Suppr超能文献

使用高场磁共振成像对小动物脑部成像时T1加权液体衰减反转恢复序列与T1加权快速自旋回波序列的比较。

Comparison of T1wFLAIR and T1wTSE sequences in imaging the brain of small animals using high-field MRI.

作者信息

Bergamino Chiara, Hoey Séamus, Waller Kenneth, Skelly Cliona

机构信息

1School of Veterinary Medicine Teaching Hospital, University College Dublin, Belfield, Dublin Ireland.

2Department of Surgical Sciences, University of Wisconsin, Madison, WI 53706 USA.

出版信息

Ir Vet J. 2019 Jul 6;72:6. doi: 10.1186/s13620-019-0145-5. eCollection 2019.

Abstract

BACKGROUND

T1w turbo spin echo (TSE) represents a fundamental sequence in magnetic resonance imaging (MRI) protocols investigating the brain. Recent human literature has reported T1w Fluid Attenuated Inversion Recovery's (FLAIR's), superiority to T1wTSE in relation to tissue contrast for grey-to-white matter (GM-WM) and lesion-to-WM, although conflicting results are reported concerning lesion detection.To the author's knowledge, T1wFLAIR has not been investigated in veterinary medicine. The aim of this prospective study was to determine quantitatively and qualitatively which sequence provides better overall better image quality both pre- and post-gadolinium.

RESULTS

Twenty-eight animals underwent MRI of the brain with T1wTSE and T1wFLAIR sequences performed with equivalent mean acquisition times. Quantitative assessment of the sequences was undertaken using contrast-to-noise (CNR) and signal-to-noise (SNR) ratios from predefined locations. T1wFLAIR provided a better CNR compared to T1wTSE, while T1wTSE provided better SNR due to the higher noise levels of T1wFLAIR images. Qualitative assessment of the sequences was performed using Visual Grading Analysis Scoring (VGAS) for a number of criteria by three observers on two separate occasions. T1wFLAIR performed better for cerebrospinal fluid (CSF) suppression, white-to-grey matter (WM-GM) and white matter-to-CSF (WM-to-CSF) definition in both pre- and post-contrast images whereas the T1wTSE sequence was less affected by noise levels. The individual parameter for overall image quality found no significant difference between the two sequences. However, the composite VGAS favored T1wFLAIR as the preferred sequence. Although case numbers were insufficient for statistical analysis, comparison of the sequences indicates that lesion definition and margination was better in T1wFLAIR pre-contrast images, however post-contrast lesion detection was almost equivalent between sequences with slightly better margination in the T1wTSE sequence.

CONCLUSIONS

T1wFLAIR provides better CNR with better WM-GM and WM-CSF definition both pre- and post-contrast compared to T1wTSE albeit with a higher degree of noise; this was confirmed both quantitatively and qualitatively. Our results also suggest that T1wFLAIR is better for lesion detection and margination pre-contrast administration and sequences are relatively equivocal post-gadolinium administration although further research is required to determine the benefit that inversion recovery sequences make when investigating brain lesions in small animal MRI.

摘要

背景

T1加权快速自旋回波(TSE)是脑部磁共振成像(MRI)检查方案中的基本序列。近期的人类文献报道了T1加权液体衰减反转恢复序列(FLAIR)在灰质与白质(GM-WM)以及病变与白质的组织对比度方面优于T1加权TSE序列,尽管在病变检测方面报道的结果存在冲突。据作者所知,T1加权FLAIR序列尚未在兽医学中进行研究。这项前瞻性研究的目的是定量和定性地确定哪种序列在注射钆剂前后能提供更好的整体图像质量。

结果

28只动物接受了脑部MRI检查,采用T1加权TSE序列和T1加权FLAIR序列,平均采集时间相当。使用来自预定义位置的对比噪声比(CNR)和信噪比(SNR)对序列进行定量评估。与T1加权TSE相比,T1加权FLAIR提供了更好的CNR,而由于T1加权FLAIR图像的噪声水平较高,T1加权TSE提供了更好的SNR。由三名观察者在两个不同时间使用视觉分级分析评分(VGAS)对多个标准进行序列的定性评估。在注射造影剂前后的图像中,T1加权FLAIR在脑脊液(CSF)抑制、白质与灰质(WM-GM)以及白质与脑脊液(WM-to-CSF)的清晰度方面表现更好,而T1加权TSE序列受噪声水平的影响较小。整体图像质量的各个参数在两个序列之间没有发现显著差异。然而,综合VGAS评分更倾向于T1加权FLAIR作为首选序列。尽管病例数量不足以进行统计分析,但序列比较表明,在T1加权FLAIR的预造影图像中病变清晰度和边界更好,然而在注射造影剂后,序列之间的病变检测几乎相当,T1加权TSE序列的边界稍好一些。

结论

与T1加权TSE相比,T1加权FLAIR在注射造影剂前后均提供了更好的CNR,以及更好的WM-GM和WM-CSF清晰度,尽管噪声程度更高;这在定量和定性方面都得到了证实。我们的结果还表明,T1加权FLAIR在注射造影剂前对病变检测和边界确定更好,而在注射钆剂后序列相对不明确,尽管需要进一步研究来确定反转恢复序列在小动物MRI脑部病变研究中的益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1216/6612133/ba2d7e5dc9f1/13620_2019_145_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验