New research suggests the Viz Aortic Dissection Algorithm has a 94.2 percent sensitivity rate for detecting aortic dissection on computed tomography (CT) angiography.
Acute aortic dissection is reportedly misdiagnosed in 57 to 85 percent of cases with a mortality rate approaching 50 percent within 48 hours of onset.1 However, emerging research, presented at the recent VEITHSymposium, suggests the use of artificial intelligence (AI) algorithm may enhance the detection of aortic dissection on computed tomography (CT) angiography.
In a retrospective review of 1,303 chest and thoraco-abdominal CT angiography scans, researchers compared the Viz Aortic Dissection Algorithm (Viz.ai), a deep learning, AI-based software application, to ground truth consensus of three board-certified radiologists. According to the study, the data set was comprised of 137 CT angiography exams positive for aortic dissection and 1,166 dissection-negative exams.2
The study authors found that the Viz Aortic Dissection Algorithm had a 94.2 percent sensitivity rate and a 97.3 percent specificity rate. The algorithm also had a positive predictive value of 80.1 percent and a negative predictive value of 99.3 percent, according to the research.2
The researchers suggested the algorithm could enhance patient triage with earlier diagnosis and accelerated care coordination possibly leading to more timely interventions and improved outcomes.
“The application of this aortic algorithm into the workflow has the potential to move the needle for care teams treating this deadly disease,” noted study co-author Peter D. Chang, M.D., co-director of the Center for Artificial Intelligence in Diagnostic Medicine at the University of California-Irvine (UC-Irvine).
References
1. Levy D, Goyal A, Grigorova Y, Farci F, Le JK. Aortic Dissection. StatPearls. Available at: https://www.ncbi.nlm.nih.gov/books/NBK441963/ . Updated May 2, 2022. Accessed November 21, 2022.
2. Viz.ai. Viz.ai announces positive new data from large aortic dissection AI real-world study at the 2022 VEITHSymposium. Business Wire. Available at: https://www.businesswire.com/news/home/20221118005105/en/Viz.ai%E2%84%A2-Announces-Positive-New-Data-From-Large-Aortic-Dissection-AI-Real-World-Study-at-the-2022-VEITHsymposium%E2%84%A2 . Published November 18, 2022. Accessed November 23, 2022.
Study: AI-Generated ADC Maps from MRI More Than Double Specificity in Prostate Cancer Detection
June 5th 2025Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.
Can AI Assessment of PET Imaging Predict Treatment Outcomes for Patients with Lymphoma?
June 2nd 2025The use of adjunctive AI software with pre-treatment PET imaging demonstrated over a fourfold higher likelihood of predicting progression-free survival (PFS) in patients being treated for lymphoma, according to a new meta-analysis.
Lunit Unveils Enhanced AI-Powered CXR Software Update
May 28th 2025The Lunit Insight CXR4 update reportedly offers new features such as current-prior comparison of chest X-rays (CXRs), acute bone fracture detection and a 99.5 percent negative predictive value (NPV) for identifying normal CXRs.