Dear AuntMinnie Member,
Could computer-aided detection (CAD) improve virtual colonoscopy's position as a colon screening alternative to optical colonoscopy? It might, based on research we're featuring in this week's AuntMinnieTV segment.
Researchers led by Dr. Ronald Summers from the National Institutes of Health in Bethesda, MD, have developed a CAD algorithm for analyzing virtual colonoscopy studies. Their findings were presented at the 2005 Radiological Society of North America meeting.
The group retrospectively analyzed data from the landmark 2003 study on virtual colonoscopy conducted by Dr. Perry Pickhardt et al and published in the New England Journal of Medicine. They found that radiologists using virtual colonoscopy were able to achieve sensitivity comparable to optical colonoscopy in detecting larger polyps, and VC with CAD was almost as good as optical colonoscopy in smaller polyps (those 8 mm and larger) as well.
Learn all about the study by viewing the segment by clicking here. To see the rest of the AuntMinnieTV reports from the RSNA show, check out our RSNA 2005 Video Gallery.



















![Axial images from unenhanced calcium score cardiac CT (left) and curved planar reformation images from CT angiography (right) show that higher long-term exposure to air pollution is associated with greater coronary artery calcium and more obstructive coronary artery disease (CAD). Top row: Images in a 68-year-old male patient with higher 10-year mean ambient air pollution exposure (7.9 μg/m3 for particulate matter measuring ≤2.5 μm in diameter [PM2.5] and 17.4 parts per billion [ppb] for NO2) with extensive CAD (coronary artery calcium score [CACS] >1,000 and obstructive CAD [≥70% diameter stenosis]). Bottom row: Images in a 57-year-old female patient with lower 10-year mean ambient air pollution exposure (6.3 μg/m3 for PM2.5 and 4.6 ppb for NO2) with no CAD (CACS = 0 and no obstructive stenosis).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/hanneman.r6SMLzkezo.png?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)
