Journal of Medical Imaging and Radiation Oncology · 2019 · 20 citations · 21 references
MedicineOncologyRadiation OncologyClinical Radiation OncologyRadiation DosimetryTreatment PlanningPatient-specific DosimetryQuality Assurance In DosimetryRadiation Dose MeasurementRadiation TherapyRadiation Treatment PlanningTarget Volume DelineationClinical Target Volume DelineationContouringDose Volume HistogramDose-volume Histogram AnalysisRadiation Oncology ContouringRadiotherapy Plan EvaluationTarget Delineation UncertaintyTarget Volume Evaluation Metrics
INTRODUCTION: Variation in target volume delineation from clinical trial protocols has been shown to contribute to poorer patient outcomes. A clinical trial quality assurance framework can support compliance with trial protocol. Results of the TROG 08.03 RAVES benchmarking exercise considering variation from protocol, inter-observer variability and impact on dosimetry are reported in this paper. METHODS: Clinicians were required to contour and plan a benchmarking case according to trial protocol. Geometric pjmirometers including volume, Hausdorff Distance, Mean Distance to Agreement and DICE similarity coefficient were analysed for targets and organs at risk. Submitted volumes were compared to a STAPLE and consensus 'reference' volume for each structure. Dosimetric analysis was performed using dose volume histogram data. RESULTS: . The most common dosimetric protocol variation related to rectal dosimetry. The mean submitted rectal volume receiving 40 Gy and 60 Gy, respectively, was 56.14% ± 5.55% and 30.25% ± 6.15%. When corrected to the protocol defined length the mean rectal volume receiving 40 Gy was 60.8% ± 7.92%, while the volume receiving 60 Gy was 33.86% ± 8.21%. CONCLUSION: Variations from protocol were found in the RAVES benchmarking exercise, most notably in CTV and rectum delineation. Inter-observer variability was evident. Incorrect delineation of the rectum impacted on dosimetric compliance with protocol.
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The Measurement of Observer Agreement for Categorical Data
J. Richard Landis, Gary G. Koch · Biometrics · 1977 · 78.9K citations · Full text
Jeff M. Michalski, C.A. Lawton, Issam El Naqa et al. · International Journal of Radiation Oncology*Biology*Physics · 2009 · 404 citations · Full text