ArticlePhysics and imaging in radiation oncology2020
Dose surface maps of the heart can identify regions associated with worse survival for lung cancer patients treated with radiotherapy.
Article in Physics and imaging in radiation oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Voxel-Based Dose-Toxicity Modeling for Predicting Post-Radiotherapy Toxicity: A Critical Perspective.Journal of clinical medicine · 2025Article
- Cardiotoxicity following thoracic radiotherapy for lung cancer.British journal of cancer · 2025Review
- Correction: Cardiotoxicity following thoracic radiotherapy for lung cancer.British journal of cancer · 2025Article
- Cardiac Conduction System as an OAR in Radiation Therapy: Doses to SA/AV Nodes and Their Reduction.International journal of particle therapy · 2024Article
- Selective sparing of bladder and rectum sub-regions in radiotherapy of prostate cancer combining knowledge-based automatic planning and multicriteria optimization.Physics and imaging in radiation oncology · 2023Article
- Association of cardiac calcium burden with overall survival after radiotherapy for non-small cell lung cancer.Physics and imaging in radiation oncology · 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
- Image-based data mining applies to data collected from children.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2022Article
- Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2022Article
- Role of Real-World Data in Assessing Cardiac Toxicity After Lung Cancer Radiotherapy.Frontiers in oncology · 2022Review
- Dosimetric impact from cardiac motion to heart substructures in thoracic cancer patients treated with a magnetic resonance guided radiotherapy system.Physics and imaging in radiation oncology · 2021Article
- Towards spatial representations of dose distributions to predict risk of normal tissue morbidity after radiotherapy.Physics and imaging in radiation oncology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeFor lung cancer patients treated with radiotherapy, radiation dose to the heart has been associated with overall survival, with volumetric dose statistics widely presented. However, critical cardiac structures are present on the hearts surface, where this approach may be sub-optimal. In this work we present a methodology for creating cardiac surface dose maps and identify regions where excess dose is associated with in worse overall survival. MATERIAL AND
methodsA modified cylindrical coordinate system was implemented to map the cardiac surface dose for lung cancer patients. Validation was performed by mapping the cardiac chambers for 55 patients, fitting a point spread function (PSF) to the blurred edge. To account for this uncertainty, dose maps were blurred by a 2D-Gaussian with width described by the PSF. Permutation testing identified regions where excess dose was associated with worse patient survival. The 99th percentile of the max t-value then defined a cardiac surface region to extract dose, from each patient, to be analysed in a multivariable cox-proportional hazards survival model.
resultsCardiac surface maps were created for 648 lung cancer patients. Cardiac surface dose maps were blurred with a 2D- Gaussian filter of size σ
conclusionsCardiac surface mapping was successfully implemented and identified a region where excess dose was associated with worse patient survival. This region extended over the right atria, potentially suggesting an interaction with the hearts electrical conduction system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.