ArticleMedical physics2025
Margins to account for cardiac and respiratory motion in cardiac radioablation.
Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The role of abdominal compression in the reduction of respiratory motion for cardiac radioablation.Journal of applied clinical medical physics · 2026Article
- Cardiac device motion tracking from kilovoltage projections during stereotactic arrhythmia radioablation.Physics and imaging in radiation oncology · 2026Article
- Margins to account for cardiac and respiratory motion in cardiac radioablation.Medical physics · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundCardiac radioablation (CR) is an emerging treatment for ventricular tachycardia, a rapid abnormal heart rhythm. Effectively delivering radiation to CR targets requires understanding and accounting for geometric uncertainties. One important uncertainty is motion induced by the cardiac and respiratory cycles, which can be accounted for by expanding the targeted region by a margin accounting for the motion's effect on dosimetry. PURPOSE: To investigate margins to account for cardiac and respiratory motions in CR and compare different methods of computing these margins.
methodsEighty four hundred cardiorespiratory motion traces were created by joining 1050 cardiac motions derived from 30 Hz magnetic resonance images with eight respiratory motions from 5 Hz bi-planar kV fluoroscopy. Cardiac motions for each of the 17 segments of the left ventricle were acquired for 50 heart failure patients with a reduced ejection fraction. Respiratory motions were derived from the implantable cardioverter defibrillator lead's tip for eight CR patients. The margins needed to account for random errors were found using the convolution method by blurring a dose penumbra (Gaussian fall-off
resultsThe sum of cardiac and respiratory motion amplitudes significantly overestimated the motion margins by [2.2±0.7 right-left, 2.6±0.9 ant-post, 2.7±0.7 inf-sup] mm. The margin formula accurately calculated the motion margins with average differences from the convolution method of [0.00±0.06, 0.0±0.1, 0.0±0.1] mm. Accounting for the amplitude of respiratory motion alone was on average sufficient but not robust, as it could underestimate the motion margin by up to 5 mm.
conclusionsMargins to account for cardiorespiratory motion in CR can be calculated using a margin formula. The conservative approach of accounting for the amplitude of cardiorespiratory motion can significantly overestimate the needed margin which may result in excess healthy tissue damage.
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