ArticleFrontiers in oncology2022
Enhanced cardiac substructure sparing through knowledge-based treatment planning for non-small cell lung cancer radiotherapy.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Imaging-based detection and prediction of radiation-induced cardiac toxicity: a narrative review.BJR open · 2026Review
- GSK-3 inhibitor induces apoptosis and cell cycle arrest in CD133Molecular biology reports · 2025Article
- Integrating knowledge-based planning and noncoplanar oblique VMAT arcs: A study of dose to the heart and immune cells in thoracic radiotherapy.Technical innovations & patient support in radiation oncology · 2025Article
- Cardiac substructure delineation in radiation therapy - A state-of-the-art review.Journal of medical imaging and radiation oncology · 2024Review
- Moving beyond mean heart dose: The importance of cardiac substructures in radiation therapy toxicity.Journal of medical imaging and radiation oncology · 2024Review
- Dosimetric comparison between laterality-specific and general knowledge-based planning models for nonsmall cell lung cancer.Medical dosimetry : official journal of the American Association of Medical DosimetristsArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiotherapy (RT) doses to cardiac substructures from the definitive treatment of locally advanced non-small cell lung cancers (NSCLC) have been linked to post-RT cardiac toxicities. With modern treatment delivery techniques, it is possible to focus radiation doses to the planning target volume while reducing cardiac substructure doses. However, it is often challenging to design such treatment plans due to complex tradeoffs involving numerous cardiac substructures. Here, we built a cardiac-substructure-based knowledge-based planning (CS-KBP) model and retrospectively evaluated its performance against a cardiac-based KBP (C-KBP) model and manually optimized patient treatment plans. CS-KBP/C-KBP models were built with 27 previously-treated plans that preferentially spare the heart. While the C-KBP training plans were created with whole heart structures, the CS-KBP model training plans each have 15 cardiac substructures (coronary arteries, valves, great vessels, and chambers of the heart). CS-KBP training plans reflect cardiac-substructure sparing preferences. We evaluated both models on 28 additional patients. Three sets of treatment plans were compared: (1) manually optimized, (2) C-KBP model-generated, and (3) CS-KBP model-generated. Plans were normalized to receive the prescribed dose to at least 95% of the PTV. A two-tailed paired-sample
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