Abstract
Purpose: Radiotherapy is a widely accepted standard of care for early-stage prostate cancer, and it is believed that the plan quality and treatment outcome are associated with contour accuracy of both the target and organs-at-risk (OAR). The purposes of this study are to 1) assess geometric and dosimetric uncertainties due to inter-observer contour variabilities and 2) evaluate the effectiveness of geometric indicators to predict target dosimetry in prostate radiotherapy. Methods: Twenty prostate patients were selected for this re-trospective study. Five experienced clinicians created unique structure sets containing prostate, seminal vesicles, bladder, and rectum for each patient. A fully automated script and knowledge-based planning routine were utilized to create standardized and unbiased plans that could be used to evaluate changes in isodose distributions due to inter-observer variability in structure segmentation. Plans were created on a “gold-standard” structure set, as well as on each of the user-defined structure sets. Results: Inter-observer variability of contours during structure segmentation was very low for clearly defined organs such as the bladder but increased for organs without well-defined borders (prostate, seminal vesicles, and rectum). For plans generated with the user-defined structure sets, strong/moderate correlations were observed be-tween the geometric indicators for target structure agreement and target cov-erage for both low-risk and intermediate-risk patient groups, while OAR in-dicators showed no correlation to final dosimetry. Conclusions: Target de-lineation is crucial in order to maintain adequate dosimetric coverage regard-less of the associated inter-observer uncertainties in OAR contours that had a limited impact upon final dosimetry.
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CITATION STYLE
Liu, H., Amaloo, C., Sintay, B., & Wiant, D. (2021). Dosimetric Effects Due to Inter-Observer Variability of Organ Contouring When Utilizing a Knowledge-Based Planning System for Prostate Cancer. International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, 10(02), 47–58. https://doi.org/10.4236/ijmpcero.2021.102005
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