Literature DB >> 30545736

Comprehensive Intra-Institution stepping validation of knowledge-based models for automatic plan optimization.

R Castriconi1, C Fiorino2, S Broggi2, C Cozzarini3, N Di Muzio3, R Calandrino2, G M Cattaneo2.   

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; bowel\bladder V50Gy and D1%, bowel\bladder\rectum Dmean, femoral heads V40Gy and penile bulb V50Gy 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.
Copyright © 2018 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automatic planning; Knowledge-based; Machine learning; Prostate radiotherapy

Mesh:

Year:  2018        PMID: 30545736     DOI: 10.1016/j.ejmp.2018.12.002

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  6 in total

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4.  Replacing Manual Planning of Whole Breast Irradiation With Knowledge-Based Automatic Optimization by Virtual Tangential-Fields Arc Therapy.

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Authors:  Hideaki Hirashima; Mitsuhiro Nakamura; Nobutaka Mukumoto; Ryo Ashida; Kota Fujii; Kiyonao Nakamura; Aya Nakajima; Katsuyuki Sakanaka; Michio Yoshimura; Takashi Mizowaki
Journal:  J Appl Clin Med Phys       Date:  2021-06-20       Impact factor: 2.102

6.  Dosimetric Evaluation of Simplified Knowledge-Based Plan with an Extensive Stepping Validation Approach in Volumetric-Modulated Arc Therapy-Stereotactic Body Radiotherapy for Lung Cancer.

Authors:  Yutaro Wada; Hajime Monzen; Mikoto Tamura; Masakazu Otsuka; Masahiro Inada; Kazuki Ishikawa; Hiroshi Doi; Kiyoshi Nakamatsu; Yasumasa Nishimura
Journal:  J Med Phys       Date:  2021-05-05
  6 in total

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