Cargando…

Intra- and inter-operator reproducibility of automated cloud-based carotid lumen diameter ultrasound measurement

BACKGROUND: Common carotid artery lumen diameter (LD) ultrasound measurement systems are either manual or semi-automated and lack reproducibility and variability studies. This pilot study presents an automated and cloud-based LD measurements software system (AtheroCloud) and evaluates its: (i) intra...

Descripción completa

Detalles Bibliográficos
Autores principales:	Saba, Luca, Banchhor, Sumit K., Araki, Tadashi, Viskovic, Klaudija, Londhe, Narendra D., Laird, John R., Suri, Harman S., Suri, Jasjit S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2018
Materias:	Cardiac Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205023/ https://www.ncbi.nlm.nih.gov/pubmed/30392503 http://dx.doi.org/10.1016/j.ihj.2018.01.024

Ejemplares similares

The emerging role of atrial strain assessed by cardiac MRI in different cardiovascular settings: an up-to-date review
por: Cau, Riccardo, et al.
Publicado: (2022)

Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models
por: Nillmani,, et al.
Publicado: (2022)

Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors
por: Jamthikar, Ankush, et al.
Publicado: (2020)

Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review
por: Suri, Jasjit S., et al.
Publicado: (2022)

Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies
por: Cuadrado-Godia, Elisa, et al.
Publicado: (2018)

Quantitative coronary CT angiography: absolute lumen sizing rather than %stenosis predicts hemodynamically relevant stenosis
por: Plank, Fabian, et al.
Publicado: (2016)

Reproducibility of left atrial function using cardiac magnetic resonance imaging
por: Alfuhied, Aseel, et al.
Publicado: (2020)

Coronary artery lumen volume index as a marker of flow-limiting atherosclerosis—validation against (13)N-ammonia positron emission tomography
por: Benetos, Georgios, et al.
Publicado: (2021)

Reproducibility and its confounders of CMR feature tracking myocardial strain analysis in patients with suspected myocarditis
por: Fischer, Kady, et al.
Publicado: (2021)

Inter-software and inter-scan variability in measurement of epicardial adipose tissue: a three-way comparison of a research-specific, a freeware and a coronary application software platform
por: Chan, Jasmine, et al.
Publicado: (2023)

Greater Height Is Associated with a Larger Carotid Lumen Diameter
por: Hwaung, Phoenix, et al.
Publicado: (2019)

CT imaging features of carotid artery plaque vulnerability
por: Murgia, Alessandro, et al.
Publicado: (2020)

Compressed sensing acceleration of cardiac cine imaging allows reliable and reproducible assessment of volumetric and functional parameters of the left and right atrium
por: Altmann, Sebastian, et al.
Publicado: (2021)

Carotid Lumen Diameter Is Associated With All‐Cause Mortality in the General Population
por: Fritze, Felix, et al.
Publicado: (2020)

A Review on a Deep Learning Perspective in Brain Cancer Classification
por: Tandel, Gopal S., et al.
Publicado: (2019)

Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application
por: Saba, Luca, et al.
Publicado: (2021)

Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans
por: , Nillmani, et al.
Publicado: (2022)

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation
por: Suri, Jasjit S., et al.
Publicado: (2022)

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers
por: Maniruzzaman, Md., et al.
Publicado: (2018)

Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
por: Jain, Pankaj K., et al.
Publicado: (2022)

Tuberculosis-Associated Immune Reconstruction Inflammatory Syndrome (TB-IRIS) in HIV-Infected Patients: Report of Two Cases and the Literature Overview
por: Viskovic, Klaudija, et al.
Publicado: (2013)

Unseen Artificial Intelligence—Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study
por: Jain, Pankaj K., et al.
Publicado: (2021)

Telemedicine for enhancing positive airway pressure compliance in obstructive sleep apnea: Are we on cloud nine yet?
por: Suri, Tejas M., et al.
Publicado: (2023)

Risk factors of neonatal mortality and child mortality in Bangladesh
por: Maniruzzaman, Md, et al.
Publicado: (2018)

Imaging in COVID-19-related myocardial injury
por: Cau, Riccardo, et al.
Publicado: (2020)

Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm
por: Singh, Jaskaran, et al.
Publicado: (2023)

Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography
por: Suri, Jasjit S., et al.
Publicado: (2021)

pH regulates the lumen diameter of tissue-engineered capillaries
por: Wang, Xiaolin, et al.
Publicado: (2022)

Cardiovascular disease/stroke risk stratification in deep learning framework: a review
por: Bhagawati, Mrinalini, et al.
Publicado: (2023)

The mid-term effects of carotid endarterectomy on cognition and regional neural activity analyzed with the amplitude of low frequency fluctuations technique
por: Porcu, Michele, et al.
Publicado: (2021)

Handbook of image-based security techniques
por: Shivani, Shivendra, et al.
Publicado: (2018)

Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
por: Tandel, Gopal S., et al.
Publicado: (2023)

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
por: Suri, Jasjit S., et al.
Publicado: (2022)

REVERSIBILITY OF LIPOATROPHY IN HIV-INFECTED PATIENTS TAKING ANTIRETROVIRAL THERAPY: A COHORT STUDY WITH ULTRASOUND ASSESSMENT
por: Šoštarić Zadro, Ana, et al.
Publicado: (2022)

Conservative Treatment for Isolated Superior Mesenteric Artery Dissection With Severely Narrowed True Lumen
por: Sasaki, Hideki, et al.
Publicado: (2023)

Iatrogenic Tracheal Diverticula as a Cause of Subcutaneous Emphysema after Double-Lumen Tube Insertion
por: Suri, Ankita, et al.
Publicado: (2023)

Anderson-fabry disease: role of traditional and new cardiac MRI techniques
por: Caredda, Gloria, et al.
Publicado: (2021)

Artificial Intelligence Applications in Cardiovascular Magnetic Resonance Imaging: Are We on the Path to Avoiding the Administration of Contrast Media?
por: Cau, Riccardo, et al.
Publicado: (2023)

Ultrasound measurements of carotid intima-media thickness and plaque in HIV-infected patients on the Mediterranean diet
por: Višković, Klaudija, et al.
Publicado: (2013)

Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
por: Dubey, Arun Kumar, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_nmq93kgtp02antu9iti6ln0l4j