Kalpana Kanal, PhD, of the University of Washington Medical Center in Seattle, spoke to AuntMinnie about forensic CT.
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
-
Radiomics plus DL improve prediction of lung cancer invasiveness
This combined model could support better treatment planning for patients with early-stage disease.
-
Consider global lung features on LDCT to improve cancer risk prediction
Integrating these features into a lung cancer prediction model ‘addresses key limitations of existing approaches,’ researchers…
-
MRI, CT, ultrasound biomarkers help identify Crohn disease strictures
The findings of a review published in Radiographics could help clinicians determine the best treatment for the disease.
-
PET/CT reveals ‘chemo brain’ regions in leukemia patients
Chemotherapy is associated with brain metabolic alterations, particularly in areas governing cognition and emotion.
-
Stanford AIDE lab proposes radiology AI safety monitoring model
EMM was developed to monitor FDA-cleared radiological AI devices as a complement to retrospective monitoring.
-
Abnormal CT-FFR results translate to up to 7 years of cardiovascular risk
The prognostic value of CT fractional flow reserve (CT-FFR) has been unclear, but a recent study’s findings offer further insight…
-
AI improves interreader CAD-RADS agreement on CCTA
The results suggest that ‘the use of [deep learning] to automate CAD-RADS evaluations holds potential to further reduce variability…
-
Surveillance of ground-glass nodules found on CT appears sufficient
Study results showed that both surveillance and surgery groups demonstrated “comparable favorable oncologic outcomes.”