CSF Susceptibility Variation in Patient With Intracranial Hemorrhage: Implications for Quantitative Susceptibility Mapping Reference Selection.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Computer Assisted Tomography Pub Date : 2024-09-04 DOI:10.1097/RCT.0000000000001660
Shutao Wang, Pascal Spincemaille, Magdy Selim, David Hasan, Ajith J Thomas, Aristotelis Filippidis, Yan Wen, Yi Wang, Salil Soman
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Abstract

Background: Quantitative susceptibility mapping (QSM) is an emerging MRI technique with multiple clinical applications. As tissue susceptibility cannot be directly measured using MRI, QSM imaging techniques must indirectly compute susceptibility values, requiring regularization methods. CSF is a popular choice for regularization due to its near water susceptibility in healthy controls. However, the impact of pus, elevated protein, or blood dissolved in CSF on QSM regularization is not well defined.

Objective: This study aimed to investigate the effects of intracranial hemorrhage (ICH) on selecting CSF as reference for QSM imaging.

Materials and methods: A total of 87 subjects, 53 with ICH (5 intraventricular, 19 subarachnoid, 27 both, and 2 intraparenchymal only) and 37 without hemorrhage (27 with MS, 10 without MS), were included in this study. Imaging was performed using 3D multiecho gradient echo, FLAIR, and multiecho complex total field inversion (mcTFI) at 3 T. McTFI with and without CSF zero-referencing regularization was generated from the 3DMEGRE data and reviewed with FLAIR images. Regions of hemorrhagic (H+) and nonhemorrhagic (H-) CSF were manually selected in reference to head CT and FLAIR images by a PGY III diagnostic radiology resident and Certificate of Added Qualification-certified neuroradiologist with 10 years' experience. Paired Student t test and one-way ANOVA were used with post hoc multicomparisons. A P value <0.05 was considered statistically significant.

Results: Areas of H- CSF were noted to have higher regularized QSM values in subjects with ICH relative to subjects without. Unregularized H- QSM values were also noted to have a systematically higher value in ICH subjects relative to subjects without blood. Subjects with MS and without ICH did not show significant difference in H- CSF regularized or unregularized QSM values.

Conclusions: QSM values of areas suggested to not have hemorrhage on other imaging showed significantly higher QSM values in ICH subjects relative to subjects without ICH. Additionally, areas of hemorrhage did not show significant QSM value difference between regularized and unregularized QSM images. These findings suggest that, in subjects with any area of ICH, QSM values for no-hemorrhagic areas may be significantly altered using CSF regularization relative to subjects without ICH, with implications for intra- and intersubject QSM value analysis.

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颅内出血患者 CSF 易感性变异:定量易感性图谱参考选择的意义
背景:定量磁感应强度绘图(QSM)是一种新兴的磁共振成像技术,具有多种临床应用价值。由于磁共振成像无法直接测量组织的感度,因此 QSM 成像技术必须间接计算感度值,这就需要正则化方法。在健康对照组中,CSF 具有接近水的易感性,因此是正则化的热门选择。然而,CSF 中溶解的脓液、高蛋白或血液对 QSM 正则化的影响尚未明确:本研究旨在调查颅内出血(ICH)对选择 CSF 作为 QSM 成像参考的影响:本研究共纳入 87 名受试者,其中 53 名患有 ICH(5 名脑室内出血、19 名蛛网膜下腔出血、27 名脑室内出血和 2 名脑实质内出血),37 名无出血(27 名患有多发性硬化症,10 名无多发性硬化症)。成像采用三维多回波梯度回波、FLAIR和3 T多回波复合全场反转(mcTFI)技术。出血性(H+)和非出血性(H-)CSF区域由一名具有 10 年经验的放射诊断住院医师(PGY III)和经资格证书认证的神经放射科医师参照头部 CT 和 FLAIR 图像手动选择。采用配对学生 t 检验和单因素方差分析,并进行事后多重比较。A P 值 结果:有 ICH 的受试者与无 ICH 的受试者相比,H- CSF 区域的规则化 QSM 值更高。此外,还发现 ICH 受试者的非规则化 H- QSM 值系统地高于无血受试者。多发性硬化症患者和非 ICH 患者的 H- CSF 规则化或非规则化 QSM 值没有明显差异:结论:与无 ICH 的受试者相比,ICH 受试者中其他成像显示无出血区域的 QSM 值明显更高。此外,出血区域的 QSM 值在规则化和非规则化 QSM 图像之间没有明显差异。这些研究结果表明,在有任何 ICH 区域的受试者中,相对于无 ICH 的受试者,使用 CSF 正则化的无出血区域的 QSM 值可能会有明显改变,这对受试者内部和受试者之间的 QSM 值分析都有影响。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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