AIMC Topic: Computed Tomography Angiography
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Detection of Endoleak after Endovascular Aortic Repair through Deep Learning Based on Non-contrast CT.
Cardiovascular and interventional radiology
Jul 8, 2024
OBJECTIVES: To develop and validate a deep learning model for detecting post-endovascular aortic repair (EVAR) endoleak from non-contrast CT.
Machine Learning Based Prediction of Post-operative Infrarenal Endograft Apposition for Abdominal Aortic Aneurysms.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Jul 6, 2024
OBJECTIVE: Challenging infrarenal aortic neck characteristics have been associated with an increased risk of type Ia endoleak after endovascular aneurysm repair (EVAR). Short apposition (< 10 mm circumferential shortest apposition length [SAL]) on th...
Aged, 80 and over
Male
Treatment Outcome
Predictive Value of Tests
Aortic Aneurysm, Abdominal
Retrospective Studies
Female
Risk Factors
Aged
Aortography
Endoleak
Aorta, Abdominal
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Computed Tomography Angiography
Blood Vessel Prosthesis
Humans
Machine Learning
A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography of the lower extremities.
BMC medical imaging
Jul 1, 2024
PURPOSE: To examine whether there is a significant difference in image quality between the deep learning reconstruction (DLR [AiCE, Advanced Intelligent Clear-IQ Engine]) and hybrid iterative reconstruction (HIR [AIDR 3D, adaptive iterative dose redu...
Humans
Algorithms
Retrospective Studies
Popliteal Vein
Contrast Media
Lower Extremity
Radiographic Image Interpretation, Computer-Assisted
Radiation Dosage
Vena Cava, Inferior
Computed Tomography Angiography
Radiographic Image Enhancement
Phlebography
Femoral Vein
Varicose Veins
Adult
Male
Tomography, X-Ray Computed
Middle Aged
Female
Deep Learning
Aged
Venous Thrombosis
Aged, 80 and over
Modeling of valve-in-valve transcatheter aortic valve implantation after aortic root replacement using a 3-dimensional artificial intelligence algorithm.
The Journal of thoracic and cardiovascular surgery
Jun 29, 2024
OBJECTIVE: Aortic root replacement requires construction of a composite valve-graft and reimplantation of coronary arteries. This study assessed the feasibility of valve-in-valve transcatheter aortic valve implantation after aortic root replacement.
Retrospective Studies
Female
Aged
Aged, 80 and over
Male
Humans
Artificial Intelligence
Algorithms
Heart Valve Prosthesis
Computed Tomography Angiography
Models, Cardiovascular
Transcatheter Aortic Valve Replacement
Bioprosthesis
Imaging, Three-Dimensional
Treatment Outcome
Aortic Valve
Prosthesis Design
Feasibility Studies
Artificial Intelligence Based Methods to Enhance Analysis of Non-Contrast Computed Tomography in Patients with Aortic Aneurysm.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Jun 25, 2024
nnU-Net-based deep-learning for pulmonary embolism: detection, clot volume quantification, and severity correlation in the RSPECT dataset.
European journal of radiology
Jun 25, 2024
OBJECTIVES: CT pulmonary angiography is the gold standard for diagnosing pulmonary embolism, and DL algorithms are being developed to manage the increase in demand. The nnU-Net is a new auto-adaptive DL framework that minimizes manual tuning, making ...
Automatic detection of pulmonary embolism on computed tomography pulmonary angiogram scan using a three-dimensional convolutional neural network.
European journal of radiology
Jun 21, 2024
OBJECTIVE: To propose a convolutional neural network (EmbNet) for automatic pulmonary embolism detection on computed tomography pulmonary angiogram (CTPA) scans and to assess its diagnostic performance.
Improved vascular depiction and image quality through deep learning reconstruction of CT hepatic arteriography during transcatheter arterial chemoembolization.
Japanese journal of radiology
Jun 18, 2024
PURPOSE: To evaluate the effect of deep learning reconstruction (DLR) on vascular depiction, tumor enhancement, and image quality of computed tomography hepatic arteriography (CTHA) images acquired during transcatheter arterial chemoembolization (TAC...
Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography.
Circulation. Cardiovascular imaging
Jun 18, 2024
BACKGROUND: This study aimed to develop and validate a computed tomography angiography based machine learning model that uses plaque composition data and degree of carotid stenosis to detect symptomatic carotid plaques in patients with carotid athero...
Explainable deep-learning-based ischemia detection using hybrid O-15 HO perfusion positron emission tomography and computed tomography imaging with clinical data.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Jun 8, 2024
BACKGROUND: We developed an explainable deep-learning (DL)-based classifier to identify flow-limiting coronary artery disease (CAD) by O-15 HO perfusion positron emission tomography computed tomography (PET/CT) and coronary CT angiography (CTA) imagi...
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