Proof-of-concept for x-ray based real-time image guidance during cardiac radioablation. (24th August 2021)

• Record Type: Journal Article
• Authors: Hindley, Nicholas; Lydiard, Suzanne; Shieh, Chun-Chien; Keall, Paul
• Is Part Of: Physics in medicine & biology. Volume 66:Number 17(2021)
• Publication Date: 2021-08-24
• Subjects: cardiac -- real-time -- guidance -- radioablation; Biophysics -- Periodicals; Medical physics -- Periodicals; 610.153
• DOI: 10.1088/1361-6560/ac1834
• Languages: English
• ISSNs: 0031-9155

Abstract

Abstract: Cardiac radioablation offers non-invasive treatments for refractory arrhythmias. However, treatment delivery for this technique remains challenging. In this paper, we introduce the first method for real-time image guidance during cardiac radioablation for refractory atrial fibrillation on a standard linear accelerator. Our proposed method utilizes direct diaphragm tracking on intrafraction images to estimate the respiratory component of cardiac substructure motion. We compare this method to treatment scenarios without real-time image guidance using the 4D-XCAT digital phantom. Pre-treatment and intrafraction imaging was simulated for 8 phantoms with unique anatomies programmed using cardiorespiratory motion from healthy volunteers. As every voxel in the 4D-XCAT phantom is labelled precisely according to the corresponding anatomical structure, this provided ground-truth for quantitative evaluation. Tracking performance was compared to the ground-truth for simulations with and without real-time image guidance using the left atrium as an exemplar target. Differences in target volume size, mean volumetric coverage, minimum volumetric coverage and geometric error were recorded for each simulation. We observed that differences in target volume size were statistically significant ( p < 0.001) across treatment scenarios and that real-time image guidance enabled reductions in target volume size ranging from 11% to 24%. Differences in mean and minimum volumetric coverage were statistically insignificant (both p = 0.35) while differences in geometric error were statistically significant ( p = 0.039). The results of this study provide proof-of-concept for x-ray based real-time image guidance during cardiac radioablation.