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Identification of prognostic imaging biomarkers in H3 K27-altered diffuse midline gliomas in adults: impact of tumor oxygenation imaging biomarkers on survival.

Authors :
Sim, Yongsik
Choi, Kaeum
Han, Kyunghwa
Choi, Seo Hee
Lee, Narae
Park, Yae Won
Shin, Na-Young
Ahn, Sung Soo
Chang, Jong Hee
Kim, Se Hoon
Lee, Seung-Koo
Source :
Neuroradiology. Sep2024, Vol. 66 Issue 9, p1581-1591. 11p.
Publication Year :
2024

Abstract

Purpose: To investigate prognostic markers for H3 K27-altered diffuse midline gliomas (DMGs) in adults with clinical, qualitative and quantitative imaging phenotypes, including tumor oxygenation characteristics. Methods: Retrospective chart and imaging reviews were conducted on 32 adults with H3 K27-altered DMGs between 2017 and 2023. Clinical and qualitative imaging characteristics were analyzed. Quantitative imaging assessment was performed from the tumor mask via automatic segmentation to calculate normalized cerebral blood volume (nCBV), capillary transit time heterogeneity (CTH), oxygen extraction fraction (OEF), relative cerebral metabolic rate of oxygen (rCMRO2), and mean ADC values. Leptomeningeal metastases (LM) was diagnosed with imaging. Cox analyses were conducted to determine predictors of overall survival (OS) in entire patients and a subgroup of patients with contrast-enhancing (CE) tumor. Results: The median patient age was 40.5 years (range 19.9–75.7), with an OS of 30.3 months (interquartile range 11.3–32.3). In entire patients, the presence of LM was the only independent predictor of OS (hazard ratio [HR] = 6.01, P = 0.009). In the subgroup of 23 (71.9%) patients with CE tumors, rCMRO2 of CE tumor (HR = 1.08, P = 0.019) and the presence of LM (HR = 5.92, P = 0.043) were independent predictors of OS. Conclusion: The presence of LM was independently associated with poor prognosis in adult patients with H3 K27-altered DMG. In patients with CE tumors, higher rCMRO2 of CE tumor, which may reflect higher metabolic activity in the tumor oxygenation microenvironment, may be a useful imaging biomarker to predict poor prognosis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00283940
Volume :
66
Issue :
9
Database :
Academic Search Index
Journal :
Neuroradiology
Publication Type :
Academic Journal
Accession number :
179040838
Full Text :
https://doi.org/10.1007/s00234-024-03412-0