From the Department of Radiology (N.L., M.A.W., J.P.N., D.R.P., and J.M.P.), Oregon Health & Science University, Portland, Oregon.
From the Department of Radiology (N.L., M.A.W., J.P.N., D.R.P., and J.M.P.), Oregon Health & Science University, Portland, Oregon
AJNR Am J Neuroradiol. 2020 Apr;41(4):598-606. doi: 10.3174/ajnr.A6461. Epub 2020 Mar 12.
Anoxic brain injury is a result of prolonged hypoxia. We sought to describe the nonquantitative arterial spin-labeling perfusion imaging patterns of anoxic brain injury, characterize the relationship of arterial spin-labeling and DWI, and evaluate the normalized diffusion-to-perfusion ratio to differentiate patients with anoxic brain injury from healthy controls.
We identified all patients diagnosed with anoxic brain injuries from 2002 to 2019. Twelve ROIs were drawn on arterial spin-labeling with coordinate-matched ROIs identified on DWI. Linear regression analysis was performed to examine the relationship between arterial spin-labeling perfusion and diffusion signal. Normalized diffusion-to-perfusion maps were generated using a custom-built algorithm.
Thirty-five patients with anoxic brain injuries and 34 healthy controls were identified. Linear regression analysis demonstrated a significant positive correlation between arterial spin-labeling and DWI signal. By means of a combinatory cutoff of slope of >0 and R of > 0.78, linear regression using arterial spin-labeling and DWI showed a sensitivity of 0.86 (95% CI, 0.71-0.94) and specificity of 0.82 (95% CI, 0.66-0.92) for anoxic brain injuries. A normalized diffusion-to-perfusion color map demonstrated heterogeneous ratios throughout the brain in healthy controls and homogeneous ratios in patients with anoxic brain injuries.
In anoxic brain injuries, a homogeneously positive correlation between qualitative perfusion and DWI signal was identified so that areas of increased diffusion signal showed increased ASL signal. By exploiting this relationship, the normalized diffusion-to-perfusion ratio color map may be a valuable imaging biomarker for diagnosing anoxic brain injury and potentially assessing BBB integrity.
缺氧性脑损伤是长时间缺氧的结果。我们旨在描述缺氧性脑损伤的非定量动脉自旋标记灌注成像模式,描述动脉自旋标记与 DWI 的关系,并评估标准化的弥散-灌注比值以区分缺氧性脑损伤患者与健康对照者。
我们从 2002 年至 2019 年期间确定了所有被诊断为缺氧性脑损伤的患者。在动脉自旋标记上绘制了 12 个 ROI,在 DWI 上匹配了坐标识别的 ROI。进行线性回归分析以检查动脉自旋标记灌注与弥散信号之间的关系。使用定制的算法生成标准化的弥散-灌注图。
共确定了 35 例缺氧性脑损伤患者和 34 例健康对照者。线性回归分析表明动脉自旋标记与 DWI 信号之间存在显著的正相关。通过使用动脉自旋标记和 DWI 的斜率>0 和 R>0.78 的组合截断值,线性回归显示对于缺氧性脑损伤,其灵敏度为 0.86(95%置信区间,0.71-0.94),特异性为 0.82(95%置信区间,0.66-0.92)。标准化的弥散-灌注彩色图显示健康对照者整个大脑的比值具有异质性,而缺氧性脑损伤患者的比值则具有均一性。
在缺氧性脑损伤中,定性灌注与 DWI 信号之间存在均匀的正相关,即弥散信号增加的区域显示出动脉自旋标记信号增加。通过利用这种关系,标准化的弥散-灌注比值彩色图可能是诊断缺氧性脑损伤和潜在评估 BBB 完整性的有价值的成像生物标志物。