Authors
Huibert C Ruitenbeek, Edwin HG Oei, Bart L Schmahl, Eelke M Bos, Rob JCG Verdonschot, Jacob J Visser
Publication date
2024/4/1
Journal
European Journal of Radiology
Volume
173
Pages
111375
Publisher
Elsevier
Description
Background
Artificial intelligence (AI) applications can facilitate detection of cervical spine fractures on CT and reduce time to diagnosis by prioritizing suspected cases.
Purpose
To assess the effect on time to diagnose cervical spine fractures on CT and diagnostic accuracy of a commercially available AI application.
Materials and methods
In this study (June 2020 - March 2022) with historic controls and prospective evaluation, we evaluated regulatory-cleared AI-software to prioritize cervical spine fractures on CT. All patients underwent non-contrast CT of the cervical spine. The time between CT acquisition and the moment the scan was first opened (DNT) was compared between the retrospective and prospective cohorts. The reference standard for determining diagnostic accuracy was the radiology report created in routine clinical workflow and adjusted by a senior radiologist. Discrepant cases were reviewed and …
Scholar articles
HC Ruitenbeek, EHG Oei, BL Schmahl, EM Bos… - European Journal of Radiology, 2024