Multicenter comparison of measures for quantitative evaluation of contouring in radiotherapy

作者：Mark J. Gooding, Djamal Boukerroui, Eliana Vásquez Osorio, René Monshouwer, Ellen Brunenberg · 发表于：Physics and Imaging in Radiation Oncology · 年份：2022 · DOI：10.1016/j.phro.2022.11.009 · 被引用次数：16 · 研究领域：Advanced Radiotherapy Techniques、Advances in Oncology and Radiotherapy、Radiomics and Machine Learning in Medical Imaging

Background and Purpose: A wide range of quantitative measures are available to facilitate clinical implementation of auto-contouring software, on-going Quality Assurance (QA) and interobserver contouring variation studies. This study aimed to assess the variation in output when applying different implementations of the measures to the same data in order to investigate how consistently such measures are defined and implemented in radiation oncology. Materials and Methods: A survey was conducted to assess if there were any differences in definitions of contouring measures or their implementations that would lead to variation in reported results between institutions. This took two forms: a set of computed tomography (CT) image data with "Test" and "Reference" contours was distributed for participants to process using their preferred tools and report results, and a questionnaire regarding the definition of measures and their implementation was completed by the participants. Results: Thirteen participants completed the survey and submitted results, with one commercial and twelve in-house solutions represented. Excluding outliers, variations of up to 50% in Dice Similarity Coefficient (DSC), 50% in 3D Hausdorff Distance (HD), and 200% in Average Distance (AD) were observed between the participant submitted results. Collaborative investigation with participants revealed a large number of bugs in implementation, confounding the understanding of intentional implementation choices. Con...