磁共振全身弥散加权成像在淋巴瘤临床诊疗方面的应用价值及研究进展

doi:10.16150/j.1671-2870.2019.06.018

摘要/Abstract

中图分类号:

R733.1

王燕, 宋琦. 磁共振全身弥散加权成像在淋巴瘤临床诊疗方面的应用价值及研究进展[J]. 诊断学理论与实践, 2019, 18(06): 692-697.

图/表 2

参考文献 38

[1]	Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019[J]. CA Cancer J Clin, 2019, 69(1):7-34. doi: 10.3322/caac.21551 URL
[2]	陈万青, 孙可欣, 郑荣寿, 等. 2014年中国分地区恶性肿瘤发病和死亡分析[J]. 中国肿瘤, 2018, 27(1):1-14.
[3]	Cheson BD, Fisher RI, Barrington SF, et al. Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification[J]. J Clin Oncol, 2014, 32(27):3059-3068. pmid: 25113753
[4]	Takahara T, Imai Y, Yamashita T, et al. Diffusion weighted whole body imaging with background body signal suppression(DWIBS): technical improvement using free breathing, STIR and high resolution 3D display[J]. Radiat Med, 2004, 22(4):275-282. pmid: 15468951
[5]	Sasamori H, Uno K, Wu J. Usefulness of both PET/CT with ¹⁸F-FDG and whole-body diffusion-weighted imaging in cancer screening: a preliminary report[J]. Ann Nucl Med, 2019, 33(2):78-85. doi: 10.1007/s12149-018-1307-3 pmid: 30298377
[6]	Stecco A, Trisoglio A, Soligo E, et al. Whole-Body MRI with diffusion-weighted imaging in bone metastases: A narrative review[J]. Diagnostics(Basel), 2018, 8(3),pii:E45.
[7]	王攀峰, 李永超, 徐杨, 等. 全身弥散加权成像(WB-DWI)在初诊多发性骨髓瘤患者中的诊断和监测作用[J]. 中华血液学杂志, 2017, 38(2):129-133.
[8]	Gong J, Cao W, Zhang Z, et al. Diagnostic efficacy of whole-body diffusion-weighted imaging in the detection of tumour recurrence and metastasis by comparison with ¹⁸F-2-fluoro-2-deoxy-D-glucose positron emission tomography or computed tomography in patients with gastrointestinal cancer[J]. Gastroenterol Rep (Oxf), 2015, 3(2):128-135.
[9]	Bae YJ, Choi BS, Jeong HK, et al. Diffusion-weighted imaging of the head and neck: influence of fat-suppression technique and multishot 2D navigated interleaved acquisitions[J]. Am J Neuroradiol, 2018, 39(1):145-150. doi: 10.3174/ajnr.A5426 pmid: 29122759
[10]	Zhang H, Xue H, Alto S, et al. Integrated shimming improves lesion detection in whole-body diffusion-weighted examinations of patients with plasma disorder at 3 T[J]. Invest Radiol, 2016, 51(5):297-305. doi: 10.1097/RLI.0000000000000238 URL
[11]	Sotiropoulos SN, Moeller S, Jbabdi S, et al. Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE[J]. Magn Reson Med, 2013, 70(6):1682-1689. doi: 10.1002/mrm.24623 pmid: 23401137
[12]	Reischauer C, Froehlich JM, Pless M, et al. Early treatment response in non-small cell lung cancer patients usi-ng diffusion-weighted imaging and functional diffusion maps--a feasibility study[J]. PLoS One, 2014, 9(10):e108052.
[13]	Reischauer C, Froehlich JM, Koh DM, et al. Bone metastases from prostate cancer: assessing treatment response by using diffusion-weighted imaging and functional diffusion maps--initial observations[J]. Radiology, 2010, 257(2):523-531. doi: 10.1148/radiol.10092469 pmid: 20829534
