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Diagnostic efficacy of combined fractional anisotropy and mean kurtosis in detecting Parkinson disease in a model rat
Y. Chen , D. An , Y. Dong
Department of Interventional treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, Hebei Province, PR China , dyc_hometown@aliyun.com
Abstract:   (38 Views)
Background: Both fractional anisotropy (FA) and mean kurtosis (MK) in diffusion kurtosis imaging (DKI) have value in the diagnosis of Parkinson’s disease (PD). We here investigated the sensitivity and specificity of FA and MK to explore which of these methods were more efficient in the early diagnosis of the PD rat model. Materials and Methods: Twenty male SD rats were injected with 6-OHDA into the right substantia nigra (SN) for modeling, and other 20 rats were included in control group. DKI was performed 5 weeks after modeling. The FA and MK values of the right SN were measured and analyzed. Receiver operating characteristic curve was used to evaluate the sensitivity and specificity of the above two value in the identifying PD. Immunohistochemistry of tyrosine hydroxylase (TH), Tunel assay, and Nissl staining in the SN was performed. Results: The FA, MK and FA+MK values in the PD group obtained on the 5th week were statistically significantly different from those of the control group (P < 0.01). The optimal cut-off FA+MK value (with respective area under the curve, sensitivity, specificity) was 1.404 (0.925, 95%, 75%), the Youden’s index of FA+MK was higher than of either of the two alone. The FA, MK and FA+MK values correlated positively with the Tunel staining, while they correlated negatively with the TH and Nissl staining. Conclusions: At the 5th week, the diagnostic efficiency of the combined FA and MK values was better than of either of the two alone in diagnosing PD.
Keywords: Fractional anisotropy, mean kurtosis, diffusion kurtosis imaging, Parkinson’s disease.
Full-Text [PDF 1081 kb]   (7 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
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International Journal of Radiation Research
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