System does a better job of indicating which patients with acute chest pain could experience adverse outcomes.
When it comes to predicting major cardiac events, the Coronary Artery Disease Reporting and Data System (CAD-RADS) does a better job with patients who have chest pain than coronary artery calcium (CAC) scoring.
In an article published July 19 in Radiology, investigators from South Korea showed that the CAD-RADS system, introduced in 2016, performs well in accurately predicting these events when acute pain is present. The system has already been shown to outperform CAC scoring for more stable chest pain.
Their work shows relying on CAD-RADS can provide benefit to patients who could be facing major adverse cardiovascular events (MACE).
“The Coronary Artery Disease Reporting and Data System category had an incremental prognostic value compared with clinical risk factors and coronary artery calcium score to predict future major adverse cardiovascular events in patients with acute chest pain presenting to the emergency department,” said the team led by Ji Won Lee, M.D., Ph.D., from the Pusan National University radiology department. “Our results showed that a higher CACS, higher CAD-RADS categories, and presence of high-risk plaque are associated with future MACE risk after adjusting for clinical risk factors.”
For their study, Lee’s team assessed CCTA exams from 1,492 patients who presented to four emergency department between January 2010 and December 2017. During that time, they determined that CAD-RADS augmented risk stratification more than clinical risk factors did with or without CAC scoring. Their findings also showed that CAD-RADS and existing high-risk plaque were independent MACE predictors.
Specifically, during 31.5 months of follow-up, 103 patients (7 percent) experienced MACEs. The team’s analysis revealed that having moderate-to-severe CACS was associated with MACE after adjusting for clinical risk factors, as were CAD-RADS categories 3, 4, or 5. Ultimately, the C statistics showed that CAD-RADS risk stratification improvement was 0.85 over clinical factors alone (0.63) or in combination with CAC scoring (0.76).
In an accompanying editorial, Rozemarijn Vliegenthart, M.D., Ph.D., a radiologist at the University Medical Center Gröningen in The Netherlands, said this study is the first to her knowledge that takes an in-depth look at prognostic value that CAD-RADS brings to evaluating patients with acute chest pain.
She noted that these findings underscore ongoing efforts that show the system can help radiologists better communicate CT findings to referring providers. In addition, she pointed out that the system could help with quality-of-care standardization, ultimately improving patient outcomes.
“This valuable study…gives a first glimpse, but a defining and consequential one, of the value that a standardized CCTA reporting system, including its additional CAD features, can have in patients with acute chest pain,” she said. “CAD-RADS helps to standardize quality of care and, moreover, may improve the outcome in patients with acute chest pain across emergency departments. Although it may still be, as to be expected in such a study, a preliminary expectation, in my opinion, it is a big step in the right direction.”
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.