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

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Title: Crowd-sourcing optimized abdomen CT protocols from 908,000 examinations in a large radiation dose registry.
Authors: Smith-Bindman R; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. rebecca.smith-bindman@ucsf.edu.; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA. rebecca.smith-bindman@ucsf.edu.; Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA. rebecca.smith-bindman@ucsf.edu., Kang T; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA., Stewart C; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA., Chu PW; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA., Wang Y; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA., Szczykutowicz TP; Department of Radiology, University of Wisconsin, Madison, WI, USA.
Source: European radiology [Eur Radiol] 2026 May; Vol. 36 (5), pp. 3454-3464. Date of Electronic Publication: 2025 Nov 24.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Smith-Bindman+R%22">Smith-Bindman R</searchLink>; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. rebecca.smith-bindman@ucsf.edu.; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA. rebecca.smith-bindman@ucsf.edu.; Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA. rebecca.smith-bindman@ucsf.edu.<br /><searchLink fieldCode="AU" term="%22Kang+T%22">Kang T</searchLink>; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Stewart+C%22">Stewart C</searchLink>; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Chu+PW%22">Chu PW</searchLink>; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Szczykutowicz+TP%22">Szczykutowicz TP</searchLink>; Department of Radiology, University of Wisconsin, Madison, WI, USA.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 May; Vol. 36 (5), pp. 3454-3464. <i>Date of Electronic Publication: </i>2025 Nov 24.
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              Text: 2026 May
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