Cargando…
Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome
BACKGROUND: To explore the correlation between the volume of putamen and brain cognitive impairment in patients with HIV and to predict the feasibility of early-stage HIV brain cognitive impairment through radiomics. METHOD: Retrospective selection of 90 patients with HIV infection, including 36 asy...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941706/ https://www.ncbi.nlm.nih.gov/pubmed/33750319 http://dx.doi.org/10.1186/s12883-021-02114-x |
_version_ | 1783662182192381952 |
---|---|
author | Qi, Yu Xu, Man Wang, Wei Wang, Yuan-Yuan Liu, Jiao-Jiao Ren, Hai-Xia Liu, Ming-Ming Li, Rui-Li Li, Hong-Jun |
author_facet | Qi, Yu Xu, Man Wang, Wei Wang, Yuan-Yuan Liu, Jiao-Jiao Ren, Hai-Xia Liu, Ming-Ming Li, Rui-Li Li, Hong-Jun |
author_sort | Qi, Yu |
collection | PubMed |
description | BACKGROUND: To explore the correlation between the volume of putamen and brain cognitive impairment in patients with HIV and to predict the feasibility of early-stage HIV brain cognitive impairment through radiomics. METHOD: Retrospective selection of 90 patients with HIV infection, including 36 asymptomatic neurocognitive impairment (ANI) patients and 54 pre-clinical ANI patients in Beijing YouAn Hospital. All patients received comprehensive neuropsychological assessment and MRI scanning. 3D Slicer software was used to acquire volume of interest (VOI) and radiomics features. Clinical variables and volume of putamen were compared between patients with ANI and pre-clinical ANI. The Kruskal Wallis test was used to analysis multiple comparisons between groups. The relationship between cognitive scores and VOI was compared using linear regression. For radiomics, principal component analysis (PCA) was used to reduce model overfitting and calculations and then a support vector machine (SVM) was used to build a binary classification model. For model performance evaluation, we used an accuracy, sensitivity, specificity and receiver operating characteristic curve (ROC). RESULT: There were no significant differences in clinical variables between ANI group and pre-clinical-ANI group (P>0.05). The volume of bilateral putamen was significantly different between AHI group and pre-clinical group (P<0.05), but there was only a trend in the left putamen between ANI-treatment group and pre-clinical treatment group(P = 0.063). Reduced cognitive scores in Verbal Fluency, Attention/Working Memory, Executive Functioning, memory and Speed of Information Processing were negatively correlated with the increased VOI (P<0.05), but the correlation was relatively low. In diagnosing the ANI from pre-clinical ANI, the mean area under the ROC curves (AUC) were 0.85 ± 0.22, the mean sensitivity and specificity were 63.12 ± 5.51 and 94.25% ± 3.08%. CONCLUSION: The volumes of putamen in patients with ANI may be larger than patients with pre-clinical ANI, the change of the volume of the putamen may have a certain process; there is a relationship between putamen and cognitive impairment, but the exact mechanism is unclear. Radiomics may be a useful tool for predicting early stage HAND in patients with HIV. |
format | Online Article Text |
id | pubmed-7941706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79417062021-03-09 Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome Qi, Yu Xu, Man Wang, Wei Wang, Yuan-Yuan Liu, Jiao-Jiao Ren, Hai-Xia Liu, Ming-Ming Li, Rui-Li Li, Hong-Jun BMC Neurol Research Article BACKGROUND: To explore the correlation between the volume of putamen and brain cognitive impairment in patients with HIV and to predict the feasibility of early-stage HIV brain cognitive impairment through radiomics. METHOD: Retrospective selection of 90 patients with HIV infection, including 36 asymptomatic neurocognitive impairment (ANI) patients and 54 pre-clinical ANI patients in Beijing YouAn Hospital. All patients received comprehensive neuropsychological assessment and MRI scanning. 3D Slicer software was used to acquire volume of interest (VOI) and radiomics features. Clinical variables and volume of putamen were compared between patients with ANI and pre-clinical ANI. The Kruskal Wallis test was used to analysis multiple comparisons between groups. The relationship between cognitive scores and VOI was compared using linear regression. For radiomics, principal component analysis (PCA) was used to reduce model overfitting and calculations and then a support vector machine (SVM) was used to build a binary classification model. For model performance evaluation, we used an accuracy, sensitivity, specificity and receiver operating characteristic curve (ROC). RESULT: There were no significant differences in clinical variables between ANI group and pre-clinical-ANI group (P>0.05). The volume of bilateral putamen was significantly different between AHI group and pre-clinical group (P<0.05), but there was only a trend in the left putamen between ANI-treatment group and pre-clinical treatment group(P = 0.063). Reduced cognitive scores in Verbal Fluency, Attention/Working Memory, Executive Functioning, memory and Speed of Information Processing were negatively correlated with the increased VOI (P<0.05), but the correlation was relatively low. In diagnosing the ANI from pre-clinical ANI, the mean area under the ROC curves (AUC) were 0.85 ± 0.22, the mean sensitivity and specificity were 63.12 ± 5.51 and 94.25% ± 3.08%. CONCLUSION: The volumes of putamen in patients with ANI may be larger than patients with pre-clinical ANI, the change of the volume of the putamen may have a certain process; there is a relationship between putamen and cognitive impairment, but the exact mechanism is unclear. Radiomics may be a useful tool for predicting early stage HAND in patients with HIV. BioMed Central 2021-03-09 /pmc/articles/PMC7941706/ /pubmed/33750319 http://dx.doi.org/10.1186/s12883-021-02114-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Qi, Yu Xu, Man Wang, Wei Wang, Yuan-Yuan Liu, Jiao-Jiao Ren, Hai-Xia Liu, Ming-Ming Li, Rui-Li Li, Hong-Jun Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome |
title | Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome |
title_full | Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome |
title_fullStr | Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome |
title_full_unstemmed | Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome |
title_short | Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome |
title_sort | early prediction of putamen imaging features in hiv-associated neurocognitive impairment syndrome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941706/ https://www.ncbi.nlm.nih.gov/pubmed/33750319 http://dx.doi.org/10.1186/s12883-021-02114-x |
work_keys_str_mv | AT qiyu earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome AT xuman earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome AT wangwei earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome AT wangyuanyuan earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome AT liujiaojiao earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome AT renhaixia earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome AT liumingming earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome AT liruili earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome AT lihongjun earlypredictionofputamenimagingfeaturesinhivassociatedneurocognitiveimpairmentsyndrome |