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Can Combined Screening of Ultrasound and Elastography Improve Breast Cancer Identification Compared with MRI in Women with Dense Breasts-a Multicenter Prospective Study

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单位: [1]Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Ultrasound, 1 Shuai Fu Yuan, Beijing 100730, Peoples R China [2]Harbin Med Univ, Affiliated Hosp 2, Dept Ultrasound, Harbin 150086, Peoples R China [3]Sichuan Acad Med Sci & Sichuan Prov Peoples Hosp, Cardiovasc Ultrasound & Noninvas Cardiol Dept, Key Lab Ultrasound Cardiac Electrophysiol & Biome, Chengdu 610072, Peoples R China [4]Chongqing Med Univ, Affiliated Hosp 2, Dept Ultrasound, Chongqing 400010, Peoples R China [5]Chongqing Key Lab Ultrasound Mol Imaging, Chongqing 400010, Peoples R China [6]China Med Univ, Shengjing Hosp, Dept Ultrasound, Shenyang 110004, Peoples R China [7]Xinjiang Med Univ, Affiliated Hosp 1, Dept Ultrasonog, Urumqi 830054, Peoples R China [8]Chinese Acad Med Sci, Canc Inst & Hosp, Dept Radiol, Beijing 100730, Peoples R China [9]Fudan Univ, Shanghai Canc Ctr, Dept Med Ultrasound, Shanghai 200032, Peoples R China [10]Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai 200032, Peoples R China [11]Henan Prov Peoples Hosp, Dept Ultrasonog, Zhengzhou 450003, Peoples R China [12]Shanxi Med Univ, Dayi Hosp, Shanxi Acad Med Sci, Dept Ultrasound, Taiyuan 030032, Peoples R China [13]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Med Ultrasound, Wuhan 430030, Peoples R China [14]Jilin Univ, China Japan Union Hosp, Dept Ultrasound, Changchun 130033, Peoples R China [15]Sun Yat Sen Univ, Inst Diagnost & Intervent Ultrasound, Dept Med Ultrason, Div Intervent Ultrasound,Affiliated Hosp 1, Guangzhou 510080, Peoples R China [16]Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Ultrasound, Guangzhou 510120, Peoples R China [17]Guangxi Med Univ, Affiliated Hosp 1, Dept Ultrasonog, Nanning 530021, Peoples R China [18]Xi An Jiao Tong Univ, Affiliated Hosp 2, Sch Med, Dept Med Ultrasound, Xian 710004, Peoples R China [19]Fujian Med Univ, Fujian Inst Ultrasound Med, Dept Ultrasound, Union Hosp, Fuzhou 350001, Peoples R China [20]Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med, Dept Ultrasound, Shanghai 200025, Peoples R China [21]Tianjin Union Med Hosp, Dept Ultrasound, Tianjin 300121, Peoples R China [22]Wuhan Univ, Dept Ultrasonog, Renmin Hosp, Wuhan 430060, Peoples R China [23]Shandong Univ, Qilu Hosp, Dept Ultrasound, Jinan 250012, Peoples R China [24]Cent South Univ, Xiangya Hosp 3, Dept Ultrasound, Changsha 410013, Peoples R China [25]Zhejiang Univ, Affiliated Hosp 2, Dept Ultrasound, Hangzhou 310000, Peoples R China [26]Hebei Gen Hosp, Dept Ultrasound, Shijiazhuang 050000, Hebei, Peoples R China [27]Nanchang Univ, Affiliated Hosp 2, Dept Ultrasound, Nanchang 330006, Jiangxi, Peoples R China [28]Shanghai Jiao Tong Univ, Tongren Hosp, Sch Med, Dept Ultrasound Med, Shanghai 200336, Peoples R China [29]Hainan Prov Peoples Hosp, Dept Ultrasound, Haikou 570311, Hainan, Peoples R China [30]Guizhou Med Univ, Affiliated Hosp, Dept Ultrasonog, Guiyang 550004, Peoples R China [31]Nanjing Med Univ, Affiliated Suzhou Hosp, Suzhou Municipal Hosp, Dept Ultrasound, Suzhou 215001, Peoples R China [32]Shandong Univ, Qianfoshan Hosp, Dept Ultrasonog, Jinan 250014, Peoples R China [33]Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Ultrasound, Shenzhen 518020, Peoples R China [34]Shanxi Med Univ, Hosp 1, Dept Ultrasound, Taiyuan 030001, Peoples R China [35]Peking Univ, Dept Ultrasound, Shenzhen Hosp, Shenzhen 518036, Peoples R China [36]Dalian Med Univ, Hosp 2, Dept Ultrasound, Dalian 116027, Peoples R China [37]Qingdao Univ, Affiliated Hosp, Dept Ultrasound, Qingdao 266003, Peoples R China [38]Med Univ Anhui, Maternal & Child Hlth Care Hosp, Anhui Prov Maternal & Child Hlth Hosp, Dept Ultrasound, Hefei 230001, Peoples R China
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关键词: Breast cancer Dense breast Breast Imaging Reporting and Data System (BI-RADS) Elastography Magnetic resonance imaging (MRI) Ultrasound (US)

摘要:
Objectives: To assess the performance of elastography (ES) and ultrasound (US) in predicting the malignancy of breast lesions and to compare their combined diagnostic value with that of magnetic resonance imaging (MRI). Materials and Methods: The study prospectively enrolled 242 female patients with dense breasts treated in 35 heath care facilities in China between November 2018 and October 2019. Based on conventional US and elastography, radiologists classified the degree of suspicion of breast lesions according to the US Breast Imaging Reporting and Data System (BI-RADS) criteria. The diagnostic value was compared between US BI-RADS and MRI BI-RADS, with pathological results used as the reference standard. Results: The results demonstrated that irregular tumor shape, a nonparallel growth orientation, indistinct margins, angular contours, microcalcifications, color Doppler flow and ES score on US imaging were significantly related to breast cancer in dense breasts (P=0.001; P=0.001; P=0.008; P<0.001; P=0.019; P=0.008; P=0.002, respectively). The sensitivity, specificity, PPV, NPV, accuracy and AUC of US BI-RADS category were 94.7%, 90.7%, 95.8%, 88.0%, 93.4% and 0.93 (95%CI, 0.88-0.97), respectively, while those of MRI BI-RADS category were 98.2%, 57.5%, 84.3%, 83.3%, 86.0% and 0.78 (95%CI, 0.71-0.85), respectively. MRI BI-RADS showed a significantly higher sensitivity than US BI-RADS (98.2% vs 94.7%, P=0.043), whereas US BI-RADS showed significantly higher specificity (90.7% vs 57.5%, P<0.001). US BI-RADS showed better diagnostic efficiency in differentiating nodules in dense breasts than MRI BI-RADS (AUC 0.93 vs 0.78, P<0.001). Conclusion: By combining the use of ES and conventional US, US BI-RADS had better diagnostic efficiency in differentiating nodules in dense breasts than MRI. For the diagnosis of malignant tumors in patients with dense breasts, MRI and US BI-RADS can be used as supplemental diagnostic tools to detect lesions, with US BI-RADS considered the preferred adjunctive resource.

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出版当年[2019]版:
大类 | 3 区 医学
小类 | 3 区 肿瘤学
最新[2025]版:
大类 | 3 区 医学
小类 | 4 区 肿瘤学
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出版当年[2018]版:
Q2 ONCOLOGY
最新[2023]版:
Q2 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者单位: [1]Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Ultrasound, 1 Shuai Fu Yuan, Beijing 100730, Peoples R China
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