Shape and texture analyses based on conventional MRI for the preoperative prediction of the aggressiveness of pituitary adenomas.

Wang, Xiaoqing; Dai, Yongming; Lin, Hai; Cheng, Jiahui; Zhang, Yiming; Cao, Mengqiu; Zhou, Yan

Wang, Xiaoqing; Dai, Yongming; Lin, Hai; Cheng, Jiahui; Zhang, Yiming; Cao, Mengqiu; Zhou, Yan.

Afiliação

Wang X; Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Dai Y; Central Research Institute, United Imaging Healthcare, Shanghai, China.
Lin H; Central Research Institute, United Imaging Healthcare, Shanghai, China.
Cheng J; Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zhang Y; Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Cao M; Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Caomengqiu0@163.com.
Zhou Y; Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. clare1475@hotmail.com.

Eur Radiol ; 33(5): 3312-3321, 2023 May.

Article em En | MEDLINE | ID: mdl-36738323

Assuntos

Adenoma; Neoplasias Hipofisárias; Humanos; Neoplasias Hipofisárias/diagnóstico por imagem; Neoplasias Hipofisárias/cirurgia; Neoplasias Hipofisárias/patologia; Estudos Retrospectivos; Imageamento por Ressonância Magnética/métodos; Adenoma/diagnóstico por imagem; Adenoma/cirurgia; Adenoma/patologia

Palavras-chave

Magnetic resonance imaging; Pituitary tumor; Radiomics; Texture analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Hipofisárias / Adenoma Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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