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基于超声波的手术内自动化刚性图像融合的临床验证,以更新使用手术前MRI的神经导航

Aliasgar V Moiyadi^1,2, Prakash Shetty^1,2, Vikas Singh^1,2

¹Neurosurgery Services, Department of Surgical Oncology, Tata Memorial Centre, Mumbai, India.

Operative neurosurgery (Hagerstown, Md.)

|March 17, 2025

概括

使用手术内超声波的自动刚性图像融合 (RIF) 与传统方法相比,大脑瘤手术的导航精度显著提高. 这种技术在不同手术阶段提高了精度,帮助外科医生获得更好的结果.

科学领域:

神经外科神经外科
医疗成像医学成像
图像指导疗法是指导图像的疗法.

背景情况:

基于MRI的神经导航的准确性可能有限.
导航式3D手术内超声波 (iUS) 提供了潜在的补偿.
自动化的刚性图像融合 (RIF) 集成了MRI和iUS数据.

研究的目的:

为了评估导航iUS的自动化RIF应用程序的准确性.
评估不同手术阶段的RIF性能.
分析影响RIF准确性的因素.

主要方法:

25名成年质瘤患者接受了导航性静脉注射器的手术.
目标注册错误 (TRE) 在术后得到量化.
线性混合模型分析了跨手术阶段 (BDO,ADO,APR,ACR) 的TRE和RIF性能.

主要成果:

RIF显著减少了TRE的平均值,从4.7毫米降至3.5毫米 (P<.002).
在切除前阶段 (BDO,ADO,APR) 的TRE减少显著,但在切除后阶段 (ACR) 没有显著.
独立于瘤因素,RIF改善了TRE,并提高了准确性,预对齐误差高达±15毫米.

结论:

自动化RIF与导航性IUS增强了在内瘤手术中的注册准确性.
该技术在切割前和一些切割后的手术阶段提供可靠的准确性.
RIF是改进图像引导神经外科手术程序的宝贵工具.

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