CAT scans - Strategic Insights Report

CAT scans

Dynamic Computed Tomography Enables In Vivo Assessment of Patellofemoral and Tibiofemoral Kinematics Before and After Total Knee Arthroplasty

Investigators at Radboud University Nijmegen Medical Center in Nijmegen, Netherlands, have developed and evaluated a dynamic computed tomography (CT) protocol for assessing patellofemoral (PF) and tibiofemoral (TF) kinematics before and after total knee arthroplasty (TKA). The research, supported by Smith and Nephew, aimed to quantify postoperative kinematic changes in a

CAT scans

Long-Term Prognostic Value of Myocardial Jeopardy Score in Predicting Heart Attack Outcomes

A recent study published in The International Journal of Cardiovascular Imaging has shed light on the long-term clinical impact of the British Cardiovascular Intervention Society Jeopardy Score (BCIS-JS) in assessing extensive coronary artery disease. The study, conducted at University Hospital Zurich, utilized a retrospective single-center approach to evaluate the prognostic

CAT scans

Willingness to Adopt CT-FFR in Coronary Artery Disease Diagnosis: A Cross-Sectional Study

A recent study conducted by researchers from Tianjin Medical University General Hospital has shed light on the willingness of cardiologists and radiologists to adopt computed tomography-derived fractional flow reserve (CT-FFR) for the diagnosis of coronary artery disease. The study, published in the Global Heart journal, aimed to quantify professional attitudes

Algorithms

Metal Artifact Reduction in Computed Tomography Imaging

Researchers from GE HealthCare Technology & Innovation Center have developed a new framework for simulating metal artifacts in computed tomography (CT) imaging, which could improve the accuracy of metal artifact reduction (MAR) algorithms. The new framework, called a hybrid training database and evaluation benchmark, is designed to provide a comprehensive

Coronary heart disease

Vascular Inflammation Plays Critical Role in Coronary Artery Disease Development

Researchers at the University of Oxford have highlighted the significance of vascular inflammation in the development of coronary artery disease (CAD). Using the perivascular fat attenuation index (FAI) Score from coronary computed tomography angiography (CCTA), researchers found that measuring coronary inflammation could provide unique prognostic information and guide clinical management

Coronary heart disease

Artificial Intelligence Improves Coronary Artery Disease Detection

Artificial intelligence (AI) has the potential to revolutionize the detection of coronary artery disease (CAD) by significantly improving interreader agreement among cardiologists. A recent study published in Radiology found that a fully automated, multitask deep learning algorithm improved CAD detection and stenosis classification using coronary CT angiography (CCTA). The study

Coronary heart disease

Association between Non-alcoholic Fatty Liver and Coronary Artery Calcification

Research conducted by Tanta University's Department of Radiodiagnosis and Medical Imaging has revealed a significant association between non-alcoholic fatty liver disease (NAFLD) and coronary artery calcification. The study, involving 404 adult patients referred to cardiovascular screening or coronary artery disease (CAD) risk evaluation between January 2022 and December

Coronary heart disease

Association Between Hepatosteatosis and Coronary Artery Disease Revealed in Study

Research conducted in Gaziantep, Turkiye, has shed light on the potential link between hepatosteatosis and coronary artery disease (CAD). The study, published in Clinical Radiology, aimed to evaluate the association between hepatosteatosis, epicardial adipose tissue (EAT), and paracardial adipose tissue (PAT) with CAD. The study analyzed 331 consecutive patients using

Coronary heart disease

Large Language Models Outperform Human Readers in Coronary CT Angiography Report Categorization

Researchers at Yonsei University College of Medicine have found that large language models (LLMs) can accurately categorize coronary artery disease (CAD) using coronary CT angiography (CCTA) reports, outperforming human readers in some cases. The study evaluated the accuracy of four LLMs and four human readers in assigning CAD-RADS 2.0

Algorithms

Deep Learning-Based Algorithm Accurately Detects Incidental Pulmonary Embolism on Contrast-Enhanced CT Scans

A recent study conducted by researchers at Emory University has demonstrated the effectiveness of a deep learning-based algorithm in detecting incidental pulmonary embolism (iPE) on contrast-enhanced computed tomography (CT) scans. The algorithm, developed by Avicenna.AI, was able to accurately identify iPE in 87.8% of cases, with a sensitivity

Algorithms

Improved Image Quality in Coronary Computed Tomography Angiography Using Whole-Heart Motion Correction Algorithm

Research in Anhui, People's Republic of China, has unveiled the effectiveness of a new algorithm, SnapShot Freeze 2 (SSF2), in enhancing image quality in coronary computed tomography angiography (CCTA). The study, conducted on 120 patients with suspected coronary artery disease, found that SSF2 significantly improved image quality compared

CAT scans

Vascular Inflammation Plays Critical Role in Coronary Artery Disease Development

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