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Radiomic mapping model for prediction of Ki-67 expression in adrenocortical carcinoma.
Ahmed, A A; Elmohr, M M; Fuentes, D; Habra, M A; Fisher, S B; Perrier, N D; Zhang, M; Elsayes, K M.
Afiliação
  • Ahmed AA; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Elmohr MM; Department Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Fuentes D; Department Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Habra MA; Department Endocrine Neoplasia and Hormonal Disorders, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Fisher SB; Department Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Perrier ND; Department Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Zhang M; Department Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Elsayes KM; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: kmelsayes@mdanderson.org.
Clin Radiol ; 75(6): 479.e17-479.e22, 2020 06.
Article em En | MEDLINE | ID: mdl-32089260
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Neoplasias do Córtex Suprarrenal / Carcinoma Adrenocortical / Antígeno Ki-67 Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Neoplasias do Córtex Suprarrenal / Carcinoma Adrenocortical / Antígeno Ki-67 Idioma: En Ano de publicação: 2020 Tipo de documento: Article