Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map

OBJECTIVE: To investigate the value of a radiomics model based on dual-energy computed tomography (DECT) venous-phase iodine map (IM) and 120 kVp equivalent mixed images (MIX) in predicting the Lauren classification of gastric cancer. METHODS: A retrospective analysis of 240 patients undergoing preo...

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Detalles Bibliográficos
Autores principales: Li, Min, Qin, Hongtao, Yu, Xianbo, Sun, Junyi, Xu, Xiaosheng, You, Yang, Ma, Chongfei, Yang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350444/
https://www.ncbi.nlm.nih.gov/pubmed/37454355
http://dx.doi.org/10.1186/s13244-023-01477-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350444/
https://www.ncbi.nlm.nih.gov/pubmed/37454355
http://dx.doi.org/10.1186/s13244-023-01477-8

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