3D T1-weighted 黑血磁共振成像在巨细胞动脉炎诊断中的应用。
3D T1-weighted black-blood magnetic resonance imaging for the diagnosis of giant cell arteritis.
机构信息
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.
出版信息
Clin Exp Rheumatol. 2020 Mar-Apr;38 Suppl 124(2):95-98. Epub 2020 Apr 4.
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.
目的
影像学技术在巨细胞动脉炎（GCA）的诊断中占有越来越重要的地位。明确诊断 GCA 常常具有挑战性，尽管颞动脉活检的结果具有延迟性，但它仍被视为金标准。二维序列的 3T-MRI 已被用于检测颅外动脉的壁炎症，以支持 GCA 的诊断。
方法
我们评估了脂肪抑制三维 T1 加权黑血 MRI（CUBE T1）与三维 TOF 配准在检测中的诊断性能。
结果
共纳入 32 例临床疑似 GCA 的患者，其中 10 例诊断为 GCA。CUBE T1 的敏感性和特异性分别为 80%和 100%。因此，增强后 CUBE T1 的阳性预测值为 100%，阴性预测值为 92%。CUBE T1 上壁增强的观察者内和观察者间一致性分别为 1 和 0.83。
结论
我们证明 CUBE T1 可准确诊断 GCA。该技术的可重复性和较短的扫描时间支持 MRI 在诊断过程中的更广泛应用。
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