Decoupling the dosimetric impact of setup errors and anatomical deformations in image-guided radiotherapy using diagnostic-quality FBCT and glmmLasso regularization.

Abstract

Abstract
Objective: Traditional radiotherapy dosimetric analyses are often limited by cone-beam CT artifacts and correlated longitudinal data mismanagement. This study uses artifact-free fan-beam CT (FBCT) and a generalized linear mixed Lasso (glmmLasso) model to decouple interfraction setup errors and anatomical deformations within a simulated image-guided radiotherapy workflow, providing quantitative support for future site-specific ART research. 
Approach: We retrospectively analyzed 84 patients (head and neck [H&N], thorax, pelvis; n=28 each). Weekly diagnostic-quality FBCTs served as ground truth. To isolate error sources, we recalculated 1,260 dose distributions under three scenarios: isolated setup errors, isolated deformations, and combined effects. A glmmLasso model, using patient-specific random intercepts and L1 penalization, identified the primary geometric drivers of dosimetric variation.
Main results: H&N exhibited minimal setup deviations ( 0.73) rather than interfraction deformations. Thoracic setup uncertainties (mean ≈ 4.0 mm) reduced minimum target dose up to 50% for displacements ≥ 5 mm, but overall variance was primarily governed by non-rigid deformations (marginal R² = 0.423). Pelvic anatomy demonstrated pronounced variability due to bladder filling (DSC: 0.2-0.9), and the coupled scenario further amplified relative deviations in bladder and femoral-head dose metrics.
Significance: Utilizing FBCT and high-dimensional feature selection, we decoupled site-specific drivers of dosimetric variation. Quantifying these coupled effects establishes a robust, validated foundation for tailored potential factors to inform ART decision-making.&#xD.