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Computed Tomographic Radiomics in Differentiating Histologic Subtypes of Epithelial Ovarian Carcinoma.
Wang, Mandi; Perucho, Jose A U; Hu, Yangling; Choi, Moon Hyung; Han, Lujun; Wong, Esther M F; Ho, Grace; Zhang, Xiaoling; Ip, Philip; Lee, Elaine Y P.
Afiliación
  • Wang M; Department of Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
  • Perucho JAU; Department of Diagnostic Radiology, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Hu Y; Department of Radiology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham.
  • Choi MH; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Han L; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Wong EMF; Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Ho G; Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China.
  • Zhang X; Department of Radiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
  • Ip P; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Lee EYP; Department of Pathology, Queen Mary Hospital, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
JAMA Netw Open ; 5(12): e2245141, 2022 12 01.
Article en En | MEDLINE | ID: mdl-36469315
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Tomografía Computarizada por Rayos X Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Middle aged Idioma: En Revista: JAMA Netw Open Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Tomografía Computarizada por Rayos X Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Middle aged Idioma: En Revista: JAMA Netw Open Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos