Share：
Share this content in WeChat
X
[Chinese][PDF]1215102
• Clinical Article •
Clinical value study of different post label delay of 3D-ASL and white matter lesion score in vascular cognitive impairment
XU Chang  WANG Wei 

Cite this article as: Xu C, Wang W. Clinical value study of different post label delay of 3D-ASL and white matter lesion score in vascular cognitive impairment. Chin J Magn Reson Imaging, 2020, 11(8): 630-634. DOI:10.12015/issn.1674-8034.2020.08.007.


[Abstract] Objective: To study the correlation between different post label delay (PLD) of magnetic resonance 3D arterial spin labeling (3D-ASL) technology, white matter lesions (WMLs) scores and cerebral blood flow (CBF) in vascular cognitive impairment (VCI).Materials and Methods: A total of 52 patients with ischemic cerebrovascular disease diagnosed in the department of neurology were collected. The MoCA scale was used for cognitive function assessment and the patients were divided into the cognitive impairment group (30 cases) and the cognitive normal group (22 cases). the 3D-ASL brain perfusion imaging techniques with different PLD (1.5 s, 2.5 s) was performed, and GE AW4.5 image post-processing software was applied to perform mirror symmetry measurements (CBF1.5, CBF2.5) in bilateral frontal parietal temporal lobe, hippocampus and thalamus. The WMLs scores of the two groups were compared and the correlation between WMLs score /MoCA scale score and CBF values of each brain area.Results: ①The WMLs scores of the VCI group and the control group were 4.87±1.68 and 2.77±1.66, respectively; the scores of the MoCA scale were 18.77±2.98 and 28.18±0.96, respectively, the differences were statistically significant (P=0.000). ②In patients with VCI, CBF1.5 is significantly decreased in the bilateral frontal-temporal lobe, hippocampus, and right thalamus, while CBF2.5 is only reduced in the bilateral frontal-temporal lobe, hippocampus; only the difference between CBF1.5 and CBF2.5 in the left /right frontal lobe was statistically significant (P=0.000/0.019). In all brain regions of all patients, the left and right frontal lobe CBF1.5/CBF2.5 were significantly negatively correlated with WMLs scores (r1.5=-0.567, -0.590/r2.5=-0.553,-0.558; P<0.05). MoCA scale score was positively correlated with CBF1.5 (bilateral frontotemporal lobe, hippocampus, right thalamus) /CBF2.5 (bilateral frontal lobe, hippocampus, left temporal lobe, right thalamus), with the highest frontal lobe correlation (left and right frontal lobe: r1.5=0.806, 0.688/r2.5=0.719, 0.620; P=0.000).Conclusions: PLD1.5 is more sensitive to detection of VCI cerebral hypoperfusion, while PLD2.5 is more accurate in showing the range of hypoperfusion.WMLs was positively correlated with VCI severity.
[Keywords] arterial spin labeling；post label delay；cerebral blood flow；white matter lesions；magnetic resonance imaging

XU Chang Department of MRI, the First Affiliated School of Clinical Medicine of Harbin Medical University, Harbin 150001, China

WANG Wei* Department of MRI, the First Affiliated School of Clinical Medicine of Harbin Medical University, Harbin 150001, China

*Corresponding to: Wang W, E-mail: 1391082196@qq.com

Conflicts of interest   None.

Received  2019-12-02
Accepted  2020-05-21
DOI: 10.12015/issn.1674-8034.2020.08.007
Cite this article as: Xu C, Wang W. Clinical value study of different post label delay of 3D-ASL and white matter lesion score in vascular cognitive impairment. Chin J Magn Reson Imaging, 2020, 11(8): 630-634. DOI:10.12015/issn.1674-8034.2020.08.007.

