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European Radiology

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24-04-2022 | Magnetic Resonance Imaging | Neuro

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

Authors: Jin Juan Kang, Yue Chen, Guo Dong Xu, Shan Lei Bao, Jie Wang, Min Ge, Li Hua Shen, Zhong Zheng Jia

Published in: European Radiology | Issue 10/2022

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.

Available only for authorised users

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Title: Combining quantitative susceptibility mapping to radiomics in diagnosing Parkinson’s disease and assessing cognitive impairment
Authors: Jin Juan Kang
Yue Chen
Guo Dong Xu
Shan Lei Bao
Jie Wang
Min Ge
Li Hua Shen
Zhong Zheng Jia
Publication date: 24-04-2022
Publisher: Springer Berlin Heidelberg
Keywords: Magnetic Resonance Imaging
Magnetic Resonance Imaging
Parkinson's Disease
Published in: European Radiology / Issue 10/2022
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-022-08790-8

Keynote webinar | Spotlight on medication adherence

Springer Medicine

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

Abstract

Objective

Methods

Results

Conclusions

Key Points

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Objective

Methods

Results

Conclusions

Key Points

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