. https://doi.org/10.16150/j.1671-2870.2024.06.008

    Objective This paper aims to analyze and summarize the clinical and laboratory characteristics of patients with T-cell large granular lymphocytic leukemia (T-LGLL) and explore the diagnosis and treatment of T-LGLL. Methods A retrospective analysis was conducted on the clinical data of 6 T-LGLL patients treated at our hospital from March 2019 to December 2022. The cell morphology, bone marrow cell immunophenotyping, genetic testing results, and treatment plans were analyzed and summarized, with follow-up conducted. Results The median age at diagnosis of the 6 T-LGLL patients was 60 (range 54-70) years. All 6 patients presented with anemia at the time of consultation, with 3 requi-ring blood transfusion, 3 having splenomegaly, and 1 having lymphadenopathy. Peripheral blood LGL morphology was typical in all 6 cases, but with low absolute counts. The median count was 1.0 (range 0.4-1.4) × 109/L. Bone marrow cell immunophenotyping showed that all patients’ LGL cells originated from post-thymic mature T cells. 4 patients expressed the common CD3+CD8+CD57+ effector T-cell markers, while 2 expressed the rare CD3+CD8+CD57- memory T-cell markers. Genetic testing revealed monoclonal fragments in the T cell receptor (TCR) of all 6 patients, supporting the clonal abnormality. The next generation gene sequencing results showed STAT3 mutations in 4 of the 6 patients. All 6 patients received immunosuppressive therapy, and follow-up revealed that 5 patients responded to the treatment and 5 out of 6 patients achieved continuous hematological remission. Conclusions The diagnosis of T-LGLL cannot be accurately and early made solely based on typical cell morphology and absolute LGL counts. Additionally, there are significant variations in LGL immunophenotypes. Therefore, an integrated multi-parameter diagnostic approach combining morphology, immunophenotyping, TCR clonal analysis, and molecular biology data from next-generation sequencing is recommended. Currently, immunosuppressive therapy shows good treatment response.

  • YANG Yijie, ZHONG Haiyan, CUI Lei, et al
    Journal of Tissue Engineering and Reconstructive Surgery. 2025, 21(4): 331.
     Objective To evaluate the recovery of sensory and motor function after repair of forefoot plantar wounds with
    retrograde medial plantar flap. Methods The clinical data of 15 patients with forefoot plantar wounds that were repaired by retrograde medial plantar flap from February 2016 to August 2023 were retrospectively reviewed. The causes of the wounds included electric injury (3 cases), avulsion injury (1 case), diabetes mellitus (2 cases), and tumor resection (9 cases,including 8 melanomas and 1 desmoid). The size of harvested flaps ranged from 5 cm×5 cm to 6 cm×8 cm. Patients were followed up for 13-103 months to evaluate the flap sensation, sensory and motor function of the foot and toe, and appearance of donor and recipient site. Results The blood supply of all flaps was good after operation. Postoperative venous congestion occurred in 2 cases, which was relieved by needle puncture for bloodletting and heparin saline flushing. One-month and three-month postoperative follow-up showed that all 15 flaps presented soft texture and good appearance without bloating.
    However, the sensation of pain, temperature and two-point discrimination were lost. In the long-term follow-up initiated in September 2024, four cases were lost to follow-up, three of them were unavailable and one died. The remaining 11 patients could walk on the ground in normal gait without difficulty. Sensation of pain, temperature and touch were partially restored. Futhermore, active flexion and extention of the toes on the affected side were present, and toe muscle strength (Manual Muscle Testing, MMT) was graded≥4. Conclusion The retrograde medial plantar flap is effective in repairing small to  medium-size forefoot plantar wounds by achieving good appearance, restoring the sensory, motor and weight-bearing function partially to a reasonable extent.
  • Medicine-Engineering Interdisciplinary
    MA Xianda1,2,3‡ (马显达), LAN Zhaohui1,2,3‡ (兰兆辉),CHEN Zhitang1,2,3 (陈志堂), MONISHA M L4, HE Xinyi1,2,3 (何欣怡), LI Weidong1,2,3* (李卫东)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 115-120. https://doi.org/10.1007/s12204-023-2585-z
    Working memory is a core cognitive function that supports goal-directed behavior and complex thought. We developed a spatial working memory and attention test on paired symbols (SWAPS) which has been proved to be a useful and valid tool for spatial working memory and attention studies in the fields of cognitive psychology, education, and psychiatry. The repeated administration of working memory capacity tests is common in clinical and research settings. Studies suggest that repeated cognitive tests may improve the performance scores also known as retest effects. The systematic investigation of retest effects in SWAPS is critical for interpreting scientific results, but it is still not fully developed. To address this, we recruited 77 college students aged 18—21 years and used SWAPS comprising 72 trials with different memory loads, learning time, and delay span. We repeated the test once a week for five weeks to investigate the retest effects of SWAPS. There were significant retest effects in the first two tests: the accuracy of the SWAPS tests significantly increased, and then stabilized. These findings provide useful information for researchers to appropriately use or interpret the repeated working memory tests. Further experiments are still needed to clarify the factors that mediate the retest effects, and find out the cognitive mechanism that influences the retest effects.
  • LI Qiheng, XIE Yucai
    Journal of Diagnostics Concepts & Practice. 2024, 23(06): 628-633. https://doi.org/10.16150/j.1671-2870.2024.06.011

    Vasovagal syncope (VVS) is the most common type of syncope in clinical practice, primarily caused by the excessive response of the autonomic nervous system to external stimuli, leading to vasodilation and bradycardia, and consequently reduced whole brain perfusion. At present, the pathophysiological mechanism of VVS remains largely unknown, with neurohumoral regulation playing a significant role in it. Sympathetic Nervous System (SNS) plays a crucial role in the occurrence of VVS by regulating heart rate, blood pressure and vascular tone, especially in blood pressure regulation, postural changes, and stress response. The Renin-Angiotensin-Aldosterone System (RAAS) maintains blood volume and blood pressure stability by regulating vasoconstriction and sodium and water retention. Nitric oxide (NO) and hydrogen sulfide (H2S) secreted by vascular endothelial cells as vasodilator factors, and Endothelin (ET) as vasoconstrictor factors, are involved in regulating vascular tone. Neurotransmitters such as 5-hydroxytryptamine (5-HT) and galanin also play a key role in the occurrence of VVS. SNS and RAAS are involved in the occurrence of VVS. When the hemodynamics is still in a stable state, the plasma Epi and NE concentrations increase, and the Epi increment is much higher than NE, resulting in an increase in Epi/NE value. The significant β-adrenergic effect leads to peripheral vasodilation, venous blood flow accumulation, and progressive blood pressure decline, which is the most important pathophysiological mechanism leading to syncope. When hypotension occurs, the body compensatively secretes a large amount of AVP, and the significant increase of AVP concentration further leads to vasodilation, aggravates the decrease of blood pressure, and causes syncope. In the future, more accurate VVS drug development will become the focus. Using modern pharmacology and molecular biology techniques, drugs targeting specific neurohumoral mechanisms will be developed to achieve higher efficacy with fewer side effects. Additionally, the identification and validation of new biomarkers will drive advancements in early diagnosis and monitoring of treatment outcomes.

