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REVIEW article

Front. Public Health

Sec. Radiation and Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1626906

This article is part of the Research TopicAdvances in Radiation Research and Applications: Biology, Environment and MedicineView all 14 articles

Radiation Exposure in Recurrent Medical Imaging: Identifying Drivers and High-risk Populations

Provisionally accepted
Juan  ChenJuan Chen1,2*Jianjun  ZhengJianjun Zheng1*Qun  ZhangQun Zhang3Jingfeng  ZhangJingfeng Zhang1Qi  DaiQi Dai1Dandan  ZhangDandan Zhang3
  • 1Ningbo No.2 hospital, Ningbo, China
  • 2Hangzhou Medical College, hangzhou, China
  • 3Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China

The final, formatted version of the article will be published soon.

Medical imaging modalities constitute indispensable diagnostic and therapeutic decision-making tools in contemporary clinical practice. These modalities are pivotal in disease detection, longitudinal monitoring, and treatment response assessment. However, the progressive accumulation of radiation exposure from recurrent imaging procedures has sparked significant clinical concerns regarding potential carcinogenic and non-carcinogenic health implications. This review analyzes the driving factors of recurrent medical imaging examinations, identifies high-risk populations, and evaluates the potential health risks associated with cumulative radiation exposure, aiming to optimize imaging techniques and dose management strategies. By integrating global radiation exposure data (e.g., UNSCEAR reports) and multicenter clinical research evidence combined with a literature review and dosimetry models, the study reveals the high-risk nature of emergency department patients, chronic disease patients, children, and female populations in recurrent imaging. Clinical needs, demographic characteristics, technological misuse, and uneven healthcare resource allocation are identified as key drivers of recurrent imaging. This review further highlights that short-term, highfrequency imaging accelerates cumulative radiation dose accumulation, potentially elevating long-term health risks, while long-term, low-dose exposure is associated with cardiovascular diseases and malignancies. Based on the linear no-threshold (LNT) model and evidence of DNA repair mechanisms, the study proposes individualized risk assessment to optimize imaging intervals and dose modulation techniques to balance diagnostic efficacy and radiation safety. The policy implications of this research include advocating for enhanced radiation safety education and targeted management strategies for high-risk populations and providing empirical support for updating international radiation protection guidelines, thereby facilitating the clinical implementation of the "As Low As Reasonably Achievable" (ALARA) principle.The increasing trend in global radiological examinations has led to a significant increase in cumulative radiation exposure risks, particularly as the proportion of patients undergoing repeated imaging procedures continues to rise.Clinical needs (e.g., diagnostic uncertainty), demographic factors (e.g., aging populations), technological advancements (e.g., faster CT scans), and systemic inefficiencies (e.g., suboptimal image quality) are identified as key drivers of repeated imaging. Dose modulation techniques, individualized risk stratification, and enhanced radiation safety education are recommended to balance diagnostic efficacy with patient safety, aligning with the ALARA (As Low As Reasonably Achievable) principle and supporting updates to international radiation protection guidelines.

Keywords: Recurrent Imaging, Radiation exposure, Cumulative radiation exposure, Dose optimization, Radiation Protection

Received: 12 May 2025; Accepted: 30 Jun 2025.

Copyright: © 2025 Chen, Zheng, Zhang, Zhang, Dai and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Juan Chen, Ningbo No.2 hospital, Ningbo, China
Jianjun Zheng, Ningbo No.2 hospital, Ningbo, China

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