Comparison of MR T1 and T2 mapping parameters to characterize myocardial and skeletal muscle involvement in systemic idiopathic inflammatory myopathy (IIM).


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 20 09 2018
accepted: 30 01 2019
revised: 19 12 2018
pubmed: 9 3 2019
medline: 24 12 2019
entrez: 9 3 2019
Statut: ppublish

Résumé

To compare the performance of magnetic resonance (MR) relaxometry parameters to discriminate myocardial and skeletal muscle inflammation in idiopathic inflammatory myopathy (IIM) patients from healthy controls. For this retrospective case-control study, 20 consecutive IIM patients (54 ± 18 years, 11 females) with cardiac involvement (troponin level > 50 ng/l) and 20 healthy controls (47 ± 12 years, 9 females) were included. All patients without cardiac MR imaging < 2 weeks prior to the laboratory testings were excluded. T1/T2 relaxation times, as well as T1-derived extracellular volume (ECV), relative tissue T1 shortening ΔT1 = (native T1 All measured MR relaxometry parameters significantly discriminated IIM patients and healthy controls, except T2 in skeletal muscles and ECV in the myocardium. In skeletal muscles, post contrast T1 and T1-derived parameters showed the best performance to discriminate IIM patients from healthy controls (AUC = 0.98 for post contrast T1 and AUC 0.94-0.97 for T1-derived parameters). Inversely, in the myocardium, native T1 and T2 showed better diagnostic performance (AUC = 0.89) than post contrast T1 (AUC = 0.76), ECV (AUC = 0.58), ΔT1 (AUC = 0.80) and EHF (0.82). MR relaxometry parameters applied to the myocardium and skeletal muscles might be useful to separate IIM patients from healthy controls. However, different tissue composition and vascularization should be taken into account for their interpretation. ΔT1 and EHF may be simple alternatives to ECV in highly vascularized tissues such as the myocardium. • MR relaxometry parameters applied to the myocardium and skeletal muscles are highly useful to separate IIM patients from healthy controls. • Different tissue composition and vascularization should be taken into account for T1 and T2 mapping parameter interpretation. • ΔT1 and EHF may be simple alternatives to ECV in highly vascularized tissues such as the myocardium.

Identifiants

pubmed: 30847587
doi: 10.1007/s00330-019-06054-6
pii: 10.1007/s00330-019-06054-6
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5139-5147

Subventions

Organisme : Schweizerische Akademie der Medizinischen Wissenschaften (CH)
ID : HH15

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Auteurs

Adrian T Huber (AT)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Department of Cardiovascular and Thoracic Imaging and Interventional Radiology, Institute of Cardiology, Hôpital Pitié-Salpêtrière, Paris, France.
Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Jérôme Lamy (J)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Marine Bravetti (M)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Department of Cardiovascular and Thoracic Imaging and Interventional Radiology, Institute of Cardiology, Hôpital Pitié-Salpêtrière, Paris, France.

Khaoula Bouazizi (K)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Tania Bacoyannis (T)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.

Charles Roux (C)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Department of Cardiovascular and Thoracic Imaging and Interventional Radiology, Institute of Cardiology, Hôpital Pitié-Salpêtrière, Paris, France.

Alain De Cesare (A)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.

Aude Rigolet (A)

Department of Internal Medicine, Hôpital Pitié-Salpêtrière, Paris, France.

Olivier Benveniste (O)

Department of Internal Medicine, Hôpital Pitié-Salpêtrière, Paris, France.
Centre de Recherche en Myologie, INSERM UMR974, Sorbonne Université, Paris, France.

Yves Allenbach (Y)

Department of Internal Medicine, Hôpital Pitié-Salpêtrière, Paris, France.
Centre de Recherche en Myologie, INSERM UMR974, Sorbonne Université, Paris, France.

Mathieux Kerneis (M)

Department of Cardiology, Institute of Cardiology, Hôpital Pitié-Salpêtrière, Paris, France.

Philippe Cluzel (P)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Department of Cardiovascular and Thoracic Imaging and Interventional Radiology, Institute of Cardiology, Hôpital Pitié-Salpêtrière, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Alban Redheuil (A)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Department of Cardiovascular and Thoracic Imaging and Interventional Radiology, Institute of Cardiology, Hôpital Pitié-Salpêtrière, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Nadjia Kachenoura (N)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France. nadjia.kachenoura@inserm.fr.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France. nadjia.kachenoura@inserm.fr.

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