  • Medicine-Engineering Interdisciplinary
    KONG Huiyang1 (孔会扬), WANG Shuyi1 (王殊轶), ZHANG Can2 (张璨), CHEN Zan2, 3 (陈赞)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 10-17. https://doi.org/10.1007/s12204-023-2689-5
    The aim of this study was to assess the potential of surgical guides as a complementary tool to augmented reality (AR) in enhancing the safety and precision of pedicle screw placement in spinal surgery. Four trainers were divided into the AR navigation group using surgical guides and the free-hand group. Each group consisted of a novice and an experienced spine surgeon. A total of 80 pedicle screws were implanted. First, the AR group reconstructed the 3D model and planned the screw insertion route according to the computed tomography data of L2 lumbar vertebrae. Then, the Microsoft HoloLensTM 2 was used to identify the vertebral model, and the planned virtual path was superimposed on the real cone model. Next, the screw was placed according to the projected trajectory. Finally, Micron Tracker was used to measure the deviation of screws from the preoperatively planned trajectory, and pedicle screws were evaluated using the Gertzbein-Robbins scale. In the AR group, the linear deviations of the experienced doctor and the novice were (1.59±0.39) mm and (1.73±0.52) mm respectively, and the angle deviations were 2.72◦ ± 0.61◦ and 2.87◦ ± 0.63◦ respectively. In the free-hand group, the linear deviations of the experienced doctor and the novice were (2.88 ± 0.58) mm and (5.25 ± 0.62) mm respectively, and the angle deviations were 4.41◦ ± 1.18◦ and 7.15◦ ± 1.45◦ respectively. Both kinds of deviations between the two groups were significantly different (P < 0.05). The screw accuracy rate was 95% in the AR navigation group and 77.5% in the free-hand group. The results of this study indicate that the integration of surgical guides and AR is an innovative technique that can substantially enhance the safety and precision of spinal surgery and assist inexperienced doctors in completing the surgery.
  • Medicine-Engineering Interdisciplinary
    ZHAO Yinjie1 (赵寅杰), HOU Runpingg1 (侯润萍), ZENG Wanqin2 (曾琬琴), QIN Yulei1 (秦玉磊), SHEN Tianle2 (沈天乐), XU Zhiyong2 (徐志勇), FU Xiaolong2* (傅小龙), SHEN Hongbin1* (沈红斌)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 121-129. https://doi.org/10.1007/s12204-023-2614-y
    Medical image segmentation is a crucial preliminary step for a number of downstream diagnosis tasks. As deep convolutional neural networks successfully promote the development of computer vision, it is possible to make medical image segmentation a semi-automatic procedure by applying deep convolutional neural networks to finding the contours of regions of interest that are then revised by radiologists. However, supervised learning necessitates large annotated data, which are difficult to acquire especially for medical images. Self-supervised learning is able to take advantage of unlabeled data and provide good initialization to be finetuned for downstream tasks with limited annotations. Considering that most self-supervised learning especially contrastive learning methods are tailored to natural image classification and entail expensive GPU resources, we propose a novel and simple pretext-based self-supervised learning method that exploits the value of positional information in volumetric medical images. Specifically, we regard spatial coordinates as pseudo labels and pretrain the model by predicting positions of randomly sampled 2D slices in volumetric medical images. Experiments on four semantic segmentation datasets demonstrate the superiority of our method over other self-supervised learning methods in both semisupervised learning and transfer learning settings. Codes are available at https://github.com/alienzyj/PPos.
  • Medicine-Engineering Interdisciplinary
    HUANG Jiaxin (黄佳鑫), GUO Yali (郭亚丽), GAO Ruoyun (高若云),LI Shanshan (李珊珊)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 136-152. https://doi.org/10.1007/s12204-023-2618-7
    A medical image encryption is proposed based on the Fisher-Yates scrambling, filter diffusion and S-box substitution. First, chaotic sequence associated with the plaintext is generated by logistic-sine-cosine system, which is used for the scrambling, substitution and diffusion processes. The three-dimensional Fisher-Yates scrambling, S-box substitution and diffusion are employed for the first round of encryption. The chaotic sequence is adopted for secondary encryption to scramble the ciphertext obtained in the first round. Then, three-dimensional filter is applied to diffusion for further useful information hiding. The key to the algorithm is generated by the combination of hash value of plaintext image and the input parameters. It improves resisting ability of plaintext attacks. The security analysis shows that the algorithm is effective and efficient. It can resist common attacks. In addition, the good diffusion effect shows that the scheme can solve the differential attacks encountered in the transmission of medical images and has positive implications for future research.
  • Medicine-Engineering Interdisciplinary
    ZHU Ye1 (朱晔), REN Dong1 (任东), ZHANG Shuang2 (张爽), CAO Qian3 (曹倩)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 187-196. https://doi.org/10.1007/s12204-023-2620-0
    Due to the lack of human avoidance analysis, the orthosis cannot accurately apply orthopedic force during orthopedic, resulting in poor orthopedic effect. Therefore, the relationship between the human body’s active avoidance ability and force application is studied to achieve accurate loading of orthopedic force. First, a high-precision scoliosis model was established based on computed tomography data, and the relationship between orthopedic force and Cobb angle was analyzed. Then 9 subjects were selected for avoidance ability test grouped by body mass index calculation, and the avoidance function of different groups was fitted. The avoidance function corrected the application of orthopedic forces. The results show that the optimal correction force calculated by the finite element method was 60 N. The obese group had the largest avoidance ability, followed by the standard group and the lean group. When the orthopedic force was 60 N, the Cobb angle was reduced from 33.77◦ to 20◦, the avoidance ability of the standard group at 50 N obtained from the avoidance function was 20.28% and 10.14 N was actively avoided. Therefore, when 50 N was applied, 60.14 N was actually generated, which can achieve the orthopedic effect of 60 N numerical simulation analysis. The avoidance effect can take the active factors of the human body into consideration in the orthopedic process, so as to achieve a more accurate application of orthopedic force, and provide data reference for clinicians in the orthopedic process.
  • Medicine-Engineering Interdisciplinary
    BALASUBRAMANIAN S1*, NARUKA Mahaveer Singh2, TEWARI Gaurav3
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 66-80. https://doi.org/10.1007/s12204-023-2591-1
    Cardiovascular diseases are the world’s leading cause of death; therefore cardiac health of the human heart has been a fascinating topic for decades. The electrocardiogram (ECG) signal is a comprehensive noninvasive method for determining cardiac health. Various health practitioners use the ECG signal to ascertain critical information about the human heart. In this article, swarm intelligence approaches are used in the biomedical signal processing sector to enhance adaptive hybrid filters and empirical wavelet transforms (EWTs). At first, the white Gaussian noise is added to the input ECG signal and then applied to the EWT. The ECG signals are denoised by the proposed adaptive hybrid filter. The honey badge optimization (HBO) algorithm is utilized to optimize the EWT window function and adaptive hybrid filter weight parameters. The proposed approach is simulated by MATLAB 2018a using the MIT-BIH dataset with white Gaussian, electromyogram and electrode motion artifact noises. A comparison of the HBO approach with recursive least square-based adaptive filter, multichannel least means square, and discrete wavelet transform methods has been done in order to show the efficiency of the proposed adaptive hybrid filter. The experimental results show that the HBO approach supported by EWT and adaptive hybrid filter can be employed efficiently for cardiovascular signal denoising.
  • XU Mengdi, GAO Feng, ZHU Jian, CHEN Lei, QIN Yumeng, HUANG Yue, TANG Yinping, SHA Jie
    Journal of Diagnostics Concepts & Practice. 2024, 23(06): 580-586. https://doi.org/10.16150/j.1671-2870.2024.06.004

