Man suffering from heart attack

Current or previous infection with F. nucleatum may be associated with increased risk of artery blockages that can cause heart attacks. (© twinsterphoto -

OAK BROOK, Ill. – High-tech scans can identify patients at risk of a heart attack years before anything actually happens, a new study reveals. The method called “radiomics” combines data from CT (computed tomography) scans that reveal signs of disease not visible in the images alone.

Researchers working with the Radiological Society of North America say the new technique spots deposits of fat in artery walls that could cut off the organ’s blood supply. The large plaques rich in lipids such as bad cholesterol cause most heart attacks. They sometimes rupture but predicting this is challenging.

“The results of this study are encouraging and exciting,” says study co-lead author Long Jiang Zhang, M.D., Ph.D., from the Department of Radiology at Jinling Hospital, Medical School of Nanjing University, in a media release. “Radiomics provided a more accurate approach to detect vulnerable plaques compared to conventional coronary CT angiography anatomical parameters.”

Radiomics is a potential gamechanger, enabling the use of statins or other protective drugs at the earliest opportunity. The Chinese team developed a model based on information from the CT scans of around 300 individuals. It enabled detection of life-threatening clots in just over 700 patients with suspected coronary artery disease.

A “high radiomic signature” displayed an independent link to potential heart attacks over an average follow-up period of three years. It would be easy to add into practice, helping classify those likely to suffer such an event in the future.

CT scans of the heart
Representative images from two patients demonstrate the use of a radiomic signature (RS) to discriminate vulnerable plaques defined with intravascular US. (A–C) Images depict a vulnerable plaque with a high RS. (A) Image from coronary CT angiography (CCTA) shows a partially calcified plaque (arrow) with RS value of 0.56 in the proximal left anterior descending artery (LAD). (B) Corresponding axial CCTA image shows the plaque with low-attenuation area (circle, 25 HU). (C) Corresponding intravascular US scan confirms the plaque as an attenuated plaque (*). (D–F) Images show a nonvulnerable plaque with low RS. (D, E) CCTA images show a partially calcified plaque (arrow in D) with RS value of 0.50 in the proximal left anterior descending artery. (F) Corresponding intravascular US scan confirms the plaque as a partially calcified plaque without echo attenuation and echolucent zone. High versus low RS lesion was defined using an optimal cut-off value of 0.53 (range, 0.46–0.58). (CREDIT: Radiological Society of North America)

“If the radiomics analysis is embedded into the routine CT angiography workstation, it can automatically identify vulnerable plaques for clinician review,” Dr. Zhang says. “Thus, radiomics may significantly improve the accuracy and precision of high-risk plaque detection in routine clinical practice.”

According to the Centers for Disease Control and Prevention, someone in the United States has a heart attack every 40 seconds. Dr. Zhang’s system would enable hundreds of thousands of people over 40 to undergo predictive CT scans — particularly smokers, diabetics, and those who are overweight.

Previous research suggests that one in 10 of those who receive an “all-clear” diagnosis after a regular CT scan are still at risk of a heart attack because of plaques the scan did not detect. Dr. Zhang and the team are now building a radiomics model from different scanner types and vendors. They are also planning a larger study of 10,000 patients.

“With the support of large observational studies and randomized controlled trials, the radiomics approach may help guide clinical decision-making and improve patient care in the future,” the researcher concludes.

The study is published in the journal Radiology.

South West News Service writer Mark Waghorn contributed to this report.

Our Editorial Process

StudyFinds publishes digestible, agenda-free, transparent research summaries that are intended to inform the reader as well as stir civil, educated debate. We do not agree nor disagree with any of the studies we post, rather, we encourage our readers to debate the veracity of the findings themselves. All articles published on StudyFinds are vetted by our editors prior to publication and include links back to the source or corresponding journal article, if possible.

Our Editorial Team

Steve Fink


Chris Melore


Sophia Naughton

Associate Editor