Feasibility Study of Deep Learning-based MDixon Quant for Quantitative Assessment of Chemotherapy-induced Fatty Liver
Condition(s) studied
Investigational drug(s) / intervention(s)
Neoadjuvant chemotherapy: Neoadjuvant chemotherapy
Study 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.
Eligibility
Primary outcome measure(s)
- Extract the whole liver fat fraction — one year
Extract the whole liver fat fraction using the threshold extraction method.
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Yunnan Cancer Hospital | Kunming | Yunnan | Recruiting |
More Yunnan Cancer Hospital trials in China
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06735118 on ClinicalTrials.gov ↗ ← All trials in China