[14]	Lin C, Luciani A, Itti E, et al. Whole-body diffusion-weighted magnetic resonance imaging with apparent diffusion coefficient mapping for staging patients with diffuse large B-cell lymphoma[J]. Eur Radiol, 2010, 20(8):2027-2038. doi: 10.1007/s00330-010-1758-y URL
[15]	Balbo-Mussetto A, Cirillo S, Bruna R, et al. Whole-body MRI with diffusion-weighted imaging: a valuable alternative to contrast-enhanced CT for initial staging of aggressive lymphoma[J]. Clin Radiol, 2016, 71(3):271-279. doi: 10.1016/j.crad.2015.11.018 pmid: 26749081
[16]	Serifoglu I, Oz II, Damar M, et al. Diffusion-weighted imaging in the head and neck region: usefulness of apparent diffusion coefficient values for characterization of lesions[J]. Diagn Interv Radiol, 2015, 21(3):208-214. doi: 10.5152/dir.2014.14279 URL
[17]	李莉, 强永乾, 任转琴, 等. 全身弥散加权成像在全身淋巴结病变中的应用价值[J]. 实用放射学杂志, 2013, 29(4):631-634.
[18]	Mosavi F, Wassberg C, Selling J, et al. Whole-body diffusion-weighted MRI and(18)F-FDG PET/CT can discriminate between different lymphoma subtypes[J]. Clin Radiol, 2015, 70(11):1229-1236. doi: 10.1016/j.crad.2015.06.087 pmid: 26208992
[19]	Wu X, Pertovaara H, Dastidar P, et al. ADC measurements in diffuse large B-cell lymphoma and follicular lymphoma: a DWI and cellularity study[J]. Eur J Radiol, 2013, 82(4):e158-e164.
[20]	Saboo SS, Krajewski KM, O'Regan KN, et al. Spleen in haematological malignancies: spectrum of imaging fin-dings[J]. Br J Radiol, 2012, 85(1009):81-92. doi: 10.1259/bjr/31542964 pmid: 22096219
[21]	Littooij AS, Kwee TC, Barber I, et al. Accuracy of whole-body MRI in the assessment of splenic involvement in lymphoma[J]. Acta Radiol, 2016, 57(2):142-151. doi: 10.1177/0284185115571657 URL
[22]	Salmon JS, Thompson MA, Arildsen RC, et al. Non-Hodgkin's lymphoma involving the liver: clinical and therapeutic considerations[J]. Clin Lymphoma Myeloma, 2006, 6(4):273-280. doi: 10.3816/CLM.2006.n.001 URL
[23]	Haradome H, Grazioli L, Morone M, et al. T2-weighted and diffusion-weighted MRI for discriminating benign from malignant focal liver lesions: diagnostic abilities of single versus combined interpretations[J]. J Magn Reson Imaging, 2012, 35(6):1388-1396. doi: 10.1002/jmri.23573 pmid: 22246647
[24]	Colagrande S, Calistri L, Grazzini G, et al. MRI features of primary hepatic lymphoma[J]. Abdom Radiol (NY), 2018, 43(9):2277-2287. doi: 10.1007/s00261-018-1476-5 pmid: 29460044
[25]	Stecco A, Buemi F, Quagliozzi M, et al. Staging of primary abdominal lymphomas: Comparison of whole-body MRI with diffusion-weighted imaging and (18)F-FDG-PET/CT[J]. Gastroenterol Res Pract, 2015, 2015:104794.
[26]	Lin X, Lee M, Buck O, et al. Diagnostic Accuracy of T1-weighted dynamic contrast-enhanced-MRI and DWI-ADC for differentiation of glioblastoma and primary CNS lymphoma[J]. AJNR Am J Neuroradiol, 2017, 38(3):485-491. doi: 10.3174/ajnr.A5023 URL
