Feasibility Study of Deep Learning-based MDixon Quant for Quantitative Assessment of Chemotherapy-induced Fatty Liver
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.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Lizhu Liu, Graduate
- Phone Number: 18287509587
- Email: liulizhu2022@163.com
Study Contact Backup
- Name: Zhenhui Li, MD
- Phone Number: 13698736132
- Email: lizhenhui@kmmu.edu.cn
Study Locations
-
-
Yunnan
-
Kunming, Yunnan, China, 650118
- Recruiting
- Yunnan Cancer Hospital
-
Contact:
- Guojun Zhang, Professor
- Phone Number: 0871-68173640
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- CT/B ultrasound showed no fatty liver
- No MRI contraindications, including pacemaker, stent, metal implant, or claustrophobia
- Received neoadjuvant/adjuvant chemotherapy
Exclusion Criteria:
- Missing follow-up information
- Liver lesions (metastases, hemangioma, etc.)
- Poor image quality
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Single Group Assignment
- Masking: Double
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: neoadjuvant chemotherapy group
Cancer patients undergoing chemotherapy.
|
Neoadjuvant chemotherapy
Other Names:
|
|
No Intervention: Non-neoadjuvant chemotherapy group
Cancer patients not undergoing chemotherapy.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Extract the whole liver fat fraction
Time Frame: one year
|
Extract the whole liver fat fraction using the threshold extraction method.
|
one year
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Lianhua Ye, Ethics Committee of Yunnan Provincial Cancer Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- KYLX2023-165
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.