Combined texture analysis of diffusion-weighted imaging with conventional MRI for non-invasive assessment of IDH1 mutation in anaplastic gliomas

Combined texture analysis of diffusion-weighted imaging with conventional MRI for non-invasive assessment of IDH1 mutation in anaplastic gliomas

To examine whether texture analysis (TA) of diffusion-weighted imaging (DWI) combined with conventional magnetic resonance imaging (MRI) could non-invasively predict isocitrate dehydrogenase 1 (IDH1) mutational status in anaplastic gliomas. Fifty-two patients with histologically confirmed anaplastic...

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Veröffentlicht in:Clinical radiology 2019-02, Vol.74 (2), p.154-160
Hauptverfasser: Su, C.-Q., Lu, S.-S., Zhou, M.-D., Shen, H., Shi, H.-B., Hong, X.-N.
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container_end_page 160
container_issue 2
container_start_page 154
container_title Clinical radiology
container_volume 74
creator Su, C.-Q.
Lu, S.-S.
Zhou, M.-D.
Shen, H.
Shi, H.-B.
Hong, X.-N.
description To examine whether texture analysis (TA) of diffusion-weighted imaging (DWI) combined with conventional magnetic resonance imaging (MRI) could non-invasively predict isocitrate dehydrogenase 1 (IDH1) mutational status in anaplastic gliomas. Fifty-two patients with histologically confirmed anaplastic glioma was reviewed retrospectively. Conventional MRI was evaluated using the Visually Accessible Rembrandt Images (VASARI) scoring system. TA of DWI based on the entire tumour volume was compared between IDH1-mutant and wild-type tumours by using unpaired Student's t-test. Receiver operating characteristic curve (ROC) and logistic regression were used to assess their diagnostic performance. Significant statistical differences in VASARI features and TA of DWI were observed between IDH1-mutant and wild-type tumours (all p
doi_str_mv 10.1016/j.crad.2018.10.002
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Fifty-two patients with histologically confirmed anaplastic glioma was reviewed retrospectively. Conventional MRI was evaluated using the Visually Accessible Rembrandt Images (VASARI) scoring system. TA of DWI based on the entire tumour volume was compared between IDH1-mutant and wild-type tumours by using unpaired Student's t-test. Receiver operating characteristic curve (ROC) and logistic regression were used to assess their diagnostic performance. Significant statistical differences in VASARI features and TA of DWI were observed between IDH1-mutant and wild-type tumours (all p&lt;0.05). Using multivariable logistic regression, the proportion of the tumour that was non-enhancing and the entropy of apparent diffusion coefficient (ADC) were found to possess higher prediction potential for IDH1 mutation with areas under the ROC curve (AUC) of 0.918 and 0.724, respectively. A combination of these for the identification of IDH1 mutations improved the AUC to 0.954, with a sensitivity and a specificity of 81% and 96%. The combined assessment of the conventional MRI and TA of DWI were useful for predicting IDH1 mutation in anaplastic gliomas. •Mutation in the IDH1 gene plays a significant role in gliomagenesis.•Proportion non-enhancing has significant association with IDH1-mutated AGs.•The TA of the ADC map can noninvasively assess the IDH1 mutational status in AGs.•The combination of cMRI and TA of DWI may help to predict IDH1 mutation in AGs.</description><identifier>ISSN: 0009-9260</identifier><identifier>EISSN: 1365-229X</identifier><identifier>DOI: 10.1016/j.crad.2018.10.002</identifier><identifier>PMID: 30391048</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><ispartof>Clinical radiology, 2019-02, Vol.74 (2), p.154-160</ispartof><rights>2018 The Royal College of Radiologists</rights><rights>Copyright © 2018 The Royal College of Radiologists. Published by Elsevier Ltd. 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Fifty-two patients with histologically confirmed anaplastic glioma was reviewed retrospectively. Conventional MRI was evaluated using the Visually Accessible Rembrandt Images (VASARI) scoring system. TA of DWI based on the entire tumour volume was compared between IDH1-mutant and wild-type tumours by using unpaired Student's t-test. Receiver operating characteristic curve (ROC) and logistic regression were used to assess their diagnostic performance. Significant statistical differences in VASARI features and TA of DWI were observed between IDH1-mutant and wild-type tumours (all p&lt;0.05). Using multivariable logistic regression, the proportion of the tumour that was non-enhancing and the entropy of apparent diffusion coefficient (ADC) were found to possess higher prediction potential for IDH1 mutation with areas under the ROC curve (AUC) of 0.918 and 0.724, respectively. 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Fifty-two patients with histologically confirmed anaplastic glioma was reviewed retrospectively. Conventional MRI was evaluated using the Visually Accessible Rembrandt Images (VASARI) scoring system. TA of DWI based on the entire tumour volume was compared between IDH1-mutant and wild-type tumours by using unpaired Student's t-test. Receiver operating characteristic curve (ROC) and logistic regression were used to assess their diagnostic performance. Significant statistical differences in VASARI features and TA of DWI were observed between IDH1-mutant and wild-type tumours (all p&lt;0.05). Using multivariable logistic regression, the proportion of the tumour that was non-enhancing and the entropy of apparent diffusion coefficient (ADC) were found to possess higher prediction potential for IDH1 mutation with areas under the ROC curve (AUC) of 0.918 and 0.724, respectively. A combination of these for the identification of IDH1 mutations improved the AUC to 0.954, with a sensitivity and a specificity of 81% and 96%. The combined assessment of the conventional MRI and TA of DWI were useful for predicting IDH1 mutation in anaplastic gliomas. •Mutation in the IDH1 gene plays a significant role in gliomagenesis.•Proportion non-enhancing has significant association with IDH1-mutated AGs.•The TA of the ADC map can noninvasively assess the IDH1 mutational status in AGs.•The combination of cMRI and TA of DWI may help to predict IDH1 mutation in AGs.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>30391048</pmid><doi>10.1016/j.crad.2018.10.002</doi><tpages>7</tpages></addata></record>
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title Combined texture analysis of diffusion-weighted imaging with conventional MRI for non-invasive assessment of IDH1 mutation in anaplastic gliomas
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