Can AI Enhance MRI Detection of Amyloid-Related Abnormalities in Patients with Alzheimer's Disease?
The adjunctive use of AI software led to 16 percent and 10 percent increases in sensitivity rates for the detection of ARIA-E and ARIA-H, respectively, in patients with Alzheimer’s disease, according to newly published research.
FDA Clears AI Software for Liver Attenuation on Abdominal CT
The AI-enabled HealthFLD software demonstrated a 77.8 percent sensitivity rate and a 93.2 percent specificity rate for diagnosing moderate hepatic steatosis on contrast-enhanced CT scans in a recent study of over 2,900 patients.
Assessing the Potential of Positron Emission Mammography: An Interview with Vivianne Freitas, MD
In a recent interview, Vivianne Freitas, M.D., discussed new research findings on positron emission mammography (PEM), pertinent benefits of the technology and its potential as a viable alternative in the future to conventional imaging techniques for breast cancer screening.
FDA Clears AI Software for Assessing Intracerebral Hemorrhage on Non-Contrast CT
Facilitating timely diagnosis and intervention for brain bleeds, the artificial intelligence (AI)-powered Viz ICH Plus software may provide quantified assessment for intracranial hyperdensities, lateral ventricles and midline shifts.
Can Positron Emission Mammography Have an Impact in Diagnosing Invasive Breast Cancer?
Findings from a new pilot study showed that low-dose positron emission mammography (PEM) detected 96 percent of malignant index lesions and had a 46 percent lower false-positive rate in comparison to breast MRI.
Can Multimodality AI Enhance CT Detection of Medium Vessel Occlusions?
The use of multiple artificial intelligence (AI) modalities to assess blood vessel density reduction and computed tomography perfusion (CTP) mismatch values facilitated a 93.3 percent detection rate for medium vessel occlusions, according to research presented recently at the International Stroke Conference.
What Emerging CT Research Reveals About Pure Ground Glass Nodules
In a computed tomography (CT) study assessing over 450 patients who had lung adenocarcinoma resection, researchers noted zero recurrence at five years and 97.7 percent recurrence-free survival at seven years for patients with resected pure ground glass nodules.
New Research Assesses Key CT Signs for Predicting Bowel Necrosis
Demonstrating an 81 percent AUC, 99 percent specificity and a 98 percent positive predictive value, increased attenuation of intestinal contents was one of four CT findings deemed to be an independent predictive factor for bowel necrosis in patients with closed-loop small bowel obstruction.
Radiology Residency Applicant Study Shows Significant Gender Gap
The proportion of women applying to radiology residency programs was nearly 21 percent lower than the proportion of women applying to other residency programs, according to a review of 10 years of residency program data from 2013 to 2022.
Adjunctive AI Powered Tool for Tuberculosis Detection Gets FDA's Breakthrough Device Designation
With reported increases in tuberculosis cases after the COVID-19 pandemic, the qSpot-TB adjunctive artificial intelligence (AI) device may facilitate improved diagnosis of the disease on chest X-rays.
Photon Counting CT May Facilitate Earlier Diagnosis of Spontaneous Intracranial Hypotension
In a comparative study of energy-integrating detector CT myelography versus photon-counting detector CT (PCD-CT) myelography for the detection of cerebrospinal fluid-venous fistulas (CVFs) in cases of spontaneous intracranial hypotension, PCD-CT myelography demonstrated 10 to 19 percent higher sensitivity rates with reviewing radiologists.
MRI Study Reveals Significant Brain Changes in Adolescent Football Players
In contrast to high-school athletes from non-contact sports, adolescent football players had a variety of brain changes, including numerous areas of cortical thinning, increased sulcal depth and decreased coherence of neural signals in the frontal and medial regions, according to newly published magnetic resonance imaging (MRI) research.