Evidence map›Paper›PMID 30101560›Full record

ArticlePediatric blood & cancer2018

Feasibility and accuracy of UF/NCI phantoms and Monte Carlo retrospective dosimetry in children treated on National Wilms Tumor Study protocols.

John A Kalapurakal, Mahesh Gopalakrishnan, Matthew Mille, Irene Helenowski, Susan Peterson, Cynthia Rigsby, Fran Laurie, Jae Won Jung, Thomas J Fitzgerald, Choonsik Lee

Abstract read
In one paragraph

Article in Pediatric blood & cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
1 · What the graph read from it

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.

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

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

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

10 authors at 6 institutions in 2 countries.

John A KalapurakalDepartment of Radiation Oncology, Northwestern University, Chicago, Illinois.ORCID 0000-0001-7405-6769
Mahesh GopalakrishnanDepartment of Radiation Oncology, Northwestern University, Chicago, Illinois.
Matthew MilleDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, Maryland.
Irene HelenowskiNorthwestern University, Chicago, Illinois.
Susan PetersonFred Hutchinson Cancer Center, Seattle, Washington.
Cynthia RigsbyDepartment of Medical Imaging, Ann and Robert Lurie Children's Hospital, Chicago, Illinois.
Fran LaurieQuality Assurance Review Center, Lincoln, Rhode Island.
Jae Won JungDepartment of Physics, East Carolina University, Greenville, North Carolina.
Thomas J FitzgeraldQuality Assurance Review Center, Lincoln, Rhode Island.
Choonsik LeeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, Maryland.
Northwestern University · USHealth Insurance Review and Assessment Service · KRNational Cancer Institute · USEast Carolina University · USFred Hutch Cancer Center · USLurie Children's Hospital · US

Funding

Studies of Populations Exposed to Therapeutic Medical Radiation and Other AgentsZIACP010131 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MORTON, LINDSAY · 2009 to 2025
$81.0M
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
Foundation for the National Institutes of Health R01CA159547Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA CP010131NCI NIH HHS R01 CA219013
6 · The paper itself

Abstract

purposeThis pilot study was done to determine the feasibility and accuracy of University of Florida/National Cancer Institute (UF/NCI) phantoms and Monte Carlo (MC) retrospective dosimetry and had two aims: (1) to determine the anatomic accuracy of UF/NCI phantoms by comparing 3D organ doses in National Wilms Tumor Study (NWTS) patient-matched UF/NCI phantoms to organ doses in corresponding patient-matched CT scans and (2) to compare infield and out-of-field organ dosimetry using two dosimetry methods-standard radiation therapy (RT) treatment planning systems (TPS) and MC dosimetry in these two anatomic models.

methodsTwenty NWTS patient-matched Digital Imaging and Communications in Medicine (DICOM) files of UF/NCI phantoms and CT scans were imported into the Pinnacle RT TPS. The NWTS RT fields (whole abdomen, flank, whole lung, or a combination) and RT doses (10-45 Gy) were reconstructed in both models. Both TPS and MC dose calculations were performed. For aim 1, the mean doses to the heart, kidney, thyroid gland, testes, and ovaries using TPS and MC in both models were statistically compared. For aim 2, the TPS and MC dosimetry for these organs in both models were statistically compared.

resultsFor aim 1, there was no significant difference between phantom and CT scan dosimetry for any of the organs using either TPS or MC dosimetry. For aim 2, there was a significant difference between TPS and MC dosimetry for both CT scan and phantoms for all organs. Although the doses for infield organs were similar for both TPS and MC, the doses for near-field and out-of-field organs were consistently higher for 90% to 100% of MC doses; however, the absolute dose difference was small (<1 Gy).

conclusionsThis pilot study has demonstrated that the patient-matched UF/NCI phantoms together with MC dosimetry is an accurate model for performing retrospective 3D dosimetry in large-scale epidemiology studies such as the NWTS.

Indexed as

Phantoms, ImagingChildChild, PreschoolFeasibility StudiesFemaleHumansInfantKidney NeoplasmsMaleMonte Carlo MethodOrgans at RiskPilot ProjectsRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputeddosimetryepidemiologyMonte Carlo dosimetryphantom modelradiation

Identifiers

PMID30101560
PMCPMC6561477
OpenAlexW2887008518

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.