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Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC.

Nandita M deSouzaAad van der LugtChristophe M DerooseAngel Alberich-BayarriLuc BidautLaure FournierLena CostaridouDaniela E Oprea-LagerElmar KotterMarion SmitsMarius E MayerhoeferRonald BoellaardAnna CaroliLioe-Fee de Geus-OeiWolfgang G KunzEdwin H OeiFrederic LecouvetManuela FrancaChristian LoeweEgesta LopciCaroline CaramellaAnders PerssonXavier GolayMarc DeweyJames P B O'ConnorPim deGraafSergios GatidisGudrun Zahlmannnull nullnull null
Published in: Insights into imaging (2022)
Items with ≥ 75% consensus are considered a recommendation. These include system performance certification, thresholds for image signal-to-noise, contrast-to-noise and tumour-to-background ratios, spatial resolution, and artefact levels. Direct, iterative, and machine or deep learning reconstruction methods, use of a mixture of CE marked and verified research tools were agreed and use of specified reference standards and validation processes considered essential. Operator training and refreshment were considered mandatory for clinical trials and clinical research. Items with a 60-74% agreement require reporting (site-specific accreditation for clinical research, minimal pixel number within lesion segmented, use of post-reconstruction algorithms, operator training refreshment for clinical practice). Items with ≤ 60% agreement are outside current recommendations for segmentation (frequency of system performance tests, use of only CE-marked tools, board certification of operators, frequency of operator refresher training). Recommendations by anatomical area are also specified.
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