Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas

Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas

Medical image processing and its quantitative analysis plays a vital role in several clinical scenarios, such as diagnosis as well as treatment. The results of this study show that there are 478 mRNAs differentially expressed in low grade as compared to anaplastic oligodendroglial tumor (2 Fold grea...

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Main Authors: Jun Zhao, Tiejun Gan, Jianhong Zhao, Junjie Mao, Wenjuan Zhang, Xiaoying Guan, Junlin Zhou
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Alexandria Engineering Journal
Subjects:
Oligodendrogliomas
Magnetic resonance imaging
Pathological grade
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016820305688
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spelling doaj-051fca5c404344b8b63ed26c16f4a0262021-06-02T14:25:45ZengElsevierAlexandria Engineering Journal1110-01682021-02-0160112911297Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomasJun Zhao0Tiejun Gan1Jianhong Zhao2Junjie Mao3Wenjuan Zhang4Xiaoying Guan5Junlin Zhou6Department of Radiology, Lan Zhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Nuclear Magnetic Resonance, Lan Zhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Radiology, Lan Zhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Radiology, Lan Zhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Radiology, Lan Zhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Pathology, Lan Zhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Radiology, Lan Zhou University Second Hospital, Lanzhou 730030, China; Corresponding author.Medical image processing and its quantitative analysis plays a vital role in several clinical scenarios, such as diagnosis as well as treatment. The results of this study show that there are 478 mRNAs differentially expressed in low grade as compared to anaplastic oligodendroglial tumor (2 Fold greater, p < 0.05) group. These genes participated in Gene Ontology and KEGG pathways such as cell migration, cell motility, and cytokine-cytokine receptor interaction. Oligodendroglial classification models derived from advanced imaging will improve the accuracy of tumor grading, provide prognostic information, and have potential to influence treatment decisions.http://www.sciencedirect.com/science/article/pii/S1110016820305688OligodendrogliomasMagnetic resonance imagingPathological grade
collection DOAJ
language English
format Article
sources DOAJ
author Jun Zhao
Tiejun Gan
Jianhong Zhao
Junjie Mao
Wenjuan Zhang
Xiaoying Guan
Junlin Zhou
spellingShingle Jun Zhao
Tiejun Gan
Jianhong Zhao
Junjie Mao
Wenjuan Zhang
Xiaoying Guan
Junlin Zhou
Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas
Alexandria Engineering Journal
Oligodendrogliomas
Magnetic resonance imaging
Pathological grade
author_facet Jun Zhao
Tiejun Gan
Jianhong Zhao
Junjie Mao
Wenjuan Zhang
Xiaoying Guan
Junlin Zhou
author_sort Jun Zhao
title Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas
title_short Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas
title_full Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas
title_fullStr Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas
title_full_unstemmed Predicting different pathological grades with contrast-enhanced MR imaging in oligodendrogliomas
title_sort predicting different pathological grades with contrast-enhanced mr imaging in oligodendrogliomas
publisher Elsevier
series Alexandria Engineering Journal
issn 1110-0168
publishDate 2021-02-01
description Medical image processing and its quantitative analysis plays a vital role in several clinical scenarios, such as diagnosis as well as treatment. The results of this study show that there are 478 mRNAs differentially expressed in low grade as compared to anaplastic oligodendroglial tumor (2 Fold greater, p < 0.05) group. These genes participated in Gene Ontology and KEGG pathways such as cell migration, cell motility, and cytokine-cytokine receptor interaction. Oligodendroglial classification models derived from advanced imaging will improve the accuracy of tumor grading, provide prognostic information, and have potential to influence treatment decisions.
topic Oligodendrogliomas
Magnetic resonance imaging
Pathological grade
url http://www.sciencedirect.com/science/article/pii/S1110016820305688
work_keys_str_mv AT junzhao predictingdifferentpathologicalgradeswithcontrastenhancedmrimaginginoligodendrogliomas
AT tiejungan predictingdifferentpathologicalgradeswithcontrastenhancedmrimaginginoligodendrogliomas
AT jianhongzhao predictingdifferentpathologicalgradeswithcontrastenhancedmrimaginginoligodendrogliomas
AT junjiemao predictingdifferentpathologicalgradeswithcontrastenhancedmrimaginginoligodendrogliomas
AT wenjuanzhang predictingdifferentpathologicalgradeswithcontrastenhancedmrimaginginoligodendrogliomas
AT xiaoyingguan predictingdifferentpathologicalgradeswithcontrastenhancedmrimaginginoligodendrogliomas
AT junlinzhou predictingdifferentpathologicalgradeswithcontrastenhancedmrimaginginoligodendrogliomas
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