ArticleInternational journal of radiation oncology, biology, physics2019
Cardiac Substructure Segmentation and Dosimetry Using a Novel Hybrid Magnetic Resonance and Computed Tomography Cardiac Atlas.
Article in International journal of radiation oncology, biology, physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02496260 (Biomarkers and Cardiac MRI as Early Indicators of Cardiac Exposure), which is not on this map. Cited by 22 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Biomarkers and Cardiac MRI as Early Indicators of Cardiac Exposure
Who cites it
22 citing papers in PubMed.
- A neighborhood attention transformer network for enhanced 3D segmentation of the left anterior descending artery.Medical physics · 2026Article
- Cardiac substructure delineation in radiation therapy - A state-of-the-art review.Journal of medical imaging and radiation oncology · 2024Review
- The influence of cardiac substructure dose on survival in a large lung cancer stereotactic radiotherapy cohort using a robust personalized contour analysis.Physics and imaging in radiation oncology · 2024Article
- How to contour the different heart subregions for future deep-learning modeling of the heart: A practical pictorial proposal for radiation oncologists.Clinical and translational radiation oncology · 2024Article
- Cardiac segments dosimetric benefit from deep inspiration breath hold technique for left-sided breast cancer radiotherapy.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024Article
- Applications and implementation of generative artificial intelligence in cardiovascular imaging with a focus on ethical and legal considerations: what cardiovascular imagers need to know!BJR artificial intelligence · 2024Review
- Development of a comprehensive cardiac atlas on a 1.5 Tesla Magnetic Resonance Linear Accelerator.Physics and imaging in radiation oncology · 2023Article
- ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy.Cancers · 2023Article
- Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans.Physics and imaging in radiation oncology · 2022Article
- Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a feasibility study.Radiation oncology (London, England) · 2022Article
- Enhanced cardiac substructure sparing through knowledge-based treatment planning for non-small cell lung cancer radiotherapy.Frontiers in oncology · 2022Article
- Heart atlas for retrospective cardiac dosimetry: a multi-institutional study on interobserver contouring variations and their dosimetric impact.Radiation oncology (London, England) · 2021Article
- Application of an automatic segmentation method for evaluating cardiac structure doses received by breast radiotherapy patients.Physics and imaging in radiation oncology · 2021Article
- A novel specific grading standard study of auto-segmentation of organs at risk in thorax: subjective-objective-combined grading standard.Biomedical engineering online · 2021Article
- Automatic delineation of cardiac substructures using a region-based fully convolutional network.Medical physics · 2021Article
- Quantifying inter-fraction cardiac substructure displacement during radiotherapy via magnetic resonance imaging guidance.Physics and imaging in radiation oncology · 2021Article
- Incorporating sensitive cardiac substructure sparing into radiation therapy planning.Journal of applied clinical medical physics · 2020Article
- Breast size and dose to cardiac substructures in adjuvant three-dimensional conformal radiotherapy compared to tangential intensity modulated radiotherapy.Radiology and oncology · 2020Article
- Review
- Cardiac substructure segmentation with deep learning for improved cardiac sparing.Medical physics · 2020Article
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Authors and funding
6 authors.
Funding
Abstract
purposeRadiation dose to the heart and cardiac substructures has been linked to cardiotoxicities. Because cardiac substructures are poorly visualized on treatment-planning computed tomography (CT) scans, we used the superior soft-tissue contrast of magnetic resonance (MR) imaging to optimize a hybrid MR/CT atlas for substructure dose assessment using CT. METHODS AND MATERIALS: Thirty-one patients with left-sided breast cancer underwent a T2-weighted MR imaging scan and noncontrast simulation CT scans. A radiation oncologist delineated 13 substructures (chambers, great vessels, coronary arteries, etc) using MR/CT information via cardiac-confined rigid registration. Ground-truth contours for 20 patients were inputted into an intensity-based deformable registration atlas and applied to 11 validation patients. Automatic segmentations involved using majority vote and Simultaneous Truth and Performance Level Estimation (STAPLE) strategies with 1 to 15 atlas matches. Performance was evaluated via Dice similarity coefficient (DSC), mean distance to agreement, and centroid displacement. Three physicians evaluated segmentation performance via consensus scoring by using a 5-point scale. Dosimetric assessment included measurements of mean heart dose, left ventricular volume receiving 5 Gy, and left anterior descending artery mean and maximum doses.
resultsAtlas approaches performed similarly well, with 7 of 13 substructures (heart, chambers, ascending aorta, and pulmonary artery) having DSC >0.75 when averaged over 11 validation patients. Coronary artery segmentations were not successful with the atlas-based approach (mean DSC <0.3). The STAPLE method with 10 matches yielded the highest DSC and the lowest mean distance to agreement for all high-performing substructures (omitting coronary arteries). For the STAPLE method with 10 matches, >50% of all validation contours had centroid displacements <3.0 mm, with the largest shifts in the coronary arteries. Atlas-generated contours had no statistical difference from ground truth for left anterior descending artery maximum dose, mean heart dose, and left ventricular volume receiving 5 Gy (P > .05). Qualitative contour grading showed that 8 substructures required minor modifications.
conclusionsThe hybrid MR/CT atlas provided reliable segmentations of chambers, heart, and great vessels for patients undergoing noncontrast CT, suggesting potential widespread applicability for routine treatment planning.
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