Radiotherapy and Oncology · 2017 · 55 citations · 26 references
MedicineOncologyRadiation OncologyRadiation DosimetryRadiation ProtectionTreatment PlanningDose CalculationPatient-specific DosimetryRadiation TherapyRadiation Treatment PlanningToxicity Risk AssessmentTreatment Planning Dose CalculationClinical Toxicity EndpointsDose Surface MappingImaging-based DosimetryIsodose DistributionProstate Cancer RadiotherapyReceiver Operating Characteristic AnalysisRectal Bleeding AssessmentRectal Toxicity
BACKGROUND AND PURPOSE: For the first time, delivered dose to the rectum has been calculated and accumulated throughout the course of prostate radiotherapy using megavoltage computed tomography (MVCT) image guidance scans. Dosimetric parameters were linked with toxicity to test the hypothesis that delivered dose is a stronger predictor of toxicity than planned dose. MATERIAL AND METHODS: Dose-surface maps (DSMs) of the rectal wall were automatically generated from daily MVCT scans for 109 patients within the VoxTox research programme. Accumulated-DSMs, representing total delivered dose, and planned-DSMs, from planning CT data, were parametrised using Equivalent Uniform Dose (EUD) and 'DSM dose-width', the lateral dimension of an ellipse fitted to a discrete isodose cluster. Associations with 6 toxicity endpoints were assessed using receiver operator characteristic curve analysis. RESULTS: For rectal bleeding, the area under the curve (AUC) was greater for accumulated dose than planned dose for DSM dose-widths up to 70Gy. Accumulated 65Gy DSM dose-width produced the strongest spatial correlation (AUC 0.664), while accumulated EUD generated the largest AUC overall (0.682). For proctitis, accumulated EUD was the only reportable predictor (AUC 0.673). Accumulated EUD was systematically lower than planned EUD. CONCLUSIONS: Dosimetric parameters extracted from accumulated DSMs have demonstrated stronger correlations with rectal bleeding and proctitis, than planned DSMs.
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David P. Dearnaley, Isabel Syndikus, Helen Mossop et al. · The Lancet Oncology · 2016 · 1.3K citations · Full text
The UCLA Prostate Cancer Index
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