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:: Volume 22, Issue 2 (4-2024) ::
Int J Radiat Res 2024, 22(2): 339-345 Back to browse issues page
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:   (308 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]   (81 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
References
1. Nachman E and Verstreken P (2022) Synaptic proteostasis in Parkinson's disease. Curr Opin Neurobiol, 72: 72-79. [DOI:10.1016/j.conb.2021.09.001]
2. Chen J, Xu J, Huang P, et al. (2022) The potential applications of traditional Chinese medicine in Parkinson's disease: A new opportunity. Biomed Pharmacother, 149: 112866. [DOI:10.1016/j.biopha.2022.112866]
3. Bloem BR, Okun MS, Klein C (2021) Parkinson's disease. The Lancet, 397: 2284-2303. [DOI:10.1016/S0140-6736(21)00218-X]
4. Simonet C, Schrag A, Lees AJ, Noyce AJ (2021) The motor prodromes of parkinson's disease: from bedside observation to large-scale application. J Neurol, 268: 2099-2108. [DOI:10.1007/s00415-019-09642-0]
5. Qian H, Kang X, Hu J, et al. (2020) Reversing a model of Parkinson's disease with in situ converted nigral neurons. Nature, 582: 550-556. [DOI:10.1038/s41586-020-2388-4]
6. Xie L and Hu L (2022) Research progress in the early diagnosis of Parkinson's disease. Neurol Sci, 43(11): 6225-6231. [DOI:10.1007/s10072-022-06316-0]
7. Sun X, Liu F, Liu Q, et al. (2019) Quantitative research of (11)C-CFT and (18)F-FDG PET in parkinson's disease: A pilot study with NeuroQ software. Front Neurosci, 13: 299. [DOI:10.3389/fnins.2019.00299]
8. Rebelo D, Oliveira F, Abrunhosa A, et al. (2021) A link between synaptic plasticity and reorganization of brain activity in Parkinson's disease. Proc Natl Acad Sci, USA 118. [DOI:10.1073/pnas.2013962118]
9. de Souza AM, Pitombeira MS, de Souza LE, et al. (2021) (11)C-PK11195 plasma metabolization has the same rate in multiple sclerosis patients and healthy controls: a cross-sectional study. Neural Regen Res, 16: 2494-2498. [DOI:10.4103/1673-5374.313062]
10. Cheon M, Kim SM, Ha SW, et al. (2022) Diagnostic Performance for Differential Diagnosis of Atypical Parkinsonian Syndromes from Parkinson's Disease Using Quantitative Indices of (18)F-FP-CIT PET/CT. Diagnostics, (Basel) 12. [DOI:10.3390/diagnostics12061402]
11. Hsu SY, Lin HC, Chen TB, et al. (2019) Feasible classified models for parkinson disease from (99m)Tc-TRODAT-1 SPECT Imaging. Sensors (Basel), 19. [DOI:10.3390/s19071740]
12. Rammohan N, Randall JW, Yadav P (2022) History of technological advancements towards MR-Linac: The future of image-guided radiotherapy. J Clinical Medicine, 11: 4730. [DOI:10.3390/jcm11164730]
13. Zhao XJ, Niu XY, You HY, et al. (2019) Signal Alteration of Substantia Nigra on 3.0T Susceptibility-weighted Imaging in Parkinson's Disease and Vascular Parkinsonism. Curr Med Sci, 39: 831-835. [DOI:10.1007/s11596-019-2113-4]
14. Zheng JH, Sun WH, Ma JJ, et al. (2022) Structural and functional abnormalities in Parkinson's disease based on voxel-based morphometry and resting-state functional magnetic resonance imaging. Neurosci Lett, 788: 136835. [DOI:10.1016/j.neulet.2022.136835]
15. Li K, Su W, Li SH, et al. (2018) Resting state fMRI: A valuable tool for studying cognitive dysfunction in PD. Parkinsons Dis, 2018: 6278649. [DOI:10.1155/2018/6278649]
16. Kouli A, Torsney KM, Kuan WL (2018) Parkinson's disease: Etiology, neuropathology, and pathogenesis. In: Stoker TB, Greenland JC, editors. Parkinson's Disease: Pathogenesis and Clinical Aspects. Brisbane (AU). [DOI:10.15586/codonpublications.parkinsonsdisease.2018.ch1]
17. Terse PS, Kells AP, Noker P, et al. (2020) Safety assessment of AAV2-hGDNF administered via intracerebral injection in rats for treatment of parkinson's disease. Int J Toxicol, 1091581820966315. [DOI:10.1177/1091581820966315]
18. Hall JM, Ehgoetz Martens KA, et al. (2016) Diffusion alterations associated with Parkinson's disease symptomatology: A review of the literature. Parkinsonism Relat Disord, 33: 12-26. [DOI:10.1016/j.parkreldis.2016.09.026]
19. Zhang Y and Burock MA (2020) Diffusion tensor imaging in parkinson's disease and parkinsonian syndrome: A systematic review. Front Neurol, 11: 531993. [DOI:10.3389/fneur.2020.531993]
