Dear AuntMinnie Member,
The use of advanced viewing tools promises to have a major impact on the effectiveness of virtual colonoscopy in years to come. A group from Japan is working on what could be a promising new technology that combines elements of multiple views into a single application.
That's according to a new article in our Virtual Colonoscopy Digital Community by staff writer Eric Barnes. He recently traveled to the Computer Assisted Radiology and Surgery (CARS) conference in Osaka, Japan, where a group from the University of Nagoya presented its work on Navi-CAD, a new VC CAD exam tool.
The group believes Navi-CAD will save time in diagnosing colon disease, while improving lesion detection as well. The software includes a number of specialized views designed to make the tricky process of virtual colonoscopy interpretation easier to perform, including 3D endoluminal views, unfolded views, and multiplanar reformats. Other functions include real-time computer-aided detection and path tracking.
Learn more about the group's work by clicking here, or visit our Virtual Colonoscopy Digital Community at vc.auntminnie.com.
![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&dpr=2&fit=crop&h=167&q=70&w=250)
