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A Quantitative Approach to Predict Therapeutic Response in Hodgkin’S Lymphoma Using 18Fdg Pet/Ct Publisher



Jajroudi M1, 2 ; Jamalirad H1 ; Enferadi M3 ; Roshanravan V4 ; Vosoughi H5 ; Emami F6 ; Geramifar P5 ; Eslami S1, 2
Authors
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Authors Affiliations
  1. 1. Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
  2. 2. Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
  3. 3. Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, 06520-8042, CT, United States
  4. 4. Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Ghaem Hospital, Mashhad, Iran
  5. 5. Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Nuclear Medicine and Molecular Imaging Department, Imam Reza International University, Razavi Hospital, Mashhad, Iran

Source: Journal of Medical and Biological Engineering Published:2025


Abstract

Purpose: 18F-FDG PET/CT is a valuable tool for assessing treatment response in Hodgkin Lymphoma (HL). While the Deauville criteria provide a qualitative assessment, quantitative analysis offers a more objective and reproducible approach. The study aims to develop a quantitative PET/CT model to predict treatment response in HL by identifying optimal cutoff values for key imaging parameters. Methods: A retrospective analysis of 228 HL lesions was conducted. Semi-quantitative PET/CT parameters, including standardized uptake value(s), total lesion glycolysis, and metabolic tumor volume, were extracted from baseline, post-cycle 4, and end-of-treatment scans. Optimal cutoff values were determined using the Youden index. A predictive LASSO model was developed to identify the most significant parameters based on the quantitative criteria. Results: Delta-SUVmax emerged as the most significant predictor of treatment response. Optimal cutoff values were established for PET4 and PET EOT. The LASSO model incorporating these cutoff values achieved an AUC of 0.878. Conclusion: Quantitative PET/CT analysis, particularly Delta-SUVmax, offers a promising approach to enhance the accuracy of treatment response assessment in HL. The developed predictive model may aid in early identification of non-responders, allowing for timely therapeutic adjustments. Further validation is warranted to establish its clinical utility. © Taiwanese Society of Biomedical Engineering 2025.