磁敏感加权成像相位图对缺血性脑梗死局部氧代谢的临床研究

Abstract
Figure/Table
References (15)
Related Citation (15)

Download: PDF (0 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Objective: To explore the possible causes and clinical values of the signal and phase variation of the draining veins in patients with acute cerebral infarction, by measuring the phase differences of the draining veins combined with the local hemodynamic changes. Methods: Twenty patients(aged 47~82 years, mean age 61 years; time of onset 7~48 hours, mean time 28 hours) with acute ischemic cerebral infarction were analyzed retrospectively. The scanning sequences included susceptibility weighted imaging(SWI) and dynamic susceptibility contrast-enhanced perfusion-weighted imaging(DSC-PWI). The phase differences of the veins in the infarct and contralateral areas(respectively denoted by Δφlesion and Δφnormal) were measured. The rCBF values, rrCBF values and rCBV values in the infarct and contralateral areas were measured. NIHSS scores were recorded. Results: ①The phase difference of affected side Δφlesion value=547.0±155.7(spin), the contralateral phase difference Δφnormal value=282.65±96.67(spin), Δφlesion was significantly greater than Δφnormal(t=5.861, P<0.001); ②rCBF values in the infarct area were significantly lower than that of the contralateral area(t=-8.978, P<0.001), and rCBV values in the infarct area were also lower than that of the contralateral area(P=0.008); ③There was significant positive correlation between the Δφlesion values and NIHSS scores(r=0.933, P＜0.001), and there was significant positive correlation between the Δφlesion values and rrCBF values(r=0.681, P=0.001), rrCBF values had positive correlation with NIHSS scores(r=0.645, P=0.002). Conclusion: The correlation between the phase differences in the infarct area that reflected the oxygen metabolic abnormalities and CBF were consistent with the cerebral flow-metabolism coupling mechanism. The phase differences of the veins in the infarct area could be used as a reliable indicator to evaluate the clinical severity of the patients with acute infarction.

Key words： Brain infarction Magnetic resonance imaging

Received: 10 September 2015

PACS:	Ｒ743.33
	Ｒ445.2

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	NI Ming-fei
	LI Xue-song
	TAO Ding-bo
	WEI Qiang
	SONG Qing-wei
	XU Bin
	MIAO Yan-wei

Cite this article:

NI Ming-fei,LI Xue-song,TAO Ding-bo, et al. A clinical study on the cerebral oxygen metabolism of ischemic cerebral infarction with#br# susceptibility weighted phase imaging[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2016, 27(5): 314-317.

URL:

http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2016/V27/I5/314

[1]Przelaskowski A, Sklinda K, Bargie P, et al. Improved early stroke detection: Wavelet-based perception enhancement of computerized tomography exams[J]. Comput Biol Med, 2007, 37(4): 524-533.
[2]Jezzard P. Advances in perfusion MR imaging[J]. Radiology, 1998, 208(2): 296-299.
[3]Ibaraki M, Miura S, Shimosegawa E, et al. Quantification of cerebral blood flow and oxygen metabolism with 3-dimensional PET and 15O: validation by comparison with 2-dimensional PET[J]. J Nucl Med, 2008, 49(1): 50-59.
[4]Hingwala D, Kesavadas C, Thomas B, et al. Clinical utility of susceptibility-weighted imaging in vascular diseases of the brain[J]. Neurol India, 2010, 58(4): 602-607.
[5]Kesavadas C, Santhosh K, Thomas B. Susceptibility weighted imaging in cerebral hypoperfusion—can we predict increased oxygen extraction fraction?[J]. Neuroradiology, 2010, 52(11): 1047-1054.
[6]Zaitsu Y, Kudo K, Terae S, et al. Mapping of Cerebral Oxygen Extraction Fraction Changes with Susceptibility-weighted Phase Imaging[J]. Radiology, 2011, 261(3): 930-936.
[7]Li M, Hu J, Miao Y, et al. In vivo measurement of oxygenation changes after stroke using susceptibility weighted imaging filtered phase data[J]. PLoS One, 2013, 8(5): e63013.
[8]Adams HP Jr, Davis PH, Leira EC, et al. Baseline NIH Stroke Scale score strongly predicts outcome after stroke: A report of the Trial of Org 10172 in Acute Stroke Treatment(TOAST)[J]. Neurology, 1999, 53(1): 126-131.
[9]He X, Yablonskiy DA. Quantitative BOLD: mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction: default state[J]. Magn Reson Med, 2007, 57(1): 115-126.
[10]Guadagno JV, Warburton EA, Jones PS, et al. How affected is oxygen metabolism in DWI lesions?: A combined acute stroke PET-MR study[J]. Neurology, 2006, 67(5): 824-829.
[11]Geisler BS, Brandhoff F, Fiehler J, et al. Blood-oxygen-level-dependent MRI allows metabolic description of tissue at risk in acute stroke patients[J]. Stroke, 2006, 37(7): 1778-1784.
[12]Hemier M, Nighoghossian N, Derex L, et al. Hypointense leptomeningeal vessels at T2*-weighted MRI in acute ischemic stroke[J]. Neurology, 2005, 65(4): 652-653.
[13]Sato S, Toyada K, Uehara T, et al. Baseline NIH stroke scale score predicting outcome in anterior and posterior circulation strokes[J]. Neurology, 2008, 70(24): 2371-2377.
[14]孟亮亮，邹颖，张晓东，等． MRI测量正常人脑氧摄取分数[J]．中国医学影像技术，2011，27（11）：2175-2179.
[15]Derdeyn CP, Grubb RL Jr, Powers WJ. Cerebral hemodynamic impairment: methods of measurement and association with stroke risk[J]. Neurology, 1999, 53(2): 251-259.