Diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the IDH1 mutation status in glioblastoma: a retrospective study

Background Glioblastoma (GBM), the most malignant form of gliomas, is a relatively common primary brain tumor in adults. Preoperative identification of isocitrate dehydrogenase 1 (IDH1) mutations in GBM is of critical prognostic importance. The aim of the present study was to explore the feasibility...

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Main Authors: Qun Wang, Jiashu Zhang, Fangye Li, Xinghua Xu, Bainan Xu
Format: Article
Language:English
Published: PeerJ Inc. 2019-06-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/7154.pdf
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author Qun Wang
Jiashu Zhang
Fangye Li
Xinghua Xu
Bainan Xu
author_facet Qun Wang
Jiashu Zhang
Fangye Li
Xinghua Xu
Bainan Xu
author_sort Qun Wang
collection DOAJ
description Background Glioblastoma (GBM), the most malignant form of gliomas, is a relatively common primary brain tumor in adults. Preoperative identification of isocitrate dehydrogenase 1 (IDH1) mutations in GBM is of critical prognostic importance. The aim of the present study was to explore the feasibility and diagnostic performance of basic patient information combined with conventional magnetic resonance imaging (MRI) findings for determination of the IDH1 status (mutant vs wild type) in patients with GBM. Methods From January 1, 2016 to December 31, 2017, a consecutive series of 50 patients with GBM was retrospectively collected. The patients were divided into two group according to their IDH1 mutation status. Basic information and MRI features were analyzed for the establishment of a diagnostic prediction model using logistic regression. A receiver operating characteristic curve was used to evaluate the diagnostic performance. Results Patients with IDH1-mutant tumors were younger than those with IDH1-wild type tumors, and exhibited a larger tumor volume. The diagnostic predictive model established by combining age and the tumor size exhibited a sensitivity and specificity of 70% and 93%, respectively. The area under the curve was 0.88, which indicated high diagnostic performance. Conclusion Patient age and tumor volume can be used as indicators of IDH1 mutation status in patients with GBM, with high diagnostic performance for simple evaluations in clinical practice. The combined use of these two indicators can further enhance the diagnostic specificity.
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spelling doaj.art-5c3dced1abfc4dcabbf4485f2709994b2023-12-03T09:57:14ZengPeerJ Inc.PeerJ2167-83592019-06-017e715410.7717/peerj.7154Diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the IDH1 mutation status in glioblastoma: a retrospective studyQun WangJiashu ZhangFangye LiXinghua XuBainan XuBackground Glioblastoma (GBM), the most malignant form of gliomas, is a relatively common primary brain tumor in adults. Preoperative identification of isocitrate dehydrogenase 1 (IDH1) mutations in GBM is of critical prognostic importance. The aim of the present study was to explore the feasibility and diagnostic performance of basic patient information combined with conventional magnetic resonance imaging (MRI) findings for determination of the IDH1 status (mutant vs wild type) in patients with GBM. Methods From January 1, 2016 to December 31, 2017, a consecutive series of 50 patients with GBM was retrospectively collected. The patients were divided into two group according to their IDH1 mutation status. Basic information and MRI features were analyzed for the establishment of a diagnostic prediction model using logistic regression. A receiver operating characteristic curve was used to evaluate the diagnostic performance. Results Patients with IDH1-mutant tumors were younger than those with IDH1-wild type tumors, and exhibited a larger tumor volume. The diagnostic predictive model established by combining age and the tumor size exhibited a sensitivity and specificity of 70% and 93%, respectively. The area under the curve was 0.88, which indicated high diagnostic performance. Conclusion Patient age and tumor volume can be used as indicators of IDH1 mutation status in patients with GBM, with high diagnostic performance for simple evaluations in clinical practice. The combined use of these two indicators can further enhance the diagnostic specificity.https://peerj.com/articles/7154.pdfIsocitrate dehydrogenase 1 (IDH1)AgeTumor sizeGlioblastomaMagnetic resonance imaging
spellingShingle Qun Wang
Jiashu Zhang
Fangye Li
Xinghua Xu
Bainan Xu
Diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the IDH1 mutation status in glioblastoma: a retrospective study
PeerJ
Isocitrate dehydrogenase 1 (IDH1)
Age
Tumor size
Glioblastoma
Magnetic resonance imaging
title Diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the IDH1 mutation status in glioblastoma: a retrospective study
title_full Diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the IDH1 mutation status in glioblastoma: a retrospective study
title_fullStr Diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the IDH1 mutation status in glioblastoma: a retrospective study
title_full_unstemmed Diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the IDH1 mutation status in glioblastoma: a retrospective study
title_short Diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the IDH1 mutation status in glioblastoma: a retrospective study
title_sort diagnostic performance of clinical properties and conventional magnetic resonance imaging for determining the idh1 mutation status in glioblastoma a retrospective study
topic Isocitrate dehydrogenase 1 (IDH1)
Age
Tumor size
Glioblastoma
Magnetic resonance imaging
url https://peerj.com/articles/7154.pdf
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