Noting an average processing time of 24 seconds for deep learning detection of acute ischemic stroke on brain MRI, the authors of a new study said deep learning assessment of DWI and FLAIR sequences had equivalent sensitivity and AUROC to T2WI MRI.

Adjusting one’s goals to varying conditions along the way may facilitate optimal satisfaction and enjoyment of the journey.

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

Initial detection of metastatic prostate cancer via 68Ga-PSMA-11 PET/CT was significantly associated with PSA values > 20 ng/ml, ISUP grade > 3 and MRI T-stage > 3, according to research presented recently at the SNMMI conference.

F18-choline PET/CT imaging guidance for minimally invasive parathyroidectomy (MIP) procedures led to a 29 percent higher percentage of normocalcemia at one month post-op in comparison to imaging guidance with Tc99m-sestaMIBI (MIBI) SPECT/CT, according to new research.

Artificial intelligence facilitated a 96.2 percent sensitivity rate for incidental pulmonary embolism (IPE) on contrast-enhanced CT chest or abdomen exams, according to new prospective research involving over 4,300 patients.

Targeting improvements in workflow, patient consent protocols and adherence to scheduled exam times, researchers noted significant reductions in 15-minute and 30-minute delays with MRI exams for patients who required sedation or general anesthesia.

Emerging research suggests that combining full-field digital mammography and whole-breast ultrasound tomography provides superior sensitivity in detecting BI-RADS 4 lesions and superior specificity in diagnosing BI-RADS 3 lesions than mammography alone in women with dense breasts.

In comparison to radiologists, new MRI research shows an emerging artificial intelligence (AI) model demonstrated a higher AUROC and a 14.8 percent higher positive predictive value for detecting prostate cancer at a mean PI-RADS 3 or greater operating point.

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

Offering a combination of intuitive user-friendly controls and enhanced imaging, the Zenition 90 Motorized C-arm reportedly facilitates workflow efficiencies and bolsters visualization for complex vascular procedures, cardiac interventions, and other clinical procedures.

To keep or not keep boxes from teleradiology workstations handy may boil down to an emphasis on convenience over clutter.

Employing a cut-off of Node-RADS > 2 for differentiating malignant lymph nodes with breast MRI in women with breast cancer, researchers noted average sensitivity and specificity rates of 91.5 percent and 87.4 percent respectively.

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

In validation testing with 205 18F florbetapir PET scans from 95 patients with Alzheimer’s disease, a deep learning model demonstrated a 93.2 percent accuracy rate and a 97 percent AUC for detecting amyloid-β positivity.

Artificial intelligence (AI) assisted contouring of prostate cancer demonstrated superior balanced accuracy than manual standard-of-care contouring and hemigland contouring with MRI, according to a new study.

In a recent interview at the SNMMI conference, David Gauden, D.Phil, discussed key findings from new research evaluating the use of the PET radiotracer 18F-flotufolastat in patients with primary prostate cancer (PCa) and men with biochemical recurrence of PCa.

The AI-enabled CINA-VCF algorithm can reportedly detect vertebral compression fractures within seconds after assessment of chest or abdominal CT scans.

Improved assessment of axillary lymph node status with FAPI PET/CT led to restaging of nearly 71 percent of patients with breast cancer, according to new research presented at the SNMMI 2024 conference.

Ultra-low dosing with long axial field-of-view positron emission tomography (PET) scanners facilitates qualitative PET imaging at a more than 50 percent reduction of conventional radiation dosing with PET, according to new research presented at the SNMMI 2024 conference.