Role of combined clinical-radiomics model based on contrast-enhanced MRI in predicting the malignancy of breast non-mass enhancements without an additional diffusion-weighted imaging sequence.

Li, Yan; Yang, Zhenlu; Lv, Wenzhi; Qin, Yanjin; Tang, Caili; Yan, Xu; Yin, Ting; Ai, Tao; Xia, Liming

Li, Yan; Yang, Zhenlu; Lv, Wenzhi; Qin, Yanjin; Tang, Caili; Yan, Xu; Yin, Ting; Ai, Tao; Xia, Liming.

Affiliation

Li Y; Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yang Z; Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, China.
Lv W; Department of Artificial Intelligence, Julei Technology Company, Wuhan, China.
Qin Y; Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tang C; Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan X; Scientific Marketing, Siemens Healthcare Ltd., Shanghai, China.
Yin T; MR Collaborations, Siemens Healthineers Ltd., Shanghai, China.
Ai T; Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xia L; Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Quant Imaging Med Surg ; 13(9): 5974-5985, 2023 Sep 01.

Article in En | MEDLINE | ID: mdl-37711822

Key words

Breast cancer; differential diagnosis; magnetic resonance imaging (MRI); non-mass enhancement (NME); radiomics

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China

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