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The Utility of Spectroscopic MRI in Stereotactic Biopsy and Radiotherapy Guidance in Newly Diagnosed Glioblastoma

Authors :
Abinand C. Rejimon
Karthik K. Ramesh
Anuradha G. Trivedi
Vicki Huang
Eduard Schreibmann
Brent D. Weinberg
Lawrence R. Kleinberg
Hui-Kuo G. Shu
Hyunsuk Shim
Jeffrey J. Olson
Source :
Tomography, Vol 10, Iss 3, Pp 428-443 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Current diagnostic and therapeutic approaches for gliomas have limitations hindering survival outcomes. We propose spectroscopic magnetic resonance imaging as an adjunct to standard MRI to bridge these gaps. Spectroscopic MRI is a volumetric MRI technique capable of identifying tumor infiltration based on its elevated choline (Cho) and decreased N-acetylaspartate (NAA). We present the clinical translatability of spectroscopic imaging with a Cho/NAA ≥ 5x threshold for delineating a biopsy target in a patient diagnosed with non-enhancing glioma. Then, we describe the relationship between the undertreated tumor detected with metabolite imaging and overall survival (OS) from a pilot study of newly diagnosed GBM patients treated with belinostat and chemoradiation. Each cohort (control and belinostat) were split into subgroups using the median difference between pre-radiotherapy Cho/NAA ≥ 2x and the treated T1-weighted contrast-enhanced (T1w-CE) volume. We used the Kaplan–Meier estimator to calculate median OS for each subgroup. The median OS was 14.4 months when the difference between Cho/NAA ≥ 2x and T1w-CE volumes was higher than the median compared with 34.3 months when this difference was lower than the median. The T1w-CE volumes were similar in both subgroups. We find that patients who had lower volumes of undertreated tumors detected via spectroscopy had better survival outcomes.

Details

Language :
English
ISSN :
2379139X and 23791381
Volume :
10
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Tomography
Publication Type :
Academic Journal
Accession number :
edsdoj.96083e5061b6430facb2085954d78839
Document Type :
article
Full Text :
https://doi.org/10.3390/tomography10030033