Background: Extracranial atherosclerosis is one of the major causes of stroke. Carotid computed tomography angiography (CTA) is a widely used imaging modality that allows detailed assessments of plaque characteristics. This study aimed to develop and test radiomics models of carotid plaques and perivascular adipose tissue (PVAT) to distinguish symptomatic from asymptomatic plaques and compare the diagnostic value between radiomics models and traditional CTA model.
Methods: A total of 144 patients with carotid plaques were divided into symptomatic and asymptomatic groups. The traditional CTA model was built by the traditional radiological features of carotid plaques measured on CTA images which were screened by univariate analysis and multivariable logistic regression. We extracted and screened radiomics features from carotid plaques and PVAT. Then, a support vector machine was used for building plaque and PVAT radiomics models, as well as a combined model using traditional CTA features and radiomics features. The diagnostic value between radiomics models and traditional CTA model was compared in identifying symptomatic carotid plaques by Delong method.
Results: The area under curve (AUC) values of traditional CTA model were 0.624 and 0.624 for the training and validation groups, respectively. The plaque radiomics model and PVAT radiomics model achieved AUC values of 0.766, 0.740 and 0.759, 0.618 in the two groups, respectively. Meanwhile, the combined model of plaque and PVAT radiomics features and traditional CTA features had AUC values of 0.883 and 0.840 for the training and validation groups, respectively, and the receiver operating characteristic curves of combined model were significantly better than those of traditional CTA model in the training group (P<0.001) and validation group (P=0.029).
Conclusions: The combined model of the radiomics features of carotid plaques and PVAT and the traditional CTA features significantly contributes to identifying high-risk carotid plaques compared with traditional CTA model.
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http://dx.doi.org/10.21037/qims-23-158 | DOI Listing |
J Clin Med
January 2025
Centre of Excellence for Sustainable Living and Working (SustAInLivWork), 51423 Kaunas, Lithuania.
: This study focuses on the critical task of blood vessel segmentation in medical image analysis, essential for diagnosing cardiovascular diseases and enabling effective treatment planning. Although deep learning architectures often produce very high segmentation results in medical images, coronary computed tomography angiography (CTA) images are more challenging than invasive coronary angiography (ICA) images due to noise and the complexity of vessel structures. : Classical architectures for medical images, such as U-Net, achieve only moderate accuracy, with an average Dice score of 0.
View Article and Find Full Text PDFJ Cardiothorac Surg
January 2025
Department of Thyroid Breast Cardiothoracic & Vascular Surgery, Beibei District Hospital of Traditional Chinese Medicine, No. 380 Jiangjun Road, Beibei District, Chongqing, 400700, China.
Background: To evaluate the clinical diagnostic value of third-generation dual-source CT for pulmonary embolism, focusing on the optimization of dual-source CT scanning with dynamic reconstruction in acute pulmonary embolism (PE) and various imaging manifestations.
Methods: Eighty-two patients with pulmonary embolism were enrolled and randomly divided into standard CT angiography (SCTA) and dynamic CT angiography (DCTA). DCTA patients were divided into dynamic CT angiography arterial phase (DCTAa), time phase Angiography reconstruction (TMIP-CTA), and 4D noise reduction TMIP-CTA according to the image reconstruction.
J Thorac Cardiovasc Surg
January 2025
Mount Sinai Health System, New York, NY.
Objective: The aim of this study was to assess the effectiveness of non-invasive coronary computed tomography angiography (CTA) as an alternative to traditional invasive coronary angiography (ICA) for preoperative evaluation of low risk patients with an indication for non-emergent mitral surgery and to assess any difference in adverse outcomes from this strategy.
Methods: This was a retrospective cohort study from a single center with data collected from July 2014 - June 2020 for 1576 patients undergoing mitral valve surgery of all etiologies - excluding patients requiring coronary artery bypass surgery. We performed a 1:2 propensity score matching for patients evaluated with CT (n=345) to those evaluated with ICA (n=602).
J Clin Ultrasound
January 2025
Argentinian Critical Care Ultrasonography Association (ASARUC), Buenos Aires, Argentina.
Fibromuscular dysplasia (FMD) is a rare, non-atherosclerotic vascular disease affecting medium to large arteries, especially the renal and internal carotid arteries (ICAs). The string-of-beads appearance, indicative of alternating areas of stenosis and dilatation, is a key imaging feature typically observed in the distal ICAs. Diagnosing FMD in critically ill patients poses challenges due to the risks associated with traditional imaging methods such as computed tomography angiography (CTA), magnetic resonance angiography, and digital subtraction angiography.
View Article and Find Full Text PDFBMC Cardiovasc Disord
January 2025
Department of Radiology, Central Hospital Affiliated to Shandong First Medical University, Jinan City, Shandong Province, China.
Background: The personalized, free-breathing, heart rate-dependent computed tomography angiography (CTA) protocol can significantly reduce the utilization of contrast medium (CM). This proves especially beneficial for patients with chronic obstructive pulmonary disease (COPD) undergoing coronary artery CTA examinations.
Objective: The aim of this study was to evaluate the feasibility of a personalized CT scanning protocol that was tailored to patients' heart rate and free-breathing for coronary CTA of patients with COPD.
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