Cardiac metabolic changes on
Publication/Presentation Date
9-1-2023
Abstract
PURPOSE: Heart doses have been shown to be predictive of cardiac toxicity and overall survival (OS) for esophageal cancer patients. There is potential for functional imaging to provide valuable cardiac information. The purpose of this study was to evaluate the cardiac metabolic dose-response using
METHODS: Fifty-one patients with esophageal cancer treated with radiation who underwent pre- and post-treatment FDG-PET scans were retrospectively evaluated. Pre- and post-treatment PET-scans were rigidly registered to the planning CT for each patient. Pre-treatment to post-treatment absolute mean SUV (SUVmean) changes in the heart were calculated to assess dose-response. A dose-response curve was generated by binning each voxel in the heart into 10 Gy dose-bins and analyzing the SUVmean changes in each dose-bin. Multivariate cox proportional hazard models were used to assess whether pre-to-post treatment cardiac SUVmean changes predicted for OS.
RESULTS: The cardiac dose-response curve demonstrated a trend of increasing cardiac SUV changes as a function of dose with an average increase of 0.044 SUV for every 10 Gy dose bin. In multivariate analysis, disease stage and SUVmean change in the heart were predictive (p < 0.05) for OS.
CONCLUSIONS: Changes in pre- to post-treatment cardiac SUV were predictive of OS with patients having a higher pre- to post-treatment cardiac SUV change surviving longer.
Volume
24
Issue
9
First Page
13552
Last Page
13552
ISSN
1526-9914
Published In/Presented At
Zakem, S. J., Jones, B., Castillo, R., Castillo, E., Miften, M., Goodman, K. A., Schefter, T., Olsen, J., & Vinogradskiy, Y. (2023). Cardiac metabolic changes on 18 F-positron emission tomography after thoracic radiotherapy predict for overall survival in esophageal cancer patients. Journal of applied clinical medical physics, 24(9), e13552. https://doi.org/10.1002/acm2.13552
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
35243772
Department(s)
Administration and Leadership
Document Type
Article