Jeff Hall

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.

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.

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.

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.

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.

Deep transfer learning may elevate the capability of whole-body PET/CT scans to diagnose multiple cancers, ranging from breast cancer and lung cancer to melanoma and prostate cancer, according to new research presented at the SNMMI conference.

In an interview at the SNMMI 2024 conference, Oliver Sartor, M.D. discussed key findings from new award-winning research evaluating the potential of Pluvicto in treating patients with taxane-naïve metastatic castration-resistant prostate cancer (mCRPC).

In a cohort of 85 patients with biomechanical recurrence of prostate cancer and PSA values less than 2 ng/mL, positive findings on PET imaging with PSMA-18F DCFPyL led to treatment changes in the majority of patients who had negative findings on conventional imaging, according to new research presented at the SNMMI conference.

Emphasizing enhanced time-of-flight performance and an energy-efficient design, the Biograph Trinion PET/CT system can reportedly be utilized for a variety of imaging needs, ranging from theranostic applications to neurology imaging.

In a recent interview, Cathy Cutler, Ph.D., shared her perspective on a number of topics affecting nuclear medicine, ranging from isotope availability and reimbursement challenges for diagnostic radiopharmaceuticals to increasing patient interest in PET imaging.

For patients with interstitial lung disease, FAPI PET/CT was more effective than 18F-FDG PET/CT at predicting progressive pulmonary fibrosis according to comparative study findings presented at the 2024 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting.

The use of 90Y-FAPI-46 radioligand therapy resulted in controlled disease progression in nearly half of a 30-person cohort largely comprised of patients with advanced sarcomas, according to new research presented at the 2024 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting.

In addition to new advances in PET/CT imaging to facilitate precision imaging, the company will also unveil a device at the SNMMI conference that allows in-house production of commercial PET tracers.

Facilitating additional consultation on chest and abdominal CT scans, the Second Opinions teleradiology platform now features FDA-cleared AI tools for cardiac, bone and liver assessments.

In a study of asymptomatic women at elevated risk for breast cancer, digital breast tomosynthesis (DBT) demonstrated equivalent sensitivity to full-field digital mammography (FFDM) for three out of four reviewing radiologists and detected no additional cancers beyond those detected with FFDM.

There was over a 31 percent decline in radiology-only practices and over a 25 percent decrease of practices employing 10-24 radiologists, according to new research examining consolidation trends in radiology from 2014 to 2023.

Offering comparable sensitivity to radiologists for detecting contralateral breast cancer on mammography images, an emerging adjunctive AI software may also facilitate earlier diagnosis, according to study findings presented at the at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting.

In a retrospective study involving nearly 119,000 women, researchers found that implementation of AI into mammography screening increased the positive predictive value by 11 percent, increased small cancer detection by 8.3 percent and reduced reading workload by approximately 33 percent.

Featuring a combination of automated measurement capabilities and workflow enhancements, the new AI-powered cardiovascular ultrasound platform also provides automated assessment of regional wall motion abnormalities.

An AI algorithm that incorporates scoring of coronary inflammation based on coronary CT angiography (CCTA) may enhance long-term cardiovascular risk stratification beyond conventional risk factor and imaging assessments, even in patients without obstructive CAD.