Chan Jonathan, Sari Ismail, Salonen David, Inman Robert D, Haroon Nigil
From the Spondylitis Program, Toronto Western Hospital; Division of Rheumatology, Department of Medicine, University of Toronto; Department of Radiology, Toronto Western Hospital, Toronto, Ontario; Department of Rheumatology, University of British Columbia, Vancouver, British Columbia, Canada; Department of Rheumatology, Dokuz Eylul University School of Medicine, Izmir, Turkey.J. Chan, MD, FRCPC, Spondylitis Program, Toronto Western Hospital, and Division of Rheumatology, Department of Medicine, University of Toronto, and Department of Rheumatology, University of British Columbia; I. Sari, MD, Spondylitis Program, Toronto Western Hospital, and Division of Rheumatology, Department of Medicine, University of Toronto, and Department of Rheumatology, Dokuz Eylul University School of Medicine; D. Salonen, MD, FRCPC, Department of Radiology, Toronto Western Hospital; R.D. Inman, MD, FRCPC, FACP, Spondylitis Program, Toronto Western Hospital, and Division of Rheumatology, Department of Medicine, University of Toronto; N. Haroon, MD, PhD, DM, Spondylitis Program, Toronto Western Hospital, and Division of Rheumatology, Department of Medicine, University of Toronto.
J Rheumatol. 2016 Sep;43(9):1687-94. doi: 10.3899/jrheum.150939. Epub 2016 Jul 15.
To develop a screening tool for the identification of sacroiliitis on abdominal computed tomography (CT) scan.
Variables including erosions (number and size), sclerosis (depths of > 0.3 cm or > 0.5 cm), and ankylosis were identified through a training exercise involving 12 CT scans containing the sacroiliac joints. Two blinded readers read 24 CT scans from a derivation cohort to propose a screening tool for identifying discriminating features of sacroiliitis. A test cohort of 68 patients was used to confirm the utility of this tool. Inter- and intraobserver values, sensitivity, specificity, and positive/negative likelihood ratios were calculated for individual as well as combinations of variables. Erosions were evaluated using receiver-operating characteristic curves.
Analysis of the derivation cohort determined that counting the number of erosions on the worst coronal slice in each of 4 articular surfaces was not inferior to analyzing each individual slice in either transverse or coronal view. In the test cohort, interreader reliability for ankylosis and iliac and sacral erosions was very good (κ = 1, ICC = 0.989 and 0.995, respectively) whereas for sclerosis, it was moderate (κ = 0.39-0.96). A total erosion score of ≥ 3 was found to have the highest sensitivity and specificity for sacroiliitis (91% for each). The addition of a > 0.5 cm of iliac sclerosis or a > 0.3 cm of sacral sclerosis marginally increased the sensitivity (94%) but decreased specificity (85%).
The presence of ankylosis or a total erosion score of ≥ 3 on CT is sufficient for identifying patients at high risk of sacroiliitis and may prompt more timely referrals to a rheumatologist.
开发一种用于在腹部计算机断层扫描(CT)上识别骶髂关节炎的筛查工具。
通过一项涉及12张包含骶髂关节的CT扫描的训练练习,确定包括侵蚀(数量和大小)、硬化(深度>0.3 cm或>0.5 cm)和融合等变量。两名盲法阅片者阅读来自推导队列的24张CT扫描,以提出一种用于识别骶髂关节炎鉴别特征的筛查工具。使用68例患者的测试队列来确认该工具的效用。计算个体以及变量组合的观察者间和观察者内值、敏感性、特异性以及阳性/阴性似然比。使用受试者工作特征曲线评估侵蚀情况。
对推导队列的分析确定,计算4个关节面中每个关节面最差冠状面上的侵蚀数量,在识别骶髂关节炎方面并不逊于在横断或冠状视图中分析每个单独的切片。在测试队列中,融合以及髂骨和骶骨侵蚀的阅片者间可靠性非常好(κ分别为1、0.989和0.995),而对于硬化,可靠性为中等(κ = 0.39 - 0.96)。发现总侵蚀评分≥3对骶髂关节炎具有最高的敏感性和特异性(均为91%)。添加>0.5 cm的髂骨硬化或>0.3 cm的骶骨硬化略微提高了敏感性(94%),但降低了特异性(85%)。
CT上存在融合或总侵蚀评分≥3足以识别骶髂关节炎高危患者,并可能促使更及时地转诊至风湿病学家处。