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Predicting IDH mutation status of lower grade gliomas using standard MR imaging features and apparent diffusion coefficient

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机构: [1]Capital Med Univ, Xuanwu Hosp, Dept Radiol & Nucl Med, 45 Changchun St, Beijing, Peoples R China [2]Beijing Key Lab Magnet Resonance Imaging & Brain I, Beijing, Peoples R China [3]Capital Med Univ, Xuanwu Hosp, Dept Radiat Oncol, Beijing, Peoples R China [4]Capital Med Univ, Xuanwu Hosp, Dept Pathol, Beijing, Peoples R China
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关键词: Glioma Magnetic Resonance Imaging (MRI) Isocitrate dehydrogenase (IDH) Diffusion magnetic resonance imaging

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PurposeThe purpose of this study was to investigate the predictive value of standard MR imaging features and apparent diffusion coefficient (ADC) values as specific markers for isocitrate dehydrogenase (IDH)-mutated lower grade gliomas (LGGs).Materials and methodsStandard MR imaging features including location, T2-FLAIR mismatch sign, signal heterogeneity, margin, growth pattern, degree of enhancement and peritumoral edema, and ADC parameters of 74 LGGs were retrospectively assessed. The values of these imaging features in predicting IDH genotypes were further analyzed.ResultsInter-rater agreement of T2-FLAIR mismatch sign reached the highest & kappa; value. The specificity of T2-FLAIR mismatch sign to predict IDH-mutated LGGs was 100%. IDH-mutated LGGs also tended to manifest single-lobe invasion, distinct margin, less degree of contrast enhancement and peritumoral edema, and higher normalized minimum and mean ADC than IDH-wildtype LGGs (all P < 0.05). The sensitivity, specificity, and AUC of the combination of the imaging features and ADC parameters to predict IDH genotypes were 81.82%, 86.67%, and 0.925, respectively (P < 0.001).ConclusionStandard MRI could clearly show the imaging features of different IDH subtypes of gliomas, which could be easily applied in clinical practice and helpful to use in predicting IDH mutation status of LGGs non-invasively.

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出版当年[2019]版:
最新[2023]版:
Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版]

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第一作者机构: [1]Capital Med Univ, Xuanwu Hosp, Dept Radiol & Nucl Med, 45 Changchun St, Beijing, Peoples R China [2]Beijing Key Lab Magnet Resonance Imaging & Brain I, Beijing, Peoples R China
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通讯机构: [1]Capital Med Univ, Xuanwu Hosp, Dept Radiol & Nucl Med, 45 Changchun St, Beijing, Peoples R China [2]Beijing Key Lab Magnet Resonance Imaging & Brain I, Beijing, Peoples R China
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