PREDICTIVE VALUE OF QUANTITATIVE <sup>18</sup> F‐FDG‐PET‐CT RADIOMICS ANALYSIS IN 174 PATIENTS WITH RELAPSED/REFRACTORY CLASSICAL HODGKIN LYMPHOMA

نویسندگان

چکیده

Introduction: About 20% of patients with classical Hodgkin lymphoma (cHL) relapse or are primary refractory to first-line treatment and require second-line therapy followed by autologous stem cell transplant. There is no one standard it possible that not all such an aggressive approach achieve cure. Quantitative analysis baseline 18F-FDG-PET-CT scans could provide a comprehensible risk-assessment complementary clinical risk-factors. Methods: We analysed from r/r cHL treated within three trials ICE, ICE brentuximab vedotin (BV) DHAP BV. For the risk model we used following parameters: vs relapse, age, Ann Arbor stage B-symptoms. Metabolic tumor volume (MTV) was calculated using fixed threshold uptake value (SUV) ≥4.0. Radiomics features were extracted in compliance Image Biomarker Standardization Initiative. developed predictive for 3-year time progression (TTP) logistic regression backward selection on robust radiomics features, e.g. SUVpeak (highest 1mL region FDG uptake) several novel dispersity representing dissemination differences SUV lesions patient. Results cross-validated (CV) validated independent external cohort. High-risk groups defined based prevalence events training cohort (22/110; 20%). Results: included 174 patients; n = 110 set (BV-DHAP BV-ICE cohort) 64 validation (ICE cohort). The resulted area under curve (AUC) 0.81 (tAUC), CV-AUC 0.76 AUC 0.74 (vAUC). 6 PET features: MTV 5 features. showed tAUC 0.73, 0.63 vAUC 0.70. Combining parameters yielded 0.90, 0.79 0.77. Using combined set, high-risk group (n 22) had TTP 38% 90% low-risk 88; p < 0.0001; Fig1A). In 39% 80% high- 13) 51; 0.0011; Fig1B). Fig1C example PET-CT two IV disease high low prediction score. EA - previously submitted EHA 2021. research funded by: SHOW foundation (Amsterdam UMC donation fund support hematology/oncology scientific research) Keywords: Diagnostic Prognostic Biomarkers, PET-CT, No conflicts interests pertinent abstract.

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ژورنال

عنوان ژورنال: Hematological Oncology

سال: 2021

ISSN: ['1099-1069', '0278-0232']

DOI: https://doi.org/10.1002/hon.21_2879