Coronary CT imaging may help clinicians identify patients with suspected angina who may go on to have myocardial infarction.
Imaging with CT coronary angiography (CTCA) among patients with suspected angina due to coronary heart disease clarifies the diagnosis, enables targeting of interventions, and might reduce the future risk of myocardial infarction, according to a study published in The Lancet.
Researchers from Scotland performed a prospective, open-label, parallel-group, multicenter trial to assess the effect of CTCA on the diagnosis, management, and outcome of patients with suspected angina due to coronary heart disease (CHD).
A total of 4,146 subjects, aged 18 to 75, participated in the trial; 47% of participants had a baseline clinic diagnosis of CHD and 36% had angina due to CHD. They were randomly assigned (1:1) to standard care plus CTCA or standard care alone. The primary endpoint was certainty of the diagnosis of angina secondary to coronary heart disease at six weeks.
The findings showed that CTCA resulted in the reclassification of CHD diagnosis in 558 patients (27%) and angina due to CHD in 481 patients (23%). Planned investigations also changed in the CTCA group (15%) compared with the controls (1%). “Specifically, the use of CTCA was associated with the cancellation of 121 functional stress tests and 29 invasive coronary angiograms,” the authors wrote. “Conversely, CTCA was associated with 94 further invasive coronary angiograms. These changes were mainly the result of the exclusion or identification of obstructive coronary heart disease.”[[{"type":"media","view_mode":"media_crop","fid":"33730","attributes":{"alt":"David Newby","class":"media-image media-image-right","id":"media_crop_3680440780321","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"3571","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"height: 160px; width: 120px; border-width: 0px; border-style: solid; margin: 1px; float: right;","title":"David Newby","typeof":"foaf:Image"}}]]
After 1.7 years, CTCA was also associated with a 38% reduction in fatal and non-fatal myocardial infarction, but this was not significant, the authors noted.
"Our findings are encouraging,” lead researcher Professor David Newby, University of Edinburgh Centre for Cardiovascular Science, said in a release. “However, the overall rate of heart attacks was low and we need to follow them for longer to confirm whether the technology helps to save lives in the long-term."
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.
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.
Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).
Could Lymph Node Distribution Patterns on CT Improve Staging for Colon Cancer?
April 11th 2025For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.