Comprehensive Intra-Institution stepping validation of knowledge-based models for automatic plan optimization. (January 2019)
- Record Type:
- Journal Article
- Title:
- Comprehensive Intra-Institution stepping validation of knowledge-based models for automatic plan optimization. (January 2019)
- Main Title:
- Comprehensive Intra-Institution stepping validation of knowledge-based models for automatic plan optimization
- Authors:
- Castriconi, R.
Fiorino, C.
Broggi, S.
Cozzarini, C.
Di Muzio, N.
Calandrino, R.
Cattaneo, G.M. - Abstract:
- Highlights: KB-model for irradiation of nodes + prostate + vesicles in post-prostatectomy patients. The step-validation increased the confidence in using KB-optimization. Automatic KB-model showed better/equal performances compared to clinical plans. The interaction of a planner further improved planning performances. A gEUD reduction (up to 9 Gy) was seen in both KB optimization modalities. 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 RPHighlights: KB-model for irradiation of nodes + prostate + vesicles in post-prostatectomy patients. The step-validation increased the confidence in using KB-optimization. Automatic KB-model showed better/equal performances compared to clinical plans. The interaction of a planner further improved planning performances. A gEUD reduction (up to 9 Gy) was seen in both KB optimization modalities. 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. … (more)
- Is Part Of:
- Physica medica. Volume 57(2019)
- Journal:
- Physica medica
- Issue:
- Volume 57(2019)
- Issue Display:
- Volume 57, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 57
- Issue:
- 2019
- Issue Sort Value:
- 2019-0057-2019-0000
- Page Start:
- 231
- Page End:
- 237
- Publication Date:
- 2019-01
- Subjects:
- Knowledge-based -- Automatic planning -- Machine learning -- Prostate radiotherapy
Medical physics -- Periodicals
Biophysics -- Periodicals
Biophysics -- Periodicals
Imagerie médicale -- Périodiques
Radiothérapie -- Périodiques
Rayons X -- Sécurité -- Mesures -- Périodiques
Physique -- Périodiques
Médecine -- Périodiques
610.153 - Journal URLs:
- http://www.sciencedirect.com/science/journal/11201797 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/11201797 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/11201797 ↗
http://www.elsevier.com/journals ↗
http://www.physicamedica.com ↗ - DOI:
- 10.1016/j.ejmp.2018.12.002 ↗
- Languages:
- English
- ISSNs:
- 1120-1797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6475.070000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9502.xml