» Articles » PMID: 31694820

Diffusion Characteristics of Pediatric Diffuse Midline Gliomas with Histone H3-K27M Mutation Using Apparent Diffusion Coefficient Histogram Analysis

Overview
Specialty Neurology
Date 2019 Nov 8
PMID 31694820
Citations 26
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Purpose: Diffuse midline gliomas with histone H3 K27M mutation are biologically aggressive tumors with poor prognosis defined as a new diagnostic entity in the 2016 World Health Organization Classification of Tumors of the Central Nervous System. There are no qualitative imaging differences (enhancement, border, or central necrosis) between histone H3 wildtype and H3 K27M-mutant diffuse midline gliomas. Herein, we evaluated the utility of diffusion-weighted imaging to distinguish H3 K27M-mutant from histone H3 wildtype diffuse midline gliomas.

Materials And Methods: We identified 31 pediatric patients (younger than 21 years of age) with diffuse gliomas centered in midline structures that had undergone assessment for histone H3 K27M mutation. We measured ADC within these tumors using a voxel-based 3D whole-tumor measurement method.

Results: Our cohort included 18 infratentorial and 13 supratentorial diffuse gliomas centered in midline structures. Twenty-three (74%) tumors carried H3-K27M mutations. There was no difference in ADC histogram parameters (mean, median, minimum, maximum, percentiles) between mutant and wild-type tumors. Subgroup analysis based on tumor location also did not identify a difference in histogram descriptive statistics. Patients who survived <1 year after diagnosis had lower median ADC (1.10 × 10mm/s; 95% CI, 0.90-1.30) compared with patients who survived >1 year (1.46 × 10mm/s; 95% CI, 1.19-1.67; < .06). Average ADC values for diffuse midline gliomas were 1.28 × 10mm/s (95% CI, 1.21-1.34) and 0.86 × 10mm/s (95% CI, 0.69-1.01) for hemispheric glioblastomas with < .05.

Conclusions: Although no statistically significant difference in diffusion characteristics was found between H3-K27M mutant and H3 wildtype diffuse midline gliomas, lower diffusivity corresponds to a lower survival rate at 1 year after diagnosis. These findings can have an impact on the anticipated clinical course for this patient population and offer providers and families guidance on clinical outcomes.

Citing Articles

Neuroradiological, genetic and clinical characteristics of histone H3 K27-mutant diffuse midline gliomas in the Kansai Molecular Diagnosis Network for CNS Tumors (Kansai Network): multicenter retrospective cohort.

Hayashi N, Fukai J, Nakatogawa H, Kawaji H, Yoshioka E, Kodama Y Acta Neuropathol Commun. 2024; 12(1):120.

PMID: 39061104 PMC: 11282756. DOI: 10.1186/s40478-024-01808-w.


Approaches to supratentorial brain tumours in children.

Sepulveda F, Scotto Opipari R, Coppola F, Ramaglia A, Mankad K, Alves C Neuroradiology. 2024; 66(9):1495-1512.

PMID: 38953989 DOI: 10.1007/s00234-024-03398-9.


Diffusion MRI is valuable in brainstem glioma genotyping with quantitative measurements of white matter tracts.

Xiao X, Yang N, Gu G, Wang X, Jiang Z, Li T Eur Radiol. 2023; 34(5):2921-2933.

PMID: 37926739 DOI: 10.1007/s00330-023-10377-w.


Dynamic susceptibility contrast perfusion-weighted and diffusion-weighted magnetic resonance imaging findings in pilocytic astrocytoma and H3.3 and H3.1 variant diffuse midline glioma, H3K27-altered.

Kurokawa R, Kurokawa M, Baba A, Kim J, Srinivasan A, Moritani T PLoS One. 2023; 18(7):e0288412.

PMID: 37450487 PMC: 10348548. DOI: 10.1371/journal.pone.0288412.


Adult spinal cord diffuse midline glioma, H3 K27-altered mimics symptoms of central nervous system infection: a case report.

Chen X, Li Y, Bu H, Zou Y, He J, Liu H Front Neurol. 2023; 14:1097157.

PMID: 37396765 PMC: 10310954. DOI: 10.3389/fneur.2023.1097157.


References
1.
Hoshide R, Jandial R . 2016 World Health Organization Classification of Central Nervous System Tumors: An Era of Molecular Biology. World Neurosurg. 2016; 94:561-562. DOI: 10.1016/j.wneu.2016.07.082. View

2.
Nowosielski M, Recheis W, Goebel G, Guler O, Tinkhauser G, Kostron H . ADC histograms predict response to anti-angiogenic therapy in patients with recurrent high-grade glioma. Neuroradiology. 2010; 53(4):291-302. PMC: 3063200. DOI: 10.1007/s00234-010-0808-0. View

3.
Nikbakht H, Panditharatna E, Mikael L, Li R, Gayden T, Osmond M . Spatial and temporal homogeneity of driver mutations in diffuse intrinsic pontine glioma. Nat Commun. 2016; 7:11185. PMC: 4823825. DOI: 10.1038/ncomms11185. View

4.
Sturm D, Witt H, Hovestadt V, Khuong-Quang D, Jones D, Konermann C . Hotspot mutations in H3F3A and IDH1 define distinct epigenetic and biological subgroups of glioblastoma. Cancer Cell. 2012; 22(4):425-37. DOI: 10.1016/j.ccr.2012.08.024. View

5.
Pope W, Lai A, Mehta R, Kim H, Qiao J, Young J . Apparent diffusion coefficient histogram analysis stratifies progression-free survival in newly diagnosed bevacizumab-treated glioblastoma. AJNR Am J Neuroradiol. 2011; 32(5):882-9. PMC: 7965548. DOI: 10.3174/ajnr.A2385. View