    Objective To explore the value of novel sponge capsules combined with AI-based cell DNA detection in early esophageal cancer screening. Methods From June 2021 to June 2022, subjects aged >40 years who were willing to undergo esophageal cancer screening were recruited. Firstly, the subjects underwent a novel sponge cell capsule examination to collect cell specimens. Then the cytological DNA index (DI) was assessed using artificial intelligence (AI). Subsequently, all subjects underwent endoscopy. The relationship between cytologic DI values and endoscopic findings was evaluated. Results A total of 1 369 consecutive participants were enrolled. There were 25 cases of esophageal lesions confirmed by endoscopy, including 15 cases of low-grade intraepithelial neoplasia, 1 case of high-grade intraepithelial neoplasia, and 9 cases of esophageal cancer. There were 1 344 cases in the normal esophagus group. DI was 2.154 ± 0.339 in the normal group and 2.832 ± 0.479 in the lesion group. The DI value of the esophageal lesion group was significantly higher than that of the normal esophageal group (P<0.05). Logistic regression analysis showed that the odds ratio (OR) of DI values between the esophageal lesion group and the normal esophagus group = 0.04 (95% CI: 0.017–0.096). The sponge capsules combined with DI value diagnosed esophageal lesions with an area under the ROC curve of 0.914, an optimal critical value of 2.450, a specificity of 83.71%, a sensitivity of 88.00%, and an accuracy of 83.78%. Conclusions The novel sponge capsules combined DI test can be used for screening of early esophageal lesions (cancer).

  • Consensus and guideline
    LU Shanshan, JI Yuan
    Journal of Surgery Concepts & Practice. 2025, 30(01): 27-33. https://doi.org/10.16139/j.1007-9610.2025.01.06

    The 2022 WHO classification of endocrine and neuroendocrine tumors (5th edition) categorizes thyroid follicular cell-derived tumors into benign, low-risk, and malignant types. Benign tumors now include thyroid follicular nodular lesions. A newly added category previously termed "borderline tumors" have been revised to low-risk follicular cell-derived tumors, which encompass non-invasive follicular thyroid neoplasm with papillary-like nuclear features, thyroid tumors of uncertain malignant potential, and hyalinizing trabecular tumors. The new WHO classification stratifies malignant follicular cell-derived tumors based on molecular characteristics and invasiveness: papillary thyroid carcinoma (PTC) with various histological subtypes represents BRAF-like malignancies; invasive encapsulated follicular variant PTC and follicular thyroid carcinoma represent RAS-like malignancies. Oncocytic carcinoma is now recognized as a distinct entity, specifically referring to tumors composed of ≥75% oncocytic follicular cells lacking PTC nuclear features and high-grade characteristics (necrosis and mitotic figures ≥3/2 mm²). A new category termed "high-grade follicular cell-derived thyroid carcinoma" has been added, encompassing traditional poorly differentiated thyroid carcinoma and differentiated high-grade thyroid carcinoma. Anaplastic thyroid carcinoma(ATC) remains the most undifferentiated type, with thyroid squamous cell carcinoma now classified as a subtype of ATC. The term "papillary thyroid microcarcinoma" is no longer recommended as a distinct subtype. Cribriform-morular thyroid carcinoma is no longer classified as a subtype of PTC, but is instead categorized as a tumor of uncertain histogenesis.

