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Value of mammographic microcalcifications and MRI-enhanced lesions in the evaluation of residual disease after neoadjuvant therapy for breast cancer.
Zhu, Chao; Chen, Minglei; Liu, Yulin; Li, Pinxiong; Ye, Weitao; Ye, Huifen; Ye, Yunrui; Liu, Zaiyi; Liang, Changhong; Liu, Chunling.
Afiliação
  • Zhu C; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Chen M; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.
  • Liu Y; Department of Radiology, Ningyuan County People's Hospital, Yongzhou, China.
  • Li P; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Ye W; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.
  • Ye H; Shantou University Medical College, Shantou, China.
  • Ye Y; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Liu Z; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.
  • Liang C; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Liu C; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.
Quant Imaging Med Surg ; 13(9): 5593-5604, 2023 Sep 01.
Article em En | MEDLINE | ID: mdl-37711784
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Quant Imaging Med Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Quant Imaging Med Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China