Congress:
ECR25
Poster Number:
C-11739
Type:
Poster: EPOS Radiologist (scientific)
DOI:
10.26044/ecr2025/C-11739
Authorblock:
X. Tang, F. Wu, S. Ye, J. Lu; Hangzhou/CN
Disclosures:
Xin Tang:
Nothing to disclose
Fan Wu:
Nothing to disclose
Shengli Ye:
Nothing to disclose
Jinlan Lu:
Nothing to disclose
Keywords:
Artificial Intelligence, Liver, Lung, CT, PET-CT, PET-MR, Acceptance testing, Cancer
In conclusion, 18F-FDG PET/CT metabolic parameters are correlated with MVI in HCC patients, offering a non-invasive technique to predict MVI before LT, and providing insights into disease diagnosis, tumor staging, and tumor distribution heterogeneity, which are vital for the accurate diagnosis and treatment of HCC.