常用动脉自旋标记技术的重测信度。
Test-retest reliability of arterial spin labeling with common labeling strategies.
机构信息
Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
出版信息
J Magn Reson Imaging. 2011 Apr;33(4):940-9. doi: 10.1002/jmri.22345.
PURPOSE
To compare the test-retest reproducibility of three variants of arterial spin labeling (ASL): pseudo-continuous (pCASL), pulsed (PASL) and continuous (CASL).
MATERIALS AND METHODS
Twelve healthy subjects were scanned on a 3.0T scanner with PASL, CASL, and pCASL. Scans were repeated within-session, after 1 hour, and after 1 week to assess reproducibility at different scan intervals.
RESULTS
Comparison of within-subject coefficients of variation (wsCV) demonstrated high within-session reproducibility (ie, low wsCV) for CASL-based methods (gray matter [GM] wsCV for pCASL: 3.5% ± 0.02%, CASL: 4.1% ± 0.07%) compared to PASL (wsCV: 7.5% ± 0.06%), due to the higher signal-to-noise ratio (SNR) associated with continuous labeling, evident in the 20% gain in temporal SNR and 58% gain in raw SNR for pCASL relative to PASL. At the 1-week scan interval, comparable reproducibility between PASL (GM wsCV 9.2% ± 0.12%) and pCASL (GM wsCV 8.5% ± 0.14%) was observed, indicating the dominance of physiological fluctuations.
CONCLUSION
Although all three approaches are capable of measuring cerebral blood flow within a few minutes of scanning, the high precision and SNR of pCASL, with its insensitivity to vessel geometry, make it an appealing method for future ASL application studies.
目的
比较三种动脉自旋标记（ASL）变体（伪连续式 ASL [pCASL]、脉冲式 ASL [PASL]和连续式 ASL [CASL]）的测试-再测试可重复性。
材料与方法
12 名健康受试者在 3.0T 扫描仪上接受 PASL、CASL 和 pCASL 扫描。在同一时段内、1 小时后和 1 周后重复扫描，以评估不同扫描间隔的可重复性。
结果
比较受试者内变异系数（wsCV），基于 CASL 的方法（灰质 [GM] pCASL 的 wsCV：3.5%±0.02%，CASL：4.1%±0.07%）显示出较高的同时间段内可重复性（即低 wsCV），与 PASL（wsCV：7.5%±0.06%）相比，这归因于连续标记相关的更高信噪比（SNR），这在 pCASL 相对于 PASL 的 20%的时间 SNR 增益和 58%的原始 SNR 增益中显而易见。在 1 周的扫描间隔，观察到 PASL（GM wsCV 9.2%±0.12%）和 pCASL（GM wsCV 8.5%±0.14%）之间具有可比性的可重复性，表明生理波动的主导作用。
结论
尽管三种方法都能够在扫描几分钟内测量脑血流，但 pCASL 的高精度和 SNR，以及其对血管几何形状的不敏感性，使其成为未来 ASL 应用研究的一种有吸引力的方法。
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