Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network

Tie X, Shin M, Lee C, Perlman SB, Huemann Z, Weisman AJ, Castellino SM, Kelly KM, McCarten KM, Alazraki AL, Hu J, Cho SY, Bradshaw TJ. Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network. ArXiv [Preprint]. 2024 Oct 1:arXiv:2404.08611v2. Update in: Radiol Artif Intell. 2025 Feb 19:e240229. doi: 10.1148/ryai.240229. PMID: 38659641; PMCID: PMC11042444.

Automatic quantification of longitudinal changes in PET scans for lymphoma patients has proven challenging, as residual disease in interim-therapy scans is often subtle and difficult to detect. Our goal was to develop a longitudinally-aware segmentation network (LAS-Net) that can quantify serial PET/CT images for pediatric Hodgkin lymphoma patients.