[1]
Banerjee G, Wilson D, Jäger HR, et al. Novel imaging techniques in cerebral small vessel diseases and vascular cognitive impairment. Biochim Biophys Acta, 2016, 1862(5): 926-938. DOI: 10.1016/j.bbadis.2015.12.010.
[2]
周倩，王倩倩，刘新疆．磁共振三维动脉自旋标记技术研究进展及临床应用．磁共振成像, 2019, 10(12): 955-960. DOI: 10.12015/issn.1674-8034.2019.12.019.
[3]
Sun Y, Cao W, Ding W, et al. Cerebral blood flow alterations as assessed by 3D ASL in cognitive impairment in patients with subcortical vascular cognitive impairment: a marker for disease severity. Front Aging Neurosci, 2016, 31(8): 211. DOI: 10.3389/fnagi.2016.00211.
[4]
Baykara E, Gesierich B, Adam R, et al. A novel imaging marker for small vessel disease based on skeletonization of white matter tracts and diffusion Histograms. Ann Neurol, 2016, 80(4): 581-592. DOI: 10.1002/ana.24758.
[5]
Fujiwara Y, Matsuda T, Kanamoto M, et al. Comparison of long-labeled pseudo-continuous arterial spin labeling (ASL) features between young and elderly adults:special reference to parameter selection. Acta Radiol, 2017, 58(1): 84-90. DOI: 10.1177/0284185116632387.
[6]
Suo X, Lei D, Cheng L, et al. Multidelay multiparametric arterial spin labeling perfusion MRI and mild cognitive impairment in early stage Parkinson's disease. Hum Brain Mapp, 2019, 40(4): 1317-1327. DOI: 10.1002/hbm.24451.
[7]
杜慧，王梦辰，陈敦超，等．三维准连续动脉自旋标记技术中不同PLD值对单侧大脑中动脉狭窄或闭塞患者脑血流灌注的评估．磁共振成像, 2017, 8(11): 801-806. DOI: 10.12015/issn.1674-8034.2017.11.001.
[8]
Liu Y, Zhu X, Feinberg D, et al. Arterial spin labeling MRI study of age and gendereffects on brain perfusion hemodynamics. Magn Reson Med, 2012, 68(3): 912-922. DOI: 10.1002/mrm.23286.
[9]
MacIntosh BJ, Lindsay AC, Kylintireas I, et al. Multiple inflow pulsed arterial spin-labeling reveals delays in the arterial arrival time in minor stroke and transient ischemic attack. AJNR Am J Neuroradiology, 2010, 31(10): 1892-1894. DOI: 10.3174/ajnr.A2008.
[10]
马强，刘娜，邢晓娜，等. 3D ASL技术不同PLD时间选择对中老年人脑血流测量的影响．航空航天医学杂志, 2018, 29(2): 131-133.
[11]
Tohgi H, Yonezawa H, Takahashi S, et al. Cerebral blood flflow and oxygen metabolism in senile dementia of Alzheimer’s type and vascular dementia with deep white matter changes. Neuroradiology, 1998, 40(3): 131-137. DOI: 10.1007/s002340050553.
[12]
Schuff N, Matsumoto S, Kmiecik J, et al. Cerebral blood flow in ischemic vascular dementia and Alzheimer's disease,measured by arterial spin-labeling magnetic resonance imaging. Alzheimers & Dementia, 2009, 5(6): 454-462. DOI: 10.1016/j.jalz.2009.04.1233.
[13]
Thong JY, Du J, Ratnarajah N, et al. Abnormalities of cortical thickness, subcortical shapes and white matter integrity in subcortical vascular cognitive impairment. Hum Brain Mapp, 2014, 35(5): 2320-2332. DOI: 10.1002/hbm.22330.
[14]
Catani M, ffytche DH. The rises and falls of disconnection syndromes. Brain, 2005, 128(Pt 10): 2224-2239. DOI: 10.1093/brain/awh622.
[15]
Caplan LR. Lacunar infarction and small vessel disease: Pathology and pathophysiology. J Stroke, 2015, 17(1): 2-6. DOI: 10.5853/jos.2015.17.1.2.
[16]
Kalaria RN. Neuropathological diagnosis of vascular cognitive impairment and vascular dementia with implications for Alzheimer’s disease. Acta Neuropathologica, 2016, 131(5): 659-685. DOI: 10.1007/s00401-016-1571-z.
[17]
Kalaria RN.The pathology and pathophysiology of vascular dementia. Neuropharmacology, 2018, 134(PtB): 226-239. DOI: 10.1016/j.neuropharm.2017.12.030.
[18]
赵丽静, 郜风清．脑小血管病所致认知功能障碍与病变部位的相关性分析．中西医结合心血管病电子杂志, 2017, 5(5): 49, 51.
[19]
吴士文，王贺波，刘若卓，等．腔隙性脑梗死病灶数量和部位与皮质下血管性认知功能损害的相关性研究．中国全科医学, 2010, 13(4B): 1188-1191.

PREV Diagnostic value of DESH for shunt responsiveness in idiopathic normal pressure hydrocephalus: A meta-analysis
NEXT The value of amide proton transfer imaging in predicting the effect of nasopharyngeal carcinoma after chemoradiotherapy
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn