ArticleNeuro-oncology2023
Computed tomography scan radiation and brain cancer incidence.
Article in Neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- Identifying optimal dose head CT acquisition techniques through cluster analysis from 904,209 scans.European radiology · 2026Article
- Patient Shielding in Computed Tomography: Analysis of Influencing Factors and a Conceptual Framework for Decision-Making.Healthcare (Basel, Switzerland) · 2026Review
- Pediatric head injury in the emergency department: balancing radiation risk, missed diagnoses, and decision-rule evolution.International journal of emergency medicine · 2026Review
- GFAP and UCH-L1 for Ruling out Intracranial Lesions After Mild Traumatic Brain Injury: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2026Review
- Trends in Childhood and Adolescent Cancer Incidence Rates in the United States between 2001 and 2022.Cancer discovery · 2026Article
- The Quality Assessment of Virtual Unenhanced and Blending Images Derived from Dual-Energy CT for Detecting Colorectal CancerCurrent medical imaging · 2026Article
- Patient-specific organ dose calculation using automatic segmentation and extension of CT scans.Radiation physics and chemistry (Oxford, England : 1993) · 2025Article
- Structural and Textural Ultrasound Features of Gastrocnemius Medialis in Chronic Stroke: Associations with Functional Outcomes and Spasticity.Journal of clinical medicine · 2025Article
- Critical Review of Hearing Rehabilitation in Pediatric Oncology: Specific Considerations and Barriers.Current oncology (Toronto, Ont.) · 2025Review
- Comparison of radiation-related cancer risks from the atomic bomb survivors with studies of pediatric medical radiation exposure.Carcinogenesis · 2025Article
- Performance of computed tomography and magnetic resonance morphometry in evaluating brain atrophy in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Performance of individual criteria of the Pediatric Emergency Care Applied Research Network (PECARN) intraabdominal injury prediction rule.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025Article
- Untargeted metabolomics for acute intra-abdominal infection diagnosis in serum and urine using UHPLC-TripleTOF MS.Frontiers in molecular biosciences · 2025Article
- Therapeutic ancillary examinations in clinical neurology.Journal of neurology · 2024Article
- A Historical Survey of Key Epidemiological Studies of Ionizing Radiation Exposure.Radiation research · 2024Review
- Article
- Cranial Computer Tomography with Photon Counting and Energy-Integrated Detectors: Objective Comparison in the Same Patients.Diagnostics (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundComputed tomography (CT) scans make substantial contributions to low-dose ionizing radiation exposures, raising concerns about excess cancers caused by diagnostic radiation.
methodsDeidentified medicare records for all Australians aged 0-19 years between 1985-2005 were linked to national death and cancer registrations to 2012. The National Cancer Institute CT program was used to estimate radiation doses to the brain from CT exposures in 1985-2005, Poisson regression was used to model the dependence of brain cancer incidence on brain radiation dose, which lagged by 2 years to minimize reverse causation bias.
resultsOf 10 524 842 young Australians, 611 544 were CT-exposed before the age of 20 years, with a mean cumulative brain dose of 44 milligrays (mGy) at an average follow-up of 13.5 years after the 2-year lag period. 4472 were diagnosed with brain cancer, of whom only 237 had been CT-exposed. Brain cancer incidence increased with radiation dose to the brain, with an excess relative risk of 0.8 (95% CI 0.57-1.06) per 100 mGy. Approximately 6391 (95% CI 5255, 8155) persons would need to be exposed to cause 1 extra brain cancer.
conclusionsFor brain tumors that follow CT exposures in childhood by more than 2 years, we estimate that 40% (95% CI 29%-50%) are attributable to CT Radiation and not due to reverse causation. However, because of relatively low rates of CT exposure in Australia, only 3.7% (95% CI 2.3%-5.4%) of all brain cancers are attributable to CT scans. The population-attributable fraction will be greater in countries with higher rates of pediatric scanning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.