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质子密度磁共振成像对后交通动脉瘤及周围软组织的附加预测价值及简单分类

Added Predictive Values of Proton Density Magnetic Resonance Imaging on Posterior Communicating Artery Aneurysms and Surrounding Soft Tissues with Simple Classification.

作者信息

Yoon Sun, Kim Min Jeoung, Han Hyun Jin, Park Keun Young, Chung Joonho, Kim Yong Bae

机构信息

Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Department of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

出版信息

J Korean Neurosurg Soc. 2023 Jul;66(4):418-425. doi: 10.3340/jkns.2022.0259. Epub 2023 Jan 2.

Abstract

OBJECTIVE

Deciphering the anatomy of posterior communicating artery (PCoA) aneurysms in relation to surrounding structures is essential to determine adjuvant surgical procedures. However, it is difficult to predict surgical structures through preoperative imaging studies. We aimed to present anatomical structures using preoperative high-resolution three-dimensional proton densityweighted turbo spin-echo magnetic resonance (PDMR) imaging with simple classification.

METHODS

From January 2020 to April 2022, 30 patients underwent PDMR before microsurgical clipping for unruptured PCoA aneurysms in a single tertiary institute. We retrospectively reviewed the radiographic images and operative data of these patients. The structural relationship described by PDMR and intraoperative findings were compared. Subsequently, we classified aneurysms into two groups and analyzed the rate of adjuvant surgical procedures and contact with the surrounding structures.

RESULTS

Correlations between preoperative PDMR predictions and actual intraoperative findings for PCoA aneurysm contact to the oculomotor nerve, temporal uncus, and anterior petroclinoid fold (APCF) reported a diagnostic accuracy of 0.90, 0.87, and 0.90, respectively. In 12 patients (40.0%), an aneurysm dome was located on the plane of the oculomotor triangle and was classified as the infratentorial type. Compared to the supratentorial type PCoA aneurysm, adjuvant procedures were required more frequently (66.7% vs. 22.2%, p=0.024) for infratentorial type PCoA aneurysm clipping.

CONCLUSION

Preoperative PCoA aneurysm categorization using PDMR can be helpful for predicting surgical complexity and planning of microsurgical clipping.

摘要

目的

阐明后交通动脉(PCoA)动脉瘤与周围结构的解剖关系对于确定辅助手术方法至关重要。然而,通过术前影像学研究很难预测手术结构。我们旨在利用术前高分辨率三维质子密度加权快速自旋回波磁共振(PDMR)成像并进行简单分类来呈现解剖结构。

方法

2020年1月至2022年4月,在一家三级医疗机构中,30例未破裂PCoA动脉瘤患者在显微手术夹闭前接受了PDMR检查。我们回顾性分析了这些患者的影像学图像和手术数据。比较了PDMR描述的结构关系与术中发现。随后,我们将动脉瘤分为两组,并分析了辅助手术方法的发生率以及与周围结构的接触情况。

结果

术前PDMR预测与PCoA动脉瘤与动眼神经、颞叶钩回和岩床前襞(APCF)接触的实际术中发现之间的相关性,诊断准确率分别为0.90、0.87和0.90。12例患者(40.0%)的动脉瘤瘤顶位于动眼神经三角平面,被分类为幕下型。与幕上型PCoA动脉瘤相比,幕下型PCoA动脉瘤夹闭时更频繁地需要辅助手术(66.7%对22.2%,p = 0.024)。

结论

使用PDMR对术前PCoA动脉瘤进行分类有助于预测手术复杂性和显微手术夹闭的规划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c5e/10323277/4cdbe45a7f18/jkns-2022-0259f1.jpg

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