Your browser doesn't support javascript.
loading
[Construction of prediction model combined dual-energy CT quantitative parameters and conventional CT features for assessing the Ki-67 expression levels in invasive breast cancer].
Lin, G H; Chen, W Y; Chen, C M; Cheng, X; Zhou, B H; Ji, J S.
Afiliación
  • Lin GH; Department of Radiology, Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.
  • Chen WY; Department of Radiology, Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.
  • Chen CM; Department of Radiology, Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.
  • Cheng X; Department of Radiology, Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.
  • Zhou BH; Department of Radiology, Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.
  • Ji JS; Department of Radiology, Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.
Zhonghua Yi Xue Za Zhi ; 102(23): 1753-1759, 2022 Jun 21.
Article en Zh | MEDLINE | ID: mdl-35705479

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Tomografía Computarizada por Rayos X / Antígeno Ki-67 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Tomografía Computarizada por Rayos X / Antígeno Ki-67 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Año: 2022 Tipo del documento: Article País de afiliación: China