ESTRO 2025 - Abstract Book

S2553

Physics - Autosegmentation

ESTRO 2025

Conclusion: The DL-based PARS model shows promise for estimating TB at baseline and during follow-up, although performance varies by lesion site and TB level. Radiation oncologists might use such tools to support treatment timing decisions for metastatic melanoma patients.

Keywords: Deep-learning, auto-segmentation, melanoma

References: 1. Zhou Z, Jain P, Lu Y, Macapinlac H, Wang ML, Son JB, Pagel MD, Xu G, Ma J. Computer-aided detection of mantle cell lymphoma on 18F-FDG PET/CT using a deep learning convolutional neural network. Am J Nucl Med Mol Imaging. 2021 Aug 15;11(4):260-270. PMID: 34513279; PMCID: PMC8414404. 2. Liu C, Gardner SJ, Wen N, Elshaikh MA, Siddiqui F, Movsas B, Chetty IJ. Automatic Segmentation of the Prostate on CT Images Using Deep Neural Networks (DNN). Int J Radiat Oncol Biol Phys. 2019 Jul 15;104(4):924-932. doi: 10.1016/j.ijrobp.2019.03.017. Epub 2019 Mar 16. PMID: 30890447.

Made with FlippingBook Ebook Creator