Oncogenic Risk Related to Ionizing Radiation and Environmental Impact in Radiology

A special issue of Tomography (ISSN 2379-139X).

Deadline for manuscript submissions: 31 March 2026 | Viewed by 265

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Department of Radiology, University of Padova, 35100 Padova, Italy
Interests: liver; bowel; chest
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Special Issue Information

Dear Colleagues,

A comprehensive assessment of the oncogenic risks from radiological diagnostic procedures is mandatory considering the progressively increasing exposure to radiation for clinical reasons worldwide, particularly due to computed tomography (CT), which has raised concerns about the risk of radiation-induced cancer even at low levels of exposure. Despite great efforts in developing new radiation-induced cancer risk models, the real relationship between radiation dose and cancer risk is still unknown. Additionally, the impact of radiology activity on the climate is a matter of concern since radiology departments account for about 9% of the carbon emissions in medicine.

Prof. Dr. Emilio Quaia
Guest Editor

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Keywords

  • radiation
  • oncogenic risks
  • exposure
  • energy consumption
  • climate

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Published Papers (1 paper)

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Research

14 pages, 2889 KiB  
Article
Variability Between Radiation-Induced Cancer Risk Models in Estimating Oncogenic Risk in Intensive Care Unit Patients
by Emilio Quaia, Chiara Zanon, Riccardo Torchio, Fabrizio Dughiero, Francesca De Monte and Marta Paiusco
Tomography 2025, 11(4), 42; https://doi.org/10.3390/tomography11040042 - 3 Apr 2025
Viewed by 220
Abstract
Purpose: To evaluate the variability of oncogenic risk related to radiation exposure in patients frequently exposed to ionizing radiation for diagnostic purposes, specifically ICU patients, according to different risk models, including the BEIR VII, ICRP 103, and US EPA models. Methods: This was [...] Read more.
Purpose: To evaluate the variability of oncogenic risk related to radiation exposure in patients frequently exposed to ionizing radiation for diagnostic purposes, specifically ICU patients, according to different risk models, including the BEIR VII, ICRP 103, and US EPA models. Methods: This was an IRB-approved observational retrospective study. A total of 71 patients (58 male, 13 female; median age, 66 years; interquartile range [IQR], 65–71 years) admitted to the ICU who underwent X-ray examinations between 1 October 2021 and 28 February 2023 were included. For each patient, the cumulative effective dose during a single hospital admission was calculated. Lifetime attributable risk (LAR) was estimated based on the BEIR VII, ICRP 103, and US EPA risk models to calculate additional oncogenic risk related to radiation exposure. The Friedman test for repeated-measures analysis of variance was used to compare risk values between different models. The intraclass correlation coefficient (ICC) was used to assess the consistency of risk values between different models. Results: Different organ, leukemia, and all-cancer risk values estimated according to different oncogenic risk models were significantly different, but the intraclass correlation coefficient revealed a good (>0.75) or even excellent (>0.9) agreement between different risk models. The ICRP 103 model estimated a lower all-cancer (median 69.05 [IQR 30.35–195.37]) and leukemia risk (8.22 [3.02–27.93]) compared to the US EPA (all-cancer: 139.68 [50.51–416.16]; leukemia: 23.34 [3.47–64.37]) and BEIR VII (all-cancer: 162.08 [70.6–371.40]; leukemia: 24.66 [12.9–58.8]) models. Conclusions: Cancer risk values were significantly different between risk models, though inter-model agreement in the consistency of risk values was found to be good, or even excellent. Full article
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