Knowledge-based intensity-modulated proton planning for gastroesophageal carcinoma

Celik, Eren, Baues, Christian, Claus, Karina, Fogliata, Antonella, Scorsetti, Marta, Marnitz, Simone and Cozzi, Luca . Knowledge-based intensity-modulated proton planning for gastroesophageal carcinoma. Acta Oncol.. ABINGDON: TAYLOR & FRANCIS LTD. ISSN 1651-226X

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DOI:10.1080/0284186X.2020.1845396

Abstract

Purpose To investigate the performance of a narrow-scope knowledge-based RapidPlan (RP) model, for optimisation of intensity-modulated proton therapy (IMPT) plans applied to patients with locally advanced carcinoma in the gastroesophageal junction. Methods A cohort of 60 patients was retrospectively selected; 45 were used to 'train' a dose-volume histogram predictive model; the remaining 15 provided independent validation. The performance of the RP model was benchmarked against manual optimisation. Quantitative assessment was based on several dose-volume metrics. Results Manual and RP-optimised IMPT plans resulted dosimetrically similar, and the planning dose-volume objectives were met for all structures. Concerning the validation set, the comparison of the manual vs RP-based plans, respectively, showed for the target (PTV): the homogeneity index was 6.3 +/- 2.2 vs 5.9 +/- 1.2, and V98% was 89.3 +/- 2.9 vs 91.4 +/- 2.2% (this was 97.2 +/- 1.9 vs 98.8 +/- 1.1 for the CTV). Regarding the organs at risk, no significant differences were reported for the combined lungs, the whole heart, the left anterior descending artery, the kidneys, the spleen and the spinal canal. The D-0.1 cm3 for the left ventricle resulted in 40.3 +/- 3.4 vs 39.7 +/- 4.3 Gy(RBE). The mean dose to the liver was 3.4 +/- 1.3 vs 3.6 +/- 1.5 Gy(RBE). Conclusion A narrow-scope knowledge-based RP model was trained and validated for IMPT delivery in locally advanced cancer of the gastroesophageal junction. The results demonstrate that RP can create models for effective IMPT. Furthermore, the equivalence between manual interactive and unattended RP-based optimisation could be displayed. The data also showed a high correlation between predicted and achieved doses in support of the valuable predictive power of the RP method.

Item Type:

Journal Article

Creators:

Creators	Email	ORCID	ORCID Put Code
Celik, Eren	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Baues, Christian	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Claus, Karina	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Fogliata, Antonella	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Scorsetti, Marta	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Marnitz, Simone	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Cozzi, Luca	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED