SCAI Meeting: 3D Angiography Helps Identify Hidden Coronary Lesions
Las Vegas, Nev. (May 30, 2014) – Three-dimensional imaging known as 3D quantitative coronary angiography (3D-QCA) accurately identifies hard-to-see coronary artery lesions that merit further evaluation, according to the IQ-CATEGORIZE Lesions Study presented today as a late-breaking clinical trial at the Society for Cardiovascular Angiography and Interventions (SCAI) 2014 Scientific Sessions in Las Vegas.
In patients with symptoms or tests suggestive of coronary artery disease but visibly underwhelming disease on angiography, variation in how the angiogram is interpreted can lead to wide variation in treatment and concerns of over- or under-treatment. This new study evaluates reliability of 3D-QCA as a simple tool to determine lesion severity.
Interventional cardiologists routinely use the caliber of the coronary catheter to determine stent size. In 3D-QCA, a 3D image is created in a similar way, by using the catheter’s size in two or more angled views to create a proportionate 3D image.
To evaluate 3D-QCA’s accuracy, researchers reviewed 131 suspicious lesions in 79 patients. They compared average minimum coronary channel (or luminal) diameter (MLD) from two angulated views to the in-lesion percent plaque area stenosis (%PAS), a proven and highly accurate measure taken by intravascular coronary ultrasound (IVUS), which uses an ultrasound catheter probe to view a blockage in cross section.
Prior studies using IVUS have established %PAS >67% in left main arteries and >70% in non-left main arteries as accurate measures of blockage severity. However, %PAS is less commonly used than other severity measures because it requires additional equipment to be passed down an artery. 3D-QCA has potential advantages, because its 3D images are constructed using standard coronary angiogram images without need for additional imaging or equipment.
In this study, researchers used a 6 French (Fr) = 2mm catheter severity cutoff for small (2.6-3.0mm) and medium-sized (3.1-4.5mm) vessels, and an 8 Fr or 2.67mm cutoff for left main or large (>4.5mm) vessels. They found average MLD’s less than the cutoffs measured by 3D-QCA were highly predictive of %PAS results. In small and medium vessels, 3D-QCA was highly accurate in predicting severe %PAS >70%, which is likely to indicate severe disease (93%accuracy in small vessels and 97% accuracy in medium vessels). In left main and large vessels, 3D-QCA reliably distinguished severe %PAS >67% and >70% (94%accuracy in left main and 92 percent accuracy in large vessels).
“In symptomatic patients, 3D-QCA using the cutoffs established in this study helps determine the location of relevant severe suspicious blockages that may warrant treatment,” said Charles Laham, MD, FACC, FRCPC, FSCAI,principal investigator of the study. “3D-QCA appears to be a simple yet reliable tool to help interventional cardiologists distinguish which occult lesions should be further evaluated. The technique can help improve patient care, while reducing variation in care.”
Dr. Laham reports no conflicts of interest.
Dr. Laham presented “3Dimensional Quantitative Coronary Angiography using Coronary Catheters as Objective Markers Reliably Unmasks Severe Occult Stenosis in Diffusely Diseased Vessels: New Results from the IQ-CATEGORIZE Lesions Study,” on Friday, May 30, 2014, at 2:00 p.m. (Pacific Time).
The Society for Cardiovascular Angiography and Interventions is a 4,000-member professional organization representing invasive and interventional cardiologists in approximately 70 nations. SCAI's mission is to promote excellence in invasive/interventional cardiovascular medicine through physician education and representation, and advancement of quality standards to enhance patient care. SCAI's public education program, SecondsCount, offers comprehensive information about cardiovascular disease. For more information about SCAI and SecondsCount, visit www.SCAI.org or www.SecondsCount.org. Follow @SCAI and @SCAINews on Twitter for the latest heart health news, and use #SCAI2014 to join the annual meeting conversation.