CT Angiograms Outperform Ergometrics for Detecting Blocked Arteries
By MedImaging International staff writers Posted on 08 Nov 2015 |
A new study shows that noninvasive computerized tomography (CT) scanning of cardiac vessels is far better at spotting coronary artery disease (CAD) than commonly prescribed exercise stress tests.
Researchers at Johns Hopkins University (JHU; Baltimore, MD, USA), St. Luke’s International Hospital (Tokyo, Japan), and other institutions conducted a study to compare the accuracy of single-photon emission computed tomography (CT)–acquired myocardial perfusion imaging (SPECT-MPI)and coronary CT angiography (CTA) for the diagnosis of CAD in 391 symptomatic patients who were prospectively enrolled in 16 hospitals in eight countries, after clinical referral for cardiac catheterization.
All the patients (ages 45–85) underwent noninvasive SPECT-MPI angiograms, followed by traditional CTA; within two months, each patient also underwent an exercise stress test. The results showed that sensitivity to identify CAD was greater for CTA than SPECT-MPI; the results were similar in patients without previous history of CAD. Noninvasive CTA accurately detected or ruled out artery blockages in 91% of the patients, compared with 69% for stress testing. The study was published online on October 14, 2015, in Circulation: Cardiovascular Imaging.
“Results of the new study should help settle lingering doubts among physicians and the nearly 15 million Americans who seek medical attention each year for symptoms that signal a clogged artery, including chest pain, shortness of breath, and extreme fatigue,” said lead author Armin Zadeh, MD, PhD, MPH, associate professor of medicine at the JHU School of Medicine. “We hope our findings will settle any residual uncertainty about the effectiveness of these two common noninvasive heart tests.”
Current guidelines from the American Heart Association (AHA; Dallas, TX, USA) and the American College Cardiology (ACC) call for a stress tests in all patients who show signs of CAD to confirm the diagnosis and define the severity of the blockage. CT angiograms are generally reserved only for patients with borderline stress test results. However, according to the researchers, the much higher accuracy of CTA may be a better first-line test in people with symptoms suggestive of a blocked artery.
Related Links:
Johns Hopkins University
St. Luke’s International Hospital
American Heart Association
Researchers at Johns Hopkins University (JHU; Baltimore, MD, USA), St. Luke’s International Hospital (Tokyo, Japan), and other institutions conducted a study to compare the accuracy of single-photon emission computed tomography (CT)–acquired myocardial perfusion imaging (SPECT-MPI)and coronary CT angiography (CTA) for the diagnosis of CAD in 391 symptomatic patients who were prospectively enrolled in 16 hospitals in eight countries, after clinical referral for cardiac catheterization.
All the patients (ages 45–85) underwent noninvasive SPECT-MPI angiograms, followed by traditional CTA; within two months, each patient also underwent an exercise stress test. The results showed that sensitivity to identify CAD was greater for CTA than SPECT-MPI; the results were similar in patients without previous history of CAD. Noninvasive CTA accurately detected or ruled out artery blockages in 91% of the patients, compared with 69% for stress testing. The study was published online on October 14, 2015, in Circulation: Cardiovascular Imaging.
“Results of the new study should help settle lingering doubts among physicians and the nearly 15 million Americans who seek medical attention each year for symptoms that signal a clogged artery, including chest pain, shortness of breath, and extreme fatigue,” said lead author Armin Zadeh, MD, PhD, MPH, associate professor of medicine at the JHU School of Medicine. “We hope our findings will settle any residual uncertainty about the effectiveness of these two common noninvasive heart tests.”
Current guidelines from the American Heart Association (AHA; Dallas, TX, USA) and the American College Cardiology (ACC) call for a stress tests in all patients who show signs of CAD to confirm the diagnosis and define the severity of the blockage. CT angiograms are generally reserved only for patients with borderline stress test results. However, according to the researchers, the much higher accuracy of CTA may be a better first-line test in people with symptoms suggestive of a blocked artery.
Related Links:
Johns Hopkins University
St. Luke’s International Hospital
American Heart Association
Latest Radiography News
- World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
- AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
- Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
- AI-Powered Mammograms Predict Cardiovascular Risk
- Generative AI Model Significantly Reduces Chest X-Ray Reading Time
- AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
- Photon Counting Detectors Promise Fast Color X-Ray Images
- AI Can Flag Mammograms for Supplemental MRI
- 3D CT Imaging from Single X-Ray Projection Reduces Radiation Exposure
- AI Method Accurately Predicts Breast Cancer Risk by Analyzing Multiple Mammograms
- Printable Organic X-Ray Sensors Could Transform Treatment for Cancer Patients
- Highly Sensitive, Foldable Detector to Make X-Rays Safer
- Novel Breast Cancer Screening Technology Could Offer Superior Alternative to Mammogram
- Artificial Intelligence Accurately Predicts Breast Cancer Years Before Diagnosis
- AI-Powered Chest X-Ray Detects Pulmonary Nodules Three Years Before Lung Cancer Symptoms
- AI Model Identifies Vertebral Compression Fractures in Chest Radiographs
Channels
MRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more