  • Medicine-Engineering Interdisciplinary
    KE Jing1(柯晶), ZHU Junchao2 (朱俊超), YANG Xin1(杨鑫), ZHANG Haolin3 (张浩林), SUN Yuxiang1(孙宇翔), WANG Jiayi1(王嘉怡), LU Yizhou4(鲁亦舟), SHEN Yiqing5(沈逸卿), LIU Sheng6(刘晟), JIANG Fusong7(蒋伏松), HUANG Qin8(黄琴)
    J Shanghai Jiaotong Univ Sci. 2024, 29(6): 945-957. https://doi.org/10.1007/s12204-024-2743-y
    Examining thyroid fine-needle aspiration (FNA) can grade cancer risks, derive prognostic information, and guide follow-up care or surgery. The digitization of biopsy and deep learning techniques has recently enabled computational pathology. However, there is still lack of systematic diagnostic system for the complicated gigapixel cytopathology images, which can match physician-level basic perception. In this study, we design a deep learning framework, thyroid segmentation and hierarchy fine-needle aspiration (TshFNA)-Examiner to quantitatively profile the cancer risk of a thyroid FNA image. In the TshFNA-Examiner, cellular-intensive areas strongly correlated with diagnostic medical information are detected by a nuclei segmentation neural network; cell-level image patches are catalogued following The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) system, by a classification neural network which is further enhanced by leveraging unlabeled data. A cohort of 333 thyroid FNA cases collected from 2019 to 2022 from I to VI is studied, with pixel-wise and image-wise image patches annotated. Empirically, TshFNA-Examiner is evaluated with comprehensive metrics and multiple tasks to demonstrate its superiority to state-of-the-art deep learning approaches. The average performance of cellular area segmentation achieves a Dice of 0.931 and Jaccard index of 0.871. The cancer risk classifier achieves a macro-F1-score of 0.959, macro-AUC of 0.998, and accuracy of 0.959 following TBSRTC. The corresponding metrics can be enhanced to a macro-F1-score of 0.970, macro-AUC of 0.999, and accuracy of 0.970 by leveraging informative unlabeled data. In clinical practice, TshFNA-Examiner can help cytologists to visualize the output of deep learning networks in a convenient way to facilitate making the final decision.
  • Medicine-Engineering Interdisciplinary
    YE Peng (叶鹏), FU Rongchang (富荣昌), WANG Zhaoyao (王召耀)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 166-174. https://doi.org/10.1007/s12204-023-2633-8
    Cage plus plate (CP) and zero-profile (Zero-P) devices are widely used in anterior cervical discectomy and fusion (ACDF). This study aimed to compare adjacent segment biomechanical changes after ACDF when using Zero-P device and CP in different segments. First, complete C1—C7 cervical segments were constructed and validated. Meanwhile, four surgery models were developed by implanting the Zero-P device or CP into C4—C5 or C5—C6 segments based on the intact model. The segmental range of motion (ROM) and maximum value of the intradiscal pressure of the surgery models were compared with those of the intact model. The implantation of CP and Zero-P devices in C4—C5 segments decreased ROM by about 91.6% and 84.3%, respectively, and increased adjacent segment ROM by about 8.3% and 6.82%, respectively. The implantation of CP and Zero-P devices in C5—C6 segments decreased ROM by about 93.3% and 89.9%, respectively, while increasing adjacent segment ROM by about 4.9% and 4%, respectively. Furthermore, the implantation of CP and Zero-P devices increased the intradiscal pressure in the adjacent segments of C4—C5 segments by about 4.5% and 6.7%, respectively. The implantation of CP and Zero-P devices significantly increased the intradiscal pressure in the adjacent segments of C5—C6 by about 54.1% and 15.4%, respectively. In conclusion, CP and Zero-P fusion systems can significantly reduce the ROM of the fusion implant segment in ACDF while increasing the ROM and intradiscal pressure of adjacent segments. Results showed that Zero-P fusion system is the best choice for C5—C6 segmental ACDF. However, further studies are needed to select the most suitable cervical fusion system for C4—C5 segmental ACDF. Therefore, this study provides biomechanical recommendations for clinical surgery.
  • Medicine-Engineering Interdisciplinary
    CHEN Junling1, 2, 3 (陈俊伶), GAO Feiyang1, 3 (高飞扬), ZHANG Liming1, 3 (张黎明), ZHENG Xiongfei1, 3(郑雄飞)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 18-26. https://doi.org/10.1007/s12204-023-2687-7
    Flexible electronic technology has laid the foundation for complex human-computer interaction system, and has attracted great attention in the field of human motion detection and soft robotics. Graphene has received an extensive attention due to its excellent electrical conductivity; however, how to use it to fabricate wearable flexible sensors with complex structures remains challenging. In this study, we studied the rheological behavior of graphene/polydimethylsiloxane ink and proposed an optimal graphene ratio, which makes the ink have a good printability and conductivity at the same time. Then, based on the theory of Peano fractal layout, we proposed a two-dimensional structure that can withstand multi-directional tension by replacing the traditional arris structure with the arc structure. After that, we manufactured circular arc fractal structure sensor by adjusting ink composition and printing structure through direct ink writing method. Finally, we evaluated the detection performance and repeatability of the sensor. This method provides a simple and effective solution for fabricating wearable flexible sensors and exhibits the potential to fabricate 3D complex flexible electronic devices.
  • Transportation Engineering
    PENG Shiwei1 (彭诗玮), ZHANG Xi1∗ (张希), ZHU Wangwang1 (朱旺旺), DOU Rui2 (窦瑞)
    J Shanghai Jiaotong Univ Sci. 2024, 29(6): 1063-1070. https://doi.org/10.1007/s12204-022-2531-5
    At present, most of the studies on autonomous vehicles mainly focus on improving driving safety and efficiency, while less consideration is given to the comfort of passengers. Therefore, in order to gain and optimize quantitative indices for the ride experience of autonomous vehicles, this paper proposes an evaluation method for the correlation between driving behavior and passenger comfort with bidirectional long short-term memory network and attention mechanism. By collecting subjective feeling scores of passengers under different driving styles, and measuring the pressure level with skin conductance response and heart rate variability, the comprehensive quantitative indices of passenger comfort caused by driving behavior are evaluated. Based on this, a personalized comfort evaluation model for passengers with different driving style preferences is established. The results obtained from experiments in open road and closed test areas have validated the effectiveness and feasibility of the method proposed in this paper.
  • Academic trend at home and abroad
    TANG Chunhua, GUO Lu, ZHANG Lili
    Journal of Diagnostics Concepts & Practice. 2025, 24(05): 485-497. https://doi.org/10.16150/j.1671-2870.2025.05.003

    In 2021, there were 93.816 million prevalent cases of stroke worldwide [age-standardized prevalence rate(ASPR) 1 099/100 000], with 11.946 million new cases in that year [age-standardized incidence rate(ASIR) 142/100 000]. Among these new cases, ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) accounted for 65.3% (7.804 million), 28.8% (3.444 million), and 5.8% (0.697 million), respectively. In the same year, stroke caused 7.253 million deaths, accounting for 10.7% of all global deaths. Deaths caused by IS, ICH, and SAH accounted for 49.5% (3.591 million), 45.6% (3.308 million), and 4.9% (353 000), respectively. In 2021, stroke remained the second leading cause of death worldwide, with its core disease burden indicator — disability-adjusted life years (DALYs) — exceeding 160 million, ranking third among all global total disease burdens. In terms of economic burden, the global direct medical costs and productivity losses caused by stroke reached 890 billion USD in 2021 (accounting for 0.66% of the global GDP), and are projected to exceed 1.8 trillion USD by 2050 if the current growth rate persists. The global stroke burden exhibits a dual trend of "increasing absolute numbers but decreasing age-standardized rates". Low- and middle-income countries bear most of the disease burden, and the incidence of stroke shows a coexistence of younger and older onset. In terms of risk factors, the burden of traditional behavior-related risks has decreased, while the attributable burden of metabolic and climate-related risks is rapidly increasing. China bears the heaviest stroke burden globally, characterized by a “four-high” pattern of “high incidence, high prevalence, medium-to-high mortality, and medium-to-high DALYs”, with significant urban-rural and regional disparities. This condition results from the combined effects of accelerated population aging and continuously increasing exposure to risk factors. In 2021, there were 26.335 million prevalent cases in China, with ASPR of 1 301.4/100 000. In 2021, there were 4.09 million new stroke cases in China (ASIR 204.8/100 000), accounting for 34.2% of all new global cases—far exceeding China's proportion of the world's population (about 20%). IS accounted for 67.8% [2.772 million cases, age-standardized incidence rate (ASIR) 135.8/100 000], and ICH accounted for 28.7% (1.173 million cases, ASIR 61.2/100 000). The annual total economic burden of stroke in China has exceeded 400 billion RMB, with its proportion in the national healthcare expenditure continuing to increase. Direct medical costs account for about 60%, while indirect costs (including productivity losses and caregiving expenses) account for 40%, imposing a dual pressure on both society and families. To address this challenge, a stratified precision prevention and control system centered on the coordination of "policy-healthcare-society" should be established, covering primordial, primary, and secondary prevention levels. Emphasis should be placed on cross-sector collaboration, data-driven approaches, and international experience sharing to achieve effective control of the stroke burden and promote global health equity.

