Back to Search
Start Over
Metabolic tumor volume predicts long-term survival after transplantation for unresectable colorectal liver metastases: 15 years of experience from the SECA study.
- Source :
-
Annals of nuclear medicine [Ann Nucl Med] 2022 Dec; Vol. 36 (12), pp. 1073-1081. Date of Electronic Publication: 2022 Oct 14. - Publication Year :
- 2022
-
Abstract
- Objective: To report 15 years of experience with metabolic tumor volume (MTV) of liver metastases from the preoperative <superscript>18</superscript> F-FDG PET/CT to predict long-term survival after liver transplantation (LT) for unresectable colorectal liver metastases (CRLM).<br />Methods: The preoperative <superscript>18</superscript> F-FDG PET/CT from all SECA 1 and 2 patients was evaluated. MTV was obtained from all liver metastases. The patients were divided into one group with low MTV (< 70 cm <superscript>3</superscript> ) and one group with high MTV (> 70 cm <superscript>3</superscript> ) based on a receiver operating characteristic analysis. Overall survival (OS), disease-free survival (DFS) and post recurrence survival (PRS) for patients with low versus high MTV were compared using the Kaplan-Meier method and log rank test. Clinopathological features between the two groups were compared by a nonparametric Mann-Whitney U test for continuous and Fishers exact test for categorical data.<br />Results: At total of 40 patients were included. Patients with low MTV had significantly longer OS (p < 0.001), DFS (p < 0.001) and PRS (p = 0.006) compared to patients with high values. The patients with high MTV had higher CEA levels, number of liver metastases, size of the largest liver metastasis, N-stage, number of chemotherapy lines and more frequently progression of disease at LT compared to the patients with low MTV.<br />Conclusion: MTV of liver metastases is highly predictive of long-term OS, DFS and PRS after LT for unresectable CRLM and should be implemented in risk stratification prior to LT.<br /> (© 2022. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1864-6433
- Volume :
- 36
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Annals of nuclear medicine
- Publication Type :
- Academic Journal
- Accession number :
- 36241941
- Full Text :
- https://doi.org/10.1007/s12149-022-01796-8