Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas
- PMID: 29519794
- PMCID: PMC7410765
- DOI: 10.3174/ajnr.A5569
Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas
Abstract
Background and purpose: Prediction of the isocitrate dehydrogenase 1 (IDH1)-mutation and 1p/19q-codeletion status of World Health Organization grade ll gliomas preoperatively may assist in predicting prognosis and planning treatment strategies. Our aim was to characterize the histogram and texture analyses of apparent diffusion coefficient and fractional anisotropy maps to determine IDH1-mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.
Materials and methods: Ninety-three patients with World Health Organization grade II gliomas with known IDH1-mutation and 1p/19q-codeletion status (18 IDH1 wild-type, 45 IDH1 mutant and no 1p/19q codeletion, 30 IDH1-mutant and 1p/19q codeleted tumors) underwent DTI. ROIs were drawn on every section of the T2-weighted images and transferred to the ADC and the fractional anisotropy maps to derive volume-based data of the entire tumor. Histogram and texture analyses were correlated with the IDH1-mutation and 1p/19q-codeletion status. The predictive powers of imaging features for IDH1 wild-type tumors and 1p/19q-codeletion status in IDH1-mutant subgroups were evaluated using the least absolute shrinkage and selection operator.
Results: Various histogram and texture parameters differed significantly according to IDH1-mutation and 1p/19q-codeletion status. The skewness and energy of ADC, 10th and 25th percentiles, and correlation of fractional anisotropy were independent predictors of an IDH1 wild-type in the least absolute shrinkage and selection operator. The area under the receiver operating curve for the prediction model was 0.853. The skewness and cluster shade of ADC, energy, and correlation of fractional anisotropy were independent predictors of a 1p/19q codeletion in IDH1-mutant tumors in the least absolute shrinkage and selection operator. The area under the receiver operating curve was 0.807.
Conclusions: Whole-tumor histogram and texture features of the ADC and fractional anisotropy maps are useful for predicting the IDH1-mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.
© 2018 by American Journal of Neuroradiology.
Similar articles
-
Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas.AJNR Am J Neuroradiol. 2018 Jan;39(1):37-42. doi: 10.3174/ajnr.A5421. Epub 2017 Nov 9. AJNR Am J Neuroradiol. 2018. PMID: 29122763 Free PMC article.
-
Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI.AJNR Am J Neuroradiol. 2019 Sep;40(9):1458-1463. doi: 10.3174/ajnr.A6162. Epub 2019 Aug 14. AJNR Am J Neuroradiol. 2019. PMID: 31413006 Free PMC article.
-
Magnetic resonance imaging texture analyses in lower-grade gliomas with a commercially available software: correlation of apparent diffusion coefficient and T2 skewness with 1p/19q codeletion.Neurosurg Rev. 2020 Aug;43(4):1211-1219. doi: 10.1007/s10143-019-01157-6. Epub 2019 Aug 11. Neurosurg Rev. 2020. PMID: 31402410
-
The T2-FLAIR-mismatch sign as an imaging biomarker for IDH and 1p/19q status in diffuse low-grade gliomas: a systematic review with a Bayesian approach to evaluation of diagnostic test performance.Neurosurg Focus. 2019 Dec 1;47(6):E13. doi: 10.3171/2019.9.FOCUS19660. Neurosurg Focus. 2019. PMID: 31786548
-
Radiation and chemotherapy for high-risk lower grade gliomas: Choosing between temozolomide and PCV.Cancer Med. 2020 Jan;9(1):3-11. doi: 10.1002/cam4.2686. Epub 2019 Nov 7. Cancer Med. 2020. PMID: 31701682 Free PMC article. Review.
Cited by
-
Advancing noninvasive glioma classification with diffusion radiomics: Exploring the impact of signal intensity normalization.Neurooncol Adv. 2024 Mar 22;6(1):vdae043. doi: 10.1093/noajnl/vdae043. eCollection 2024 Jan-Dec. Neurooncol Adv. 2024. PMID: 38596719 Free PMC article.
-
Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.J Magn Reson Imaging. 2023 Jun;57(6):1655-1675. doi: 10.1002/jmri.28662. Epub 2023 Mar 3. J Magn Reson Imaging. 2023. PMID: 36866773 Free PMC article. Review.
-
Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status.Neuroradiology. 2020 Mar;62(3):319-326. doi: 10.1007/s00234-019-02312-y. Epub 2019 Dec 9. Neuroradiology. 2020. PMID: 31820065
-
An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas.Radiat Oncol. 2022 Aug 22;17(1):147. doi: 10.1186/s13014-022-02090-7. Radiat Oncol. 2022. PMID: 35996160 Free PMC article.
-
Increased intratumoral infiltration in IDH wild-type lower-grade gliomas observed with diffusion tensor imaging.J Neurooncol. 2019 Nov;145(2):257-263. doi: 10.1007/s11060-019-03291-z. Epub 2019 Sep 17. J Neurooncol. 2019. PMID: 31531788
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous