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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.
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Seven Takeaways from Best Practice Recommendations for Incidental Radiology Findings in the ER
March 14th 2023Noting that computed tomography (CT) scans are obtained for more than 30 million emergency department (ED) patients annually and that 31.3 percent of ED CT scans reveal incidental findings, representatives from the American College of Radiology (ACR) and the American College of Emergency Physicians (ACEP) recently collaborated on best practice recommendations for addressing incidental imaging findings in EDs.
New Chest CT Study Assesses Impact of COVID-19 Variants and Vaccination Status
March 8th 2023Emerging research from a multicenter study found that COVID-19 vaccination was affiliated with a lower likelihood of high computed tomography (CT) severity scores and typical CT findings for COVID-19 in comparison to unvaccinated patients.
Should Dual-Source CT be the New Standard for ER CCTA Assessment of Acute Chest Pain?
March 3rd 2023Recently published research revealed that coronary computed tomography angiography (CCTA) exams performed with dual-source CT were completed 22 minutes faster and had a nearly 28 percent higher frequency of good or excellent image quality in comparison to CCTA exams performed with single-source CT devices.
Canon Medical Launches New CT and X-Ray Modalities at ECR 2023
March 2nd 2023The new launches include the 80/160-slice computed tomography (CT) scanner Aquilion Serve, which allows simultaneous previews of axial, lateral and AP views, and Celex, a multipurpose X-ray system that offers automated and customizable features to help maximize workflow efficiencies.
Cancer Screenings and COVID-19: What a New Study Shows
February 27th 2023New research from the American Cancer Society comparing pre-pandemic cancer screening prevalence to the second year of the COVID-19 pandemic in the United States showed a 1.1 million decrease in breast cancer screenings, a 4.4 million decrease in cervical cancer screening and a 600,000 decrease in prostate cancer screenings.
AI/CT Combination for Assessing Pulmonary Embolism Severity Gets FDA Nod
February 23rd 2023Facilitating expedited assessment of pulmonary embolism severity, the emerging artificial intelligence (AI) tool Rapid RV/LV reportedly calculates the right ventricle/left ventricle (RV/LV) ratio within minutes of a computed tomography pulmonary angiogram (CTPA).
Can a New AI Tool Improve Detection of Incidental Pulmonary Embolism on CT?
February 22nd 2023Noting that only 25 percent of incidental emboli are identified in reporting of initial computed tomography (CT) exams, Avicenna.AI said the artificial intelligence (AI)-enabled CINA-iPE is geared toward detecting incidental pulmonary embolism (PE) on chest CT scans.
Is Follow-Up Pelvic CT Coverage Necessary for Patients Treated for Hepatocellular Carcinoma?
February 22nd 2023Noting that pelvic coverage can increase radiation dosing for liver computed tomography (CT) by 29 to 39 percent, researchers found low three-year cumulative rates of incidental pelvic tumors and isolated pelvic metastasis in follow-up liver CT imaging of over 1,100 people treated for hepatocellular carcinoma.
How Accurate is the CT Severity Score for Predicting COVID-19 Severity?
February 17th 2023The computed tomography severity score (CTSS) has sensitivity rates of 85 percent for predicting the severity of COVID-19 and 77 percent for predicting COVID-19 related mortality, according to a newly published meta-analysis.
Could Photon Counting CT Supplant MRI for Imaging Assessment of Hepatic Steatosis?
February 16th 2023Preliminary research suggests no significant differences between photon-counting computed tomography (CT) and magnetic resonance imaging (MRI) in the quantification of liver fat fraction in obese patients.
CT Study Reveals Persistent Lung Abnormalities Two Years After COVID-19
February 15th 2023In their review of follow-up chest computed tomography (CT) scans, researchers from Wuhan, China found that nearly 40 percent of patients had interstitial lung abnormalities two years after having COVID-19.
Can an Emerging Radiomics Model Improve CT Angiography Assessment of Heart Attack Risk?
February 14th 2023Derived from coronary computed tomography angiography (CCTA) images, a radiomics model demonstrated a 75 percent or greater area under the curve (AUC) in multiple test sets for identifying vulnerable plaque.
Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays
February 7th 2023In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Could Photon Counting Reduce Iodinated Contrast Media for CT Angiography?
January 27th 2023Preliminary research suggests the use of photon-counting detector computed tomography (CT) may facilitate a 25 percent reduction of iodinated contrast media (ICM) in comparison to energy-integrating detector CT for angiographic imaging of the thoracoabdominal aorta.
Could an Emerging Deep Learning Modality Enhance CCTA Assessment of Coronary Artery Disease?
January 26th 2023Employing deep learning capabilities, the DeepVessel FFR reportedly provides enhanced non-invasive evaluation of coronary arteries through semi-automated analysis of coronary computed tomography angiography (CCTA) imaging.
Deep Learning Model May Predict Lung Cancer Risk from a Single CT Scan
January 23rd 2023Trained and developed on over 35,000 low-dose computed tomography (LDCT) scans and validated in three independent data sets, a deep learning algorithm demonstrated an average area under the curve (AUC) of 90.6 percent for predicting lung cancer within one year.
