RSNA

Can MRI-Based Prostate Cancer Screening be a Viable Alternative to PSA Testing?

December 01, 2022

In what may be the first study to assess the effectiveness of biparametric magnetic resonance imaging (MRI) for prostate cancer screening in a large cohort, researchers found that MRI screening had a significantly lower false positive rate and significantly higher positive predictive values (PPVs) than prostate-specific antigen (PSA)-based screening.

Can Emerging AI-Guided Software Rein in Scan Times for Cardiac MRI?

December 01, 2022

In a recent video interview, Raymond Y. Kwong, MD, discussed his clinical experience with the Vista.ai (formerly HeartVista) One Click MRI software and recent research, presented at the Radiological Society of North America (RSNA) conference, that revealed a 31 percent decrease in cardiac MRI scan times for patients with cardiomyopathy or structural heart disease.

AI Assessment of 3D Digital Breast Tomosynthesis Images May Help Predict Breast Cancer

November 30, 2022

An emerging artificial intelligence algorithm, developed to estimate volumetric breast density from 3D-reconstructed digital breast tomosynthesis images, could potentially facilitate individual risk assessments for breast cancer.

Can Ultra-Low-Dose CT be Effective for Lung Cancer Screening in Current or Past Smokers?

November 29, 2022

Ultra-low-dose computed tomography (ULDCT) may have similar efficacy as low-dose CT (LDCT) for detecting a variety of pulmonary conditions in people with current or past smoking histories, but had poor detection of ground glass opacification lesions, according to a recent prospective study presented at the Radiological Society of North America (RSNA) conference.

Enhancing MRI Efficiency and Quality: Can the New SIGNA Experience Have an Impact?

November 29, 2022

Recently launched at the Radiological Society of North America (RSNA) conference, the SIGNA Experience reportedly features synergistic technologies and artificial intelligence (AI) advances that help improve the efficiency and quality of magnetic resonance imaging.

Deep Learning Model Predicts 10-Year Cardiovascular Disease Risk from Chest X-Rays

November 29, 2022

Based on a single existing chest X-ray image, the deep learning model predicts future major adverse cardiovascular events with similar performance to an established risk scoring system and may help identify people for preventive use of statin medication.