Ireland
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Recruiting Not applicable

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
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)

FacilityCityRegionStatus
Yunnan Cancer Hospital Kunming Yunnan Recruiting
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