Evidence map›Paper›PMID 40227719›Full record

Observational studyJAMA internal medicine2025

Projected Lifetime Cancer Risks From Current Computed Tomography Imaging.

Rebecca Smith-Bindman, Philip W Chu, Hana Azman Firdaus, Carly Stewart, Matthew Malekhedayat, Susan Alber, Wesley E Bolch, Malini Mahendra, Amy Berrington de González, Diana L Miglioretti

Erratum issuedAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in JAMA internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 167 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 5 pooled it
–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

167 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Pooled it
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  14. Impact of Low-Dose X-Ray Radiation Exposure on Lung Cancer Progression.International journal of molecular sciences · 2026
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107 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Rebecca Smith-BindmanDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Philip W ChuDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Hana Azman FirdausDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Carly StewartDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Matthew MalekhedayatDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Susan AlberDepartment of Public Health Sciences, University of California, Davis.
Wesley E BolchJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville.
Malini MahendraPhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco.
Amy Berrington de GonzálezDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.
Diana L MigliorettiDepartment of Public Health Sciences, University of California, Davis.

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

Importance: Approximately 93 million computed tomography (CT) examinations are performed on 62 million patients annually in the United States, and ionizing radiation from CT is a known carcinogen. Objective: To project the number of future lifetime cancers in the US population associated with CT imaging in 2023. Design, Setting, and Participants: This risk model used a multicenter sample of CT examinations prospectively assembled between January 2018 and December 2020 from the University of California San Francisco International CT Dose Registry. Data analysis was conducted from October 2023 to October 2024. Main Outcomes and Measures: Distributions of CT examinations and associated organ-specific radiation doses were estimated by patient age, sex, and CT category and scaled to the US population based on the number of examinations in 2023, quantified by the IMV national survey. Lifetime radiation-induced cancer incidence and 90% uncertainty limits (UL) were estimated by age, sex, and CT category using National Cancer Institute software based on the National Research Council's Biological Effects of Ionizing Radiation VII models and projected to the US population using scaled examination counts. Results: An estimated 61 510 000 patients underwent 93 000 000 CT examinations in 2023, including 2 570 000 (4.2%) children, 58 940 000 (95.8%) adults, 32 600 000 (53.0%) female patients, and 28 910 000 (47.0%) male patients. Approximately 103 000 (90% UL, 96 400-109 500) radiation-induced cancers were projected to result from these examinations. Estimated radiation-induced cancer risks were higher in children and adolescents, yet higher CT utilization in adults accounted for most (93 000; 90% UL, 86 900-99 600 [91%]) radiation-induced cancers. The most common cancers were lung cancer (22 400 cases; 90% UL, 20 200-25 000 cases), colon cancer (8700 cases; 90% UL, 7800-9700 cases), leukemia (7900 cases; 90% UL, 6700-9500 cases), and bladder cancer (7100 cases, 90% UL, 6000-8500 cases) overall, while in female patients, breast was second most common (5700 cases; 90% UL, 5000-6500 cases). The largest number of cancers was projected to result from abdomen and pelvis CT in adults, reflecting 37 500 of 103 000 cancers (37%) and 30 million of 93 million CT examinations (32%), followed by chest CT (21 500 cancers [21%]; 20 million examinations [21%]). Estimates remained large over a variety of sensitivity analyses, which resulted in a range of 80 000 to 127 000 projected cancers across analyses. Conclusions and Relevance: This study found that at current utilization and radiation dose levels, CT examinations in 2023 were projected to result in approximately 103 000 future cancers over the course of the lifetime of exposed patients. If current practices persist, CT-associated cancer could eventually account for 5% of all new cancer diagnoses annually.

Indexed as

Neoplasms, Radiation-InducedTomography, X-Ray ComputedAdolescentAdultAgedChildChild, PreschoolFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRadiation DosageRisk AssessmentUnited States

Identifiers

PMID40227719
PMCPMC11997853

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.