ECR Mammography Study: Pre-Op CEM Detects 34 Percent More Multifocal Masses than Mammography
In addition to contrast-enhanced mammography (CEM) demonstrating over a 90 percent detection rate for multifocal masses, researchers found that no significant difference between histological measurements and CEM, according to study findings presented at the European Congress of Radiology.
Emerging AI Software for Prostate MRI Offers 95 Percent Sensitivity for csPCa
In a multicenter study involving over 1,000 patients, a deep learning software offered comparable sensitivity and specificity for Gleason grade group > 2 tumors in comparison to radiologist interpretation.
In a recent interview, Emily Conant, M.D., discussed findings from two studies presented at the European Congress of Radiology (ECR) conference that showed the potential impact of image-based AI risk models and breast arterial calcification detection in mammography screening.
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
In a recent interview, Abhinav K. Jha, Ph.D., discussed key challenges with the use of SPECT MRI and how an emerging deep learning model may facilitate attenuation compensation without the need for an additional computed tomography (CT) scan.
Can CT-Based AI Help Predict Renal Function Decline After Radioligand Therapy for mCRPC?
In patients who had at least four cycles of 177Lu-PSMA-I&T for mCRPC, new research shows that a 10 percent or greater decrease in total kidney volume on CT at six months has a 90 percent AUC for predicting estimated glomerular filtration rates (eGFRs) of 30 percent or greater at one year.
What New Lung MRI Research Reveals About Post-COVID-19 Conditions in Children and Adolescents
Adolescents with post-COVID-19 conditions had 37 percent lower quantified lung perfusion than healthy control participants on phase-resolved functional lung MRI, according to findings from a recent prospective study.
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
Study Explores Impact of Insurance on Treatment and Referrals for Patients with Uterine Fibroids
Women with uterine fibroids and Medicaid coverage are significantly more likely to be treated with uterine artery embolization than those with commercial insurance, according to newly published research.