Comprehensive Intra-Institution stepping validation of knowledge-based models for automatic plan optimization
Articolo
Data di Pubblicazione:
2019
Citazione:
Comprehensive Intra-Institution stepping validation of knowledge-based models for automatic plan optimization / Castriconi, R.; Fiorino, C.; Broggi, S.; Cozzarini, C.; Di Muzio, N.; Calandrino, R.; Cattaneo, G. M.. - In: PHYSICA MEDICA. - ISSN 1120-1797. - 57:(2019), pp. 231-237. [10.1016/j.ejmp.2018.12.002]
Abstract:
Purpose: To develop and apply a stepping approach for the validation of Knowledge-based (KB) models for planning optimization: the method was applied to the case of concomitant irradiation of pelvic nodes and prostate + seminal−vesicles bed irradiation in post-prostatectomy patients. Methods: The clinical VMAT plans of 52 patients optimized by two reference planners were selected to generate a KB-model (RapidPlan, v.13.5 Varian). A stepping-validation approach was followed by comparing KB-generated plans (with and without planner-interaction, RP and only-RP respectively) against delivered clinical plans (RA). The validation followed three steps, gradually extending its generalization: 20 patients used to develop the model (closed-loop); 20 new patients, same planners (open-loop); 20 new patients, different planners (wide-loop). All plans were compared, in terms of relevant dose-volume parameters and generalized equivalent uniform dose (gEUD). Results: KB-plans were generally better than or equivalent to clinical plans. For RPvsRA, PTVs coverage was comparable, for OARs RP was always better. Comparing only-RPvsRA, PTVs coverage was always better; bowelladder V 50Gy and D 1% , bowelladderectum D mean , femoral heads V 40Gy and penile bulb V 50Gy were significantly improved. For RPvsRA gEUD reduction >1 Gy was seen in 80% of plans for rectum, bladder and bowel; for only-RPvsRA, this was found in 50% for rectum/bladder and in 70% for bowel. Conclusion: An extensive stepping validation approach of KB-model for planning optimization showed better or equal performances of automatically generated KB-plan compared to clinical plans. The interaction of a planner further improved planning performances.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Automatic planning; Knowledge-based; Machine learning; Prostate radiotherapy; Automation; Radiotherapy Planning, Computer-Assisted; Models, Theoretical
Elenco autori:
Castriconi, R.; Fiorino, C.; Broggi, S.; Cozzarini, C.; Di Muzio, N.; Calandrino, R.; Cattaneo, G. M.
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