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Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram.
Cui, Hao; Zhao, Dantong; Han, Peng; Zhang, Xudong; Fan, Wei; Zuo, Xiaoxuan; Wang, Panting; Hu, Nana; Kong, Hanqing; Peng, Fuhui; Wang, Ying; Tian, Jiawei; Zhang, Lei.
Afiliação
  • Cui H; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zhao D; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Han P; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zhang X; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Fan W; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zuo X; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wang P; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Hu N; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Kong H; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Peng F; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wang Y; Department of General Surgery, The Second Affiliated Hospital of Hebei Medical University, Shijiazhuang, China.
  • Tian J; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zhang L; Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Front Oncol ; 11: 718531, 2021.
Article em En | MEDLINE | ID: mdl-34888231
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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: Front Oncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
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: Front Oncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China