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三维定量颜色编码分析在预测大或巨大的ICA动脉瘤在洞穴部分流量转换器治疗的结果

Koichi Arimura¹, Yuya Koyanagi², Katsuma Iwaki²

¹From the Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan arimura.koichi.001@m.kyushu-u.ac.jp.

AJNR. American journal of neuroradiology

|February 19, 2026

概括

预测大内动脉动脉瘤的流量转移器治疗结果至关重要. 三维定量色彩编码分析 (3D-QCA) 过渡时间变化在预测这些复杂动脉瘤的治疗成功方面显示出希望.

科学领域:

神经内血管外科手术是一种神经内血管手术.
脑血管成像 - - 脑血管成像
干预性神经放射学干预性神经放射学

背景情况:

在流量转移器 (FD) 治疗后预测症状动脉瘤的完全消灭对于症状的缓解至关重要,特别是在洞穴部分 (IC-cav ANs) 的大或巨大的内动脉动脉瘤.
三维定量颜色编码分析 (3D-QCA) 是4D数字减去血管学 (DSA) 的先进应用,用于评估FD治疗前后的血液动力学变化.

研究的目的:

评估3D-QCA在预测FD放置后大型或巨型IC-cav ANs治疗结果方面的有效性.
评估3D-QCA对预测FD治疗成功的外科实用性.

主要方法:

在10名患有大或巨型IC-cav ANs的患者中,在FD部署之前和之后获得了3D-QCA图像.
通过3D-QCA在内动脉特定区域测量过渡时间 (Δ过渡时间).
计算了3D-QCA传输时间的变化率 (后FD Δ传输时间/前FD Δ传输时间),并与6个月后的O'Kelly-Marotta (OKM) 分级相关联.

主要成果:

在没有附加线圈的情况下,在所有10个情况下,流量转移器都成功部署了.
在6个月的随访中,3名,3名和4名患者分别获得了OKM等级B,C和D.
在OKM等级D病例中 (57.8%) 与等级B和C (90.1%;P = .01) 相比,3D-QCA过渡时间的变化率明显较低.

结论:

3D-QCA证明了其作为预测大或巨型IC-cav ANs处理流量转移器的治疗结果的有效工具的潜力.
使用3D-QCA对血液动力学变化的术后评估可能有助于预测FD治疗复杂动脉瘤的成功.

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