Sarcoïdose cardiaque: sept points à rappeler pour ne pas manquer le diagnostic [Cardiac sarcoidosis: seven keypoints to remind in order to avoid misdiagnosis]

Details

Serval ID
serval:BIB_BC72BC1D7BAF
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Sarcoïdose cardiaque: sept points à rappeler pour ne pas manquer le diagnostic [Cardiac sarcoidosis: seven keypoints to remind in order to avoid misdiagnosis]
Journal
Revue medicale suisse
Author(s)
Porretta A.P., Van der Gucht A., Bisch L., Mitsakis P., Pomoni A., Allenbach G., Lalonde M.N., Schaefer N., Buss G., Prior J.O., Pruvot É.
ISSN
1660-9379 (Print)
ISSN-L
1660-9379
Publication state
Published
Issued date
25/05/2016
Peer-reviewed
Oui
Volume
12
Number
520
Pages
1035-1036,1038-1041
Language
french
Notes
Publication types: English Abstract ; Journal Article ; Review
Publication Status: ppublish
Abstract
Early diagnosis of cardiac sarcoidosis remains difficult in the absence of specific symptoms. The evolution and prognosis of the disease are strongly correlated to an early and appropriate treatment. The multi-modality assessment based on cardiac MRI and positron emission tomography associated with computed tomography (PET/CT) has significantly improved the detection of cardiac sarcoidosis over the last two decades. These approaches appear as useful and suitable imaging strategy for the early diagnosis, the assessment of the disease extent as well as the management and therapeutic follow-up. This article is a didactic review on cardiac sarcoidosis, with a special focus on recent diagnostic and therapeutic modalities, prognosis and interest of imaging techniques.
Keywords
Diagnostic Errors, Early Diagnosis, Humans, Magnetic Resonance Imaging/methods, Positron-Emission Tomography/methods, Prognosis, Sarcoidosis/diagnosis, Sarcoidosis/physiopathology, Sarcoidosis/therapy, Tomography, X-Ray Computed/methods
Pubmed
Create date
14/02/2017 16:36
Last modification date
17/08/2023 5:57
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