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Purpose <p><sup>18</sup>F-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.</p> Methods <p>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.</p> Results <p>Delta-SUV<sub>max</sub> 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.</p> Conclusion <p>Quantitative PET/CT analysis, particularly Delta-SUV<sub>max</sub>, 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.</p>

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A Quantitative Approach to Predict Therapeutic Response in Hodgkin’s Lymphoma Using 18FDG PET/CT

  • 期刊论文

  • 发表日期：

    2025年4月6日

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  • Mahdie Jajroudi,
  • Hossein Jamalirad,
  • Milad Enferadi,
  • Vahid Roshanravan,
  • Habibeh Vosoughi,
  • Farshad Emami,
  • Parham Geramifar,
  • Saeid Eslami

摘要

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.