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

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

Abstract 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 undergoi...

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Bibliographic Details
Main Authors: Min Li, Hongtao Qin, Xianbo Yu, Junyi Sun, Xiaosheng Xu, Yang You, Chongfei Ma, Li Yang
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Insights into Imaging
Subjects:
Gastric cancer
Lauren classification
Dual-energy CT
Iodine map
Radiomics
Online Access:https://doi.org/10.1186/s13244-023-01477-8

Internet

https://doi.org/10.1186/s13244-023-01477-8

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