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Moreover, a significant correlation was observed between the Ki-67 labeling index in the tumor and the T/N ratio of 11C-4DST (r = 0.50, P < 0.05) and 18F-FLT (r = 0.50, P < 0.05) (Figure 3B).
Moreover, a significant correlation between these two genes existed in control, schizophrenia and bipolar subjects.
Moreover, a significant correlation was observed between GAG levels and aggregate moduli.
Moreover, a significant correlation was found, for the first time, between CSF lactate concentration and the number of inflammatory MS brain plaques.
Moreover a significant correlation between tumor MCT1 and stromal MCT4 expression exists.
Moreover, a significant correlation between HIF-1α expression and the CD133 immunohistochemical staining pattern was found.
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Moreover, there was a significant correlation between the concentration of NO derivatives and the percentage of maximal fall in FEV1 (r = 0.569, P =.019).
Moreover, we found a significant correlation between W L and the FMD-response (r = 0.55, P < 0.001), which remained significant after correcting for the eliciting shear stress (r = 0.47, P < 0.001), indicating that W L/FMD relationship was not primarily related to the impact of diameter on the shear rate stimulus to FMD.
Moreover, there is a significant correlation between the 18F-FLT uptake and the Ki-67 labeling index, but the correlation coefficient (r = 0.50) was lower compared with the findings of our previous (r = 0.89) [4] and recent (r = 0.81) [17] studies in newly diagnosed gliomas.
Moreover, there was a significant correlation between ZT4 LHA c-fos expression and FAA (R2 = 0.61, p<0.001, Figure 8E).
Moreover, there was a significant correlation between barrel cortex c-fos expression and FAA (R2 = 0.61, p<0.001, Figure 10F).
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