☆ 4.6 Article

Modelling blood flow in patients with heart valve disease using deep learning: A computationally efficient method to expand diagnostic capabilities in clinical routine

FRONTIERS IN CARDIOVASCULAR MEDICINE (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Cardiac & Cardiovascular Systems

Correlation between aortic valve protein levels and vector flow mapping of wall shear stress and oscillatory shear index in patients supported with continuous-flow left ventricular assist devices

Serge Kobsa et al.

Summary: This study investigated the effects of continuous-flow left ventricular assist devices (LVADs) on aortic regurgitation. By analyzing Doppler images and tissue samples from heart transplant patients, it was found that nonphysiological wall shear stress and oscillatory shear index can alter the abundance of structural proteins in the heart tissue.

JOURNAL OF HEART AND LUNG TRANSPLANTATION (2023)

添加到收藏夹

Review Radiology, Nuclear Medicine & Medical Imaging

The application of artificial intelligence in nuclear cardiology

Yuka Otaki et al.

Summary: This article summarizes and discusses recent research and applications of artificial intelligence in nuclear cardiology, as well as its pitfalls.

ANNALS OF NUCLEAR MEDICINE (2022)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Ascending aortic aneurysm haemodynamics are associated with aortic wall biomechanical properties

Davis McClarty et al.

Summary: The hemodynamics in ascending thoracic aortic aneurysms (ATAAs) have an effect on arterial wall properties and are associated with the risk of aortic dissection. Hemodynamic indices may provide insights into aortic wall integrity and lead to novel metrics for assessing risks associated with ATAAs.

EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY (2022)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Assessment of Paravalvular Leak Severity and Thrombogenic Potential in Transcatheter Bicuspid Aortic Valve Replacements Using Patient-Specific Computational Modeling

Salwa B. Anam et al.

Summary: This study utilized patient-specific computational modeling to assess post-TAVR complications in BAV patients, finding a significant decrease in post-implantation paravalvular leak and thrombogenic potential with the latest generation TAVR devices. This highlights the potential of simulations in pre-procedural planning for better clinical outcomes and device selection.

JOURNAL OF CARDIOVASCULAR TRANSLATIONAL RESEARCH (2022)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Patient-specific computer simulation to predict long-term outcomes after transcatheter aortic valve replacement

Cameron Dowling et al.

Summary: A study found that patient-specific computer simulation can identify patients at risk for long-term adverse outcomes after transcatheter aortic valve replacement (TAVR). In this study, patients predicted to have significant paravalvular regurgitation (PVR) through computer simulation had a higher rate of death within 2 years.

JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY (2022)

添加到收藏夹

Article Health Care Sciences & Services

Computational analysis of aortic haemodynamics in the presence of ascending aortic aneurysm

Aleksandra Petuchova et al.

Summary: This study investigates the hemodynamic parameters of an ascending aorta and ascending aortic aneurysm in humans using numerical modeling. The results show that the blood flow velocity is lower and the wall displacement is greater in the aorta with the aneurysm compared to the healthy aorta. The oscillatory shear index also decreases in the aneurysm-based model.

TECHNOLOGY AND HEALTH CARE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge

Matthias Ivantsits et al.

Summary: The CADA challenge aimed to support the development and benchmarking of algorithms for detecting, analyzing, and assessing the risk of cerebral aneurysms in 3DRA images. Participants presented U-Net-based detection solutions with similar accuracy to experts and excellent delineation of these structures. The rupture risk estimation methods achieved good results. The best method pipeline showed comparable performance to the ground-truth delineation.

MEDICAL IMAGE ANALYSIS (2022)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis

Benedikt Franke et al.

Summary: The study validated a method for assessing TPG in aortic stenosis using CT data, showing that there was no significant difference in TPG values between the CT method and catheter measurement method in 84 cases, with good consistency and correlation between the two methods.

FRONTIERS IN CARDIOVASCULAR MEDICINE (2021)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Hemodynamic Abnormalities in the Aorta of Turner Syndrome Girls

Lauren Johnston et al.

Summary: Girls and women with Turner syndrome (TS) have congenital abnormalities that increase their risk of cardiovascular disease, with obesity and hypertension as contributing factors. Computational fluid dynamics simulations showed differences in aortic blood flow characteristics between TS girls and healthy counterparts, suggesting potential early onset of atherosclerosis in TS patients. Factors such as age, obesity, and aortic morphology play a crucial role in assessing cardiovascular risk in TS children.

