用动脉自旋标记灌注mri评估脑肿瘤血管性——一种预测患者预后的术前工具

IF 0.3 Q4 SURGERY
Nidhi Rai, Rupi Jamwal, B. Singh, Jyoti Gupta, K. Shankar, Sufiyan Zaheer
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引用次数: 0

摘要

脑肿瘤仍然是全球发病率和死亡率的重要原因。术前对肿瘤血管的评估对神经外科医生具有重要意义。我们的研究目的是通过动脉自旋标记灌注成像(ASL-PI)将肿瘤血流量(TBF)与微血管密度(MVD)、肿瘤分级和脑肿瘤术前预后联系起来。材料和方法本研究是一项前瞻性观察性横断面研究,研究对象为63例已接受磁共振成像的原发性脑肿瘤患者。用ASL-PI计算绝对、相对平均和最大TBF,并与肿瘤分级和MVD在10倍和40倍倍率下相关;从而研究ASL-PI在脑肿瘤预后中的作用。结果脑胶质瘤组、脑膜瘤组、神经鞘瘤组、颅咽管瘤组和血管母细胞瘤组的maxTBF平均值(mL/min/100 g)分别为147.15、251.55、96.43、43.3和578.3。神经胶质瘤组、脑膜瘤组、神经鞘瘤组、颅咽管瘤组和血管母细胞瘤组的maxTBF值中位数分别为131.5、158.63、94.5、43.4和578.3。10倍放大时,meanTBF与MVD显著相关(p值< 0.001,rho =0.88), 40倍放大时,meanTBF与MVD呈正相关(p值< 0.001)。放大10倍时maxTBF和MVD之间也存在显著相关性(p值< 0.001,rho = 0.91),放大40倍时maxTBF和MVD之间也存在显著相关性。血管母细胞瘤的TBF高于其他类型的脑肿瘤(胶质瘤、脑膜瘤和神经鞘瘤)。与预后较差的低级别胶质瘤相比,高级别胶质瘤的tbf值较高。典型脑膜瘤的TBF高,而非典型脑膜瘤的TBF低。结论ASL-PI法测定TBF可作为一种无创的体内指标预测脑肿瘤的分级,进一步帮助预测脑肿瘤患者的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain Tumor Vascularity Estimation by Arterial Spin Label Perfusion MRI—A Preoperative Tool for Patient Prognostication
Abstract Introduction  Brain tumors remain a significant cause of morbidity and mortality around the globe. Preoperative estimation of tumor vascularity is of great significance for a neurosurgeon. Aim of our study was to correlate tumor blood flow (TBF) using arterial spin labeling perfusion imaging (ASL-PI) with microvessel density (MVD), tumor grade, and preoperative prognostication of brain tumors. Materials and Methods  This was a prospective observational cross-sectional study conducted in 63 patients of primary brain tumors already referred for magnetic resonance imaging. Absolute and relative mean and maximum TBF were calculated using ASL-PI and correlated with tumor grade and MVD at 10x and 40x magnificantion; thereby stydying the role of ASL-PI in brain tumor prognostication. Results  The mean of maxTBF values (mL/min/100 g) in the gliomas group, meningiomas group, schwannoma group, craniopharyngioma group, and hemangioblastoma group was 147.15, 251.55, 96.43, 43.3, and 578.3, respectively. The median of maxTBF value in the gliomas group, meningiomas group, schwannoma group, craniopharyngioma group, and hemangioblastoma group was 131.5, 158.63, 94.5, 43.4, and 578.3, respectively. Discussion  Significant correlation between meanTBF and MVD at 10X magnification ( p -value < 0.001, rho =0.88) and a positive correlation between meanTBF and MVD at 40X magnification ( p -value < 0.001) were seen. Significant correlation was also seen between maxTBF and MVD at 10X magnification ( p -value < 0.001, rho = 0.91) and between maxTBF and MVD at 40X magnification. TBF in case of the hemangioblastoma was higher than other types of brain tumors (gliomas, meningiomas, and schwannomas). HighTBF value was seen in high-grade gliomas compared with low-grade gliomas with worse prognosis. TBF was high in typical meningiomas whereas low in atypical meningioma. Conclusion  TBF by ASL-PI can be considered a noninvasive in vivo marker in predicting the grade of brain tumors and further assist in envisaging prognosis of the patients with brain tumors.
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