A Clinical Assessment of a Magnetic Resonance Computer-Aided Diagnosis System in the Detection of Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer.

Peng, Haiyong; Yan, Shaolei; Chen, Xiaodan; Hu, Jiahang; Chen, Kaige; Wang, Ping; Zhang, Hongxia; Zhang, Xiushi; Meng, Wei

Peng, Haiyong; Yan, Shaolei; Chen, Xiaodan; Hu, Jiahang; Chen, Kaige; Wang, Ping; Zhang, Hongxia; Zhang, Xiushi; Meng, Wei.

Afiliação

Peng H; Radiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, Harbin, China.
Yan S; Radiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, Harbin, China.
Chen X; Department of Computer Technology, Harbin Institute of Technology University, Harbin, China.
Hu J; Department of Radiology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Chen K; Radiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, Harbin, China.
Wang P; Radiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, Harbin, China.
Zhang H; Radiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, Harbin, China.
Zhang X; Radiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, Harbin, China.
Meng W; Radiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, Harbin, China.

Front Oncol ; 12: 784839, 2022.

Article em En | MEDLINE | ID: mdl-35311124

Palavras-chave

MRI; breast cancer; computer-aided diagnosis; neoadjuvant chemotherapy (NAC); pathological complete response

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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