利用三维运动敏化驱动平衡预处理 T1 加权快速自旋回波成像识别硬膜远端环:应用于副棘动脉瘤。

Maya Oki, Tatsuya Oki, Ryuta Ito, Neil Roberts, Yoshiyuki Watanabe
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引用次数: 0

摘要

目的:本研究探讨了三维运动敏化驱动平衡制备的 T1 加权快速自旋回波(3D MSDE-FSE)成像识别硬膜远端环(DDRs)和硬膜旁动脉瘤(ParaC-ANs)以及区分硬膜内和硬膜外 ParaC-ANs 的能力,并将其与基于磁共振蝶形图的成熟技术进行了比较。方法:在 3T 磁共振成像系统上对 53 名未破裂和未治疗的 ParaC-AN 患者采集了三维 MSDE-FSE 图像、稳态采集快速成像(FIESTA)和飞行时间磁共振血管成像(TOF-MRA)。两名放射科医生采用 3 级评分法对三维 MSDE-FSE 和 FIESTA 图像中描绘的 DDR(左侧 53 个,右侧 53 个)和 ParaC-ANs(共 55 个)的清晰度进行评分。两位评估者对三维 MSDE-FSE 和 FIESTA 图像的清晰度评分取平均值,通过 Wilcoxon 符号秩检验进行比较。此外,同几位放射科医生在三维 MSDE-FSE 图像上将 ParaC-AN 划分为硬膜内、硬膜外或过渡性。第三位放射科医生根据 FIESTA 和 MRA 融合图像独立将 ParaC-ANs 分为硬膜内、硬膜外或过渡性。用卡帕系数将这一分类与基于三维 MSDE-FSE 图像的分类进行比较:Wilcoxon符号秩检验显示,三维 MSDE-FSE 图像和 FIESTA 图像在 DDR 的清晰度评分方面无明显差异(P = 0.119)。然而,三维 MSDE-FSE 图像的 ParaC-ANs 清晰度评分明显高于 FIESTA 图像(P 结论:三维 MSDE-FSE 图像通过直接识别 DDR 有可能区分硬膜内和硬膜外 ParaC-AN。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of the Distal Dural Ring Using Three-dimensional Motion-sensitized Driven-equilibrium Prepared T1-weighted Fast Spin Echo Imaging: Application to Paraclinoid Aneurysms.

Purpose: This study investigated the ability of three-dimentional motion-sensitized driven-equilibrium prepared T1-weighted fast spin echo (3D MSDE-FSE) imaging to identify distal dural rings (DDRs) and paraclinoid aneurysms (ParaC-ANs) and differentiate between intradural and extradural ParaC-ANs and compared it with that of established MR cisternography-based techniques.

Methods: 3D MSDE-FSE images were acquired along with fast imaging employing steady state acquisition (FIESTA), and time-of-flight magnetic resonance angiography (TOF-MRA) on a 3T MRI system in 53 patients with unruptured and untreated ParaC-ANs. Two radiologists applied a 3-point scale to rate the clarity with which the DDR (53 left and 53 right) and ParaC-ANs (total of 55) were depicted in the 3D MSDE-FSE and FIESTA images. The clarity scores, which were determined by averaging the scores of the 2 assessors, on the 3D MSDE-FSE and FIESTA images were compared using the Wilcoxon signed-rank test. Furthermore, the same radiologists classified the ParaC-ANs as intradural, extradural, or transitional on 3D MSDE-FSE images. A third radiologist independently classified the ParaC-ANs as intradural, extradural, or transitional based on the FIESTA and MRA fusion images. The kappa coefficient was used to compare this classification with that based on 3D MSDE-FSE images.

Results: The Wilcoxon signed-rank test revealed no significant difference between 3D MSDE-FSE images and FIESTA images in the scores for the clarity of depiction of the DDRs (P = 0.119). However, the scores for the clarity of the depiction of the ParaC-ANs were significantly greater for the 3D MSDE-FSE images than for the FIESTA images (P < 0.001). The kappa coefficient for comparison of classification based on 3D MSDE-FSE images and FIESTA and MRA fusion images was 0.82.

Conclusion: 3D MSDE-FSE imaging has the potential to differentiate between intradural and extradural ParaC-ANs by directly recognizing the DDR.

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