Combining advanced volumetric imaging technology with deep learning, the Genius Digital Diagnostics System has reportedly shown a 28 percent reduction in false negatives for high-grade squamous intraepithelial lesions and other severe lesions in comparison to microscopic review.

In a recent interview, Markus Scherer, M.D., discussed emerging research, presented at the American College of Cardiology Cardiovascular Summit, which showed that coronary computed tomography angiography (CTA) was associated with a significantly higher likelihood of revascularization in comparison to other modalities or direct referral for invasive coronary angiography.

Researchers found the use of deep learning reconstruction for computed tomography colonography (CTC) led to 25 percent higher subjective image quality scoring than iterative image reconstruction at a substantially reduced rate of radiation dosing.

Catch up on the most-well viewed radiology content in January 2024.

Reportedly providing enhanced imaging of structural heart disease, the minimally invasive X11 4t Mini 3D TEE ultrasound transducer facilitates use of the technology in smaller pediatric patients as well as high-risk ICU patients.

Employing reconstructed radiographs from 3D hip CT scans, a deep learning model demonstrated a higher concordance index (C index) and higher two- and three-year AUCs than multiple imaging models and three clinical models for predicting subsequent fracture risk in patients with hip fractures.

A multivariable model that includes mpMRI and blood testing assessment of prostate extracellular vesicles had a significantly higher AUC and sensitivity rate than mpMRI alone for predicting clinically significant prostate cancer, according to research presented at the American Society of Clinical Oncology Genitourinary Cancers Symposium (ASCO-GU).

Is it time to rethink the burden of applicant fees, credentialing costs and medical staff dues?

Catch up on the top radiology content of the past week.

Patients with localized high-risk prostate cancer and midline radiotracer activity in the prostate had over double the incidence of urethral hyperintensity on T2W MRI, according to research presented at the American Society of Clinical Oncology (ASCO) Genitourinary Cancers Symposium (ASCO-GU).

Catch up on the top AI-related news and research in radiology over the past month.

In a recent interview, Eric Secemsky, M.D., discussed an array of benefits for the use of intravascular ultrasound (IVUS) in supplementing angiography for peripheral vascular interventions, current barriers preventing more widespread adoption of the technology and other salient insights from a recent multidisciplinary roundtable discussion.

For patients with recurrent prostate cancer, PET scanning with 18F-flotufolastat led to major changes in treatment for 80 percent of patients and 75 percent of patients with a changed treatment focus to watchful waiting had negative scans, according to new research presented at the American Society of Clinical Oncology (ASCO) Genitourinary Cancers Symposium (ASCO-GU).

Researchers found that several measurements of background parenchymal enhancement (BPE) on dynamic contrast-enhanced MRI were linked to a 27 to 66 percent higher risk of breast cancer recurrence.

The syngo Virtual Cockpit platform reportedly enables remote access and image acquisition for CT, MRI and positron emission tomography (PET), and facilitates clinician collaboration across multiple sites.

In a nearly two-year study of over 300,000 CT exams, researchers noted a 56.8 percent increase in the frequency of automated CT protocols for outpatient CT examinations.

The new Category I CPT code reportedly facilitates a nearly 7 percent increase in reimbursement for use of the CT-based fractional flow reserve assessment of coronary blood flow.

In a recently issued statement from multiple radiology societies including the RSNA and ACR, researchers offer practical advice for evaluating artificial intelligence (AI) tools, implementing AI into current workflows and monitoring of the technology to help ensure optimal benefit and effectiveness.

Reportedly offering improved delineation of pulmonary structures and greater accuracy with computed tomography (CT) values of pulmonary tissue, the artificial intelligence (AI)-powered LungQ 3.0.0. may facilitate enhanced precision and efficiency with interventional procedures such as lung volume reduction and ablation procedures.