Cargando…

Feature-tracking myocardial strain in healthy adults- a magnetic resonance study at 3.0 tesla

We analyzed feature-tracking derived circumferential and longitudinal strain in healthy volunteers who underwent cardiac magnetic resonance imaging (CMR) at 3.0 T. 88 healthy adults (44.6 ± 18.0 years old, 49% male), without prior cardiovascular disease, underwent CMR at 3.0 T including cine, and la...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mangion, Kenneth, Burke, Nicole M. M., McComb, Christie, Carrick, David, Woodward, Rosemary, Berry, Colin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397185/ https://www.ncbi.nlm.nih.gov/pubmed/30824793 http://dx.doi.org/10.1038/s41598-019-39807-w

Ejemplares similares

Myocardial strain in healthy adults across a broad age range as revealed by cardiac magnetic resonance imaging at 1.5 and 3.0T: Associations of myocardial strain with myocardial region, age, and sex
por: Mangion, Kenneth, et al.
Publicado: (2016)

A Novel Method for Estimating Myocardial Strain: Assessment of Deformation Tracking Against Reference Magnetic Resonance Methods in Healthy Volunteers
por: Mangion, Kenneth, et al.
Publicado: (2016)

Assessment of the relationships between myocardial contractility and infarct tissue revealed by serial magnetic resonance imaging in patients with acute myocardial infarction
por: McComb, Christie, et al.
Publicado: (2015)

In-vivo assessment of the diagnostic performance of DENSE in patients with myocardial infarction
por: McComb, Christie, et al.
Publicado: (2014)

Assessment of longitudinal changes in strain using DENSE in patients with myocardial infarction
por: McComb, Christie, et al.
Publicado: (2014)

Native myocardial longitudinal (T (1)) relaxation time: Regional, age, and sex associations in the healthy adult heart
por: Rauhalammi, Samuli M.O., et al.
Publicado: (2016)

Diagnostic Accuracy of 3.0‐T Magnetic Resonance T1 and T2 Mapping and T2‐Weighted Dark‐Blood Imaging for the Infarct‐Related Coronary Artery in Non–ST‐Segment Elevation Myocardial Infarction
por: Layland, Jamie, et al.
Publicado: (2017)

Myocardial changes in incident haemodialysis patients over 6-months: an observational cardiac magnetic resonance imaging study
por: Rutherford, Elaine, et al.
Publicado: (2017)

Defining myocardial tissue abnormalities in end-stage renal failure with cardiac magnetic resonance imaging using native T1 mapping
por: Rutherford, Elaine, et al.
Publicado: (2016)

BOLD cardiovascular magnetic resonance at 3.0 tesla in myocardial ischemia
por: Manka, Robert, et al.
Publicado: (2010)

T1 and T2 Mapping have a higher diagnostic accuracy for the ischaemic area-at-risk in NSTEMI patients compared with dark blood imaging
por: Layland, Jamie, et al.
Publicado: (2014)

Predictors of segmental myocardial functional recovery in patients after an acute ST-Elevation myocardial infarction
por: Mangion, Kenneth, et al.
Publicado: (2019)

Inter-study reproducibility of arterial spin labelling magnetic resonance imaging for measurement of renal perfusion in healthy volunteers at 3 Tesla
por: Gillis, Keith A, et al.
Publicado: (2014)

Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models
por: Gao, Hao, et al.
Publicado: (2017)

High-dose dobutamine stress magnetic resonance perfusion imaging at 3.0 Tesla
por: Gebker, Rolf, et al.
Publicado: (2013)

Contrast enhanced magnetic resonance angiography in children: initial experience at 3.0 Tesla
por: Khan, SN, et al.
Publicado: (2013)

Microvascular Resistance Predicts Myocardial Salvage and Infarct Characteristics in ST‐Elevation Myocardial Infarction
por: Payne, Alexander R., et al.
Publicado: (2012)

Poster 173: Comparison of Sensitivity of Diagnosis of Subscapularis Tear on 1.5 Tesla versus 3.0 Tesla Magnetic Resonance Imaging
por: Neel, Robert, et al.
Publicado: (2023)

Normal variation of diffusion tensor parameters of the spinal cord in healthy subjects at 3.0-Tesla
por: Uda, T., et al.
Publicado: (2011)

