Microstructural modelling based on diffusion weighted imaging to guide dose painting in carbon ions for large sacral chordomas

基于扩散加权成像的微观结构建模指导碳离子剂量绘制治疗大型骶骨脊索瘤

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Abstract

BACKGROUND AND PURPOSE: Dose Painting (DP) in radiotherapy is a strategy to account for the tumor microstructural heterogeneity. This study evaluated a DP approach in carbon ion radiotherapy (CIRT), using cell count estimates derived from diffusion-weighted magnetic resonance imaging (DWI). MATERIALS AND METHODS: Thirty-seven large sacral chordoma (SC) patients were analysed. Voxel-wise cell count was estimated from DWI using a published microstructural model. A Poisson-based tumor control probability (TCP) model, fitted on 27 patients, guided DP optimization in a research version of RayStation 2024A. The approach was tested on 10 patients, comparing uniform-dose plans against two strategies: dose redistribution (DR), which maintained the mean gross tumor volume (GTV) dose, and dose escalation (DE), which allowed a 3 % increase. Plan evaluation on targets and organs at risk (OARs) included dose-volume histogram metrics (D(95%), D(50%), D(1%)) and dose-averaged linear energy transfer (LET(d))-volume histogram metrics (L(98%), L(50%), L(1%)) to assess clinical acceptability. TCP gain quantified the benefit of biologically targeted strategies. TCP uncertainty was evaluated by propagating the microstructural model's errors to generate best- and worst-case cell count maps. RESULTS: DE and DR plans met clinical acceptability criteria. DE increased TCP from 75.5 ± 5.6 % to 83.3 ± 3.9 % (p < 0.001), with -3 to +5 percentage points variation under uncertainty. DR plans showed a TCP gain of 1.8 ± 1.0 percentage points. No significant dose or LET(d) increase was observed in OARs, while DE plans showed a lower L(98%) in GTV. CONCLUSIONS: Dose painting based on microstructural modelling in CIRT showed potential to improve TCP while sparing OARs.

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