Analysis of the Effect of Magnetic Resonance Diffusion Tensor Imaging in Patients with Stuttering

Journal: Journal of Clinical Medicine Research DOI: 10.32629/jcmr.v2i2.363

Wenjing Ge

Qingdao Municipal Hospital

Abstract

Purpose — To discuss the applying effectiveness analysis of magnetic resonance diffusion tensor imaging among stuttering patients. Method — Choose 81 suspected stuttering patients between May, 2018 to May, 2021 as researching objects. All of the patients did the test of magnetic resonance diffusion tensor imaging. And then the testing results was compared with clinical examination results (Gold standard), ROC curve was drawn to analyze the applying effectiveness analysis of magnetic resonance diffusion tensor imaging among stuttering patients. Results — 70 patients were diagnosed as stuttering patients from clinical examination among the 81 suspected stuttering patients. The diagnosis rate is 86.42%. After all of the patients did the test of magnetic resonance diffusion tensor imaging, 68 patients were diagnosed as stuttering patients finally. Diagnosis coincidence rate is 97.14% (P>0.05). The rFA levels of the insula, corpus callosum, and putamen on the side of stuttering lesion are lower than those on the healthy side (P<0.05). The rFA of the cerebrum, internal capsule, and cerebellum on the lesion side and the contralateral side has no statistical significance (P>0.05). The ROC curve shows that the AUC data of magnetic resonance diffusion tensor imaging in stuttering patients is 0.834, the diagnostic sensitivity is 84.31%, and the specificity is 71.48%. Conclusion — Magnetic resonance diffusion tensor imaging applying in stuttering patients can gain higher detection rate, which can provide imaging evidence for clinical diagnosis and treatment for clinical and is worthy to promoting and applying.

Keywords

magnetic resonance diffusion tensor imaging, stuttering symptom, application effect, ROC curve, application efficiency

References

[1] Xiao Xiong, Kong Lu, Pan Changcun, et. Application value of diffusion tensor imaging in the surgical treatment of brainstem glioma. Chinese Journal of Neurosurgery. 2019; 35(8): 817-822.
[2] Liu Na, Liu Ni, Geng Deqin, et. Diffusion tensor imaging study on changes of brain structure network in patients with Parkinson's disease and mild cognitive impairment. Chinese Journal of Behavioral Medicine and Brain Science. 2019; 28(3): 193-199.
[3] Jin Wei, Li Yuehua, Libin, et. Research progress of magnetic resonance diffusion tensor imaging and fiber bundle density imaging in the central nervous system. Chinese Journal of Medical Devices. 2019; 43(5): 352-354.
[4] Xie Yunjuan, Liao Lingyi, Gao Qiang. Research progress of diffusion tensor imaging in prognostic evaluation of sports function in stroke patients. Chinese Recovery Theory and Practice. 2019; 25(5): 56-59.
[5] Liao Lingyi, Xie Yunjuan, Gao Qiang. The research development of diffusion tensor imaging research on the integrity of corticospinal tract and the recovery of motor function after stroke. China Recovery. 2019; 34(9): 48-51.
[6] Chen Siwei, Zhou Lewei, Zhong Hongxi, et. Research on the changes of the white matter structure network of patients with Alzheimer's disease based on diffusion tensor imaging. Chinese Journal of Geriatric Cardiovascular and Cerebrovascular Diseases. 2019; 21(9): 10-14.

Copyright © 2021 Wenjing Ge

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