Skip to main content
Log in

Dynamic susceptibility contrast-MRI parameters, ADC values, and the T2-FLAIR mismatch sign are useful to differentiate between H3-mutant and H3-wild-type high-grade midline glioma

  • Neuro
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

Diffuse midline gliomas, H3K27-altered (DMG-A), are malignant gliomas with an unfavorable prognosis. Knowledge of dynamic susceptibility contrast (DSC) MRI findings and imaging differences with high-grade midline glioma without H3K27 alteration (DMG-W) has been limited. We compared the DSC, ADC, and conventional MRI findings between DMG-A and DMG-W.

Methods

In this single institutional retrospective study, the electronic database of our hospital between June 2015 and May 2021 was searched. Twenty and 17 patients with DMG-A (median, 13 years; range, 3–52 years; 11 females) and DMG-W (median, 40 years; 7–73 years; 9 females), respectively, were found. Normalized relative cerebral blood flow (nrCBF) and normalized corrected relative cerebral blood volume (ncrCBV); normalized maximum, mean, and minimum ADC values; and the prevalence of T2-FLAIR mismatch sign were compared between the two groups using Mann–Whitney U tests and Fisher’s exact test.

Results

The nrCBF and ncrCBV were significantly lower in DMG-A compared with DMG-W (nrCBF: median 0.88 [range, 0.19–2.67] vs. 1.47 [range, 0.57–4.90] (p < 0.001); ncrCBV: 1.17 [0.20–2.67] vs. 1.56 [0.60–4.03] (p = 0.008)). Normalized maximum ADC (nADCmax) was significantly higher in DMG-A (median 2.37 [1.25–3.98] vs. 1.95 [1.23–2.77], p = 0.02). T2-FLAIR mismatch sign was significantly more common in DMG-A (11/20 (55.0%) vs. 1/17 (5.9%), p = 0.0017). When at least two of nrCBF < 1.11, nADCmax ≥ 2.48, and T2-FLAIR mismatch sign were positive, the diagnostic performance was the highest with accuracy of 0.81.

Conclusion

DSC-MRI parameters, ADC values, and the T2-FLAIR mismatch sign are useful to differentiate between DMG-A and DMG-W.

Key Points

Diffuse midline glioma, H3K27-altered (DMG-A), showed a significantly lower normalized relative cerebral blood flow and volume compared with H3K27-wild-type counterparts (DMG-W).

T2-fluid-attenuated inversion recovery (FLAIR) mismatch sign was significantly more frequent in DMG-A compared to DMG-W.

Indicators that combined DSC parameters, ADC values, and T2-FLAIR mismatch sign, with or without age, are useful to distinguish the two tumors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

AIF:

Arterial input function

DMG-A:

Diffuse midline glioma, H3K27-altered

DMG-W:

Midline high-grade glioma without H3K27 alteration

DSC:

Dynamic susceptibility contrast

nADCmax /mean/min :

Normalized maximum/mean/minimum ADC

ncrCBV:

Normalized corrected relative cerebral blood volume

nrCBF:

Normalized relative cerebral blood flow

ROI:

Region-of-interest

WHO:

World Health Organization

References

  1. Louis DN, Perry A, Reifenberger G et al (2016) The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol 131:803–820

    Article  Google Scholar 

  2. Louis DN, Perry A, Wesseling P et al (2021) The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro Oncol. https://doi.org/10.1093/neuonc/noab106

    Article  PubMed  Google Scholar 

  3. Sievers P, Sill M, Schrimpf D et al (2021) A subset of pediatric-type thalamic gliomas share a distinct DNA methylation profile, H3K27me3 loss and frequent alteration of EGFR. Neuro Oncol 23:34–43

    Article  CAS  Google Scholar 

  4. Cooney TM, Lubanszky E, Prasad R, Hawkins C, Mueller S (2020) Diffuse midline glioma: review of epigenetics. J Neurooncol 150:27–34

