Department of Radiology, Rothschild Hospital Foundation, 75019 Paris, France.
Department of Ophthalmology, Rothschild Hospital Foundation, 75019 Paris, France.
Diagn Interv Imaging. 2022 Feb;103(2):103-110. doi: 10.1016/j.diii.2021.09.008. Epub 2021 Oct 16.
The purpose of this study was to identify which combination of imaging modalities should be used to obtain the best diagnostic performance for the non-invasive diagnosis of giant cell arteritis (GCA).
This IRB-approved prospective single-center study enrolled participants presenting with a suspected diagnosis of GCA from December 2014 to October 2017. Participants underwent high-resolution 3T magnetic resonance imaging (MRI), temporal and extra-cranial arteries ultrasound and retinal angiography (RA), prior to temporal artery biopsy (TAB). Diagnostic accuracy of each imaging modality alone, then a combination of several imaging modalities, was evaluated. Several algorithms were constructed to test optimal combinations using McNemar test.
Forty-five participants (24 women, 21 men) with mean age of 75.4 ± 16 (SD) years (range: 59-94 years) were enrolled; of these 43/45 (96%) had ophthalmological symptoms. Diagnosis of GCA was confirmed in 25/45 (56%) patients. Sensitivity and specificity of MRI, ultrasound and RA alone were 100% (25/25; 95% CI: 86-100) and 86% (19/22; 95% CI: 65-97), 88% (22/25; 95% CI: 69-97) and 84% (16/19; 95% CI: 60-97), 94% (15/16; 95% CI: 70-100) and 74% (14/19; 95% CI: 49-91), respectively. Sensitivity, specificity, positive predictive and negative predictive values ranged from 95 to 100% (95% CI: 77-100), 67 to 100% (95% CI: 38-100), 81 to 100% (95% CI: 61-100) and 91 to 100% (95% CI: 59-100) when combining several imaging tests, respectively. The diagnostic algorithm with the overall best diagnostic performance was the one starting with MRI, followed either by ultrasound or RA, yielding 100% sensitivity (22/22; 95% CI: 85-100%) 100% (15/15; 95% CI: 78-100) and 100% accuracy (37/37; 95% CI: 91-100).
The use of MRI as the first imaging examination followed by either ultrasound or RA reaches high degrees of performance for the diagnosis of GCA and is recommended in daily practice.
本研究旨在确定哪种影像学组合方式可用于提高巨细胞动脉炎(GCA)的无创诊断效能。
本研究为经机构审查委员会批准的前瞻性单中心研究,纳入 2014 年 12 月至 2017 年 10 月期间疑似 GCA 的患者。所有患者均于颞动脉活检(TAB)前行高分辨率 3T 磁共振成像(MRI)、颞动脉和颅外动脉超声及视网膜血管造影(RA)检查。单独评估每种影像学检查的诊断效能,然后评估几种影像学检查联合的诊断效能。使用 McNemar 检验构建了几种算法以测试最佳组合。
共纳入 45 例(24 例女性,21 例男性)平均年龄为 75.4±16(SD)岁(59-94 岁);其中 43/45(96%)患者有眼部症状。25/45(56%)例患者确诊为 GCA。MRI、超声和 RA 单独检查的敏感性和特异性分别为 100%(25/25;95%CI:86-100)和 86%(19/22;95%CI:65-97)、88%(22/25;95%CI:69-97)和 84%(16/19;95%CI:60-97)、94%(15/16;95%CI:70-100)和 74%(14/19;95%CI:49-91)。当联合几种影像学检查时,其敏感性、特异性、阳性预测值和阴性预测值范围分别为 95-100%(95%CI:77-100)、67-100%(95%CI:38-100)、81-100%(95%CI:61-100)和 91-100%(95%CI:59-100)。总体诊断效能最佳的诊断算法为首先行 MRI 检查,然后行超声或 RA,其敏感性为 100%(22/22;95%CI:85-100%),特异性为 100%(15/15;95%CI:78-100%),准确性为 100%(37/37;95%CI:91-100%)。
MRI 作为首选影像学检查,然后行超声或 RA,对于 GCA 的诊断可达到较高的效能,推荐在临床实践中应用。