  • HUO Wenliang, TIAN Xiaorui, ZHANG Jinruo, et al
    Journal of Tissue Engineering and Reconstructive Surgery. 2025, 21(1): 14.
    Objective To analyze the expression of Toll like receptor 4(TLR4) and nuclear factor kappa B (NF-κB) in scar cancer tissues, and to investigate the effect of TLR4 inhibitor TAK-242 on scar cancer cells. Methods 20 cases of normal skin tissue, 20 cases of hypertrophic scar tissue, and 20 cases of scar cancer tissue were collected. Immunohistochemistry and reverse transcription polymerase chain reaction (RT-PCR) were used to detect the expression of TLR4 and NF-κB protein and mRNA. The relationship between the expression of TLR4, NF-κB and clinical pathological factors such as patient gender, age, and tumor differentiation degree was analyzed. Scar cancer cells were cultured in vitro and treated with TLR4 inhibitor TAK-242. Cell proliferation activity was detected by MTT assay, and the expression of TLR4, NF- κB, MMP9, and TGF-β1 proteins was detected by Western blot assay. Results Compared with the control group, the expression of TLR4, NF-κB protein and mRNA in scar tissue and scar cancer tissue was significantly increased(P< 0.05); Compared with scar tissue, the expression of TLR4, NF-κB protein and mRNA in scar cancer tissue was significantly increased (P<0.05). The expression of TLR4 and NF- κB in scar cancer tissue was related to the degree of tumor differentiation (P<0.05). After intervention with TLR4 inhibitor TAK-242, the proliferation activity of scar cancer cells was  significantly reduced (P<0.05), and the protein expression of TLR4, NF- κB, MMP9, and TGF-β1 was downregulated (P< 0.05). Conclusion The TLR4/NF-κB signaling pathway is involved in the pathological process of scar tissue carcinogenesis, and the TLR4 inhibitor TAK-242 can inhibit scar cancer proliferation, which is expected to become a new target for scar tissue treatment.
  • Experts forum
    ZOU Huimin, WANG Suijun
    Journal of Diagnostics Concepts & Practice. 2025, 24(01): 14-20. https://doi.org/10.16150/j.1671-2870.2025.01.003

    The prevalence of diabetes in China has been increasing annually. In 2021, the prevalence rate of diabetes reached 13.79% among individuals aged 20–79, with an undiagnosed rate as high as 56.0%. This indicates that China's diabetes prevention and control faces significant challenges. Diabetes is a chronic metabolic disease. Poor blood glucose control increases the risk of serious complications such as cardiovascular disease, kidney disease, retinopathy, and neuropathy, which impose a heavy burden on both individual health and socioeconomic development. Early detection of diabetes and the implementation of effective interventions are crucial for preventing complications. Currently, China's diabetes diagnosis primarily adopts international standards, using the 75g oral glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) as the gold standards for diagnosis. However, due to disparities in detection technologies and other factors, these methods still have certain limitations in clinical practice, especially in primary medical institutions where diabetes screening capacity and standardization level require further improvement. In addition, China demonstrates relatively low levels of awareness, treatment, and control rates of diabetes. According to 2021 data, the awareness rate of diabetes in China was 36.5%, the treatment rate was 33.2%, and the control rate was 49.2%. Although China has made some progress in diabetes prevention and treatment in recent years, there is still significant room for improvement. To address the challenges of diabetes prevention and treatment, a series of diabetes guidelines and consensus statements have been released by domestic experts, emphasizing the individualized and stratified management of diabetes patients. Different blood glucose control targets and treatment plans have been formulated for children and adolescents, pregnant women, and elderly patients. Meanwhile, the promotion of glucose monitoring technologies is considered an important approach to improve the rate of achieving blood glucose control targets. However, clinical attention remains inadequate for type 2 diabetes in children and adolescents, gestational diabetes, and elderly diabetes with sarcopenia, lacking standardized treatment strategies and high-quality medical evidence. For the current state of diabetes diagnosis and treatment in China, it remains imperative to further improve the diagnostic testing level, the coverage of examinations, and the ability of stratified management for different population groups.

  • Medicine-Engineering Interdisciplinary
    XU Wangwang1,2 (徐旺旺), XU Liangfeng1,2 (许良凤), LIU Ninghui3(刘宁徽), LU Na3(律娜)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 91-106. https://doi.org/10.1007/s12204-024-2705-4
    Breast cancer is a serious and high morbidity disease in women, and it is the main cause of cancer death in China. However, getting tested and diagnosed early can reduce the risk of cancer. At present, there are clinical examinations, imaging screening and biopsies, among which histopathological examination is the gold standard. However, the process is complicated and time-consuming, and misdiagnosis may exist. This paper puts forward a classification framework based on deep learning, introducing multi-attention mechanism, selecting kernel convolution instead of ordinary convolution, and using different weights and combinations to pay attention to the accuracy index and growth rate of the model. In addition, we also compared the learning rate regulators. Error function can fine-tune the learning rate to achieve good performance, using label softening to reduce the loss error caused by model error recognition in the label, and assigning different category weights in the loss function to balance the positive and negative samples. We used the BreakHis data set to automatically classify histological images into benign and malignant, four categories and eight subtypes. Experimental results showed that the accuracy of binary classifications ranged from 98.23% to 99.50%, and that of multipl classifications ranged from 97.89% to 98.11%.
  • BAI Mengyao, KONG Bo, YANG Lihui, LI Lijuan, SHI Yanqing, SUN Lihao
    Journal of Diagnostics Concepts & Practice. 2024, 23(06): 634-640. https://doi.org/10.16150/j.1671-2870.2024.06.012

