BPG is committed to discovery and dissemination of knowledge
Minireviews
Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Radiol. Aug 28, 2026; 18(8): 124887
Published online Aug 28, 2026. doi: 10.4329/wjr.124887
Size-specific dose estimation in pediatric computed tomography: From dose characterization to individualized optimization
Tiao Chen
Tiao Chen, Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430079, Hubei Province, China
Author contributions: Tiao C conceived and designed the review, performed the literature search and screening, interpreted the relevant evidence, drafted the manuscript, revised the manuscript critically for important intellectual content, and approved the final version for submission, and agrees to be accountable for all aspects of the work.
AI contribution statement: Portions of this manuscript were edited using AI tools (ChatGPT) solely for language refinement. The authors carefully reviewed and verified all AI-assisted outputs and take full responsibility for the scientific content of the manuscript.
Conflict-of-interest statement: The author declares no conflict of interest.
Corresponding author: Tiao Chen, MD, Associate Chief Physician, Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 116 Zhuodaoquan Road, Hongshan District, Wuhan 430079, Hubei Province, China. 15071051402@163.com
Received: June 26, 2026
Revised: July 17, 2026
Accepted: August 17, 2026
Published online: August 28, 2026
Processing time: 63 Days and 4.2 Hours
Abstract

Pediatric computed tomography (CT) is clinically indispensable for emergency care, neurologic disorders, thoracoabdominal diseases, trauma assessment, and oncologic diagnosis and follow-up. However, children should not be regarded as small adults. They are actively growing and developing, and organs or tissues such as the hematopoietic system, thyroid, breast, gonads, lens, central nervous system, and bone marrow are more sensitive to ionizing radiation. In addition, children have a longer life expectancy, allowing a longer latency window for radiation-related late effects. Epidemiological studies suggest associations between pediatric CT exposure and cumulative-dose-related risks of leukemia, brain tumors, and overall cancer; although the individual absolute risk is generally low, stricter justification, optimization, and dose recording remain necessary in pediatric populations. Conventional volume CT dose index (CTDIvol) and dose-length product primarily describe scanner output under standard phantom conditions and cannot adequately characterize differences in patient body size, tissue attenuation, organ location, and scan coverage. Size-specific dose estimate (SSDE), which corrects CTDIvol using a patient-size conversion factor, represents an important intermediate dose descriptor linking scanner output, pediatric body-size characteristics, organ-dose estimation, and scan-protocol optimization. This review focuses on the specific requirements of pediatric CT dose assessment. It summarizes the conceptual evolution of SSDE, the selection of size metrics, applications across examination sites, relationships with organ dose and radiation-risk assessment, pediatric diagnostic reference levels, and future directions in automated dose management. The aim is to provide a conceptual and practical basis for individualized pediatric CT dose optimization.

Keywords: Children; Computed tomography; Size-specific dose estimate; Water-equivalent diameter; Organ dose; Diagnostic reference level; Dose optimization

Core Tip: Pediatric computed tomography (CT) dose assessment should move beyond scanner-output indices toward patient-size-adapted optimization. This review highlights size-specific dose estimate (SSDE) as a practical bridging metric linking volume CT dose index correction, pediatric body-size variation, water-equivalent diameter, head-specific dose estimation, organ-dose approximation, diagnostic reference levels, and task-based image-quality optimization. By integrating SSDE with automated size extraction, organ-dose modeling, and clinical indication-specific protocols, pediatric CT dose management can shift from simple dose recording to individualized, quality-constrained optimization.

Write to the Help Desk