Virtual Colonoscopy Training With Drs. Pickhardt & Kim

Apr 30th, 2008May 2nd, 2008
Victoria, British Columbia
CA
https://www.otghealthcare.com/vctraining
This two-day course covers all aspects of running a successful CT colonography program, including program setup, reimbursement, CTC technique, CTC interpretation, and data management. The clinically proven methods used by Drs. Pickhardt and Kim in the largest screening experience have resulted in more than 50 peer-reviewed publications, including two in the New England Journal of Medicine. Learn from the masters!
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SIIM: LLMs can reliably perform numerical tasks in radiology
June 10, 2026
Webinar: AI for CT & PET/CT Imaging
Sponsored
Webinar: AI for CT & PET/CT Imaging
June 4, 2026
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SIIM: LLMs have tradeoffs in energy use for imaging tasks
June 10, 2026
C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.
AI gives a boost to cardiac MRI risk prediction
June 10, 2026
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SIIM: LLMs can reliably perform numerical tasks in radiology
By Amerigo Allegretto
A study presented at SIIM 2026 showed how LLMs can perform well on numerical tasks in radiology.
June 10, 2026
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Early FAPI-PET scans match 60-minute scans for lung cancer staging
By Will Morton
By convention, most molecular imaging tracers such as F-18 FDG are injected one hour prior to PET scans to allow time for uptake of the tracer by tumors.
June 10, 2026
PET/CT images performed at 10- and 60-minutes following injection of Ga-68 FAPI-46 (mean 181 MBq; range 143–225 MBq).
SIIM: LLMs have tradeoffs in energy use for imaging tasks
By Amerigo Allegretto
Research presented at SIIM 2026 shows that reasoning LLMs have energy tradeoffs for their performances.
June 10, 2026
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AI gives a boost to cardiac MRI risk prediction
By Kate Madden Yee
Accurate risk prediction for coronary heart disease helps clinicians guide patient therapy and follow-up.
June 10, 2026
C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.
Philips Future Health Index quantifies benefits of AI in healthcare
By Liz Carey
2026 report takes AI beyond potential.
June 10, 2026
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MSK AI tool for ultrasound shows promise for assisting novice imagers
By Liz Carey
The software evaluated for standard plane recognition and automatic key anatomy segmentation.
June 9, 2026
AI-acquired standardized planes. Example ultrasound images acquired in clinical settings with the on-cart, AI-based software, illustrating automated acquisition and anatomic annotation of three standard planes: (A) S5 dorsal longitudinal plane of the wrist joint, (B) S11 transverse section of the proximal carpal tunnel, and (C) S14 transverse section of the second and third flexor tendons. A1 = trochlea A1, Cap = capitate, C-M.JS = recess of the capitate-metacarpal joint, D&Ss = flexor digitorum profundus and superficialis tendons, FCR = flexor carpi radialis tendon, FD = flexor digitorum tendon, FPL = flexor pollicis longus tendon, L-C.JS = recess of the lunate-capitate joint, Lun = lunate, MN = median nerve, Pis = pisiform, Rad = radius, R-C.JS = recess of the radiocarpal joint, Sca = scaphoid, UA = ulnar artery, UN = ulnar nerve, 3rd Met = third metacarpal.
fMRI reveals postmenopausal brain connectivity shifts in midlife women
By Kate Madden Yee
The findings suggest that menopause represents "an important neurological transition," researchers noted.
June 9, 2026
Network-level analysis comparing functional association strength between ROIs of pre- and postmenopausal groups. Lower levels of connectivity were identified among one cluster (F3,106 = 8.84, Puncorrected < 0.001, PFDR = 0.012) in the postmenopausal group, which included the right supramarginal gyrus anterior division, right planum temporale, and right Heschl’s gyrus, among others. FDR, false discovery rate; ROI, region of interest.
Air pollution tied to worse coronary disease on CT, especially in women
By Kate Madden Yee
The strongest effects of pollution exposure is seen in women, even at moderate levels typical of high-income countries.
June 9, 2026
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).
SIIM: Quality management needed for successful use of imaging AI
By Amerigo Allegretto
A keynote given at the SIIM-ACR Data Science Summit shared how quality management is important in using imaging AI.
June 9, 2026
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AI may provide early breast cancer alerts from mammograms
By Amerigo Allegretto
Commercial AI systems could provide early alerts for breast cancer by picking out early signs of the disease on mammograms.
June 9, 2026
Screening mammograms and AI score changes are depicted over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast. The description below each mammogram indicates whether AI scores from three AI-based computer-aided detection systems (AI-1, AI-2, and AI-3) were above or below the 90th percentile. (A) Mammograms from three screening time points (in 2009, 2011, and 2014) in an individual who was diagnosed in February 2014 (at age 73 years) with a left-sided 25-mm grade 2 invasive breast carcinoma, no special type (arrow). Mammographic breast density was classified as BI-RADS B on all three mammograms. (B) Mammograms from four screening time points (in 2009, 2011, 2013, and 2015) in an individual who was diagnosed in October 2015 (at age 65 years) with a left-sided 45-mm grade 2 lobular carcinoma (arrow). Mammographic breast density was classified as BI-RADS C on all four mammograms. Screen-detected cancers were defined as those diagnosed within 90 days for individuals who were recalled at screening (*).
Podcast: Pandharipande talks about leadership as Penn Radiology chair
By Liz Carey
What is the field of radiology looking for?
June 8, 2026
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Radiology job market report casts doubt on U.S. radiologist shortage
By Liz Carey
Report reveals where and why radiology jobs are hard to fill.
June 8, 2026
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