20. Chung SJ, Cho KH, Lee YH, et al. (2021) Diffusion tensor imaging-based pontine damage as a degeneration marker in synucleinopathy. J Neurosci Res, 99: 2922-2931. [DOI:10.1002/jnr.24926]
21. Kasa LW, Haast RAM, Kuehn TK, et al. (2021) Evaluating High Spatial Resolution Diffusion Kurtosis Imaging at 3T: Reproducibility and Quality of Fit. J Magn Reson Imaging, 53: 1175-1187. [DOI:10.1002/jmri.27408]
22. Bai X, Zhou C, Guo T, et al. (2021) Progressive microstructural alterations in subcortical nuclei in Parkinson's disease: A diffusion magnetic resonance imaging study. Parkinsonism Relat Disord, 88: 82-89. [DOI:10.1016/j.parkreldis.2021.06.003]
23. Bingbing G, Yujing Z, Yanwei M, et al. (2020) Diffusion Kurtosis Imaging of Microstructural Changes in Gray Matter Nucleus in Parkinson Disease. Front Neurol, 11: 252. [DOI:10.3389/fneur.2020.00252]
24. Arab A, Wojna-Pelczar A, Khairnar A, et al. (2018) Principles of diffusion kurtosis imaging and its role in early diagnosis of neurodegenerative disorders. Brain Res Bull, 139: 91-98. [DOI:10.1016/j.brainresbull.2018.01.015]
25. Fang Y, Dong Y, Zheng T, et al. (2017) Altered tracer distribution and clearance in the extracellular space of the substantia Nigra in a rodent model of parkinson's disease. Front Neurosci, 11: 409. [DOI:10.3389/fnins.2017.00409]
26. Dong Y, Liu D, Zhao Y, et al. (2021) Assessment of neuroprotective effects of low-intensity transcranial ultrasound stimulation in a parkinson's disease rat model by fractional anisotropy and relaxation time T2( *) value. Front Neurosci, 15: 590354. [DOI:10.3389/fnins.2021.590354]
27. Wei X, He S, Wang Z, et al. (2014) Fibroblast growth factor 1attenuates 6-hydroxydopamine-induced neurotoxicity: an in-vitro and in-vivo investigation in experimental models of parkinson's disease. Am J Transl Res, 6: 664-677.
28. Sy MAC and Fernandez HH (2020) Pharmacological treatment of early motor manifestations of parkinson disease (PD). Neurotherapeutics. [DOI:10.1007/s13311-020-00924-4]
29. Ikenouchi Y, Kamagata K, Andica C, et al. (2020) Evaluation of white matter microstructure in patients with Parkinson's disease using microscopic fractional anisotropy. Neuroradiology, 62: 197-203. [DOI:10.1007/s00234-019-02301-1]
30. Wu EX and Cheung MM (2010) MR diffusion kurtosis imaging for neural tissue characterization. NMR Biomed, 23: 836-848. [DOI:10.1002/nbm.1506]
31. Han D, Qi L, Wu EX (2008) Extreme diffusion values for non-Gaussian diffusions. Optimization Methods and Software, 23: 703-716. [DOI:10.1080/10556780802367171]
32. Qi L, Han D, Wu EX (2009) Principal invariants and inherent parameters of diffusion kurtosis tensors. J Mathematical Analysis and Applications, 349: 165-180. [DOI:10.1016/j.jmaa.2008.08.049]
33. Dong Y, Yuan Y, Fang Y, et al. (2020) Effect of aquaporin 4 protein overexpression in nigrostriatal system on development of Parkinson's disease. Int J Neurosci, 1-8. [DOI:10.1080/00207454.2020.1753727]
34. Khairnar A, Ruda-Kucerova J, Arab A, et al. (2021) Diffusion kurtosis imaging detects the time-dependent progress of pathological changes in the oral rotenone mouse model of Parkinson's disease. J Neurochem, 158: 779-797. [DOI:10.1111/jnc.15449]
35. Zhao X, He H, Xiong X, et al. (2022) Lewy Body-Associated Proteins A-Synuclein (a-syn) as a Plasma-Based Biomarker for Parkinson's Disease. Front Aging Neurosci, 14: 869797. [DOI:10.3389/fnagi.2022.869797]
36. Chen V and Saez-Atienzar S (2018) A tango for two: Dopamine and alpha-synuclein synergy may explain nigrostriatal degeneration in Parkinson's disease. Mov Disord, 33: 249. [DOI:10.1002/mds.27248]
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Chen Y, An D, Dong Y. Diagnostic efficacy of combined fractional anisotropy and mean kurtosis in detecting Parkinson disease in a model rat. Int J Radiat Res 2024; 22 (2) :339-345
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Volume 22, Issue 2 (4-2024) Back to browse issues page
International Journal of Radiation Research
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