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Article History

Received: 29 September 2022

Revised: 22 June 2023

Accepted: 30 June 2023

First Online: 21 September 2023

Declarations

:

: The scientific guarantor of this publication is Dr. Rebecca Smith-Bindman.

: Dr. Smith-Bindman is a co-founder of Alara Imaging, Inc., a company focused on improving the clinical and operational aspects of health systems including collecting and reporting radiation dose and image quality information associated with CT as part of payer-led quality programs. Alara Imaging played no role in any aspect of the paper, and the work does not overlap with Alara’s commercial activities. Dr. Smith Bindman has never received funding from Alara.

: Four biostatisticians included as coauthors on the manuscript contribute to the design and statistical analysis of the study including Dr. Kang, Mr. Chu, Dr. Wang, and Dr. Chung.

: Written informed consent was not required for this study because the UCSF Committee on Human Research approved this study with a waiver of individual informed consent. Collaborating institutions obtained local Institutional Review Board approval or relied on the UCSF approval to contribute data to the registry and also waived the need for written informed consent.

: The UCSF Committee on Human Research approved this study. Collaborating institutions obtained local Institutional Review Board approval or relied on the UCSF approval to contribute data to the registry.

: The data derive from The UCSF International CT dose registry, and some of the patients described in this report may have also been included in prior publications including the following referenced publications.Bos D, Yu S, Luong J et al (2021) Diagnostic reference levels and median doses for common clinical indications of CT: findings from an international registry. Eur Radiol. Smith-Bindman R, Wang Y, Chu P et al (2019) International variation in radiation dose for computed tomography examinations: prospective cohort study. BMJ 364:k4931Smith-Bindman R, Yu S, Wang Y et al (2022) An image quality-informed framework for CT Characterization. Radiology 302:380-389Chu PW, Yu S, Wang Y et al (2021) Reference phantom selection in pediatric computed tomography using data from a large, multicenter registry. Pediatr Radiol. However, the aim of this work is to understand specific quality practices for routine abdomen CT and is unrelated to previous studies. There is no overlap in the methodology.

: • Prospective• Observational• Multicenter study