November 20th 2024
While a large retrospective study found that interstitial lung abnormalities (ILAs) were evident on 1.7 percent of computed tomography (CT) scans, researchers found that 43.9 percent of ILAs, including fibrotic ILAs, were not reported.
Study Assesses Lung CT-Based AI Models for Predicting Interstitial Lung Abnormality
September 6th 2024A machine-learning-based model demonstrated an 87 percent area under the curve and a 90 percent specificity rate for predicting interstitial lung abnormality on CT scans, according to new research.
What a Prospective CT Study Reveals About Adjunctive AI for Triage of Intracranial Hemorrhages
September 4th 2024Adjunctive AI showed no difference in accuracy than unassisted radiologists for intracranial hemorrhage (ICH) detection and had a slightly longer mean report turnaround time for ICH-positive cases, according to newly published prospective research.
New Study Identifies Key Computed Tomography Findings for Post-Op Recurrence of Pancreatic Cancer
August 22nd 2024For patients who had post-op recurrence after a Whipple procedure for pancreatic ductal adenocarcinoma (PDAC), between 80 to 86 percent of follow-up CT exams revealed new or increased soft tissue.
FDA Clears Updated AI Software for CT-Based Coronary Artery Calcium Assessment
August 22nd 2024Key features of the HealthCCSng V2.0 software include numerical coronary artery calcium (CAC) scoring, a new zero CAC category and user customization of upper and lower limits for CAC scoring categories.
What New Research Reveals About Deep Learning and CT Angiography Detection of Cerebral Aneurysms
August 21st 2024Providing an 85.7 percent sensitivity rate for detecting cerebral aneurysms on computed tomography angiography (CTA), the deep learning model also offered a similar AUC (93 percent) in comparison to radiology reports (91 percent).
What a Meta-Analysis Reveals About Cone-Beam CT for Diagnosing Acute Intracranial Hemorrhage
August 16th 2024While cone-beam computed tomography (CBCT) demonstrated high pooled sensitivity and specificity rates for intraparenchymal hemorrhage in the systematic review, researchers noted higher false-negative rates for subarachnoid and intraventricular hemorrhages.
What New Computed Tomography Research Reveals About Predicting Diabetes and Cardiometabolic Risks
August 7th 2024Automated CT-derived assessments may provide stronger stratification of diabetes and cardiometabolic risks than conventional predictive models, according to a new study of over 32,000 adults in Korea.
CMS Approves NTAP Reimbursement for CT-Based AI Triage Software for Obstructive Hydrocephalus
August 2nd 2024The first radiology triage modality to garner a Breakthrough Device Designation from the FDA, Annalise-Obstructive Hydrocephalus has reported sensitivity and specificity rates of 97.5 percent and 95.3 percent respectively.
Current Concepts in Preventing and Managing Contrast Media Extravasation
August 1st 2024While contrast media extravasation is a rare complication, there can be varying degrees of severity. Accordingly, this author reviews possible causes of this complication, prevention principles and pertinent considerations in addressing this complication when it does occur.
Interventional Radiology-Led Study Shows Benefits of CT-Guided Cryoablation for Soft Tissue Sarcoma
August 1st 2024In a study involving 217 percutaneous cryoablation procedures for treating recurrent or metastatic soft tissue sarcoma in 141 patients, researchers noted an 86 percent rate of local progression-free survival and a 2 percent complication rate.
Study: Photon Counting CT Reduces Radiation Exposure by 44 Percent for Kidney Stone Detection
July 31st 2024New research shows that photon-counting computed tomography (PCCT) at an effective dose of 0.79 mSv provided significantly higher signal-to-noise ratios for urinary calculi (kidney stone) detection than energy-integrating detector CT at 1.39 mSv.
CT-Based Radiomic Model Shows Promise for Pre-Op Staging of Clear Cell Renal Cell Carcinoma
July 27th 2024An emerging diagnostic model incorporating radiomic features from intratumoral and peritumoral regions exhibited a 29 percent higher AUC and 77 percent higher sensitivity rate than a clinical model for predicting the grading of clear cell renal cell carcinoma, according to recent research.