    Osteoporosis is a common chronic disease in the elderly in China. With the acceleration of population aging, the prevalence of osteoporosis is gradually increasing. The prevalence of osteoporosis among people over 50 years old in China is 19.2%, and 32.0% for those over 65 years old. This not only results in an increasing number of elderly patients with fractures but also highlights the significant harm of osteoporosis due to the low awareness and treatment rate As a traditional Chinese medicine ingredient, berberine has been proven to be effective in treating a variety of chronic metabolic and inflammatory diseases, including diabetes, tumors, cardiovascular diseases, hyperlipidemia, inflammation, bacterial and viral infections, and osteoporosis. In terms of bone metabolism, berberine has shown certain improvements in both primary osteoporosis caused by menopause and secondary osteoporosis caused by multiple factors such as diabetes, obesity, and the use of glucocorticoids. Meanwhile, berberine has also shown strong bone regeneration ability in the study of bone defect repair under conditions of diabetes, local infection, and inflammation. Multiple in vivo and in vitro studies have shown that berberine can not only promote the differentiation and maturation of osteoblasts through classical signaling pathways such as Wnt/β‑catenin, PI3K/AKT, APK, and AMPK, but also effectively inhibit the differentiation and activity of osteoclasts by suppressing the RANKL signaling pathway. At the same time, berberine can also improve the oxidative stress state of tissues and regulate bone metabolism by regulating small non‑coding RNAs (miRNAs). This paper focuses on the mechanisms and research progress of berberine in osteogenesis and osteoclastogenesis, aiming to provide a reference for further in‑depth research on the mechanism of berberine in treating osteoporosis.

  • Medicine-Engineering Interdisciplinary
    WU Xuyang1 (吴旭阳), LIU Xiaoying1 (刘晓颖), HAO Yanhua1 (郝艳华), LIU Changhuang1 (刘长煌), HUANG Xianwei2 (黄贤伟)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 175-186. https://doi.org/10.1007/s12204-023-2587-x
    It is particularly important to explore the response and transmission characteristics of shoe sole when exposed to foot-transmitted vibration (FTV) in daily life. In this study, based on mechanical mobility and vibration transmissibility, the vibration response and transmission characteristics of ordinary sole and multicellular structure sole under three excitation modes were analyzed with finite element analysis. The analysis results of the ordinary sole are as follows: The distribution and transmission of vibration energy of ordinary sole are more related to the excitation position and mode-shape; the phalange region is more violent in vibration response to vibration and transmission of vibration. In addition, the analysis results of multi-cellular structure soles show that different types of multi-cellular structure soles have different effects on the equivalent mechanical mobility and the equivalent vibration transmissibility, among which Grid type has the greatest influence. So, this study can help prevent foot injury and provide guidance for the optimal design of the sole.
  • Medicine-Engineering Interdisciplinary
    HE Guisong (贺贵松), HUANG Xuegong* (黄学功),LI Feng(李峰)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 197-208. https://doi.org/10.1007/s12204-023-2589-8
    With the continuous escalation of modern war, soldiers need to transport more combat materials to the combat area. The limited load-bearing capacity of soldiers seriously restricts their carrying capacity and mobility. It is urgent to develop a power-assisted exoskeleton robot suitable for individual combat. In the past, most power-assisted exoskeleton robots were driven by motors. This driving method has an excellent powerassisted effect, but the endurance is often insufficient. In view of this shortcoming, this study designed an ankle exoskeleton robot based on an active-passive combined drive through simulation analysis of human motion. It used OpenSim software to simulate and verify that the addition of spring could achieve a good effect. At the same time, according to the gait characteristics of the human body, the gait planning of an exoskeleton robot was carried out. Afterwards, theoretical analysis explained that the cooperation among spring, motor and wearer could be realized in this gait. Finally, the assisting ability and driving coordination of the active-passive combination driven ankle exoskeleton robot were verified through experiments.
  • Original article
    LIU Xiaoxu, LIU Jinyu, ZHOU Benyuan, FAN Kaijian
    Journal of Internal Medicine Concepts & Practice. 2024, 19(06): 385-392. https://doi.org/10.16138/j.1673-6087.2024.06.06

    Objective To investigate the possible mechanism of shikonin in inhibiting synovial cell proliferation and inflammatory response and the effect of combining with low-intensity pulsed ultrasound (LI-PUS) in the treatment of rheumatoid arthritis. Methods Abnormal proliferation of mouse synoviocytes were induced by lipopolysaccharide (LPS) in vitro experiments. CCK-8 and ELISA were performed to detect the proliferation of synoviocytes and the expression levels of inflammatory factors and antioxidants. Cell scratch assay was used to detect the migration of synoviocytes. Immunofluorescence was used to detect the expression of nuclear factor (NF)-κB in synoviocytes. In vivo experiments, a mouse rheumatoid arthritis (RA) model was induced by complete Freund’s adjuvant. Forty mice were equally divided into 4 groups, which were normal group, model control group, shikonin perilla treatment group, and shikonin perilla+LI-PUS combination treatment group. The arthritic swelling indexes of the mice were recorded in day 12 and day 24 of treatment. At the end of the experiment, the serum levels of inflammatory factors were tested, and the expression levels of c-Jun N-terminal protein kinase (JNK), extracellular signal-regulated kinase (ERK), and NF-κB in the synovial tissues of the knee joints in mice were detected by Western blot. Results Shikonin inhibited the expression of inflammatory cytokines in LPS-induced synoviocytes. Shikonin intervention was able to significantly reverse LPS-induced oxidative stress in synoviocytes. The migration of synoviocytes were significantly inhibited under the intervention of different concentrations of shikonin. The level of NF-κB protein expression in synovial cells was reduced after the intervention of shikonin. The results of animal experiments showed that adjuvant-induced arthritis mice had significantly higher joint swelling scores, which could be significantly reduced after the intervention of shikonin. Shikonin+LI-PUS group showed good therapeutic effect on mice. Shikonin inhibited the expression of inflammatory cytokines, in which IL-1β was significantly reduced, and the combination of shikonin+LI-PUS showed highly significant anti-inflammatory effect. Western blot results showed that the phosphorylation content of ERK, JNK and NF-κB in the synovial tissue of mice in the model group was significantly higher than that in the normal group, which was significantly suppressed in the shikonin group and the shikonin+LI-PUS combination treatment group, and the shikonin+LI-PUS combination treatment group was superior to the shikonin group. Conclusions Shikonin can inhibit LPS-induced abnormal proliferation of synoviocytes and exert anti-arthritic activity through the ERK-JNK/NF-κB signaling pathway, and the combination of traditional Chinese medicine and low-intensity pulsed ultrasound is superior to the treatment of traditional Chinese medicine alone.

