Welcome to Diagnostic Imaging’s Weekly Scan, which offers an opportunity to catch up on the most well-viewed radiology content of the past week.
A large multicenter retrospective cohort study published in Radiology has found that AI-derived risk scores from screening mammograms diverge significantly between women who go on to develop breast cancer and those who remain cancer-free — and this divergence is detectable years before diagnosis.
In a recent interview with Diagnostic Imaging, lead study author Connie Lehman, MD, PhD, discussed the potential of this dynamic risk-adaptive screening.
In a new study looking at neuroimaging utilization in emergency departments, researchers found that non-contrast head CT exams, head and neck CT exams and spine CT imaging increased by 33 percent, 76.9 percent and 52.9 percent, respectively, per 1,000 emergency department encounters over the last decade.
In a recent interview discussing the SNMMI conference, Jeremie Calais, MD, PhD, shared his thoughts on emerging advances. a key mentor in nuclear medicine and combination therapy for prostate cancer.
In a recent episode of our “Molecular Imaging in Focus” series, Surekha Yadav, MBBS, MD, discussed research presented at the SNMMI conference that showed significant advantages of PSMA PET over conventional imaging for detection of osseous oligometastatic prostate cancer (PCa).
The Food and Drug Administration (FDA) has granted 510(k) clearance for the VascularAssist Occlusion Triage (VAOT) software, a CT-based AI software that may facilitate more timely detection and triage for patients with peripheral artery disease (PAD). The software demonstrated over a 90 percent sensitivity for detecting peripheral artery disease (PAD) on CT in clinical performance testing, according to GuideAI Health, the developer of the software.
Thank you for checking out the latest edition of Diagnostic Imaging’s Weekly Scan.