A nomogram based on CT texture features to predict the response of patients with advanced pancreatic cancer treated with chemotherapy.

Li, Jingjing; Du, Jiadi; Li, Yuying; Meng, Mingzhu; Hang, Junjie; Shi, Haifeng

Li, Jingjing; Du, Jiadi; Li, Yuying; Meng, Mingzhu; Hang, Junjie; Shi, Haifeng.

Afiliação

Li J; Graduate College, Dalian Medical University, Dalian, China.
Du J; Department of Radiology, Changzhou Second People's Hospital, Changzhou, China.
Li Y; Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, U.S.
Meng M; Graduate College, Dalian Medical University, Dalian, China.
Hang J; Department of Radiology, Changzhou Second People's Hospital, Changzhou, China.
Shi H; Department of Radiology, Changzhou Second People's Hospital, Changzhou, China.

BMC Gastroenterol ; 23(1): 274, 2023 Aug 10.

Article em En | MEDLINE | ID: mdl-37563572

Assuntos

Antígeno CA-19-9; Neoplasias Pancreáticas; Humanos; Nomogramas; Neoplasias Pancreáticas/diagnóstico por imagem; Neoplasias Pancreáticas/tratamento farmacológico; Tomografia Computadorizada por Raios X; Neoplasias Pancreáticas

Palavras-chave

Advanced pancreatic cancer; CT texture features; Nomogram; Radiomics signature; Treatment response

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Antígeno CA-19-9 Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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