Spring til hovednavigation
Spring til søgning
Spring til hovedindhold
Region Sjælland Forside
Hjælp og OSS
Link åbnes på en ny fane
Dansk
English
Søg efter indhold i Region Sjælland
Forside
Profiler
Forskningsenheder
Projekter
Publikationer
Priser
Aktiviteter
Undervisning og vejledning
Presse/medier
Impacts
Linking Lipidomics to Vulnerable Coronary Plaques: A PROSPECT II Substudy
Tania Sharma
*
, Tove Fall
, Sergi Sayols-Baixeras
, Akiko Maehara
, Michael Maeng
, Lars Kjøller-Hansen
, Thomas Engstrøm
, Ori Ben-Yehuda
, Mitsuaki Matsumura
, Ole Fröbert
, Jonas Persson
, Rune Wiseth
, Alf Inge Larsen
, J Gustav Smith
, Gunnar Engström
, Johan Ärnlöv
, Jan Borén
, Ramzi Khamis
, Sotirios Tsimikas
, Sasha Koul
Rebecca Rylance, Ziad A Ali, Stefan K James, Gregg W Stone, David Erlinge
Vis 5 andre
Vis mindre
*
Corresponding author af dette arbejde
Kardiologisk Afdeling
Publikation
:
Bidrag til tidsskrift
›
Artikel
›
Forskning
›
peer review
Oversigt
Fingeraftryk
Fingeraftryk
Udforsk hvilke forskningsemner 'Linking Lipidomics to Vulnerable Coronary Plaques: A PROSPECT II Substudy' indeholder.
Sorter
Vægt
Alfabetisk
Keyphrases
Myocardial Infarction
100%
Lipidomics
100%
Lipids
100%
Plaque
100%
Plaque Burden
100%
Palmitoyl-CoA
100%
Sphingomyelin
100%
Lipid Metabolites
100%
Calcified Coronary Lesions
100%
High Risk
66%
Coronary Computed Tomography Angiography
66%
Vulnerable Plaque
66%
Coronary Plaque Characteristics
66%
Lipid Core Burden Index
66%
Circulating Lipids
66%
Lipid Species
66%
SCAPIS
66%
Revascularization
33%
Intravascular Ultrasound
33%
Intracoronary Imaging
33%
Large Cohort
33%
Coronary Artery Calcium Score
33%
Multivariable Model
33%
Near-infrared Spectroscopy
33%
Therapeutic Strategies
33%
Fatty Acids
33%
Multiple Testing
33%
Mass Spectrometry
33%
New Therapeutics
33%
Diagnostic Strategy
33%
New Diagnostics
33%
Multimodality
33%
Plaque Formation
33%
Plaque Progression
33%
Validation Cohort
33%
Phosphatidylethanolamine
33%
Metabolic Alterations
33%
Coronary Artery Imaging
33%
Inverse Association
33%
Feature-based
33%
Segment Involvement Score
33%
Lipid Burden
33%
Coronary Plaque Burden
33%
Dihydrosphingomyelin
33%
Nonflow
33%
Metabolic Pathways
33%
Bioimage
33%
Inverse Patterns
33%
Lipid Imaging
33%
Dicarboxylate
33%
Biochemistry, Genetics and Molecular Biology
Lipidomics
100%
Lipid
100%
Metabolite
27%
Sphingomyelin
27%
Mass Spectrometry
9%
Infrared Radiation
9%
Blood Plasma
9%
Phosphatidylethanolamine
9%
Medicine and Dentistry
Glycerophosphoethanolamine
12%