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.
Study: AI Boosts Ultrasound AUC for Predicting Thyroid Malignancy Risk by 34 Percent Over TI-RADS
In a study involving assessment of over 1,000 thyroid nodules, researchers found the machine learning model led to substantial increases in sensitivity and specificity for estimating the risk of thyroid malignancy over traditional TI-RADS and guidelines from the American Thyroid Association.
Prostate MRI Study Examines Key Predictors of False-Negative and False-Positive Results
Researchers found that patients with high PSA density have more than double the risk of false-negative findings on prostate MRI and those with low PSA density are significantly less likely to have false-positive results.