Evidence map›Paper›PMID 39689286›Full record

ArticleRadiation research2025

Representative Organ Doses from Computed Tomography (CT) Exams from a Large International Registry.

Philip W Chu, Carly Stewart, Cameron Kofler, Malini Mahendra, Yifei Wang, Cameron A Chu, Choonsik Lee, Wesley E Bolch, Rebecca Smith-Bindman

Abstract read
In one paragraph

Article in Radiation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

9 authors.

Philip W ChuDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Carly StewartDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Cameron KoflerDepartment of Radiology, The University of Chicago, Chicago, Illinois.
Malini MahendraDepartment of Pediatrics, Division of Pediatric Critical Care, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, California.
Yifei WangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Cameron A ChuDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Choonsik LeeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Wesley E BolchDepartment of Biomedical Engineering, University of Florida, Gainesville, Florida.
Rebecca Smith-BindmanDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.

Funding

CT DOSE CollaboratoryR01CA181191 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SMITH-BINDMAN, REBECCA · 2014 to 2019
$6.2M
NCI NIH HHS R01 CA181191
6 · The paper itself

Abstract

Estimation of absorbed organ doses used in computed tomography (CT) using time-intensive Monte Carlo simulations with virtual patient anatomic models is not widely reported in the literature. Using the library of computational phantoms developed by the University of Florida and the National Cancer Institute, we performed Monte Carlo simulations to calculate organ dose values for 9 CT categories representing the most common body regions and indications for imaging (reflecting low, routine, and high radiation dose examinations), stratified by patient age (in children) and effective diameter (in adults, using "diameter" as a measure of patient size). Our sample of 559,202 adult and 103,423 pediatric CT examinations was prospectively assembled between 2015-2020 from 156 imaging facilities from 27 healthcare organizations in 20 U.S. states and 7 countries in the University of California San Francisco International CT Dose Registry. Organ doses varied by body region and exam type. For example, the mean brain dose associated with head CT was 20 mGy [standard deviation (SD) 14] for head low dose, 46 mGy (SD 21) for head routine dose, and 64 mGy (SD 31) for head high dose scan protocols. The mean colon doses associated with abdomen and pelvis CT were 19 mGy (SD 12), 32 mGy (SD 28), and 69 mGy (SD 42) for low, routine, and high dose examinations, respectively. Organ doses in general varied modestly by patient diameter, and for many categories the organ doses among the largest quartile of patients were no more than 10% higher than doses in the smallest quartile. For example, for abdomen and pelvis high dose, the colon dose increased from 67 to 74 mGy from the smallest to the largest patients (10% increase). With few exceptions, pediatric organ doses also varied relatively little by patient age, except for the youngest children who, on average, had higher organ doses. Thyroid dose, however, tended to increase with age in neck or cervical spine and chest CT. Overall, the highest organ doses were to the skin, thyroid, brain, and eye lens. Mean organ doses differ substantially by site. The organ dose values included in this report are derived from empirical clinical exams and offer useful, representative values. Large inter-site variations demonstrate areas for radiation dose reduction.

Indexed as

Radiation DosageRegistriesTomography, X-Ray ComputedAdolescentAdultChildChild, PreschoolFemaleHumansInfantMaleMonte Carlo MethodPhantoms, Imaging

Identifiers

PMID39689286
PMCPMC11801243

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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.