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

NCT06735118 · tracked via the Priya Life Science China tracker

Sponsor

Yunnan Cancer Hospital

Phase

Not applicable

Started

2023-12-25

Last updated

2024-12-16

Condition(s) studied

Non-Alcoholic Fatty Liver Disease

Investigational drug(s) / intervention(s)

Neoadjuvant chemotherapy

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

Sex

ALL

Min age

18 Years

Max age

80 Years

Healthy volunteers

Accepted

Inclusion Criteria: 1. CT/B ultrasound showed no fatty liver 2. No MRI contraindications, including pacemaker, stent, metal implant, or claustrophobia 3. Received neoadjuvant/adjuvant chemotherapy Exclusion Criteria: 1. Missing follow-up information 2. Liver lesions (metastases, hemangioma, etc.) 3. Poor image quality

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

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Official registry record

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