Overview
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.
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.
Eligibility
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