HealthDay News - Multidetector CT more accurate than single-detector CT in diagnosing small cerebral aneurysms
HealthDay News - Computed tomographic (CT) angiography, especially by modern multidetector CT, is a highly accurate tool for diagnosing cerebral aneurysms, according to a meta-analysis published online March 9 in the Annals of Neurology.
Jan Menke, MD, from the University Hospital in Goettingen, Germany, and colleagues examined data from 45 studies, including 3,643 patients with cerebral aneurysms, to evaluate noninvasive CT angiography in diagnosing intracranial aneurysms. The accuracy of CT angiography was compared with digital subtraction angiography and/or intraoperative findings in patients suspected of having cerebral aneurysms.
The investigators found that 77 percent of patients had cerebral aneurysms and 86 percent had nontraumatic subarachnoid hemorrhage. On a per-patient basis, the pooled sensitivity of CT angiography for detecting cerebral aneurysms was 97.2 percent, and specificity for ruling out cerebral aneurysms was 97.9 percent. On a per-aneurysm basis, the sensitivity and specificity were 95.0 and 96.2 percent, respectively. CT angiography with multidetector CT (16- or 64-row) had a significantly higher diagnostic accuracy than that of single-detector CT, especially in case of small aneurysms (diameter of 4 mm or less).
"CT angiography has a high accuracy in diagnosing cerebral aneurysms, specifically when using modern multidetector CT," the authors write.
AbstractFull Text (subscription or payment may be required)
Copyright © 2011 HealthDay. All rights reserved.
Study Examines CT-Based AI Detection of Incidental Abdominal Aortic Aneurysms
April 29th 2025The AI software Viz AAA offered a sensitivity of 87.5 percent in detecting abdominal aortic aneurysms on contrast-enhanced CT, according to new retrospective research presented at the American Roentgen Ray Society (ARRS) conference.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.