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Study identifier: NCT06735118 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Non-Alcoholic Fatty Liver Disease  ·  Sponsor: Yunnan Cancer Hospital

PhaseNA
Planned participants120
Who can joinAll sexes, 18 Years to 80 Years
Healthy volunteersYes

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Lizhu Liu, Graduate  ·  18287509587  ·  liulizhu2022@163.com

Zhenhui Li, MD  ·  13698736132  ·  lizhenhui@kmmu.edu.cn

Always discuss trial participation with your own doctor first.

Locations (1)

Yunnan Cancer HospitalKunming, Yunnan, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT06735118