Jeff Hall

In a recent lecture at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting, Andrew Callen, M.D., discussed a variety of imaging features associated with cerebrospinal fluid (CSF) leaks, the diagnostic utility of the Bern score as well as the merits of 3D T2FS MRI and dynamic computed tomography myelography.

Earlier initiation of imaging after contrast administration with contrast-enhanced mammography may provide better visibility of lesions and conspicuity against background parenchymal enhancement, according to new research presented at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.

Powered by artificial intelligence (AI), the Rapid NCCT Stroke modality is reportedly the first medical device to gain FDA 510(k) clearance for detecting suspected large vessel occlusion and intracranial hemorrhage based on assessment of non-contrast computed tomography (NCCT).

Given the increasing prevalence of breast reconstruction, researchers discussed key signs of common complications on magnetic resonance imaging (MRI), ultrasound and other imaging during a recent presentation at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.

Three-dimensional (3D) slice-to-volume (SVR) fetal magnetic resonance imaging (MRI) has over six times the fetal optic pathway visualization rate of standard two-dimensional MRI, according to new research presented at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.

Recent research involving nearly 15,000 mammography exams in patients with a personal history of breast cancer revealed that digital breast tomosynthesis (DBT) was associated with a lower frequency of BI-RADS category 3 assessment and a lower malignancy rate for BI-RADS 3 lesions in comparison to full-field digital mammography.

Over the course of a decade, people with preexisting emphysema who continued smoking had the greatest decline in lung density, according to computed tomography (CT) findings from a study involving over 8,400 total participants and over 4,100 current smokers.

In addition to a previously FDA-cleared brain magnetic resonance imaging (MRI) module, the Advantis Platform features an artificial intelligence-powered prostate MRI module that offers simultaneous viewing of conventional and advanced sequences, and reportedly generates automated PI-RADS assessments.

In a study of over 1,200 men with over 3,200 prostatic lesions, an explainable artificial intelligence (AI) model demonstrated a sensitivity rate of 93 percent for detecting clinically significant prostate cancer.

The artificial intelligence (AI) triage and notification indications include acute subdural/epidural hematoma and acute subarachnoid hemorrhage for head computed tomography (CT) imaging.

The BD Prevue™ II Peripheral Vascular Access System reportedly offers real-time needle depth markers that may reduce multiple needlestick attempts and allow easier placement of intravenous (IV) access in high-risk patients.

New prospective research demonstrated that the combination of ultra-low-dose (ULD) computed tomography (CT) and an artificial intelligence (AI)-based denoising method offered a greater than 95 percent sensitivity rate for differentiating negative and actionable Lung-RADS category findings with significantly reduced radiation dosing.

A recent prospective study found that progression-free survival (PFS) and disease-specific survival (DSS) were significantly associated with breast cancer tumor treatment response on 2-(18F)FDG-PET/CT imaging in comparison to contrast-enhanced computed tomography (CT), which showed no evidence of a significant association with tumor response.

A recent study showed that artificial intelligence (AI)-based worklist reprioritization led to a mean reduction of 12.3 minutes in radiology report turnaround time for positive computed tomography pulmonary angiography (CTPA) exams that were positive for pulmonary embolism.

Emerging research suggests that 29 percent of patients with index breast magnetic resonance imaging (MRI) exams, 45 percent of Asian women and 30 percent of women living in the highest disadvantaged neighborhoods did not have follow-up imaging after a BI-RADS 3 diagnosis.

Based on a review of 3,495 echocardiographic studies to evaluate left ventricular ejection fraction (LVEF), researchers found that cardiologists changed initial artificial intelligence (AI) assessment 16.8 percent of the time and initial sonographer assessment 27.2 percent of the time.

Researchers found that ChatGPT offered appropriate responses to 22 out of 25 patient-oriented questions on mammography screening, dense breasts, BI-RADS scoring and other topics related to breast cancer screening and prevention.

Offering built-in safety features and independent verification of magnetic resonance imaging (MRI) compatibility with cardiac devices such as pacemakers or implantable cardioverter defibrillator systems, the MRI Care Pathway app may enhance the efficiency of radiology workflows for MRI scans in patients with these devices.

The artificial intelligence (AI) powered Auto B-line Counter, which reportedly produces a B-line count from a six-second ultrasound clip, may facilitate more expedient and consistent assessment of abnormal lung function.

Emerging research shows the adjunctive use of automated breast ultrasound with mammography has similar sensitivity for breast cancer detection as adjunctive handheld ultrasound but may offer reduced false-positive rates in women with dense breasts.

A new study shows that active surveillance and watchful waiting are being utilized in nearly 60 percent of patients with low-risk prostate cancer in the United States.

Researchers found that higher shift volumes, longer imaging interpretation times and weekend work were significantly associated with increased errors in neuroradiology.

Consensus recommendations from the Society for Cardiovascular Magnetic Resonance provide pertinent insights on the unique abilities of cardiac magnetic resonance imaging (MRI) to provide optimal characterization of myocardial tissue and diagnosis of COVID-19-related myocardial injuries.

A retrospective review of insurance claim data from over one million people eligible for lung cancer screening with low-dose computed tomography (LDCT) found that less than five percent were screened.

Smart-CKD, an ultrasound-derived, computer-aided diagnosis (CAD) tool, demonstrated an area under the curve of 81 percent and an 83 percent sensitivity rate in a validation cohort for differentiating between mild and moderate to severe fibrosis in patients with chronic kidney disease.

In the study of 119 patients who had endovascular treatment for intracranial atherosclerotic stenosis, multivariable analysis revealed that post-op ischemic brain lesions on diffusion-weighted magnetic resonance imaging (MRI) were 3.6 times more likely to occur in patients who smoke cigarettes and 2.9 times more likely in patients who had multiple operative attempts.

In a recent study of a deep learning software in patients with suspected prostate cancer, researchers noted no difference in the detection of clinically significant prostate cancer nor PI-RADS scoring consistency.

In a study of over 1,000 patients who had surgery for invasive lung adenocarcinoma, researchers found that solid adenocarcinoma on pre-op CT imaging was associated with more than double the risks of recurrence and brain metastasis in patients with clinical stage I disease in comparison to ground-glass opacity (GGO) adenocarcinoma.

In a recent video interview, Kathy Schilling, M.D., discussed findings from a study of ProFound AI, an adjunctive artificial intelligence (AI) software for digital breast tomosynthesis (DBT), that demonstrated a 23 percent increase in breast cancer detection in comparison to DBT alone.

In recent video interviews, Tessa Cook, MD, PhD, Nina Kottler, MD, MS, and Sonia Gupta, MD shared their insights and perspective on potential benefits and drawbacks of ChatGPT in radiology.