Inter-institutional variability of knowledge-based plan prediction of left whole breast irradiation.
Phys Med
; 120: 103331, 2024 Apr.
Article
em En
| MEDLINE
| ID: mdl-38484461
ABSTRACT
PURPOSE:
Within a multi-institutional project, we aimed to assess the transferability of knowledge-based (KB) plan prediction models in the case of whole breast irradiation (WBI) for left-side breast irradiation with tangential fields (TF).METHODS:
Eight institutions set KB models, following previously shared common criteria. Plan prediction performance was tested on 16 new patients (2 pts per centre) extracting dose-volume-histogram (DVH) prediction bands of heart, ipsilateral lung, contralateral lung and breast. The inter-institutional variability was quantified by the standard deviations (SDint) of predicted DVHs and mean-dose (Dmean). The transferability of models, for the heart and the ipsilateral lung, was evaluated by the range of geometric Principal Component (PC1) applicability of a model to test patients of the other 7 institutions.RESULTS:
SDint of the DVH was 1.8â¯% and 1.6â¯% for the ipsilateral lung and the heart, respectively (20â¯%-80â¯% dose range); concerning Dmean, SDint was 0.9â¯Gy and 0.6â¯Gy for the ipsilateral lung and the heart, respectively (<0.2â¯Gy for contralateral organs). Mean predicted doses ranged between 4.3 and 5.9â¯Gy for the ipsilateral lung and 1.1-2.3â¯Gy for the heart. PC1 analysis suggested no relevant differences among models, except for one centre showing a systematic larger sparing of the heart, concomitant to a worse PTV coverage, due to high priority in sparing the left anterior descending coronary artery.CONCLUSIONS:
Results showed high transferability among models and low inter-institutional variability of 2% for plan prediction. These findings encourage the building of benchmark models in the case of TF-WBI.Palavras-chave
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Mama
/
Parede Torácica
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Radioterapia de Intensidade Modulada
Limite:
Female
/
Humans
Idioma:
En
Revista:
Phys Med
Ano de publicação:
2024
Tipo de documento:
Article