News | October 04, 2006

CT, MRI May Outdetect Angiogram for CAD

A study by researchers at the Humboldt-Universität, Berlin, Germany, which was published in Journal Annals of Internal Medicine, September 19, 2006, stated that multislice CT and MRI are more effective than coronary angiography at detecting coronary artery disease (CAD).
In the study, which surveyed images of the coronary arteries of 108 patients with suspected coronary artery disease, investigators used conventional coronary angiography as the standard for comparison. Next, they evaluated the sensitivity and specificity of the less-invasive multislice CT and non-invasive MRI. They concluded that the multislice CT was superior to MRI for ruling out CAD. However, they added that multislice CT exposes the patient to radiation and involves an intravenous injection of contrast agent, which can damage the kidneys.

Related Content

Video Plus Brochure Helps Patients Make Lung Cancer Scan Decision

Image courtesy of the American Thoracic Society

News | Lung Cancer | April 19, 2019
A short video describing the potential benefits and risks of low-dose computed tomography (CT) screening for lung...
FDA Clears GE's Deep Learning Image Reconstruction Engine
Technology | Computed Tomography (CT) | April 19, 2019
GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its Deep Learning Image...
Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
Johns Hopkins Medicine First in U.S. to Install Canon Medical's Aquilion Precision
News | Computed Tomography (CT) | March 26, 2019
March 26, 2019 — Johns Hopkins Medicine now has access to the first...
NIH Study of Brain Energy Patterns Provides New Insights into Alcohol Effects

NIH scientists present a new method for combining measures of brain activity (left) and glucose consumption (right) to study regional specialization and to better understand the effects of alcohol on the human brain. Image courtesy of Ehsan Shokri-Kojori, Ph.D., of NIAAA.

News | Neuro Imaging | March 22, 2019
March 22, 2019 — Assessing the patterns of energy use and neuronal activity simultaneously in the human brain improve