  • Editorial
    NING Guang
    Journal of Diagnostics Concepts & Practice. 2025, 24(01): 1-6. https://doi.org/10.16150/j.1671-2870.2025.01.001

    Diabetes has become a major global public health issue. As of 2021, China had approximately 141 million diabetic patients, with 2/3 remaining undiagnosed, making China the country with the highest number of diabetes globally. This current status poses severe challenges to the prevention and control of diabetes and its complications. To effectively address these challenges, strategies must be comprehensive and involve multi-sectoral collaboration, including nationwide primary prevention, primary prevention for high-risk groups, and secondary prevention for diabetic patients. For the general population, it is critical to promote healthy lifestyles through health education, policy guidance, and technical resource support. For high-risk groups, emphasis should be placed on the importance of diabetes screening, coupled with combined measures of lifestyle interventions and pharmacological treatments. For diabetic patients, the focus should be on the monitoring and management of pan-risk factors associated with cardiovascular complications. China has introduced a new model for diabetes management—the National Metabolic Management Center (MMC). By providing structured training and education for physicians within its network, the MMC promotes standardized, one-stop management solutions for diabetes, reducing regional disparities in diabetes management and effectively improving the diagnosis and treatment efficiency of diabetes and its complications. To achieve the goals of the "Healthy China 2030" initiative, concerted efforts from governments, sectors, communities, and individuals are required to raise diabetes awareness, expand standardized management coverage, and improve treatment and control rates, while reducing the incidence of diabetes and its complications. These efforts will lay a solid foundation for improving public health and building a healthy China for all.

  • DUAN Jing, YANG Bing
    Journal of Tissue Engineering and Reconstructive Surgery. 2024, 20(6): 707.
    Collagen-based biomaterials can be used as ideal biomaterials for bone and cartilage regeneration and repair due to their good biological activity and biocompatibility. However, due to the weak macroscopic mechanical properties of collagen, which cannot meet the mechanical requirements of natural cartilage and bone tissue, the mechanical properties are often improved by cross-linking modification. In addition, different material forms require different forming technologies. In this paper, the cross-linking methods and forming technologies of collagen-based biomaterials were reviewed, and the construction of collagen scaffolds and the selection of implanted cells for bone and cartilage regeneration and repair in recent years were summarized, aiming to provide clues and ideas for the development of collagen-based biomaterials preparation technology and the transformation of clinical applications.
  • Medicine-Engineering Interdisciplinary
    LIU Yuesheng (刘月笙), HE Ning(贺宁), HE Lile (贺利乐), ZHANG Yiwen (张译文), XI Kun (习坤), ZHANG Mengrui (张梦芮)
    J Shanghai Jiaotong Univ Sci. 2024, 29(6): 1028-1036. https://doi.org/10.1007/s12204-022-2545-z
    Model predictive control (MPC) is a model-based optimal control strategy widely used in robot systems.In this work, the MPC controller tuning problem for the path tracking of the wheeled mobile robot is studied and a novel self-tuning approach is developed. First, two novel path tracking performance indices, i.e., steadystate time ratio and steady-state distance ratio are proposed to more accurately reflect the control performance.Second, the mapping relationship between the proposed indices and the MPC parameters is established based on machine learning technique, and then a novel controller structure which can automatically tune the control parameters online is further designed. Finally, experimental verification with an actual wheeled mobile robot is conducted, which shows that the proposed method could outperform the existing method via achieving significant improvement in the rapidity, accuracy and adaptability of the robot path tracking.
  • PAN Xingyi, LI Zijun, ZHEN Yonghuan, et al
    Journal of Tissue Engineering and Reconstructive Surgery. 2024, 20(6): 659.
    With the advancement of medical technology and the improvement of patients' demand for personalized aesthetics, rhinoplasty has become one of the most challenging surgeries in plastic surgery. It requires not only precise anatomical knowledge but also a surgical plan that incorporates the patient's unique facial features and aesthetic expectations. In recent years, the application of artificial intelligence (AI) in the medical field has been booming, with its data analysis capabilities and automation offering new solutions for rhinoplasty. This review aimed to explore the specific applications of AI in rhinoplasty, including how AI can be used for preoperative planning, surgical navigation, and postoperative evaluation. By analyzing the key roles of AI in rhinoplasty, this paper highlighted the importance of AI in enhancing surgical precision, personalized design, and outcome predictability. Additionally, it discussed the potential value of AI in optimizing surgical plans, reducing complication risks, and improving patient satisfaction. Moreover, this paper addressed the limitations of AI in rhinoplasty, particularly its applicability in clinical decision-making and the challenge of insufficient personalization in aesthetic design, and prospected the future improvement direction of the AI technology and its further potential in rhinoplasty.
  • Original article
    CHEN Zijin, YU Haijin, WANG Zhaohui, MA Jun, WANG Zhiyu, WANG Jie, XU Yaowen, ZHENG Lan, CHEN Xiaonong
    Journal of Internal Medicine Concepts & Practice. 2025, 20(01): 1-6. https://doi.org/10.16138/j.1673-6087.2025.01.01