    Article  CAS  Google Scholar 

  5. Aboian MS, Solomon DA, Felton E et al (2017) Imaging characteristics of pediatric diffuse midline gliomas with histone H3 K27M mutation. AJNR Am J Neuroradiol 38:795–800

    Article  CAS  Google Scholar 

  6. Mackay A, Burford A, Carvalho D et al (2017) Integrated molecular meta-analysis of 1,000 pediatric high-grade and diffuse intrinsic pontine glioma. Cancer Cell 32:520-537.e5

    Article  CAS  Google Scholar 

  7. Aboian MS, Tong E, Solomon DA et al (2019) Diffusion characteristics of pediatric diffuse midline gliomas with histone H3–K27M mutation using apparent diffusion coefficient histogram analysis. AJNR Am J Neuroradiol 40:1804–1810

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Schulte JD, Buerki RA, Lapointe S et al (2020) Clinical, radiologic, and genetic characteristics of histone H3 K27M-mutant diffuse midline gliomas in adults. Neurooncol Adv 2:vdaa142

    PubMed  PubMed Central  Google Scholar 

  9. Leach JL, Roebker J, Schafer A et al (2020) MR imaging features of diffuse intrinsic pontine glioma and relationship to overall survival: report from the International DIPG Registry. Neuro Oncol 22:1647–1657

    Article  Google Scholar 

  10. Thust S, Micallef C, Okuchi S et al (2021) Imaging characteristics of H3 K27M histone-mutant diffuse midline glioma in teenagers and adults. Quant Imaging Med Surg 11:43–56

    Article  Google Scholar 

  11. Morana G, Tortora D, Staglianò S et al (2018) Pediatric astrocytic tumor grading: comparison between arterial spin labeling and dynamic susceptibility contrast MRI perfusion. Neuroradiology 60:437–446

    Article  Google Scholar 

  12. Nguyen TB, Cron GO, Perdrizet K et al (2015) Comparison of the diagnostic accuracy of DSC- and dynamic contrast-enhanced MRI in the preoperative grading of astrocytomas. AJNR Am J Neuroradiol 36:2017–2022

    Article  CAS  Google Scholar 

  13. Löbel U, Sedlacik J, Reddick WE et al (2011) Quantitative diffusion-weighted and dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging analysis of T2 hypointense lesion components in pediatric diffuse intrinsic pontine glioma. AJNR Am J Neuroradiol 32:315–322

    Article  Google Scholar 

  14. Sedlacik J, Winchell A, Kocak M, Loeffler RB, Broniscer A, Hillenbrand CM (2013) MR imaging assessment of tumor perfusion and 3D segmented volume at baseline, during treatment, and at tumor progression in children with newly diagnosed diffuse intrinsic pontine glioma. AJNR Am J Neuroradiol 34:1450–1455

    Article  CAS  Google Scholar 

  15. Patel SH, Poisson LM, Brat DJ et al (2017) T2-FLAIR mismatch, an imaging biomarker for IDH and 1p/19q status in lower-grade gliomas: a TCGA/TCIA project. Clin Cancer Res 23:6078–6085

    Article  CAS  Google Scholar 

  16. Juratli TA, Tummala SS, Riedl A et al (2019) Radiographic assessment of contrast enhancement and T2/FLAIR mismatch sign in lower grade gliomas: correlation with molecular groups. J Neurooncol 141:327–335

    Article  CAS  Google Scholar 

  17. Chen H, Hu W, He H, Yang Y, Wen G, Lv X (2019) Noninvasive assessment of H3 K27M mutational status in diffuse midline gliomas by using apparent diffusion coefficient measurements. Eur J Radiol 114:152–159

    Article  Google Scholar 

  18. Mouridsen K, Christensen S, Gyldensted L, Ostergaard L (2006) Automatic selection of arterial input function using cluster analysis. Magn Reson Med 55:524–531

