Quantification of lung ventilation defects on hyperpolarized MRI: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD study.

Aged Aged, 80 and over Atherosclerosis / diagnostic imaging Case-Control Studies Helium Humans Lung / diagnostic imaging Magnetic Resonance Imaging / methods Male Protons Pulmonary Disease, Chronic Obstructive / diagnostic imaging Retrospective Studies
COPD Deep learning Hyperpolarized gas MRI Ventilation defects

Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
10 2022
Historique:
received: 28 01 2022
revised: 11 05 2022
accepted: 23 06 2022
pubmed: 2 7 2022
medline: 5 8 2022
entrez: 1 7 2022
Statut: ppublish

Résumé

To develop an end-to-end deep learning (DL) framework to segment ventilation defects on pulmonary hyperpolarized MRI. The Multi-Ethnic Study of Atherosclerosis Chronic Obstructive Pulmonary Disease (COPD) study is a nested longitudinal case-control study in older smokers. Between February 2016 and July 2017, 56 participants (age, mean ± SD, 74 ± 8 years; 34 men) underwent same breath-hold proton ( Conventional-DA improved The proposed cascaded U-Net framework generated fully-automated segmentation of ventilation defects on

Identifiants

DOI: 10.1016/j.mri.2022.06.016 PMID: 35777684 PMC: PMC9957614
pubmed: 35777684
pii: S0730-725X(22)00110-2
doi: 10.1016/j.mri.2022.06.016
pmc: PMC9957614
mid: NIHMS1868818
pii:
doi:

Substances chimiques

Protons 0
Helium 206GF3GB41

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

140-149

Subventions

Organisme : NHLBI NIH HHS
ID : 75N92020D00005
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95160
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95163
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001079
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL077612
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95164
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL121270
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95165
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92020D00007
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500003I
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95167
Pays : United States
Organisme : Medical Research Council
ID : MR/M008894/1
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : 75N92020D00002
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500003C
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92020D00001
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95169
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95162
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92020D00003
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL093081
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95168
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95159
Pays : United States
Organisme : British Heart Foundation
ID : SP/14/6/31350
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : N01HC95161
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001420
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92020D00004
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK026687
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000040
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92020D00006
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95166
Pays : United States

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

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Auteurs

Xuzhe Zhang (X)

Department of Biomedical Engineering, Columbia University, New York, NY, USA.

Elsa D Angelini (ED)

Department of Biomedical Engineering, Columbia University, New York, NY, USA; NIHR Imperial BRC, ITMAT Data Science Group, Department of Metabolism, Digestion and Reproduction, Imperial College, London, UK.

Fateme S Haghpanah (FS)

Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.

Andrew F Laine (AF)

Department of Biomedical Engineering, Columbia University, New York, NY, USA.

Yanping Sun (Y)

Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.

Grant T Hiura (GT)

Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.

Stephen M Dashnaw (SM)

Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.

Martin R Prince (MR)

Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA; Department of Radiology, Weill Cornell Medicine, Cornell University, New York, NY, USA.

Eric A Hoffman (EA)

Department of Radiology, University of Iowa, Iowa City, IA, USA; Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA; Department of Medicine, University of Iowa, Iowa City, IA, USA.

Bharath Ambale-Venkatesh (B)

School of Medicine, John Hopkins University, Baltimore, MD, USA.

Joao A Lima (JA)

School of Medicine, John Hopkins University, Baltimore, MD, USA.

Jim M Wild (JM)

POLARIS, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.

Emlyn W Hughes (EW)

Department of Physics, Columbia University, New York, NY, USA.

R Graham Barr (RG)

Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA; Department of Epidemiology, Columbia University Irving Medical Center, New York, NY, USA.

Wei Shen (W)

Division of Pediatric Gastroenterology, Hepatology and Nutrition, Columbia University Irving Medical Center, New York, NY, USA; Institute of Human Nutrition, Columbia University Irving Medical Center, New York, NY, USA; Columbia Magnetic Resonance Research Center (CMRRC), Columbia University, New York, NY, USA. Electronic address: ws2003@columbia.com.

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questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Quantification of lung ventilation defects on...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Sujet âgé de 80 ans ou plus › Quantification of lung ventilation defects on...
questionsmedicales.fr › Maladies cardiovasculaires › Maladies vasculaires › Artériopathies oblitérantes › Artériosclérose › Athérosclérose › Quantification of lung ventilation defects on...
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questionsmedicales.fr › Produits chimiques inorganiques › Gaz › Gaz rares › Hélium › Quantification of lung ventilation defects on...
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questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Quantification of lung ventilation defects on...
questionsmedicales.fr › Phénomènes physiques › Particules élémentaires › Nucléons › Protons › Quantification of lung ventilation defects on...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Caractéristiques de la maladie › Maladie chronique › Broncho-pneumopathie chronique obstructive › Quantification of lung ventilation defects on...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études rétrospectives › Quantification of lung ventilation defects on...