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The PET radiotracer 18F-PSMA-1007 facilitated detection of at least one suspicious lesion for metastasis in nearly half of a cohort of 160 patients with prostate cancer, according to research presented recently at the Society for Nuclear Medicine and Molecular Imaging (SNMMI) conference.

In what may represent the first CMS approval of a new technology add-on payment (NTAP) for an artificial intelligence (AI)-based heart failure detection platform, use of the EchoGo Heart Failure system will be eligible for up to $1,023.75 in NTAP reimbursement per acute hospital in-patient stay as of October 1, 2023.

Emerging research suggests that achieving an optimal virtual monoenergetic image (VMI) energy level with photon-counting computed tomography (CT) may allow up to a 40 percent reduction of contrast media dosing for coronary CT angiography.

With reported performance validation on over 17,000 ultrasound images, Sonio Detect employs artificial intelligence (AI) to help ensure quality criteria for fetal ultrasound imaging of the brain and heart.

Reportedly the first randomized trial to examine the impact of artificial intelligence (AI) on screening mammography, researchers found AI-aided screening led to a 20 percent increase in breast cancer detection and a 44.3 percent decrease in mammography screening workload.

Catch up on the top AI-related news and research from the past month.

Review the case study and test your knowledge to make the correct diagnosis.

What do you do with a CD of imaging that has no information on the doc requesting the radiologist read?

Through automated processing of diffusion-weighted magnetic resonance imaging (MRI) scans, the Advanced Neuro Diagnostic Imaging (ANDI) software performs detailed analysis of white matter microstructure.

Full Brain Solution is reportedly the only artificial intelligence (AI)-enabled software that facilitates detection of medium vessel occlusions (MeVOs) as well as anterior and posterior large vessel occlusions (LVOs) on computed tomography (CT) exams.

Catch up on the most viewed content at Diagnostic imaging in July 2023.

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

In a study of over 1.300 women with dense breasts, the combination of mammography and ultrasound had a recall rate of 11.7 percent, a specificity rate of 89.1 percent and an accuracy rate of 89.2 percent in comparison to a 21.4 percent recall rate, 79.4 percent specificity and 79.5 percent accuracy for the combination of mammography, ultrasound, and artificial intelligence (AI).

Indicated for use in two-dimensional transthoracic echocardiography (2D-TTE) in adults, the AI Guidance software reportedly enables novice ultrasound users to obtain real-time cardiac imaging at the point of care.

In a study of 601 patients with prostate cancer, researchers found that only one patient with extensive metastasis was falsely diagnosed as non-metastatic on whole-body, low-dose computed tomography (CT) by reviewing radiologists.

In a dataset enriched for African American women, BRCA mutation carriers and those with benign breast disease, a mammography-based deep learning model demonstrated a five-year AUC of 63 percent for predicting breast cancer in comparison to 54 percent for BI-RADS assessment.

Catch up on emerging research findings presented at the Society for Nuclear Medicine and Molecular Imaging (SNMMI) 2023 conference.

In a study of over 20,700 people, researchers found that artificial intelligence (AI) analysis of body composition measurements via lung cancer screening computed tomography (CT) exams improves the prediction of mortality risks for lung cancer, cardiovascular disease, and all-cause mortality.

Noting that the Medicare conversion factor in 2024 could be lower than the rate in 1993, this author discusses three key issues that need to be addressed by government leaders in order to ensure equitable Medicare reimbursement for radiologists and other physicians.

Review the case study and test your knowledge to make the correct diagnosis.

A newly published review of 29 prospective studies revealed the use of MRI-guided daily adaptive SBRT in the management of prostate cancer was associated with significantly lower risks of acute grade 2 or higher genitourinary (GU) and gastrointestinal (GI) toxicities in comparison to CT-guided non-adaptive SBRT.

The newly FDA-cleared Fibroid Mapping Reviewer Application, which allows the creation of 3D uterus models from ultrasound images, reportedly facilitates diagnosis and interventional procedures for patients with uterine fibroids.

Addressing ancillary repetitious inhibitors to radiology workflow could go a long way to mitigating burnout risk.

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

In a study of nearly 2,500 patients with incidental pulmonary nodules (IPN) on chest computed tomography (CT) exams, 69.5 percent of those in the highest quartile of the CDC’s Social Vulnerability Index (SVI) had inappropriate IPN follow-up in comparison to 54.3 percent of those in the lowest quartile of the CDC SVI.

In a video interview, Jacob Dubroff, M.D., Ph.D., discussed the potential impact of the recent CMS proposal to rein in Medicare coverage restrictions on the use of amyloid positron emission tomography (PET) for patients with Alzheimer’s disease.

Newly published research suggests the use of gadopiclenol at 0.05 mmol/kg is non-inferior to gadobutrol 0.1 mmol/kg for all qualitative visualization parameters on full-body magnetic resonance imaging (MRI).

An artificial intelligence model, trained on MRI and FLAIR imaging from over 900 patients with multiple sclerosis, demonstrated a 96 percent accuracy rate and 99 percent specificity rate for contrast-enhancing lesions in this patient population.