Publications by authors named "George Charalampopoulos"

Article Synopsis
  • Cerebrovascular events like strokes can often be predicted by assessing the rupture of plaques in the carotid arteries, and this study introduces a new method combining computational fluid dynamics, structural analysis, and machine learning to improve risk predictions.
  • The research utilized 3D imaging and blood flow simulations on data from 134 asymptomatic patients, integrating both imaging and clinical data to evaluate the risk of carotid atherosclerosis more effectively.
  • The developed model, a Gradient Boosting Tree classifier, demonstrated strong performance metrics: 88% balanced accuracy, a ROC AUC of 0.92, and high sensitivity and specificity, showing great promise for enhancing clinical decision-making and patient outcomes in stroke prevention.
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Atherosclerotic carotid plaque development results in a steady narrowing of the artery lumen, which may eventually trigger catastrophic plaque rupture leading to thromboembolism and stroke. The primary cause of ischemic stroke in the EU is carotid artery disease, which increases the demand for tools for risk stratification and patient management in carotid artery disease. Additionally, advancements in cardiovascular modeling over the past few years have made it possible to build accurate three-dimensional models of patient-specific primary carotid arteries.

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One of the main causes of death worldwide is carotid artery disease, which causes increasing arterial stenosis and may induce a stroke. To address this problem, the scientific community aims to improve our understanding of the underlying atherosclerotic mechanisms, as well as to make it possible to forecast the progression of atherosclerosis. Additionally, over the past several years, developments in the field of cardiovascular modeling have made it possible to create precise three-dimensional models of patient-specific main carotid arteries.

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Objective: To retrospectively compare and evaluate ablation zone volume and its reduction from baseline to 1 month follow-up post-percutaneous microwave ablation (MWA) between healthy and cirrhotic liver parenchyma.

Methods: Institutional database research identified 84 patients (118 hepatic tumors) who underwent percutaneous MWA with the same system. Caudal-right lobe ratio was applied to distinguish cirrhotic ( = 51) and healthy ( = 67) group; ITK-SNAP software was used to quantify ablation zone volume.

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Objectives: To retrospectively evaluate feasibility and safety of CT-guided percutaneous radiofrequency ablation (RFA) of metastatic lymph nodes (LN) in terms of achieving local tumor control.

Methods: Institutional database research identified 16 patients with 24 metastatic LNs who underwent percutaneous CT-guided radiofrequency ablation. Mean patient age was 66.

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Percutaneous, image-guided musculoskeletal biopsy, due to its minimal invasive nature, when compared with open surgical biopsy, is a safe and effective technique which is widely used in many institutions as the primary method to acquire tissue and bone samples. Indications include histopathologic and molecular assessment of a musculoskeletal lesion, exclusion of malignancy in a bone/vertebral fracture, examination of bone marrow, and infection investigation. Preprocedural workup should include both imaging (for lesion assessment and staging) and laboratory (including coagulation tests and platelet count) studies.

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