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Brachytherapy ; 18(3): 396-403, 2019.
Article in English | MEDLINE | ID: mdl-30718176

ABSTRACT

PURPOSE: Bi-objective treatment planning for high-dose-rate prostate brachytherapy is a novel treatment planning method with two separate objectives that represent target coverage and organ-at-risk sparing. In this study, we investigated the feasibility and plan quality of this method by means of a retrospective observer study. METHODS AND MATERIALS: Current planning sessions were recorded to configure a bi-objective optimization model and to assess its applicability to our clinical practice. Optimization software, GOMEA, was then used to automatically generate a large set of plans with different trade-offs in the two objectives for each of 18 patients treated with high-dose-rate prostate brachytherapy. From this set, five plans per patient were selected for comparison to the clinical plan in terms of satisfaction of planning criteria and in a retrospective observer study. Three brachytherapists were asked to evaluate the blinded plans and select the preferred one. RESULTS: Recordings demonstrated applicability of the bi-objective optimization model to our clinical practice. For 14/18 patients, GOMEA plans satisfied all planning criteria, compared with 4/18 clinical plans. In the observer study, in 53/54 cases, a GOMEA plan was preferred over the clinical plan. When asked for consensus among observers, this ratio was 17/18 patients. Observers highly appreciated the insight gained from comparing multiple plans with different trade-offs simultaneously. CONCLUSIONS: The bi-objective optimization model adapted well to our clinical practice. GOMEA plans were considered equal or superior to the clinical plans. In addition, presenting multiple high-quality plans provided novel insight into patient-specific trade-offs.


Subject(s)
Brachytherapy/methods , Organ Sparing Treatments , Prostatic Neoplasms/radiotherapy , Radiotherapy Planning, Computer-Assisted/methods , Aged , Aged, 80 and over , Feasibility Studies , Humans , Male , Middle Aged , Organs at Risk , Radiotherapy Dosage , Retrospective Studies , Software
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