Evidence map›Paper›PMID 40597324›Full record

ArticleBMC medicine2025

Pediatric computed tomography scan and subsequent risk of malignancy: a nationwide population-based cohort study in Korea using National Cancer Institute dosimetry system for computed tomography (NCICT).

Sangsoo Han, Jaewan Soh, Sangun Nah, Kyungdo Han, Jin-Hyung Jung, Jiwon Park, YoonJoong Hwang, Choonsik Lee, Jae-Young Hong

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Sangsoo Han *Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea.
Jaewan Soh *Department of Orthopaedic Surgery, Hanyang University Guri Hospital, Guri, South Korea.
Sangun NahDepartment of Emergency Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea.
Kyungdo HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
Jin-Hyung JungDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
Jiwon ParkDepartment of Orthopedics, Division of Spinal Surgery, College of Medicine, Korea University, 123, Jeokgeum-Ro, Danwon-Gu, Gyeonggi-Do, Ansan-Si, 15355, South Korea.
YoonJoong HwangDepartment of Orthopedics, Division of Spinal Surgery, College of Medicine, Korea University, 123, Jeokgeum-Ro, Danwon-Gu, Gyeonggi-Do, Ansan-Si, 15355, South Korea.
Choonsik LeeRadiation Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville Pike, USA.
Jae-Young HongDepartment of Orthopedics, Division of Spinal Surgery, College of Medicine, Korea University, 123, Jeokgeum-Ro, Danwon-Gu, Gyeonggi-Do, Ansan-Si, 15355, South Korea. osspine@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputed tomography (CT) has advanced medical diagnostics by offering detailed anatomical imaging, but its use in children raises concerns due to higher radiation doses and increased vulnerability. This study enhances prior research by using organ-specific radiation dose calculations for a more precise cancer risk assessment, investigating the associations between pediatric cancers and radiation doses in a large population cohort.

methodsThis nationwide cohort study analyzed National Health Insurance Service claims data from 2007 to 2015 with a focus on individuals < 20 years of age who underwent CT scans. We used the International Classification of Diseases Tenth Revision codes to identify an exposed cohort and excluded subjects with congenital anomalies or previous cancer diagnoses. The study had a 2-year lag period to minimize selection bias and reverse causation effects. We calculated the exposed organ dose for each organ during each CT scan using the national CT dose survey data and the National Cancer Institute for Computed Tomography (NCICT) dose calculator. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for cancer incidence according to organ-specific radiation dose.

resultsFrom 2007 to 2015, 1,540,633 children underwent CT scans, with 1,380,896 being included in the final analysis. A significant dose-response relationship was observed: for every one standard deviation increase in organ-specific radiation dose, the overall cancer risk increased (HR 1.155, 95% CI: 1.139-1.171). Among solid malignancies, associations were observed for urinary cancer (HR 1.385, 95% CI: 1.291-1.486), thyroid cancer (HR 1.248, 95% CI: 1.218-1.278), brain cancer (HR 1.201, 95% CI: 1.177-1.225), and digestive system cancer (HR 1.285, 95% CI: 1.240-1.331). Hematologic malignancies, including leukemia (HR 1.074, 95% CI: 1.053-1.100) and other myeloid tumors (HR 1.087, 95% CI: 1.062-1.112), also showed increased risks.

conclusionsThis study revealed a significant relationship between increased radiation doses during CT and the potential risk of various cancers in pediatric patients. Although CT is an invaluable diagnostic tool for which the risks are not high using the current diagnostic doses, a risk/benefit analysis is appropriate, especially for children.

Indexed as

NeoplasmsNeoplasms, Radiation-InducedTomography, X-Ray ComputedAdolescentChildChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMaleNational Cancer Institute (U.S.)Radiation DosageRepublic of KoreaRisk AssessmentCohort studiesComputed tomographyNeoplasmsPediatrics

Identifiers

PMID40597324
PMCPMC12211530

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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.