Large-vessel vasculitis
3D T1-weighted black-blood magnetic resonance imaging for the diagnosis of giant cell arteritis
C. Rodriguez-Régent1, W. Ben Hassen2, P. Seners3, C. Oppenheim4, A. Régent5
- Département d’Imagerie, Pôle Neuro Sainte Anne, GHT Paris, Psychiatrie & Neurosciences, Paris, and INSERM U1266, Institut de Psychiatrie et Neurosciences de Paris, France.
- Département d’Imagerie, Pôle Neuro Sainte Anne, GHT Paris, Psychiatrie & Neurosciences, Paris, and INSERM U1266, Institut de Psychiatrie et Neurosciences de Paris, France.
- INSERM U1266, Institut de Psychiatrie et Neurosciences de Paris; Service de Neurologie, Pôle Neuro Sainte Anne, GHT Paris, Psychiatrie & Neurosciences; and Université Paris Descartes, Paris, France.
- Département d’Imagerie, Pôle Neuro Sainte Anne, GHT Paris, Psychiatrie & Neurosciences, Paris; INSERM U1266, Institut de Psychiatrie et Neurosciences de Paris; and Université Paris Descartes, Paris, France.
- Université Paris Descartes, and Service de Médecine Interne, Centre de Référence Maladies Auto-Immunes et Systémiques Rares, Hôpital Cochin, AP-HP, Paris, France. alexis.regent@aphp.fr
CER13012
2020 Vol.38, N°2 ,Suppl.124
PI 0095, PF 0098
Large-vessel vasculitis
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PMID: 32301421 [PubMed]
Received: 11/12/2019
Accepted : 11/03/2020
In Press: 04/04/2020
Published: 21/05/2020
Abstract
OBJECTIVES:
Imaging techniques have an increasing place in the diagnosis of giant cell arteritis (GCA). Achieving a confident diagnosis of GCA is often challenging and temporal artery biopsy is still considered as the gold standard despite the delayed results. 3T-MRI with 2D sequences has been evaluated for the detection of mural inflammation in extracranial arteries to support the diagnosis of GCA.
METHODS:
We evaluated the diagnostic performance of fat-suppressed 3D T1-weighted black-blood MRI (CUBE T1) with 3D TOF coregistration.
RESULTS:
Thirty-two patients with clinically suspected GCA were included and 10 had a diagnosis of GCA. Sensitivity and specificity of CUBE T1 were 80% and 100% respectively. Therefore, the positive predictive value of post-contrast CUBE T1 was 100% and the negative predictive value was 92%. Intra- and inter-observer agreement for mural enhancement on CUBE T1 was 1 and 0.83, respectively.
CONCLUSIONS:
We demonstrate that CUBE T1 is accurate for the diagnosis of GCA. The reproducibility and short scan duration of the technique support a wider use of MRI in the diagnosis process.
