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• Clinical Article •
The study of diagnosing the Parkinson's disease based on substantia nigra radiomics on susceptibility-weighted imaging
GU Xiang  PENG Mingyang  CHEN Yuchen  Yin Xindao  CHEN Guozhong  REN Jun 

Cite this article as: GU X, PENG M Y, CHEN Yuchen, et al. The study of diagnosing the Parkinson's disease based on substantia nigra radiomics on susceptibility-weighted imaging[J]. Chin J Magn Reson Imaging, 2023, 14(10): 26-30. DOI:10.12015/issn.1674-8034.2023.10.005.


[Abstract] Objective To explore the value of the substantia nigra radiomics on susceptibility-weighted imaging (SWI) and machine learning in diagnosing the Parkinson's disease (PD).Materials and Methods SWI images of 80 early PD patients and 80 healthy controls were collected. The ITK-SNAP software was used to delineate the regions of interest in substantia nigra on SWI, and extract and screen radiomics. Five machine learning methods (support vector machine, logistic regression analysis, random forest, Bayesian, K-nearest neighbor) were used to build the diagnosis model for Parkinson's disease, and the model with best diagnosis efficiency and most stable was selected for verification, and compared with the diagnosis efficiency of visual analysis of swallow tail sign.Results A total of 7 radiomic features closely related to Parkinson's disease were screened. In the training set, the diagnostic performance of the logistic regression analysis model is the best (AUC=0.975) and the most stable (relative standard deviations of AUC: 4%). In the test set, the AUC of logistic regression analysis model for diagnosing PD was 0.938, the sensitivity was 83.3%, and the specificity was 95.8%, which was significantly better than that of visual analysis (Z=2.241, P=0.025).Conclusions A logistic regression analysis model based on substantia nigra radiomics on SWI can accurately diagnose PD and provide image guidance for early intervention treatment in clinical.
[Keywords] Parkinson's disease；substantia nigra；susceptibility-weighted imaging；radiomic；machine learning

GU Xiang1   PENG Mingyang2   CHEN Yuchen2   Yin Xindao2   CHEN Guozhong2   REN Jun2*  

1 Department of Imaging, Nanjing Gaochun People's Hospital, Nanjing 211300, China

2 Department of Radiology, Nanjing Hospital Affiliated to Nanjing Medical University (Nanjing First Hospital), Nanjing 210006, China

Corresponding author: REN J, E-mail: renjun1203@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 82001811); Natural Science Foundation of Jiangsu Province (No. BK20201118).
Received  2023-04-11
Accepted  2023-09-26
DOI: 10.12015/issn.1674-8034.2023.10.005
Cite this article as: GU X, PENG M Y, CHEN Yuchen, et al. The study of diagnosing the Parkinson's disease based on substantia nigra radiomics on susceptibility-weighted imaging[J]. Chin J Magn Reson Imaging, 2023, 14(10): 26-30. DOI:10.12015/issn.1674-8034.2023.10.005.

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