Automated Segmentation of Baseline Metabolic Total Tumor Burden in Diffuse Large B-Cell Lymphoma: Which Method Is Most Successful? A Study on Behalf of the PETRA Consortium.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
Sally F BarringtonRonald Boellaard

Abstract

Metabolic tumor volume (MTV) is a promising biomarker of pretreatment risk in diffuse large B-cell lymphoma (DLBCL). Different segmentation methods can be used that predict prognosis equally well but give different optimal cutoffs for risk stratification. Segmentation can be cumbersome; a fast, easy, and robust method is needed. Our aims were to evaluate the best automated MTV workflow in DLBCL; determine whether uptake time, compliance or noncompliance with standardized recommendations for 18F-FDG scanning, and subsequent disease progression influence the success of segmentation; and assess differences in MTVs and discriminatory power of segmentation methods. Methods: One hundred forty baseline 18F-FDG PET/CT scans were selected from U.K. and Dutch studies on DLBCL to provide a balance between scans at 60 and 90 min of uptake, parameters compliant and noncompliant with standardized recommendations for scanning, and patients with and without progression. An automated tool was applied for segmentation using an SUV of 2.5 (SUV2.5), an SUV of 4.0 (SUV4.0), adaptive thresholding (A50P), 41% of SUVmax (41%), a majority vote including voxels detected by at least 2 methods (MV2), and a majority vote including voxels detected by at lea...Continue Reading

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Citations

Nov 1, 2020·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Sally BarringtonRonald Boellaard
Oct 11, 2020·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Eric Laffon, Roger Marthan
Aug 19, 2021·European Journal of Nuclear Medicine and Molecular Imaging·Jakoba J EertinkJosée M Zijlstra
Sep 4, 2021·European Journal of Nuclear Medicine and Molecular Imaging·J J EertinkUNKNOWN HOVON imaging workgroup
Mar 7, 2021·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Gerben J C ZwezerijnenRonald Boellaard
Nov 5, 2021·Current Oncology Reports·Bruce D Cheson, Michel Meignan

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