Cargando…

Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm

The purpose of this study was to analyze the diagnostic value of magnetic resonance imaging (MRI) based on the immune clustering algorithm (ICA) in children with purulent meningitis. In this study, 235 children with suspected pediatric purulent meningitis (PPM) were routinely scanned, and the artifi...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Dafei, He, Pan, Guo, Qian, Huang, Yuanlu, Yan, Hongxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930259/
https://www.ncbi.nlm.nih.gov/pubmed/35350702
http://dx.doi.org/10.1155/2022/9751620
_version_ 1784671023989260288
author Wei, Dafei
He, Pan
Guo, Qian
Huang, Yuanlu
Yan, Hongxia
author_facet Wei, Dafei
He, Pan
Guo, Qian
Huang, Yuanlu
Yan, Hongxia
author_sort Wei, Dafei
collection PubMed
description The purpose of this study was to analyze the diagnostic value of magnetic resonance imaging (MRI) based on the immune clustering algorithm (ICA) in children with purulent meningitis. In this study, 235 children with suspected pediatric purulent meningitis (PPM) were routinely scanned, and the artificial immune algorithm (AIA) and ICA were applied to image processing. In order to quantitatively analyze the accuracy and precision of the processed image, precision rate was introduced as the evaluation of accuracy, and the True Positive Vis Fox, False Negative Vis Fo, and False Positive Vis Fo were selected as the evaluation indicators. After comparison, the accuracy, sensitivity, and specificity of ICA detection were higher than those of AIA and conventional plain scanning, and the differences were statistically obvious (P < 0.05). Comparison on image display effects showed that compared with AIA, the image processed by the ICA algorithm constructed in this study showed the highest definition and contrast and the best denoising effect and image quality, showing a statistically obvious difference (P < 0.05). All in all, the display effect of MRI images of pediatric purulent meningitis based on ICA was more accurate and clearer than that of the traditional image processing, and it can provide a more accurate auxiliary basis in the diagnosis of lesion details. It also showed a higher clinical value for the development of a diagnosis and treatment plan for complicated PPM.
format Online
Article
Text
id pubmed-8930259
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-89302592022-03-28 Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm Wei, Dafei He, Pan Guo, Qian Huang, Yuanlu Yan, Hongxia Contrast Media Mol Imaging Research Article The purpose of this study was to analyze the diagnostic value of magnetic resonance imaging (MRI) based on the immune clustering algorithm (ICA) in children with purulent meningitis. In this study, 235 children with suspected pediatric purulent meningitis (PPM) were routinely scanned, and the artificial immune algorithm (AIA) and ICA were applied to image processing. In order to quantitatively analyze the accuracy and precision of the processed image, precision rate was introduced as the evaluation of accuracy, and the True Positive Vis Fox, False Negative Vis Fo, and False Positive Vis Fo were selected as the evaluation indicators. After comparison, the accuracy, sensitivity, and specificity of ICA detection were higher than those of AIA and conventional plain scanning, and the differences were statistically obvious (P < 0.05). Comparison on image display effects showed that compared with AIA, the image processed by the ICA algorithm constructed in this study showed the highest definition and contrast and the best denoising effect and image quality, showing a statistically obvious difference (P < 0.05). All in all, the display effect of MRI images of pediatric purulent meningitis based on ICA was more accurate and clearer than that of the traditional image processing, and it can provide a more accurate auxiliary basis in the diagnosis of lesion details. It also showed a higher clinical value for the development of a diagnosis and treatment plan for complicated PPM. Hindawi 2022-03-10 /pmc/articles/PMC8930259/ /pubmed/35350702 http://dx.doi.org/10.1155/2022/9751620 Text en Copyright © 2022 Dafei Wei et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wei, Dafei
He, Pan
Guo, Qian
Huang, Yuanlu
Yan, Hongxia
Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm
title Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm
title_full Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm
title_fullStr Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm
title_full_unstemmed Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm
title_short Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm
title_sort magnetic resonance imaging manifestations of pediatric purulent meningitis based on immune clustering algorithm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930259/
https://www.ncbi.nlm.nih.gov/pubmed/35350702
http://dx.doi.org/10.1155/2022/9751620
work_keys_str_mv AT weidafei magneticresonanceimagingmanifestationsofpediatricpurulentmeningitisbasedonimmuneclusteringalgorithm
AT hepan magneticresonanceimagingmanifestationsofpediatricpurulentmeningitisbasedonimmuneclusteringalgorithm
AT guoqian magneticresonanceimagingmanifestationsofpediatricpurulentmeningitisbasedonimmuneclusteringalgorithm
AT huangyuanlu magneticresonanceimagingmanifestationsofpediatricpurulentmeningitisbasedonimmuneclusteringalgorithm
AT yanhongxia magneticresonanceimagingmanifestationsofpediatricpurulentmeningitisbasedonimmuneclusteringalgorithm