Crowd-sourcing optimized abdomen CT protocols from 908,000 examinations in a large radiation dose registry

Question Can we identify best-practice imaging protocols from a large CT registry, to offer clinicians a blueprint for optimizing radiation dose in routine abdomen CT? Findings Protocols were grouped into clusters using average acquisition parameters. Across clusters, patient size-adjusted radiation dose varied 486-1382 mGy-cm. Lowest-dosed protocols had one phase and low kVp. Clinical relevance We used crowd-sourcing and k-means clustering to identify routine abdomen CT protocols that achieve lowest radiation dose, offering a playbook for protocol design from real clinical practice. Non-indicated phases were the greatest driver of excessive radiation dose.

Authors

Institutions

Publication Details

Journal
European Radiology
Published
2025-11-24
DOI
https://doi.org/10.1007/s00330-025-12131-w
Primary Topic
Radiation Dose and Imaging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crowd-sourcing optimized abdomen CT protocols from 908,000 examinations in a large radiation dose registry

Rebecca Smith‐Bindman, Carly Stewart, Timothy P. Szczykutowicz, Philip Chu et al.
European Radiology
Radiation Dose and Imaging
article

Crowd-sourcing optimized abdomen CT protocols from 908,000 examinations in a large radiation dose registry

Rebecca Smith‐Bindman, Carly Stewart, Timothy P. Szczykutowicz, Philip Chu, Yifei Wang, Taewoon Kang
article en

Abstract

Question Can we identify best-practice imaging protocols from a large CT registry, to offer clinicians a blueprint for optimizing radiation dose in routine abdomen CT? Findings Protocols were grouped into clusters using average acquisition parameters. Across clusters, patient size-adjusted radiation dose varied 486-1382 mGy-cm. Lowest-dosed protocols had one phase and low kVp. Clinical relevance We used crowd-sourcing and k-means clustering to identify routine abdomen CT protocols that achieve lowest radiation dose, offering a playbook for protocol design from real clinical practice. Non-indicated phases were the greatest driver of excessive radiation dose.

European Radiology
University of Wisconsin–Madison (US), Lee University (US), University of California, San Francisco (US), Global Brain Health Institute (US)
Patient-Centered Outcomes Research Institute, National Cancer Institute
Openalex Percentile: Top 49%
Radiation Dose and Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.