Catch up on the most viewed content at Diagnostic imaging in July 2023.
Our top five content in July ranged from a breakdown of new research about the rise of non-physician practitioner (NPP) imaging interpretation to our coverage of the SNMMI 2023 conference, including research about the use of an emerging PET radiotracer to detect coronary artery disease in obese patients and the promise of ultra-high resolution (UHR) brain PET. Review the slideshow below to see this month's top content.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
Can AI Facilitate Single-Phase CT Acquisition for COPD Diagnosis and Staging?
December 12th 2024The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Can MRI-Based AI Bolster Biopsy Decision-Making in PI-RADS 3 Cases?
December 9th 2024In patients with PI-RADS 3 lesion assessments, the combination of AI and prostate-specific antigen density (PSAD) level achieved a 78 percent sensitivity and 93 percent negative predictive value for clinically significant prostate cancer (csPCa), according to research presented at the Radiological Society of North American (RSNA) conference.
Assessing MACE Risk in Women: Can an Emerging Model with SPECT MPI Imaging Have an Impact?
December 9th 2024In research involving over 2,200 women who had SPECT MPI exams, researchers found that those who had a high score with the COronary Risk Score in WOmen (CORSWO) model had a greater than fourfold higher risk of major adverse coronary events (MACE).