FRONTIERS IN CARDIOVASCULAR MEDICINE (2021)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Hemodynamic Modeling of Biological Aortic Valve Replacement Using Preoperative Data Only

Florian Hellmeier et al.

Summary: The study demonstrates an approach to predict aortic hemodynamics after biological AVR, showing strong correlations for maximum velocities and pressure gradients between postoperative 4D flow MRI data and CFD results. However, novel parameters like SFD and NFD appear to be more sensitive but harder to estimate accurately. Further optimization and validation are needed.

FRONTIERS IN CARDIOVASCULAR MEDICINE (2021)

添加到收藏夹

Review Respiratory System

Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology

Yisak Kim et al.

Summary: This review focuses on the application of AI, particularly deep learning, in complementing the current healthcare system. It discusses how AI-based tools can enhance clinical workflows, improve diagnostic efficiency, and address clinical problems beyond existing practices.

JOURNAL OF THORACIC DISEASE (2021)

添加到收藏夹

Article Biotechnology & Applied Microbiology

High Wall Shear Stress can Predict Wall Degradation in Ascending Aortic Aneurysms: An Integrated Biomechanics Study

M. Yousuf Salmasi et al.

Summary: The study found that elevated values of WSS in ATAA patients were associated with aortic wall degradation, indicating a potential relationship between WSS and the progression of ATAA disease. Further research may help in identifying threshold values to predict acute aortic events.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2021)

添加到收藏夹

Article Engineering, Biomedical

A 3D Bioprinted In Vitro Model of Pulmonary Artery Atresia to Evaluate Endothelial Cell Response to Microenvironment

Martin L. Tomov et al.

Summary: This research uses an in vitro model to simulate vascular anastomosis in pulmonary arteries and aid in surgical planning to reduce vascular restenosis. By utilizing bioprinting technology to reconstruct intervascular connections within bifurcated pulmonary arteries, the study found that vascular geometry and flow hemodynamics significantly affect endothelial cell viability, proliferation, alignment, microcapillary formation, and metabolic profiles.

ADVANCED HEALTHCARE MATERIALS (2021)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Abnormal aortic flow profiles persist after aortic valve replacement in the majority of patients with aortic valve disease: how model-based personalized therapy planning could improve results. A pilot study approach

Sarah Nordmeyer et al.

EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY (2020)

添加到收藏夹

Review Surgery

Computational Fluid Dynamics Modeling of Hemodynamic Parameters in the Human Diseased Aorta: A Systematic Review

Chi Wei Ong et al.

ANNALS OF VASCULAR SURGERY (2020)

添加到收藏夹

Article Biophysics

A feasibility study of deep learning for predicting hemodynamics of human thoracic aorta

Liang Liang et al.

JOURNAL OF BIOMECHANICS (2020)

添加到收藏夹

Article Engineering, Biomedical

Combining statistical shape modeling,CFD, and meta-modeling to approximate the patient-specific pressure-drop across the aortic valve in real-time

M. J. M. M. Hoeijmakers et al.

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING (2020)

添加到收藏夹

Article Biology

Generating wall shear stress for coronary artery in real-time using neural networks: Feasibility and initial results based on idealized models

Boyang Su et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2020)

添加到收藏夹

Review Cardiac & Cardiovascular Systems

Deep Learning for Cardiac Image Segmentation: A Review

Chen Chen et al.

FRONTIERS IN CARDIOVASCULAR MEDICINE (2020)

添加到收藏夹

Review Cardiac & Cardiovascular Systems

Computational fluid dynamics: a primer for congenital heart disease clinicians

Rabin Gerrah et al.

ASIAN CARDIOVASCULAR & THORACIC ANNALS (2020)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Subhi J. Al'Aref et al.

EUROPEAN HEART JOURNAL (2019)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Predicting Survival From Large Echocardiography and Electronic Health Record Datasets Optimization With Machine Learning

Manar D. Samad et al.

JACC-CARDIOVASCULAR IMAGING (2019)

添加到收藏夹

Review Cardiac & Cardiovascular Systems

Artificial Intelligence in Cardiovascular Imaging JACC State-of-the-Art Review

Damini Dey et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2019)

添加到收藏夹

Article Biophysics

Surgical Aortic Valve Replacement: Are We Able to Improve Hemodynamic Outcome?

Pavlo Yevtushenko et al.

