A broad scope knowledge based model for optimization of VMAT in esophageal cancer: Validation and assessment of plan quality among different treatment centers

Antonella Fogliata, Giorgia Nicolini, Alessandro Clivio, Eugenio Vanetti, Sarbani Laksar, Angelo Tozzi, Marta Scorsetti, Luca Cozzi

Research output: Contribution to journalArticle

Abstract

Background: To evaluate the performance of a broad scope model-based optimisation process for volumetric modulated arc therapy applied to esophageal cancer. Methods and materials: A set of 70 previously treated patients in two different institutions, were selected to train a model for the prediction of dose-volume constraints. The model was built with a broad-scope purpose, aiming to be effective for different dose prescriptions and tumour localisations. It was validated on three groups of patients from the same institution and from another clinic not providing patients for the training phase. Comparison of the automated plans was done against reference cases given by the clinically accepted plans. Results: Quantitative improvements (statistically significant for the majority of the analysed dose-volume parameters) were observed between the benchmark and the test plans. Of 624 dose-volume objectives assessed for plan evaluation, in 21 cases (3.3 %) the reference plans failed to respect the constraints while the model-based plans succeeded. Only in 3 cases (

Original languageEnglish
Article number220
JournalRadiation Oncology
Volume10
Issue number1
DOIs
Publication statusPublished - Oct 31 2015

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Keywords

  • Esophageal cancer
  • Knowledge based planning
  • RapidArc
  • RapidPlan

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging

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