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

Y

Yunnan Cancer Hospital

Status

Enrolling

Conditions

Non-Alcoholic Fatty Liver Disease

Treatments

Drug: Neoadjuvant chemotherapy

Study type

Interventional

Funder types

Other

Identifiers

NCT06735118
KYLX2023-165

Details and patient eligibility

About

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.

Full description

Regarding the extraction of liver fat fraction, the traditional axial ROI method involves selecting several regions of interest (ROIs) at the largest cross-sectional level or across multiple continuous sections, and taking the average value as the whole-liver fat fraction. This method is complex, time-consuming, and cannot obtain the whole-liver fat fraction. In this study, a threshold extraction method is used to obtain the whole-liver fat fraction, enabling a 2D-to-3D conversion, which is more time-efficient and labor-saving, and provides a more accurate measurement.

Enrollment

120 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

Accepts Healthy Volunteers

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

Trial design

Primary purpose

Diagnostic

Allocation

Randomized

Interventional model

Single Group Assignment

Masking

Double Blind

120 participants in 2 patient groups

neoadjuvant chemotherapy group
Experimental group
Description:
Cancer patients undergoing chemotherapy.
Treatment:
Drug: Neoadjuvant chemotherapy
Non-neoadjuvant chemotherapy group
No Intervention group
Description:
Cancer patients not undergoing chemotherapy.

Trial contacts and locations

1

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Central trial contact

Lizhu Liu, Graduate; Zhenhui Li, MD

Data sourced from clinicaltrials.gov

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