Ultra-high spatial resolution with photon-counting CT facilitated a 33 percent reduction in the assessment of median total plaque volume and a 45 percent higher inter-reader agreement for evaluation of low-attenuation plaque volume in contrast to energy-integrating detector (EID) CT.
Is MRI Contrast Enhancement Necessary for Long-Term Monitoring of Diffuse Glioma?
In a comparison of contrast-enhanced T1-weighted (CET1w) MRI (and T2-weighted MRI/FLAIR imaging, researchers found that only three out of 82 cases of glioma progression were solely detected with CET1w MRI.
Can Deep Learning Ultra-Fast bpMRI Have an Impact in Prostate Cancer Imaging?
A deep learning-enhanced ultra-fast bpMRI protocol offered similar sensitivity for csPCa as mpMRI with an 80 percent reduction in scan time, according to research findings presented at the European Congress of Radiology (ECR) conference.
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.