Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland.
Division of Neuroradiology, Department of Radiology, Kantonsspital Aarau, Aarau, Switzerland.
Acta Neurochir (Wien). 2022 Aug;164(8):2173-2179. doi: 10.1007/s00701-022-05156-3. Epub 2022 Mar 3.
Growing evidence suggests that three-dimensional digital subtraction angiography (3D-DSA) is superior to 2D-DSA in detection of intracranial aneurysm (IA) remnants after clipping. With a simple, practical quantitative scale proposed to measure maximal remnant dimension on 3D-DSA, this study provides a rigorous interrater and intrarater reliability and agreement study comparing this newly established scale with a commonly used (Sindou) 2D-DSA scale.
Records of 43 patients with clipped IAs harboring various sized remnants who underwent 2D- and 3D-DSA between 2012 and 2018 were evaluated. Using the 2D and 3D scales, six raters scored these remnants and repeated the scoring task 8 weeks later. Interrater and intrarater agreement for both grading schemes were calculated using kappa (κ) statistics.
Interrater agreement was highly significant, yielding κ-values at 95% CI (p = 0.000) of 0.225 for the first [0.185; 0.265] and 0.368 s [0.328; 0.408] time points for 2D-DSA and values of 0.700 for the first [0.654; 0.745] and 0.776 s [0.729; 0.822] time points for 3D-DSA. Intrarater agreement demonstrated κ-values between 0.139 and 0.512 for 2D-DSA and between 0.487 and 0.813 for 3D-DSA scores.
Interrater and intrarater agreement was minimal or weak for 2D-DSA scores, but strong for 3D-DSA scores. We propose that baseline 3D-DSA characterization may prove more reliable when categorizing clipped IA remnants for purposes of risk stratification and lifelong follow-up.
越来越多的证据表明,三维数字减影血管造影(3D-DSA)在检测夹闭后颅内动脉瘤(IA)残端方面优于二维数字减影血管造影(2D-DSA)。本研究提出了一种简单实用的定量评分标准,用于测量 3D-DSA 上最大残端尺寸,对该新建立的评分标准与常用的(Sindou)2D-DSA 评分标准进行了严格的组内和组间可靠性和一致性研究。
评估了 2012 年至 2018 年间接受 2D 和 3D-DSA 检查的夹闭存在各种大小残端的 43 例患者的记录。使用 2D 和 3D 评分,六名评分者对这些残端进行评分,并在 8 周后重复评分任务。使用κ(κ)统计计算两种评分方案的组内和组间一致性。
组间一致性非常显著,在 2D-DSA 的第一次[0.185;0.265]和 0.368 s[0.328;0.408]时间点和 3D-DSA 的第一次[0.654;0.745]和 0.776 s[0.729;0.822]时间点的 95%CI(p=0.000)的κ 值分别为 0.225 和 0.700。组内一致性在 2D-DSA 时为 0.139 至 0.512,在 3D-DSA 时为 0.487 至 0.813。
2D-DSA 评分的组内和组间一致性为最小或弱,但 3D-DSA 评分的一致性较强。我们提出,基线 3D-DSA 特征分析可能在为分层风险和终身随访目的对夹闭 IA 残端进行分类时更可靠。