Clinical Trial

Feasibility Study of Deep Learning-based MDixon Quant for Quantitative Assessment of Chemotherapy-induced Fatty Liver

Recruiting
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Record status
This record was last updated December 16, 2024 (before its estimated December 30, 2024 completion). Its status may not reflect the trial's current state.
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.
Trial Details
NCT Number NCT06735118
Lead Sponsor Yunnan Cancer Hospital
Conditions Non-Alcoholic Fatty Liver Disease
Enrollment 120 participants
Start Date 2023-12-25
Primary Completion 2024-12-30 (estimated)
Study Completion 2024-12-30 (estimated)
Updated on ClinicalTrials.gov 2024-12-16