T-staging of rectal cancer: accuracy of 3.0 Tesla MRI compared with 1.5 Tesla
por: Maas, Monique, et al.
Publicado: (2011)

Coronary magnetic resonance angiography: in vivo comparison of image quality at 1.5 Tesla versus 3.0 Tesla with Parallel Radiofrequency Transmission
por: Hussain, Tarique, et al.
Publicado: (2012)

Fluid attenuated inversion recovery (FLAIR) MRI at 7.0 Tesla: comparison with 1.5 and 3.0 Tesla
por: Zwanenburg, Jaco J. M., et al.
Publicado: (2009)

Stress Perfusion Cardiac Magnetic Resonance Imaging With a 3.0-Tesla Scanner for Myocardial Viability in a Patient With a Conditional Pacemaker
por: Motazedian, Pouya, et al.
Publicado: (2022)

Assessment of iron deposition in the heart in sickle cell patients using 3.0 Tesla cardiovascular magnetic resonance
por: Ibrahim, El-Sayed, et al.
Publicado: (2012)

Application of 3.0 Tesla Magnetic Resonance Imaging for Diagnosis in the Orthotopic Nude Mouse Model of Pancreatic Cancer
por: Wu, Li, et al.
Publicado: (2014)

Amide Proton Transfer Magnetic Resonance Imaging of Alzheimer's Disease at 3.0 Tesla: A Preliminary Study
por: Wang, Rui, et al.
Publicado: (2015)

Accumulation of 2-hydroxyglutarate in gliomas correlates with survival: a study by 3.0-tesla magnetic resonance spectroscopy
por: Natsumeda, Manabu, et al.
Publicado: (2014)

Diagnostic accuracy of Dixon water fat suppression coronary artery magnetic resonance angiography at 3.0 Tesla
por: Ripley, David P, et al.
Publicado: (2016)

Comparative Analysis of Cortical Microinfarcts and Microbleeds using 3.0-Tesla Postmortem Magnetic Resonance Images and Histopathology
por: Niwa, Atsushi, et al.
Publicado: (2017)

Diagnostic accuracy of high-temporal resolution whole heart coronary magnetic resonance angiography at 3.0 Tesla
por: Motonori, Nagata, et al.
Publicado: (2009)

Repeatability of Apparent Diffusion Coefficient at 3.0 Tesla in Normal Pancreas
por: Chen, Shiyue, et al.
Publicado: (2021)

Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease
por: Rankin, Alastair J, et al.
Publicado: (2021)

Predictors of Microvascular Reperfusion After Myocardial Infarction
por: Doherty, Daniel J., et al.
Publicado: (2021)

Interobserver variability of 3.0-tesla and 1.5-tesla magnetic resonance imaging/computed tomography fusion image–based post-implant dosimetry of prostate brachytherapy
por: Watanabe, Kenta, et al.
Publicado: (2019)

Magnetic Field Interactions of Copper-Containing Intrauterine Devices in 3.0-Tesla Magnetic Resonance Imaging: In Vivo Study
por: Berger-Kulemann, Vanessa, et al.
Publicado: (2013)

Magnetic Resonance of Rectal Cancer Response to Therapy: An Image Quality Comparison between 3.0 and 1.5 Tesla
por: Caruso, Damiano, et al.
Publicado: (2020)

3.0-tesla magnetic resonance imaging in the assessment of postmenopausal osteoporosis: are technological advances capable of replacing bone densitometry?
por: Costa, Flavia Martins
Publicado: (2022)

Effect of changes to Modified Look-Locker Inversion (MOLLI) sequence on T1 Mapping at 3.0 Tesla in healthy volunteers
por: McDiarmid, Adam K, et al.
Publicado: (2014)

Validation of dynamic three-dimensional whole heart magnetic resonance myocardial perfusion imaging at 3.0 Tesla against the duke jeopardy score to assess myocardium at risk
por: Jogiya, Roy, et al.
Publicado: (2012)

Higher field reduced FOV diffusion-weighted imaging for abdominal imaging at 5.0 Tesla: image quality evaluation compared with 3.0 Tesla
por: Zhang, Yunfei, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_c4c3dn8lvflro23tc0ncmf0f6c