biostudies-literatureUnknown52(10)Auriac J<h4>Background</h4>Manual segmentation of organs from PET/CT images is a time-consuming and highly operator-dependent task. Open software solutions are now available to automatically segment all major anatomical structures in CT images.<h4>Purpose</h4>We compared the volumes and standardized uptake values (SUV) extracted from [18F]FDG-PET/CT patient scans for 33 anatomical structures segmented using two deep learning (DL) algorithms to determine if they are interchangeable.<h4>Methods</h4>Baseline [18F]FDG-PET/CT images were collected retrospectively for 315 women with metastatic breast cancer. A total of 33 anatomical volumes of interest (VOI) were segmented from the whole-body CT scans using both MOOSE v.3.0.14 and TotalSegmentator v.2.0.5 and copied onto the corresponding PET images. FoMedical physicse70025https://www.ebi.ac.uk/biostudies/studies/S-EPMC12460933biostudies-literatureComparison of organ volumes and standardized uptake values in [18F]FDG-PET/CT images using MOOSE and TotalSegmentator to segment CT images.PMC12460933Buvat IOrlhac FAuriac JJehanno NNioche CLoisel CBeyer THovhannisyan-Baghdasarian NSeban RDSundar LKSfalseComparison of organ volumes and standardized uptake values in [18F]FDG-PET/CT images using MOOSE and TotalSegmentator to segment CT images.<h4>Background</h4>Manual segmentation of organs from PET/CT images is a time-consuming and highly operator-dependent task. Open software solutions are now available to automatically segment all major anatomical structures in CT images.<h4>Purpose</h4>We compared the volumes and standardized uptake values (SUV) extracted from [18F]FDG-PET/CT patient scans for 33 anatomical structures segmented using two deep learning (DL) algorithms to determine if they are interchangeable.<h4>Methods</h4>Baseline [18F]FDG-PET/CT images were collected retrospectively for 315 women with metastatic breast cancer. A total of 33 anatomical volumes of interest (VOI) were segmented from the whole-body CT scans using both MOOSE v.3.0.14 and TotalSegmentator v.2.0.5 and copied onto the corresponding PET images. Fo2025-01-01T00:00:00Z2025 Oct2026-06-03T20:17:00.283Z2026-05-30T03:07:15.337ZS-EPMC124609334099394010.1002/mp.70025