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Objective To compare three dimensional arterial spin labeling(3D-ASL) and dynamic susceptibility contrast-perfusion weighted imaging(DSC-PWI) in evaluating the cerebral hemodynamic of Moyamoya disease. Methods Approved by the institutional review board, 26 cases of Moyamoya patients who were diagnosed by DSA were enrolled. Diffusion weighted image, 3D-TOF-MRA, 3D-ASL, DSC-WPI, and T1WI were performed in 3.0 T MR scanner. ROI were positioned in the abnormal perfusion areas and the control area according to the arterial dominant territory to obtain quantitative parameters of perfusion. Perfusion parameters including cerebral blood flow(CBF) of ASL, cerebral blood flow(CBF), cerebral blood volume(CBV), mean transit time(MTT), and time to peak(TTP)of DSC-PWI , and relative parameters (ASL-rCBF, DSC-rCBF, DSC-rCBV, DSC-rMTT, DSC-rTTP) that the ratio of abnormal perfusion area and the control area were calculated. Meanwhile, the areas of the lower perfusion region of ASL and TTP images in the same slice were measured. Difference of the above-mentioned parameters and areas was processed by paired Student′ t test. Furthermore, correlation of relative values of perfusion parameters(ASL-rCBF, DSC-rCBF, DSC-rCBV, DSC-rMTT, and DSC-rTTP) was processed by Pearson correlation test. Results There were significant statistics differences between values of ASL-CBF, DSC-MTT, and DSC-TTP in abnormal perfusion [(28.18 ± 10.19)ml · 100 g-1 · min-1,(7.98 ± 2.22)s,(29.93 ± 3.95)s] and the control areas [(49.50 ± 11.37)ml · 100 g-1 · min-1,(6.07 ± 1.11)s,(27.34 ± 2.58)s] (t=-12.818, 4.193, 6.163, all P0.05). Furthermore, the Pearson correlation test showed significant linear dependence between ASL-rCBF(0.56±0.14)and DSC-rMTT(1.34± 0.42), and DSC-rTTP(1.09 ± 0.69)(r=-0.630,-0.748, P<0.01). Conclusions There is a correlation between 3D-ASL and DSC-PWI in assessing the magnitude and areas of the reduction of blood perfusion of Moyamoya patients. Moreover, the ASL technique possesses advantages of non-invasion use of the gadolinium contrast.
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BACKGROUND:Increasingly studies report that the normal balance of bone metabolism may be destroyed in the case of postmenopausal osteoporosis or osteoarthritis. The concrete metabolic process of bone turnover could be revealed sensitively by measuring the bone turnover markers in the serum or urine. OBJECTIVE:To study the bone density and bone metabolic index of knee osteoarthritis (KOA) and postmenopausal osteoporosis (PMO), and to discuss the characteristics of bone density and bone metabolic index in KOA and PMO. METHODS:A total of 248 postmenopausal women were detected for bone mineral density and knee X-ray. Final y 180 patients were included in this study and were divided into three groups:KOA group, PMO group, and control group. The levels of bone turnover markers (bone alkaline phosphatase, bone gla protein, col agen type I cross-linked C-telopeptide, and tartrate-resistant acid phosphatase 5b) in serum from the participants were measured. The correlation between bone turnover markers and the disease progression was analyzed by Logistic regression analysis. RESULTS AND CONCLUSION:The bone mineral density in the KOA group was higher than the control group but col agen type I cross-linked C-telopeptide was lower. The levels of bone gla protein, col agen type I cross-linked C-telopeptide, and tartrate-resistant acid phosphatase 5b in serum from PMO group were higher than the control group. The decrease of col agen type I cross-linked C-telopeptide was associated with the incidence of KOA, and the increases of bone gla protein, col agen type I cross-linked C-telopeptide, and tartrate-resistant acid phosphatase 5b were associated with the incidence of PMO. The lower bone absorption can be seen in postmenopausal women with KOA. PMO patients showed a higher bone turnover rate. The difference of bone metabolism between patients with KOA and PMO led to negative relationship of bone mineral density. The serum levels of bone gla protein, col agen type I cross-linked C-telopeptide, and tartrate-resistant acid phosphatase 5b can assist clinical diagnose and therapeutic effect detection of both KOA and PMO.