Diffusion MRI is superior to quantitative T2-FLAIR mismatch in predicting molecular subtypes of human non-enhancing gliomas.
Purpose: This study compared the classification performance of normalized apparent diffusion coefficient (nADC) with percentage T2-FLAIR mismatch-volume (%T2FM-volume) for differentiating between IDH-mutant astrocytoma (IDHm-A) and other glioma molecular subtypes. Methods: A total of 105 non-enhanci...
| Published in: | Neuroradiology Vol. 66; no. 12; pp. 2153 - 2163 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Springer Nature
Dec2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=181252290&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 181252290 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Dec2024 vid: 66 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 181252290 180146985 181252290 181252290 10.1007/s00234-024-03475-z 181252290 ppf: 2153 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Diffusion MRI is superior to quantitative T2-FLAIR mismatch in predicting molecular subtypes of human non-enhancing gliomas. aug: au: Cho, Nicholas S. Sanvito, Francesco Le, Viên Lam Oshima, Sonoko Teraishi, Ashley Yao, Jingwen Telesca, Donatello Raymond, Catalina Pope, Whitney B. Nghiemphu, Phioanh L. Lai, Albert Salamon, Noriko Cloughesy, Timothy F. Ellingson, Benjamin M. affil: Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA sug: subj: Magnetic Resonance Imaging Methods Subtraction Technique Glioma Diagnosis Glioma Classification Mutation Molecular Imaging Sensitivity and Specificity Evaluation Funding Source Human Exploratory Research Survival Analysis ROC Curve Multiple Logistic Regression Overall Survival Tumor Burden Paired T-Tests Repeated Measures Analysis of Variance Post Hoc Analysis Unpaired T-Tests Log-Rank Test Univariate Statistics Multivariate Analysis Cox Proportional Hazards Model Data Analysis Software Descriptive Statistics ab: Purpose: This study compared the classification performance of normalized apparent diffusion coefficient (nADC) with percentage T2-FLAIR mismatch-volume (%T2FM-volume) for differentiating between IDH-mutant astrocytoma (IDHm-A) and other glioma molecular subtypes. Methods: A total of 105 non-enhancing gliomas were studied. T2-FLAIR digital subtraction maps were used to identify T2FM and T2-FLAIR non-mismatch (T2FNM) subregions within tumor volumes of interest (VOIs). Median nADC from the whole tumor, T2FM, and T2NFM subregions and %T2FM-volume were obtained. IDHm-A classification analyses using receiver-operating characteristic curves and multiple logistic regression were performed in addition to exploratory survival analyses. Results: T2FM subregions had significantly higher nADC than T2FNM subregions within IDHm-A with ≥ 25% T2FM-volume (P < 0.0001). IDHm-A with ≥ 25% T2FM-volume demonstrated significantly higher whole tumor nADC compared to IDHm-A with < 25% T2FM-volume (P < 0.0001), and both IDHm-A subgroups demonstrated significantly higher nADC compared to IDH-mutant oligodendroglioma and IDH-wild-type gliomas (P < 0.05). For classification of IDHm-A vs. other gliomas, the area under curve (AUC) of nADC was significantly greater compared to the AUC of %T2FM-volume (P = 0.01, nADC AUC = 0.848, %T2FM-volume AUC = 0.714) along with greater sensitivity. In exploratory survival analyses within IDHm-A, %T2FM-volume was not associated with overall survival (P = 0.2), but there were non-significant trends for nADC (P = 0.07) and tumor volume (P = 0.051). Conclusion: T2-FLAIR subtraction maps are useful for characterizing IDHm-A imaging characteristics. nADC outperforms %T2FM-volume for classifying IDHm-A amongst non-enhancing gliomas with preserved high specificity and increased sensitivity, which may be related to inherent diffusivity differences regardless of T2FM. In line with previous findings on visual T2FM-sign, quantitative %T2FM-volume may not be prognostic. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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