Evidence map›Paper›PMID 41997451›Full record

ArticleInternational journal of radiation oncology, biology, physics2026

Estimation of Detailed Cardiac Doses for Pediatric Radiation Therapy Patients in National Wilms Tumor Study.

Choonsik Lee, Matthew M Mille, Keith T Griffin, Cynthia Rigsby, Andrada Popescu, Mahesh Gopalakrishnan, Wendy Leisenring, Susan Peterson, Jeffrey S Dome, Fran Laurie and 5 more

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Choonsik LeeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland. Electronic address: choonsik.lee@nih.gov.
Matthew M MilleDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Keith T GriffinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Cynthia RigsbyDepartment of Medical Imaging, Ann and Robert Lurie Children's Hospital, Chicago, Illinois.
Andrada PopescuDepartment of Medical Imaging, Ann and Robert Lurie Children's Hospital, Chicago, Illinois.
Mahesh GopalakrishnanDepartment of Radiation Oncology, Northwestern University, Chicago, Illinois.
Wendy LeisenringFred Hutchinson Cancer Research Center, Seattle, Washington.
Susan PetersonFred Hutchinson Cancer Research Center, Seattle, Washington.
Jeffrey S DomeDivision of Oncology, Children's National Hospital, Washington, D.C.
Fran LaurieImaging and Radiation Oncology Core (IROC), Lincoln, Rhode Island.
Thomas J FitzgeraldImaging and Radiation Oncology Core (IROC), Lincoln, Rhode Island.
Soren BentzenUniversity of Maryland School of Medicine, Baltimore, Maryland.
Jae Won JungDepartment of Radiation Oncology, East Carolina University, Greenville, North Carolina.
Choonik LeeDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
John A KalapurakalDepartment of Radiation Oncology, Northwestern University, Chicago, Illinois.

Funding

IROC: Enhancing local enrolling site radiological data capture capabilities for NCTN trialsU24CA180803 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI Thomas J. FitzGerald, MICHAEL V KNOPP · 2014 to 2026
$116.2M
Retrospective NCI Phantom-Monte Carlo Dosimetry for Late Effects in Wilms TumorR01CA219013 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KALAPURAKAL, JOHN ANDREW · 2017 to 2021
$2.8M
Intramural NIH HHS Z99 CA999999NCI NIH HHS R01 CA219013NCI NIH HHS U24 CA180803
6 · The paper itself

Abstract

purposeSubstructure-level heart dosimetry may improve the evaluation of long-term cardiac toxicity in childhood cancer survivors, but detailed pediatric heart models are limited. We developed age-specific heart models (1, 5, 10, and 15 years) using high-resolution imaging and integrated them into computational phantoms to estimate cardiac substructure doses in patients treated according to the National Wilms Tumor Study protocols and evaluate the impact of anatomic detail on radiation therapy dose estimates. METHODS AND MATERIALS: Heart models with detailed substructures, including chambers, myocardium, arteries, valves, and conduction nodes, were developed from pediatric magnetic resonance and adult computed tomography images. These were incorporated into a size-dependent phantom library representing a wide range of pediatric body sizes. Patient-specific radiation therapy plans were reconstructed using the Pinnacle treatment planning system, and heart doses were calculated using both treatment planning system and Monte Carlo (MC) methods.

resultsThe developed heart models closely matched ICRP reference masses (within 2%). Treatment planning system and MC dose calculations showed strong agreement (median difference < 2%), so that MC-based doses were used for further analysis. Among 4,716 National Wilms Tumor Study patients treated with radiation therapy, the median whole heart dose was 4.2 Gy. Cardiac and substructure doses varied by treatment region, with the right atrium and left ventricular myocardium receiving higher doses (≤5.1 and 4.5 Gy), whereas coronary arteries and valves received lower doses (<1 Gy). In non-chest fields, substructure doses differed significantly from whole heart doses (P < .001), reflecting steep intracardiac dose gradients. Chest fields alone resulted in uniformly high cardiac doses with minimal variation.

conclusionOur results demonstrate that relying solely on whole heart dose may obscure clinically relevant exposure to critical substructures. Detailed heart models enable more accurate dosimetry and support improved risk assessment and safer pediatric radiation therapy planning to reduce long-term cardiac toxicity.

Indexed as

HeartKidney NeoplasmsOrgans at RiskWilms TumorAdolescentChildChild, PreschoolFemaleHumansInfantMagnetic Resonance ImagingMaleMonte Carlo MethodPhantoms, ImagingRadiotherapy DosageRadiotherapy Planning, Computer-Assisted

Identifiers

PMID41997451
PMCPMC13250818

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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.