Simon Lee

Conference
Advances in forensic imaging bring new opportunities for radiology
VIENNA - As the reliability of modern forensic imaging rapidly improves, radiologists are being increasingly sought out by forensic pathologists to help examine bodies noninvasively, so they should be prepared to answer that call, according to experts in a special session on advances in forensic imaging on Sunday at ECR 2013.
March 9, 2013
2013 03 08 17 03 59 71 2013 03 10 Forensic Thumb
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Dr. Alba Pugliesi
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Video: Dr. Alba Pugliesi on what keeps her dreams big
By Claudia Tschabuschnig
In a video interview, radiologist Dr. Rosa Alba Pugliesi shares how limits are only in your head.
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Dr. Alba Pugliesi
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Firefighters in Kyiv inspect a damaged building after an attack, illustrating the destruction wrought by the war.
MRI: The third imaging 'window' happens after the exam
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Giuseppe Scappatura of the Grande Ospedale Metropolitano Bianchi Melacrino Morelli in Reggio Calabria, Italy.
One tool, many rulebooks: How the world is and isn't regulating medical AI
By Claudia Tschabuschnig
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Hospitals across Europe, here in Katowice, Poland, are deploying AI tools in clinical workflows, but the regulatory infrastructure to oversee them is still catching up.
Experts propose new MRI standards for prostate cancer screening
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Am 2016 10 04 11 38 34 158 Prostate 400
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PET/CT images performed at 10- and 60-minutes following injection of Ga-68 FAPI-46 (mean 181 MBq; range 143–225 MBq).
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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.
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Breast Cancer Social
AI may provide early breast cancer alerts from mammograms
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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 (*).
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