Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image

Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image

Abstract Objective The indocyanine green retention rate at 15 min (ICG-R15) is a useful tool to evaluate the functional liver reserve before hepatectomy for liver cancer. Taking ICG-R15 as criteria, we investigated the ability of a machine learning (ML)-based radiomics model produced by Gd-EOB-DTPA-...

Full description

Bibliographic Details
Main Authors: Ling Zhu, Feifei Wang, Xue Chen, Qian Dong, Nan Xia, Jingjing Chen, Zheng Li, Chengzhan Zhu
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Medical Imaging
Subjects:
Radiomics
Functional liver reserve
Machine learning
Gd-EOB-DTPA-enhanced hepatic MRI
Contrast-enhanced CT
Online Access:https://doi.org/10.1186/s12880-023-01050-1

Internet

https://doi.org/10.1186/s12880-023-01050-1

Similar Items