BIOPHYSICAL JOURNAL (2019)

添加到收藏夹

Review Cardiac & Cardiovascular Systems

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

Geert Litjens et al.

JACC-CARDIOVASCULAR IMAGING (2019)

添加到收藏夹

Article Biophysics

Patient-specific simulation of transcatheter aortic valve replacement: impact of deployment options on paravalvular leakage

Matteo Bianchi et al.

BIOMECHANICS AND MODELING IN MECHANOBIOLOGY (2019)

添加到收藏夹

Article Medicine, General & Internal

Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model

Allison Park et al.

JAMA NETWORK OPEN (2019)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Dobutamine Stress Echocardiography for Management of Low-Flow, Low- Gradient Aortic Stenosis

Mohamed-Salah Annabi et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2018)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Perioperative evaluation of regional aortic wall shear stress patterns in patients undergoing aortic valve and/or proximal thoracic aortic replacement

Emilie Bollache et al.

JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2018)

添加到收藏夹

Article Engineering, Biomedical

Development of a modeling pipeline for the prediction of hemodynamic outcome after virtual mitral valve repair using image-based CFD

Katharina Vellguth et al.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2018)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation

Mahdi Tabassian et al.

JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY (2018)

添加到收藏夹

Article Physiology

Wall Shear Stress Directional Abnormalities in BAV Aortas: Toward a New Hemodynamic Predictor of Aortopathy?

Janet Liu et al.

FRONTIERS IN PHYSIOLOGY (2018)

添加到收藏夹

Article Engineering, Biomedical

Hemodynamic Evaluation of a Biological and Mechanical Aortic Valve Prosthesis Using Patient-Specific MRI-Based CFD

Florian Hellmeier et al.

ARTIFICIAL ORGANS (2018)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis

Manish Motwani et al.

EUROPEAN HEART JOURNAL (2017)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Patient-specific computational fluid dynamics-assessment of aortic hemodynamics in a spectrum of aortic valve pathologies

Pouya Youssefi et al.

JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2017)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

CFD- and Bernoulli-based pressure drop estimates: A comparison using patient anatomies from heart and aortic valve segmentation of CT images

Juergen Weese et al.

MEDICAL PHYSICS (2017)

添加到收藏夹

Article Multidisciplinary Sciences

Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva et al.

NATURE (2017)

添加到收藏夹

Article Mechanics

Deep earning in fluid dynamics

J. Nathan Kutz

JOURNAL OF FLUID MECHANICS (2017)

添加到收藏夹

Article Engineering, Biomedical

Interactive virtual stent planning for the treatment of coarctation of the aorta

Mathias Neugebauer et al.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2016)

添加到收藏夹

Review Engineering, Biomedical

Heart blood flow simulation: a perspective review

Siamak N. Doost et al.

BIOMEDICAL ENGINEERING ONLINE (2016)

添加到收藏夹

Article Cell Biology

Supervised autonomous robotic soft tissue surgery

Azad Shademan et al.

SCIENCE TRANSLATIONAL MEDICINE (2016)

添加到收藏夹

Article Multidisciplinary Sciences

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

Kun-Hsing Yu et al.

NATURE COMMUNICATIONS (2016)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

MRI-Based Computational Fluid Dynamics for Diagnosis and Treatment Prediction: Clinical Validation Study in Patients With Coarctation of Aorta

Leonid Goubergrits et al.

JOURNAL OF MAGNETIC RESONANCE IMAGING (2015)

添加到收藏夹

Review Cardiac & Cardiovascular Systems

Computational Fluid Dynamics Applied to Cardiac Computed Tomography for Noninvasive Quantification of Fractional Flow Reserve Scientific Basis

Charles A. Taylor et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2013)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Usefulness of exercise-stress echocardiography for risk stratification of true asymptomatic patients with aortic valve stenosis

Sylvestre Marechaux et al.

EUROPEAN HEART JOURNAL (2010)

添加到收藏夹

Review Cardiac & Cardiovascular Systems

Exercise testing and exercise stress echocardiography in asymptomatic aortic valve stenosis

P. V. Ennezat et al.

HEART (2009)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

The Emerging Role of Exercise Testing and Stress Echocardiography in Valvular Heart Disease

Eugenio Picano et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2009)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Simulation of blood flow within the abdominal aorta. Computational fluid dynamics in abdominal aortic aneurysms before and after interventions

T. Frauenfelder et al.

RADIOLOGE (2007)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.