Gd-EOB-DTPA-enhanced MRI Image Characteristics and Radiomics Characteristics Combined with Machine Learning for Assessment of Functional Liver Reserve.

Journal: Current medical imaging

Published Date: Jan 1, 2024

Abstract

OBJECTIVE: To investigate the feasibility of image characteristics and radiomics combined with machine learning based on Gd-EOB-DTPA-enhanced MRI for functional liver reserve assessment in cirrhotic patients.

Authors

Xin-Yu Zhu

Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, China.
Yu-Rou Zhang

Depaartment of Radiology, The Second Affiliated Hospital of Kunming Medical University, China.
Li Guo

Department of Dental Implantology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.

Keywords

Contrast Media Feasibility Studies Gadolinium DTPA Humans Liver Liver Cirrhosis Machine Learning Magnetic Resonance Imaging Radiomics Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (38415476)

Gd-EOB-DTPA-enhanced MRI Image Characteristics and Radiomics Characteristics Combined with Machine Learning for Assessment of Functional Liver Reserve.

Abstract

Authors

Keywords

External Resources

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