Unenhanced CT-based predictive model to identify small bowel necrosis in patients with mechanical small bowel obstruction.

Liu, Xianwei; Zhu, MingJie; Wu, Ming; Cheng, Zhangsong; Wu, Xiaoyu; Zhu, Renfang

Liu, Xianwei; Zhu, MingJie; Wu, Ming; Cheng, Zhangsong; Wu, Xiaoyu; Zhu, Renfang.

Afiliação

Liu X; Department of General Surgery, Jiujiang No.1 People's Hospital, Jiangxi province, Jiujiang, Jiujiang, China. jacky3251.love@163.com.
Zhu M; Department of Gastrointestinal Surgery, The People's Hospital of Leshan, Sichuan province, Leshan, China.
Wu M; Department of Image Center, Jiujiang No.1 People's Hospital, Jiangxi province, Jiujiang, China.
Cheng Z; Department of Image Center, Jiujiang No.1 People's Hospital, Jiangxi province, Jiujiang, China.
Wu X; Department of General Surgery, Jiujiang No.1 People's Hospital, Jiangxi province, Jiujiang, Jiujiang, China.
Zhu R; Department of General Surgery, Jiujiang No.1 People's Hospital, Jiangxi province, Jiujiang, Jiujiang, China.

BMC Med Imaging ; 23(1): 80, 2023 06 12.

Article em En | MEDLINE | ID: mdl-37308879

Assuntos

Obstrução Intestinal; Humanos; Estudos Retrospectivos; Aorta; Necrose; Tomografia Computadorizada por Raios X

Palavras-chave

Mechanical small bowel obstruction; Small bowel necrosis; Unenhanced CT

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Obstrução Intestinal Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Med Imaging Ano de publicação: 2023 Tipo de documento: Article

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