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Feasibility Study of Deep Learning-based MDixon Quant for Quantitative Assessment of Chemotherapy-induced Fatty Liver
Sponsor: Yunnan Cancer Hospital
Summary
The purpose of this study is to quantitatively assess the changes in liver fat content in cancer patients before and after treatment. The main questions it aims to answer are:How does the liver fat fraction change before and after chemotherapy? In this study, patients undergoing mDixon Quant scanning are subjected to fully automated segmentation and measurement of liver fat content using artificial intelligence.
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
120
Start Date
2023-12-25
Completion Date
2024-12-30
Last Updated
2024-12-16
Healthy Volunteers
Yes
Conditions
Interventions
Neoadjuvant chemotherapy
Neoadjuvant chemotherapy
Locations (1)
Yunnan Cancer Hospital
Kunming, Yunnan, China