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Parkinson’s disease: diagnostic utility of volumetric imaging

  • Diagnostic Neuroradiology
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Abstract

Purpose

This paper aims to examine the effectiveness of structural imaging as an aid in the diagnosis of Parkinson’s disease (PD).

Methods

High-resolution T 1-weighted magnetic resonance imaging was performed in 72 patients with idiopathic PD (mean age, 61.08 years) and 73 healthy subjects (mean age, 58.96 years). The whole brain was parcellated into 95 regions of interest using composite anatomical atlases, and region volumes were calculated. Three diagnostic classifiers were constructed using binary multiple logistic regression modeling: the (i) basal ganglion prior classifier, (ii) data-driven classifier, and (iii) basal ganglion prior/data-driven hybrid classifier. Leave-one-out cross validation was used to unbiasedly evaluate the predictive accuracy of imaging features. Pearson’s correlation analysis was further performed to correlate outcome measurement using the best PD classifier with disease severity.

Results

Smaller volume in susceptible regions is diagnostic for Parkinson’s disease. Compared with the other two classifiers, the basal ganglion prior/data-driven hybrid classifier had the highest diagnostic reliability with a sensitivity of 74%, specificity of 75%, and accuracy of 74%. Furthermore, outcome measurement using this classifier was associated with disease severity.

Conclusions

Brain structural volumetric analysis with multiple logistic regression modeling can be a complementary tool for diagnosing PD.

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Acknowledgements

The authors would like to thank the patients affected by PD and their families for their involvement and altruism.

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Authors and Affiliations

  1. Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan

    Wei-Che Lin, Hsiu-Ling Chen & Meng-Hsiang Chen

  2. Brain Research Center, National Yang-Ming University, Taipei, Taiwan

    Kun-Hsien Chou & Ching-Po Lin

  3. Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan

    Pei-Lin Lee, Hsiu-Ling Chen & Ching-Po Lin

  4. Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 123, Ta Pei Road, Niao Sung, Kaohsiung, Taiwan

    Nai-Wen Tsai & Cheng-Hsien Lu

  5. Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan

    Ai-Ling Hsu

  6. Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan

    Yung-Cheng Huang

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  1. Wei-Che Lin
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Corresponding author

Correspondence to Cheng-Hsien Lu.

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Funding

This study was funded by the National Science Council (103-2314-B-182A-010-MY3 to W-C Lin) and the Chang Gang Memorial Hospital (CMRPG891511 and CMRPG8B0831 to W-CL and CMRPG8E0621 to M-HC).

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Lin, WC., Chou, KH., Lee, PL. et al. Parkinson’s disease: diagnostic utility of volumetric imaging. Neuroradiology 59, 367–377 (2017). https://doi.org/10.1007/s00234-017-1808-0

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  • DOI: https://doi.org/10.1007/s00234-017-1808-0

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