AIMC Topic: Pulmonary Artery
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Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.
European radiology
Nov 8, 2019
OBJECTIVES: This study aimed to develop non-invasive machine learning classifiers for predicting post-Glenn shunt patients with low and high risks of a mean pulmonary arterial pressure (mPAP) > 15 mmHg based on preoperative cardiac computed tomograph...
Univentricular Heart
Cardiac Catheterization
Transposition of Great Vessels
Pulmonary Artery
Heart Septal Defects
Blood Pressure
Bayes Theorem
Discriminant Analysis
Double Outlet Right Ventricle
Fontan Procedure
Heart Defects, Congenital
Pulmonary Atresia
Tricuspid Atresia
Child, Preschool
Child
Logistic Models
Support Vector Machine
Male
Infant
Humans
Lung
Machine Learning
Adolescent
Algorithms
Tomography, X-Ray Computed
Female
Young Adult
Prognosis
Retrospective Studies
Deep learning to convert unstructured CT pulmonary angiography reports into structured reports.
European radiology experimental
Sep 23, 2019
BACKGROUND: Structured reports have been shown to improve communication between radiologists and providers. However, some radiologists are concerned about resultant decreased workflow efficiency. We tested a machine learning-based algorithm designed ...
A case of robotic assisted percutaneous coronary intervention of the left main coronary artery in a patient with very late baffle stenosis after surgical correction of anomalous left coronary artery from the pulmonary artery.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Jun 27, 2019
A 34-year-old woman with history of surgical correction (Takeuchi procedure) of anomalous left coronary artery from the pulmonary artery (ALCAPA) presented with reduced left ventricular ejection fraction of 48% and severe ischemia quantified as 21% b...
Deep learning enables cross-modality super-resolution in fluorescence microscopy.
Nature methods
Dec 17, 2018
We present deep-learning-enabled super-resolution across different fluorescence microscopy modalities. This data-driven approach does not require numerical modeling of the imaging process or the estimation of a point-spread-function, and is based on ...
Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.
IEEE transactions on medical imaging
May 4, 2018
Recent studies show that pulmonary vascular diseases may specifically affect arteries or veins through different physiologic mechanisms. To detect changes in the two vascular trees, physicians manually analyze the chest computed tomography (CT) image...
Automated generation of directed graphs from vascular segmentations.
Journal of biomedical informatics
Jul 9, 2015
Automated feature extraction from medical images is an important task in imaging informatics. We describe a graph-based technique for automatically identifying vascular substructures within a vascular tree segmentation. We illustrate our technique us...
Accuracy of a deep neural network for automated pulmonary embolism detection on dedicated CT pulmonary angiograms.
European journal of radiology
Jun 1, 2025
PURPOSE: To assess the performance of a Deep Neural Network (DNN)-based prototype algorithm for automated PE detection on CTPA scans.
Humans
Neural Networks, Computer
Algorithms
Aged, 80 and over
Adult
Sensitivity and Specificity
Male
Middle Aged
Retrospective Studies
Female
Reproducibility of Results
Aged
Pulmonary Artery
Deep Learning
Radiographic Image Interpretation, Computer-Assisted
Pulmonary Embolism
Computed Tomography Angiography
[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].
Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
May 12, 2025
Pulmonary vascular intervention technology, with its minimally invasive and precise advantages, has been a groundbreaking advancement in the treatment of pulmonary vascular diseases. Techniques such as balloon pulmonary angioplasty (BPA), pulmonary a...
Artificial intelligence-based pulmonary vessel segmentation: an opportunity for automated three-dimensional planning of lung segmentectomy.
Interdisciplinary cardiovascular and thoracic surgery
May 6, 2025
OBJECTIVES: This study aimed to develop an automated method for pulmonary artery and vein segmentation in both left and right lungs from computed tomography (CT) images using artificial intelligence (AI). The segmentations were evaluated using PulmoS...
Accuracy of artificial intelligence-based simulation for assessing lung vessels and volume using unenhanced computed tomography.
European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
Mar 4, 2025
OBJECTIVES: The advantages of preoperative three-dimensional (3D) image simulations, which require enhanced computed tomography (ECT), for anatomical lung resection are well documented. However, the necessity for contrast agent presents a significant...
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