Matsumoto Masaki, Mizutani Tohru, Sugiyama Tatsuya, Sumi Kenji, Arai Shintaro, Morofuji Yoichi
Department of Neurosurgery, Showa Medical University, Tokyo 142-8555, Japan.
Department of Neurosurgery, Showa Medical University Koto Toyosu Hospital, Tokyo 135-8577, Japan.
J Clin Med. 2025 Aug 22;14(17):5951. doi: 10.3390/jcm14175951.
: Current bone-based landmark approaches have shown variable accuracy and poor reproducibility. We validated a two-point "tuberculum sellae-anterior clinoid process" (TS-ACP) line traced on routine 3D-computed tomography angiography (CTA) for predicting distal dural ring (DDR) position and quantified the interobserver agreement. : We retrospectively reviewed data from 85 patients (87 aneurysms) who were treated via clipping between June 2012 and December 2024. Two blinded neurosurgeons classified each aneurysm as extradural, intradural, or straddling the TS-ACP line. The intraoperative DDR inspection served as the reference standard. Diagnostic accuracy, χ statistics, and Cohen's κ were calculated. : The TS-ACP line landmarks were identifiable in all cases. The TS-ACP line classification correlated strongly with operative findings (χ = 138.3, = 6.4 × 10). The overall accuracy was 89.7% (78/87), and sensitivity and specificity for identifying intradural aneurysms were 94% and 82%, respectively. The interobserver agreement was substantial (κ = 0.78). Nine aneurysms were misclassified, including four cavernous-sinus lesions that partially crossed the DDR. Retrospective fusion using constructive interference in steady-state magnetic resonance imaging corrected these errors. : The TS-ACP line represents a rapid, reproducible tool that reliably localizes the DDR on standard 3D-CTA, showing higher accuracy than previously reported single-landmark techniques. Its high accuracy and substantial inter-observer concordance support incorporation into routine preoperative assessments. Because the method depends on only two easily detectable bony points, it is well-suited for automated implementation, offering a practical pathway toward artificial intelligence-assisted stratification of paraclinoid aneurysms.
目前基于骨的标志点方法已显示出不同的准确性和较差的可重复性。我们验证了在常规三维计算机断层血管造影(CTA)上描绘的“鞍结节 - 前床突”(TS - ACP)两点连线,用于预测远侧硬脑膜环(DDR)位置,并量化了观察者间的一致性。
我们回顾性分析了2012年6月至2024年12月期间85例患者(87个动脉瘤)的夹闭治疗数据。两名不知情的神经外科医生将每个动脉瘤分类为硬膜外、硬膜内或跨越TS - ACP线。术中DDR检查作为参考标准。计算诊断准确性、χ统计量和科恩κ值。
所有病例中TS - ACP线标志点均清晰可辨。TS - ACP线分类与手术结果密切相关(χ = 138.3,P = 6.4 × 10⁻²⁵)。总体准确率为89.7%(78/87),识别硬膜内动脉瘤的敏感性和特异性分别为94%和82%。观察者间一致性较高(κ = 0.78)。9个动脉瘤被错误分类,包括4个部分穿过DDR的海绵窦病变。使用稳态磁共振成像中的建设性干扰进行回顾性融合纠正了这些错误。
TS - ACP线是一种快速、可重复的工具,能在标准三维CTA上可靠地定位DDR,显示出比先前报道的单标志点技术更高的准确性。其高准确性和较高的观察者间一致性支持将其纳入常规术前评估。由于该方法仅依赖于两个易于检测的骨点,非常适合自动化实施,为鞍旁动脉瘤的人工智能辅助分层提供了一条实用途径。