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Combining quantitative susceptibility mapping to radiomics in diagnosing Parkinson’s disease and assessing cognitive impairment

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Abstract

Objective

To explore whether magnetic susceptibility value (MSV) and radiomics features of the nigrostriatal system could be used as imaging markers for diagnosing Parkinson’s disease (PD) and its related cognitive impairment (CI).

Methods

A total of 104 PD patients and 45 age-sex-matched healthy controls (HCs) underwent quantitative susceptibility mapping (QSM). The former completed Hoehn-Yahr Stage and Montreal Cognitive Assessment (MoCA). The patients were divided into several subgroups according to disease stages, courses, and MoCA scores. The ROI was subdivided into the substantia nigra (SN), head of caudate nucleus (HCN), and putamen. The MSVs and radiomics features were obtained from QSM. The multivariable logistic regression (MLR) and support vector machine (SVM) models were constructed to diagnose PD. The correlations between MSVs, radiomics features, and MoCA scores were evaluated.

Results

The MSVs in bilateral SN pars compacta (SNc) of PD patients were higher than those of the HCs (p < 0.001). There were differences in some radiomics features between the two groups (p < 0.05). The MSVs of the right SNc and the radiomics features of the right SN had the highest area under the curve (AUC), respectively. The comprehensive MLR model (0.90) and SVM model (0.95) revealed better classification performance than MSVs (p < 0.05) in diagnosing PD. The MSVs from the HCN were negatively correlated with MoCA scores in PD subgroups. There were correlations between radiomics features and MoCA scores in PD patients.

Conclusions

Radiomics features and MSVs of the nigrostriatal system from QSM could have crucial role in diagnosing PD and assessing CI.

Key Points

• The MLR and the SVM models have excellent diagnostic performance in the diagnosis of PD.

• A PD diagnostic nomogram, created based on MSV and the radiomics scores of SVM model, is very convenient for clinical use.

• The radiomics features of the nigrostriatal system based on QSM help to evaluate the cognitive impairment in PD patients.

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Abbreviations

CI:

Cognitive impairment

HC:

Healthy control

HCN:

Head of caudate nucleus

H-Y:

Hoehn-Yahr

MLR:

Multivariate logistic regression

MoCA:

Montreal Cognitive Assessment

MSV:

Magnetic susceptibility value

PD:

Parkinson’s disease

PUT:

Putamen

QSM:

Quantitative susceptibility mapping

SN:

Substantia nigra

SNc:

SN pars compacta

SNr:

SN pars reticulata

SVM:

Support vector machine

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Acknowledgements

We would like to thank the radiographers in Affiliated Hospital of Nantong University for their professional assistance and MRI scans.

Funding

This study has received funding by the Jiangsu Provincial Health Commission (No. H2019089) and the Nantong Science and Technology Project (No. MS12020044).

Author information

Author notes

  1. Jin Juan Kang and Yue Chen contributed equally to this work.

Authors and Affiliations

  1. Department of Medical Imaging, Affiliated Hospital of Nantong University, NO. 20 Xisi Road, Nantong, 226001, People’s Republic of China

    Jin Juan Kang, Yue Chen, Guo Dong Xu, Jie Wang, Min Ge & Zhong Zheng Jia

  2. Department of Nuclear Medicine, Affiliated Hospital of Nantong University, Nantong, People’s Republic of China

    Shan Lei Bao

  3. Department of Neurology, Affiliated Hospital of Nantong University, NO. 20 Xisi Road, Nantong, 226001, People’s Republic of China

    Li Hua Shen

Authors
  1. Jin Juan Kang
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Corresponding authors

Correspondence to Li Hua Shen or Zhong Zheng Jia.

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The scientific guarantor of this publication is Jin Juan Kang.

Conflict of interest

The authors declare no conflicts of interest.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was obtained from all subjects in this study.

Ethical approval

This study was approved by the institutional review board (Ethics Committee of Affiliated Hospital of Nantong University).

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• retrospective

• diagnostic and prognostic study

• performed at one institution

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Kang, J.J., Chen, Y., Xu, G.D. et al. Combining quantitative susceptibility mapping to radiomics in diagnosing Parkinson’s disease and assessing cognitive impairment. Eur Radiol 32, 6992–7003 (2022). https://doi.org/10.1007/s00330-022-08790-8

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  • DOI: https://doi.org/10.1007/s00330-022-08790-8

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