Jeff Hall

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.

Researchers found that a positive target of MRI led to a threefold increased risk for Gleason Grading Group (GGG) upgrading after radical prostatectomy in patients with low prostate cancer risk.

For patients with suspected interstitial lung disease, the digital biomarker solution Fibresolve offers machine learning capability of diagnosing idiopathic pulmonary fibrosis (IPF) based on assessment of lung computed tomography (CT) scans.

Utilized for neurological procedures including biopsies, catheter placement and electrode introduction, the SmartFrame OR Stereotactic System can be combined with preoperative MRI or CT to ensure optimal placement of devices and instruments.

For women with dense breasts, abbreviated breast MRI and digital breast tomosynthesis (DBT) both offered greater than 98 percent sensitivity rates and greater than 94 percent negative predictive values (NPVs) for breast cancer detection, according to newly published research.

Featuring a lightweight body contouring design, the Small Body Array reportedly facilitates optimal signal-to-noise ratio (SNR) and between 10 and 40 percent faster throughput.

Patients with benign pulmonary absorbable subsolid nodules (AB-SSNs) have a greater frequency of nodules in comparison to those with non-absorbable benign subsolid nodules (NB-SSNs) and patients with malignant subsolid nodules (M-SSNs), according to a recent study of follow-up non-contrast CT exams in over 400 patients.

Utilizing brain MRI and cognitive assessments, the newly FDA-approved, AI-powered software platform BrainSee can reportedly predict the progression of amnestic mild cognitive impairment (aMCI) to Alzheimer’s dementia within five years.

Noting the challenges with angiography in the imaging of lower extremity revascularization, a panel of interventional radiologists, interventional cardiologists and vascular surgeons discussed emerging evidence that supports the use of intravascular ultrasound in facilitating improved outcomes in this high-risk patient population.

In addition to high-quality X-ray and fluoroscopic images, the DRX-Excel Plus X-ray System provides automated filter selection, grid parking and positioning of table axes.

In part of an ongoing multicenter study evaluating commercial artificial intelligence (AI) products in radiology, AI lung nodule detection software from four out of seven vendors demonstrated stand-alone AUCs ranging from 5 to 12 percent higher than the mean AUC of 17 reviewing radiologists.

Offering enhanced utility for assessing urinary incontinence, bladder emptying and urinary retention, the Clarius Bladder AI ultrasound software reportedly provides bladder volume measurement in seconds.

Tailored for incidental findings on chest radiographs, the qXR for Lung Nodule (qXR-LN) software utilizes artificial intelligence (AI) to help detect suspected pulmonary nodules ranging between 6 to 30 mm.

A model that combines multiparametric MRI findings with clinical factors may enhance the accuracy of predicting clinically significant prostate cancer and significantly reduce unnecessary systematic prostate biopsies in biopsy-naïve patients.

Modifications to the radiology workflow, including the use of a structured report template, improved adherence for 30-minute turnaround times for acute stroke head CT results from 73.2 percent to 95.6 percent, accordingly to new research.

The BioTraceIO software reportedly facilitates visualization of liver tumor ablation procedures based on real-time ultrasound imaging and provides superior post-op estimates of ablation zone volume in comparison to computed tomography.

In a recent proof-of-concept trial assessing the combination of aducanumab infusion with MRI-guided focused ultrasound to open the blood-brain barrier, researchers found significant reductions in amyloid-beta load at 26 weeks in patients with Alzheimer’s disease.

At an amplitude of 200 mT/m and a slew rate of 200 T/m/s, the gradients for the FDA-cleared MAGNETOM Cima.X are reportedly the strongest for currently available whole-body MRI scanners.

The EndoSound Vision System reportedly enables providers to convert existing upper gastrointestinal endoscopes into endoscopic ultrasound modalities.

An emerging deep learning model, which incorporates T2-weighted MRI and clinical data, demonstrated an 83.9 percent AUC and an 85 percent specificity rate for preoperative prediction of tumor deposits in patients with rectal cancer.

The presence of pericardial effusion on chest computed tomography (CT) was associated with a 56 percent higher 30-day mortality risk in men with COVID-19 but had no impact on the prognosis for women with COVID-19, according to newly published research.

In a study assessing the use of a genetic risk stratification model to estimate breast cancer risk in over 25,000 women, researchers found that 0.69 percent of women at low genetic risk were diagnosed with breast cancer by the age of 45 and 1.41 percent of this group were diagnosed by the age of 58.

New research shows that higher total lesion volume in the brain for former football players is directly associated with higher vascular risks and changes in white matter hyperintensity-associated biomarkers of Alzheimer’s disease.

In a study of over 30,000 screening digital breast tomosynthesis (DBT) exams for over 8,000 women, researchers found a specificity rate of 95.1 percent, a false negative rate of 2.1 (per 1,000 exams) and an abnormal interpretation rate (AIR) of 5.7 percent.

In a study examining the potential of the large language models ChatGPT-4 and Bard to follow ACR Appropriateness Criteria for breast cancer, lung cancer, ovarian cancer and colorectal cancer screening, researchers noted “impressive accuracy in making radiologic clinical decisions.”

In addition to offering a 98.5 percent sensitivity rate in diagnosing fractures on X-ray, an emerging artificial intelligence (AI) software reportedly helped reduce mean turnaround time on X-ray fracture diagnosis from 48 hours to 8.3 hours, according to new research presented at the Radiological Society of North America (RSNA) conference.

Contrast-enhanced mammography had a 98 percent sensitivity rate for diagnosing invasive lobular carcinoma and provided high conspicuity for 82 percent of detected lesions, according to research presented at the recent Radiological Society of North America (RSNA) conference.

In one of the study periods from recently published research on rectal MRI acquisition, researchers found that 39.7 percent of rectal MRI exams adhered to guidelines from the Society of Abdominal Radiology (SAR) and only 6.8 percent followed guidelines from the European Society of Gastrointestinal and Abdominal Radiology (ESGAR).