Health AI Central
Peer-Reviewed Publication
AJR Am J Roentgenol2023;221(6):748-758.December 1, 2023Journal Article

Detection of Moderate Hepatic Steatosis on Portal Venous Phase Contrast-Enhanced CT: Evaluation Using an Automated Artificial Intelligence Tool.

Perry J Pickhardt1, Glen M Blake2, Yotam Kimmel3, Esther Weinstock3, Keren Shaanan3, Shiri Hassid3, Ahmad Abbas4, Matthew A Fox3,5
1Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252.
2School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
3Nanox-AI, Ltd., Neve Ilan, Israel.
4Department of Radiology, Barzilai University Medical Center, Ashkelon, Israel.
5Department of Radiology, Samson Assuta Ashdod University Hospital, Ashdod, Israel.
PubMed DOI

Abstract

BACKGROUND. Precontrast CT is an established means of evaluating for hepatic steatosis; postcontrast CT has historically been limited for this purpose. OBJECTIVE. The purpose of this study was to evaluate the diagnostic performance of portal venous phase postcontrast CT in detecting at least moderate hepatic steatosis using liver and spleen attenuation measurements determined by an automated artif…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.