Objective: To evaluate the ultrasonographic (US) features of non-mass ductal carcinoma in situ (DCIS) of the breast and their correlation with clinical, pathological characteristics and biomarkers. Methods: A total of 68 non-mass DCIS patients were enrolled in this study. Clinical and pathological characteristics, biomarkers including estrogen receptor(ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 index and preoperative ultrasound imaging data were collected. The sonographic features were classified as four types: type Ⅰ: ductal type; type Ⅱ: glandular type; type Ⅲ: calcification type; type Ⅳ: architectural distortion type.Correlations between various US features and clinicopathological characteristics, biomarkers were analyzed. Results: For US, type Ⅰ was 21cases (30.9%); type Ⅱ 10 cases(14.7%), type Ⅲ 31 cases (45.6%), and type Ⅳ 6 cases(8.8%). There were no significant differences in age, menopausal status, sentinel lymph node metastasis, clinical symptoms, ER, PR and Ki-67 index in the 4 groups. Type Ⅰ groupwas more likely to have low grade DCISand HER2 negative expression, and type Ⅲ groupwas more likely to have HER2 positive expression (all P<0.05). Low and intermediate grade DCIS, HER2 negative expressionwere associated significantly withtype I (P<0.05). High grade DCIS and HER2 positive expressionwere associated significantly with typeⅢ (P<0.05). Conclusions: Our findings suggest that some of theultrasound features of non-mass DCIS are associated with the histopathologic characteristics andbiomarkers.
YAO Jiejie, ZHU Ying, ZHAN Weiwei, CHEN Xiaosong, FEI Xiaochun
. Correlation of sonographic features of non-mass ductal carcinoma in situ with clinicopathological findings and biomarkers[J]. Journal of Diagnostics Concepts & Practice, 2018
, 17(06)
: 676
-681
.
DOI: 10.16150/j.1671-2870.2018.06.010
[1] Wiechmann L, Kuerer HM.The molecular journey from ductal carcinoma in situ to invasive breast cancer[J]. Cancer,2008,112(10):2130-2142.
[2] Gwak YJ, Kim HJ, Kwak JY, et al.Ultrasonographic detection and characterization of asymptomatic ductal carcinoma in situ with histopathologic correlation[J]. Acta Radiol,2011,52(4):364-371.
[3] Mendelson EB, Böhm-Vélez M, Berg WA, et al.ACR BI-RADS® Ultrasound[M]// Reston VA. ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology,2013:1-153.
[4] 王知力, 唐杰, 李俊来, 等. 乳腺非肿块型病变的超声诊断[J]. 中国医学影像学杂志,2013,21(1):13-15.
[5] Ko KH, Hsu HH, Yu JC, et al.Non-mass-like breast lesions at ultrasonography: feature analysis and BI-RADS assessment[J]. Eur J Radiol,2015,84(1):77-85.
[6] Pinder SE.Ductal carcinoma in situ (DCIS): pathological features, differential diagnosis, prognostic factors and specimen evaluation[J]. Mod Pathol,2010,23(Suppl 2):S8-S13.
[7] Penault-Llorca F, André F, Sagan C, et al.Ki67 expression and docetaxel efficacy in patients with estrogen receptor-positive breast cancer[J]. J Clin Oncol,2009,l27(17):2809-2815.
[8] Uematsu T.Non-mass-like lesions on breast ultrasonography: a systematic review[J]. Breast Cancer,2012,19(4):295-301.
[9] Ko KH, Hsu HH, Yu JC, et al.Non-mass-like breast lesions at ultrasonography: feature analysis and BI-RADS assessment[J]. Eur J Radiol,2015,84(1):77-85.
[10] Dershaw DD, Abramson A, Kinne DW.Ductal carcinoma in situ: mammographic findings and clinical implications[J]. Radiology,1989,170(2):411-415.
[11] Holland R, Hendriks JH, Vebeek AL, et al.Extent, distribution, and mammographic/histological correlations of breast ductal carcinoma in situ[J]. Lancet,1990,335(8688):519-522.
[12] 孙江宏, 国飞, 姜丹, 等. 非肿块型乳腺导管癌数字化乳腺X线摄影表现形式与病理类型的相关性分析[J]. 临床外科杂志,2015,23(1):24-26.
[13] 朱思吉, 陈小松, 吴佳毅, 等. 乳腺导管内癌外科治疗方式与预后的关系研究:单中心526例临床分析[J]. 中华外科杂志,2017,55(2):114-119.
[14] Ansari B, Boughey JC, Adamczyk DL, et al.Should axillary ultrasound be used in patients with a preoperative diagnosis of ductal carcinoma in situ?[J]. Am J Surg,2012,204(3):290-293.
[15] Yao JJ, Zhan WW, Chen M, et al.Sonographic Features of Ductal Carcinoma In Situ of the Breast With Microinvasion: Correlation With Clinicopathologic Findings and Biomarkers[J]. J Ultrasound Med,2015,34(10):1761-1768.
[16] 姚洁洁, 张静雯, 朱樱, 等. 乳腺导管内癌微浸润癌分子生物标志物的表达及其与超声表现的相关性[J]. 诊断学理论与实践2014,13(6):588-592.