    Article  Google Scholar 

  19. Meyronet D, Esteban-Mader M, Bonnet C et al (2017) Characteristics of H3 K27M-mutant gliomas in adults. Neuro Oncol 19:1127–1134

    Article  CAS  Google Scholar 

  20. Ebrahimi A, Skardelly M, Schuhmann MU et al (2019) High frequency of H3 K27M mutations in adult midline gliomas. J Cancer Res Clin Oncol 145:839–850

    Article  CAS  Google Scholar 

  21. Schreck KC, Ranjan S, Skorupan N et al (2019) Incidence and clinicopathologic features of H3 K27M mutations in adults with radiographically-determined midline gliomas. J Neurooncol 143:87–93

    Article  CAS  Google Scholar 

  22. Chi AS, Tarapore RS, Hall MD et al (2019) Pediatric and adult H3 K27M-mutant diffuse midline glioma treated with the selective DRD2 antagonist ONC201. J Neurooncol 145:97–105

    Article  CAS  Google Scholar 

  23. Broen MPG, Smits M, Wijnenga MMJ et al (2018) The T2-FLAIR mismatch sign as an imaging marker for non-enhancing IDH-mutant, 1p/19q-intact lower-grade glioma: a validation study. Neuro Oncol 20:1393–1399

    Article  CAS  Google Scholar 

  24. Fujita Y, Nagashima H, Tanaka K et al (2021) The histopathologic and radiologic features of T2-FLAIR mismatch sign in IDH-Mutant 1p/19q non-codeleted astrocytomas. World Neurosurg 149:e253–e260

    Article  Google Scholar 

  25. Deguchi S, Oishi T, Mitsuya K et al (2020) Clinicopathological analysis of T2-FLAIR mismatch sign in lower-grade gliomas. Sci Rep 10:10113

    Article  CAS  Google Scholar 

  26. Aliotta E, Dutta SW, Feng X et al (2020) Automated apparent diffusion coefficient analysis for genotype prediction in lower grade glioma: association with the T2-FLAIR mismatch sign. J Neurooncol 149:325–335

    Article  CAS  Google Scholar 

  27. Onishi S, Amatya VJ, Kolakshyapati M et al (2020) T2-FLAIR mismatch sign in dysembryoplasticneuroepithelial tumor. Eur J Radiol 126:108924

    Article  Google Scholar 

  28. Johnson DR, Kaufmann TJ, Patel SH, Chi AS, Snuderl M, Jain R (2019) There is an exception to every rule-T2-FLAIR mismatch sign in gliomas. Neuroradiology 61:225–227

    Article  Google Scholar 

  29. Draaisma K, Wijnenga MM, Weenink B et al (2015) PI3 kinase mutations and mutational load as poor prognostic markers in diffuse glioma patients. Acta Neuropathol Commun 3:88

    Article  Google Scholar 

  30. Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M (1986) MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161:401–407

    Article  Google Scholar 

  31. Harshbarger TB, Song AW (2006) Endogenous functional CBV contrast revealed by diffusion weighting. NMR Biomed 19:1020–1027

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Ms. Nancy Dudek, an MRI Technologist at University of Michigan Health System, for her technical support. The authors thank Dr. Takeru Q Suyama at National Institute of Informatics, for his advice on statistics.

Funding

The authors state that this work has not received any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ryo Kurokawa.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Toshio Moritani, Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive Ann Arbor, MI 48109, United States.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• performed at one institution

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 18 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kurokawa, R., Kurokawa, M., Baba, A. et al. Dynamic susceptibility contrast-MRI parameters, ADC values, and the T2-FLAIR mismatch sign are useful to differentiate between H3-mutant and H3-wild-type high-grade midline glioma. Eur Radiol 32, 3672–3682 (2022). https://doi.org/10.1007/s00330-021-08476-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-021-08476-7

Keywords

Navigation