[27]	Lister TA, Crowther D, Sutcliffe SB, et al. Report of a committee convened to discuss the evaluation and staging of patients with Hodgkin's disease: Cotswolds meeting[J]. J Clin Oncol, 1989, 7(11):1630-1636. pmid: 2809679
[28]	Lin C, Itti E, Luciani A, et al. Whole-body diffusion-weighted imaging with apparent diffusion coefficient mapping for treatment response assessment in patients with diffuse large B-cell lymphoma: pilot study[J]. Invest Radiol, 2011, 46(5):341-349. doi: 10.1097/RLI.0b013e3182087b03 URL
[29]	Littooij AS, Kwee TC, Barber I, et al. Whole-body MRI for initial staging of paediatric lymphoma: prospective comparison to an FDG-PET/CT-based reference standard[J]. Eur Radiol, 2014, 24(5):1153-1165. doi: 10.1007/s00330-014-3114-0 URL
[30]	de Paepe K, Bevernage C, De Keyzer F, et al. Whole-body diffusion-weighted magnetic resonance imaging at 3 Tesla for early assessment of treatment response in non-Hodgkin lymphoma: a pilot study[J]. Cancer Imaging, 2013, 13:53-62. doi: 10.1102/1470-7330.2013.0006 URL
[31]	Albano D, Patti C, Matranga D, et al. Whole-body diffusion-weighted MR and FDG-PET/CT in Hodgkin Lymphoma: Predictive role before treatment and early assessment after two courses of ABVD[J]. Eur J Radiol, 2018, 103:90-98. doi: 10.1016/j.ejrad.2018.04.014 URL
[32]	Hatakenaka M, Nakamura K, Yabuuchi H, et al. Pretreatment apparent diffusion coefficient of the primary lesion correlates with local failure in head-and-neck cancer treated with chemoradiotherapy or radiotherapy[J]. Int J Radiat Oncol Biol Phys, 2011, 81(2):339-345. doi: 10.1016/j.ijrobp.2010.05.051 URL
[33]	Schmeel FC, Simon B, Luetkens JA, et al. Prognostic value of pretreatment diffusion-weighted magnetic resonance imaging for outcome prediction of colorectal cancer liver metastases undergoing 90Y-microsphere radioembolization[J]. J Cancer Res Clin Oncol, 2017, 143(8):1531-1541. doi: 10.1007/s00432-017-2395-5 URL
[34]	Nael K, Bauer AH, Hormigo A, et al. Multiparametric MRI for differentiation of radiation necrosis from recurrent tumor in patients with treated glioblastoma[J]. Am J Roentgenol, 2018, 210(1):18-23. doi: 10.2214/AJR.17.18003 URL
[35]	Nural MS, Danaci M, Soyucok A, et al. Efficiency of apparent diffusion coefficients in differentiation of colorectal tumor recurrences and posttherapeutical soft-tissue changes[J]. Eur J Radiol, 2013, 82(10):1702-1709. doi: 10.1016/j.ejrad.2013.05.025 URL
[36]	Littooij AS, Kwee TC, de Keizer B, et al. Whole-body MRI-DWI for assessment of residual disease after completion of therapy in lymphoma: A prospective multicenter study[J]. J Magn Reson Imaging, 2015, 42(6):1646-1655. doi: 10.1002/jmri.24938 URL
[37]	Sun M, Cheng J, Zhang Y, et al. Application of DWIBS in malignant lymphoma: correlation between ADC values and Ki-67 index[J]. Eur Radiol, 2018, 28(4):1701-1708. doi: 10.1007/s00330-017-5135-y URL
[38]	徐贤, 马林, 张爱莲, 等. 全身磁共振弥散加权成像对淋巴瘤的增殖活性、恶性程度和预后的评估[J]. 功能与分子医学影像学杂志(电子版), 2012, 1(1):14-18.

磁共振全身弥散加权成像在淋巴瘤临床诊疗方面的应用价值及研究进展

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 2

参考文献 38

相关文章 15

编辑推荐

Metrics

本文评价

[1]	冯国伟, 张晓娟, 郭睿, 关哲, 王越. 治疗前¹⁸F-FDG PET/CT显像对结外NK/T细胞淋巴瘤的预后判断价值[J]. 诊断学理论与实践, 2021, 20(06): 533-539.
[2]	岳婧婧, 宋琦, 江旭峰, 王黎, 赵维莅, 严福华. 磁共振全身扩散加权成像结合T2WI抑脂序列与FDG-PET/CT在初发淋巴瘤分期及病灶检出的对比研究[J]. 诊断学理论与实践, 2021, 20(06): 540-546.
[3]	范春丽, 吴涛, 薛锋, 胡文雪, 王存邦, 白海. MUM1/IRF4阳性弥漫大B细胞淋巴瘤一例治疗报告并文献复习[J]. 诊断学理论与实践, 2021, 20(04): 399-400.
[4]	赵茜, 赵肖庆, 刁立诚, 孙菲, 郑捷, 朱雪梅, 曹华. 伴皮肤紫癜的原发性干燥综合征患者的临床特征分析[J]. 诊断学理论与实践, 2021, 20(02): 155-160.
[5]	沈小雁, 郑捷. 2005年至2018年皮肤淋巴瘤WHO-EORTC分类标准的发展与比较[J]. 诊断学理论与实践, 2021, 20(01): 15-20.
[6]	李芹芹, 金晓龙, 袁菲. 儿童系统性EB病毒阳性T细胞淋巴瘤临床病理分析一例及文献复习[J]. 诊断学理论与实践, 2020, 19(1): 63-68.
[7]	孟磊俊, 张晶, 王雪莉, 李治, 张泓, 曾乃燕. 儿童伯基特淋巴瘤中差异表达基因的鉴定及临床应用[J]. 诊断学理论与实践, 2020, 19(03): 248-257.
[8]	丁燕飞, 陈平, 罗方秀, 吴云林. 以反复上消化道出血为首发表现的套细胞淋巴瘤一例[J]. 诊断学理论与实践, 2020, 19(02): 191-194.
[9]	杨巧, 王佩, 王璐. 甲状腺细针穿刺细胞学诊断霍奇金淋巴瘤1例[J]. 诊断学理论与实践, 2019, 18(2): 215-217.
[10]	房莹, 吴东, 常春康. 癌基因与抑癌基因在伯基特淋巴瘤发生发展中的研究进展[J]. 诊断学理论与实践, 2019, 18(06): 630-633.
[11]	杨志芳, 方国平, 詹维伟, 吉日. 去分化实体型甲状腺乳头状癌伴黏膜相关淋巴组织结外边缘区淋巴瘤1例病理特征并文献分析[J]. 诊断学理论与实践, 2019, 18(05): 548-554.
[12]	沈文斌, 郭睿, 李彪. ¹⁸F-FDG PET/CT代谢参数在NK/T细胞淋巴瘤预后价值的评估[J]. 诊断学理论与实践, 2019, 18(03): 349-352.
[13]	马媛媛, 王燕, 宋琦, 陈克敏, 赵夏, 王黎, 江旭峰, 赵维莅, 严福华. 肺原发性淋巴瘤的CT影像学特点及文献复习[J]. 诊断学理论与实践, 2018, 17(05): 533-537.
[14]	李佳明, 张苏江, 王莹, 严泽莹, 刘之茵, 孙海敏, 陈玉宝, 陈钰, 罗方秀, 孙静. 慢性粒-单核细胞白血病合并结外非霍奇金淋巴瘤的临床特征分析[J]. 诊断学理论与实践, 2018, 17(01): 76-81.
[15]	武新洋, 张欢, 潘自来, 谭晶文, 杲霄源. 双源CT对原发性胃淋巴瘤和进展期胃癌的鉴别诊断价值[J]. 诊断学理论与实践, 2018, 17(01): 60-65.