Geometry-based framework for beam angle selection in proton therapy for lung cancer

基于几何的质子治疗肺癌束角选择框架

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Abstract

BACKGROUND AND PURPOSE: Proton therapy is a promising modality for treating locally advanced non-small cell lung cancer (LA-NSCLC). However, respiratory-induced intra-fractional motion can compromise tumour coverage. This work aimed to develop a method to identify proton beam angles that balance tumour coverage and organ-at-risk (OAR) sparing. MATERIALS AND METHODS: An open-source dataset of eleven LA-NSCLC patients with four-dimensional CT (4DCT) scans was analysed. For each gantry-couch angle, the water equivalent path length variation (ΔWEPL) and percentage irradiated volume (PIV) were calculated using in-house code to serve as metrics for tumour motion sensitivity and geometric OAR exposure. A unified risk map was constructed based on ΔWEPL and PIV, with patient-specific weighting factors and constraints to enable individualised beam selection. Subsequent single-beam treatment plans were generated on the average intensity projection CT, with the dose distribution recalculated on all breathing phases to derive ΔD(95%) (variability in target D(95%)). Pearson's correlation tested associations between ΔWEPL and ΔD(95%) and between PIV and OAR dose. RESULTS: ΔWEPL correlated with target dose degradation (median r = 0.90 for ΔD(95%)), while PIV correlated with OAR doses (r = 0.88-0.98 across heart, lungs, and spinal cord). Risk maps identified beam angles minimising motion sensitivity while respecting OAR constraints. A three-beam patient example illustrated that clinically acceptable tumour coverage was maintained while substantially reducing lung and heart dose compared to suboptimal beam orientations. CONCLUSIONS: Patient-specific proton beam angle selection by combining ΔWEPL and PIV into a unified risk map offers a clinically relevant strategy to improve robustness and OAR sparing for LA-NSCLC.

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