Feasibility Study of Deep Learning-based MDixon Quant for Quantitative Assessment of Chemotherapy-induced Fatty Liver
Status: Recruiting
Location: See location...
Intervention Type: Drug
Study Type: Interventional
Study Phase: Not Applicable
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
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: t
View:
• CT/B ultrasound showed no fatty liver
• No MRI contraindications, including pacemaker, stent, metal implant, or claustrophobia
• Received neoadjuvant/adjuvant chemotherapy
Locations
Other Locations
China
Yunnan Cancer Hospital
RECRUITING
Kunming
Contact Information
Primary
Lizhu Liu, Graduate
liulizhu2022@163.com
18287509587
Backup
Zhenhui Li, MD
lizhenhui@kmmu.edu.cn
13698736132
Time Frame
Start Date: 2023-12-25
Estimated Completion Date: 2024-12-30
Participants
Target number of participants: 120
Treatments
Experimental: neoadjuvant chemotherapy group
Cancer patients undergoing chemotherapy.
No_intervention: Non-neoadjuvant chemotherapy group
Cancer patients not undergoing chemotherapy.
Related Therapeutic Areas
Sponsors
Leads: Yunnan Cancer Hospital