    Objective To compare the efficacy and safety of Shuangbai tablets and irbesartan in the treatment of proteinuria. Methods A retrospective analysis was conducted on patients with chronic glomerulonephritis who visited the outpatient department of Ruijin Hospital from January 2016 to February 2018. All the patients received irbesartan or Shuangbai tablets as monotherapy and were classified with syndrome differentiation of traditional Chinese medicine(TCM). Their clinical information, blood pressure and laboratory test were performed at 0, 4, 8, 12, and 24 weeks. Results One-hundred and nineteen patients were enrolled in the study, in which 54 cases were in the irbesartan group and 65 cases were in the Shuangbai tablet group. In all patients, the main TCM types were “pifeixiqu” type (56.3%), “pishenyangxu” type (20.2%), and “qiyinliangxu” type (21.8%). The 24-hour urinary protein of baseline level in the irbesartan group was 704 (448,1 090) mg/d, and it was significantly decreased to 456 (300,660), 428 (288,793), 510 (327,949), and 446 (273,801) mg/d at 4, 8, 12, and 24 weeks, respectively. The 24-hour urine protein level of baseline in the Shuangbai tablet group was 571 (390,1 049) mg/d, and it was significantly decreased to 491 (200,861), 432 (252,925), 478 (267,858) mg/d and 420 (175,742) mg/d at 4, 8, 12, and 24 weeks, respectively. There was no significant difference in proteinuria between the two groups. There was no statistical difference in the therapeutic effect among patients with different TCM syndrome types. The symptoms of lower back pain (59.3% vs 13.8%, P<0.001) and dry mouth and throat (24.1% vs 6.2%, P=0.005) in the Shuangbai tablet treatment group were significantly improved compared to those in the irbesartan group. The blood pressure of patients in the irbesartan treatment group decreased significantly at 12 and 24 weeks compared to it at enrollment. There were no significant adverse reactions in the Shuangbai tablet treatment group. Conclusions Shuangbai tablets can effectively reduce the urine protein level in chronic glomerulonephritis patients. It can also significantly improve the symptoms of lower back pain, dry mouth and throat in patients. Shuangbai tablet treatment showed a lower incidence of adverse reactions and can be used as an alternative medicine for patients with normal blood pressure, angiotensin-converting enzyme inhibitor(ACEI)/angiotensin receptor blocker(ARB) intolerance, or chronic glomerulonephritis without renal biopsy.

  • Review
    WU Jingyi, WANG Xiaoli, CHEN Jie, ZHENG Lan
    Journal of Internal Medicine Concepts & Practice. 2025, 20(01): 84-88. https://doi.org/10.16138/j.1673-6087.2025.01.18

    Oral ulcer is a common oral mucosal disease, the pathogenesis of it is complex. It may relate to genetics, immune disorders, nutritional deficiency, infection, drug response and psychological factors, while currently there is no specific treatment for the disease. In recent years, the research on the treatment of oral ulcers with traditional Chinese medicine has gradually increased, especially the combination of traditional Chinese medicine and Western medicine has showed a good application prospect. The article reviews the diagnosis and treatment of oral ulcer with traditional Chinese medicine and Western medicine to explore new ideas for further promotion relevant clinical research.

  • Review
    SU Chuanxin, ZHU Zhenhang, WANG Wang, LIANG Rongzhen, ZHENG Songguo, ZHAO Futao
    Journal of Internal Medicine Concepts & Practice. 2024, 19(06): 422-426. https://doi.org/10.16138/j.1673-6087.2024.06.13

    Mesenchymal stem cell (MSC), a type of cell with the ability to differentiate into multiple lineages and immunomodulatory properties, have gained widespread attention in the treatment of systemic rheumatic diseases recently. Systemic rheumatic diseases such as systemic lupus erythematosus, rheumatoid arthritis, ankylosing spondylitis, and Sjögren syndrome often led to a significant decline in patients’ quality of life, while current treatment methods have limitations. Therefore, it’s important to explore new method, and the application of MSC in these diseases has great significance. Current research indicates that MSC can exert therapeutic effects through various mechanisms, including regulating immune responses, promoting tissue repair, and reducing inflammation, and some clinical studies have showed the potential efficacy of MSC in systemic rheumatic diseases. However, many issues still need to be addressed, such as the source of cells, optimization of treatment protocols, and long-term safety assessments. This article systematically reviews the current application status of MSC in systemic rheumatic diseases, analyze their efficacy, safety, and future research directions, to provide a reference for development in this field.

  • Review
    CHEN Junzong, LIU Kai, TANG Di
    Journal of Surgery Concepts & Practice. 2024, 29(06): 537-543. https://doi.org/10.16139/j.1007-9610.2024.06.14

    Endoscopic retrograde cholangiopancreatography (ERCP) is a pivotal endoscopic technique for hepatobiliary and pancreatic diseases. Although rare, air embolism during ERCP carries a high risk of mortality and disability, with significant challenges in timely recognition. Current understanding of its pathogenesis, clinical manifestations, and emergency management remains insufficient. Air embolism requires two prerequisites: an open vascular pathway​and abnormal pressure gradients. It can be classified into venous, arterial, and paradoxical​subtypes based on the embolized vasculature. Clinical presentations are nonspecific and heterogeneous, often​masked by sedation or anesthesia, leading to delayed diagnosis. Key risk factors include prior biliary surgery, sphincterotomy, biliovenous fistula formation, and biliary stent placement. Diagnosis relies on integrating intraoperative vital sign monitoring, imaging​examination, and ​cardiocirculatory/neurological assessments. Timely recognition and intervention are critical, including​procedure termination, 100% oxygen therapy, positional adjustment, and hemodynamic stabilization. Preventive strategies involve strict adherence to ERCP indications, preoperative screening of high-risk patients, CO₂ insufflation ​instead of air, and ​enhanced intraoperative real-time monitoring. Clinicians should maintain a high alert for air embolism, optimize procedural protocols, implement surveillance, and establish emergency response plans ​to mitigate this life-threatening complication.

  • Medicine-Engineering Interdisciplinary
    YAN Mingxuan1 (颜铭萱), MIAO Yutong2,3 (苗雨桐), SHENG Shuqian1 (盛淑茜), GAN Xiaoying1 (甘小莺), HE Ben2 (何 奔), SHEN Lan2,3* (沈 兰)
    J Shanghai Jiaotong Univ Sci. 2025, 30(1): 153-165. https://doi.org/10.1007/s12204-023-2611-1
    A mortality prediction model based on small acute myocardial infarction (AMI) patients coherent with low death rate is established. In total, 1 639 AMI patients are selected as research objects who received treatment in seven tertiary and secondary hospitals in Shanghai between January 1, 2016 and January 1, 2018. Among them, 72 patients deceased during the two-year follow-up. Models are established with ensemble learning framework and machine learning algorithms based on 51 physiological indicators of the patient. Shapley additive explanations algorithm and univariate test with point-biserial and phi correlation coefficients are employed to determine significant features and rank feature importance. Based on 5-fold cross validation experiment and external validation, prediction model with self-paced ensemble framework and random forest algorithm achieves the best performance with area under receiver operating characteristic curve (AUROC) score of 0.911 and recall of 0.864. Both feature ranking methods showed that ejection fractions, serum creatinine (admission), hemoglobin and Killip class are the most important features. With these top-ranked features, the simplified prediction model is capable of achieving a comparable result with AUROC score of 0.872 and recall of 0.818. This work proposes a new method to establish mortality prediction models for AMI patients based on self-paced ensemble framework, which allows models to achieve high performance with small scale of patients coherent with low death rate. It will assist in medical decision and prognosis as a new reference.