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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-80
SponsorYunnan Cancer Hospital

About this trial

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 criteria

Qualifiers

CT/B ultrasound showed no fatty liver

No MRI contraindications, including pacemaker, stent, metal implant, or claustrophobia

Received neoadjuvant/adjuvant chemotherapy

Disqualifiers

Missing follow-up information

Liver lesions (metastases, hemangioma, etc.)

Poor image quality

Trial design

Treatments tested in this trial

  • Neoadjuvant chemotherapy

Treatment groups

120 Participants
are divided into 2 treatment groups

Sponsors and collaborators