ISSN 1004-4140
CN 11-3017/P
YANG Tao, ZHANG Chun-yan, CHENG Jing-liang, LIU Kang-yong, FAN Xiao-jun, WANG Wei, ZHANG Ye, LIU Fei. Application of Diffusion Tensor Imaging in the Early Diagnosis of Parkinson's Disease[J]. CT Theory and Applications, 2017, 26(1): 85-90. DOI: 10.15953/j.1004-4140.2017.26.01.11
Citation: YANG Tao, ZHANG Chun-yan, CHENG Jing-liang, LIU Kang-yong, FAN Xiao-jun, WANG Wei, ZHANG Ye, LIU Fei. Application of Diffusion Tensor Imaging in the Early Diagnosis of Parkinson's Disease[J]. CT Theory and Applications, 2017, 26(1): 85-90. DOI: 10.15953/j.1004-4140.2017.26.01.11

Application of Diffusion Tensor Imaging in the Early Diagnosis of Parkinson's Disease

More Information
  • Received Date: July 14, 2016
  • Available Online: November 27, 2022
  • Objective: To explore the diagnostic value of diffusion tensor imaging in early Parkinson disease (PD). Methods: There were 18 patients with primary early PD and 18 volunteers as control group. Conventional MR sequences and DTI images were examined. The fractional anisotropy (FA) value and apparent diffusion coefficient (ADC) value of the bilateral thalamus, caudate nucleus, substantia nigra, putamen and globus pallidus were evaluated. Results: The FA value of thalamus, caudate nucleus and substantia nigra in PD group was significantly lower than that in the control group (P<0.05). The FA value of bilateral putamen and globus pallidus was no significant difference between the two groups (P>0.05). No significant difference was found in ADC value between the two groups. Conclusion: The changes of FA value in the thalamus, caudate nucleus and substantia nigra can help to recognize and detect PD. This study suggests that DTI may provide valuable clue for early diagnosis of PD.
  • Related Articles

    [1]FENG Weiyu, SHEN Xuzhang, TAN Jiawei, WANG Wentian. Influence of Ambient Noise Source Distributions on Cross-correlation Derived Seismic Waveforms and Dispersion Curve Retrieval[J]. CT Theory and Applications. DOI: 10.15953/j.ctta.2025.181
    [2]CHAI Jun, LIANG Danyan, WANG Xiaolan, ZHAO Jianhua. Correlation between Clinical Outcome and Computed Tomography Findings in Coronavirus Disease 2019[J]. CT Theory and Applications, 2023, 32(5): 621-626. DOI: 10.15953/j.ctta.2023.048
    [3]ZHANG Wenchao, LI Jingxu, GUAN Yubao, YANG Xinguan, XIA Tingting, ZHANG Liyi, CHEN Yeying, DONG Xiao. Correlation between CT Features and Patient's Prognosis of Multiple Primary Lung Cancer[J]. CT Theory and Applications, 2019, 28(1): 29-38. DOI: 10.15953/j.1004-4140.2019.28.01.03
    [4]ZHANG Qiu-yi, XU Kai, CHEN Kai, LIU Chen, WEN Lei. Correlation Analysis of Imaging Score and Clinical Manifestation of Tibial Stress Fracture in Soldiers[J]. CT Theory and Applications, 2017, 26(6): 783-790. DOI: 10.15953/j.1004-4140.2017.26.06.16
    [5]BAI Juan-juan, YANG Yu-shuang, WANG Hai-peng. Spatial Registration of X-ray CT Projection Images[J]. CT Theory and Applications, 2016, 25(6): 661-670. DOI: 10.15953/j.1004-4140.2016.25.06.06
    [6]LI Zeng-yun, LÜ Dong-hui. Fast-correction of Rotating Center Offset with Part Views Sinogram in 2D CT[J]. CT Theory and Applications, 2015, 24(4): 533-543. DOI: 10.15953/j.1004-4140.2015.24.04.07
    [7]ZHAO Yue, SHEN Bi-xian, TAN Si-ping, YANG Chun-yu, CHEN Sheng-ji, HUANG An-rong. Study on the Value of Dual Source CT Assessment of Smoking and Coronary Plaque Correlation[J]. CT Theory and Applications, 2014, 23(4): 541-550.
    [8]LI Zhong-chuan, MENG Fan-yong, YANG Min. The Correction of Fan-beam CT Image Artifacts Induced by Deflection of Linear-detectors[J]. CT Theory and Applications, 2014, 23(2): 237-248.
    [9]SHEN Jin-song, SUN Wen-bo. Tomography of the Cross-Hole Electromagnetic Measurements[J]. CT Theory and Applications, 2008, 17(1): 27-40.
    [10]ZHOU Le-fu, XIANG Zi-yun. Correlation of CT Findings of Acute Pancreatitis with Changing of Serum and Urine Amykase[J]. CT Theory and Applications, 2004, 13(2): 54-56.
  • Cited by

    Periodical cited type(4)

    1. 张元飞. 动态增强磁共振成像联合弥散加权成像对前列腺癌的诊断效能. 实用临床医药杂志. 2024(24): 26-30 .
    2. 殷帅涛,王嘉南,蒋召强,王向阳,姬彤宇,单磊. PI-RADS v2.1评分联合前列腺特异性抗原衍生指标对灰区前列腺癌的诊断价值. 中华实用诊断与治疗杂志. 2023(04): 372-376 .
    3. 李媛媛,张显利. f-PSA/t-PSA联合基于PI-RADS v2评分的多参数MRI在前列腺癌中的诊断价值. 临床医学研究与实践. 2022(28): 119-122+136 .
    4. 孙东方,姚伟根,刘洁,鲁鹏聪,康聪. 基于PI-RADS联合PSA及衍生物构建前列腺癌定量评分体系的研究. 现代实用医学. 2022(12): 1564-1566 .

    Other cited types(2)

Catalog

    Article views (576) PDF downloads (8) Cited by(6)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return