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European Radiology
Erschienen in: European Radiology 10/2017

10.04.2017 | Magnetic Resonance

Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data

verfasst von: Zhenchao Tang, Zhenyu Liu, Ruili Li, Xin Yang, Xingwei Cui, Shuo Wang, Dongdong Yu, Hongjun Li, Enqing Dong, Jie Tian

Erschienen in: European Radiology | Ausgabe 10/2017

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Abstract

Objective

To identify the white matter (WM) impairments of the antiretroviral therapy (ART)-naïve HIV patients by conducting a multivariate pattern analysis (MVPA) of Diffusion Tensor Imaging (DTI) data

Methods

We enrolled 33 ART-naïve HIV patients and 32 Normal controls in the current study. Firstly, the DTI metrics in whole brain WM tracts were extracted for each subject and feed into the Least Absolute Shrinkage and Selection Operators procedure (LASSO)-Logistic regression model to identify the impaired WM tracts. Then, Support Vector Machines (SVM) model was constructed based on the DTI metrics in the impaired WM tracts to make HIV-control group classification. Pearson correlations between the WM impairments and HIV clinical statics were also investigated.

Results

Extensive HIV-related impairments were observed in the WM tracts associated with motor function, the corpus callosum (CC) and the frontal WM. With leave-one-out cross validation, accuracy of 83.08% (P=0.002) and the area under the Receiver Operating Characteristic curve of 0.9110 were obtained in the SVM classification model. The impairments of the CC were significantly correlated with the HIV clinic statics.

Conclusion

The MVPA was sensitive to detect the HIV-related WM changes. Our findings indicated that the MVPA had considerable potential in exploring the HIV-related WM impairments.

Key points

• WM impairments along motor pathway were detected among the ART-naïve HIV patients
• Prominent HIV-related WM impairments were observed in CC and frontal WM
• The impairments of CC were significantly related to the HIV clinic statics
• The CC might be susceptible to immune dysfunction and HIV replication
• Multivariate pattern analysis had potential for studying the HIV-related white matter impairments
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Metadaten
Titel
Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data
verfasst von
Zhenchao Tang
Zhenyu Liu
Ruili Li
Xin Yang
Xingwei Cui
Shuo Wang
Dongdong Yu
Hongjun Li
Enqing Dong
Jie Tian
Publikationsdatum
10.04.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 10/2017
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4820-1

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