We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
The Correlation of In Vivo MR Spectroscopy and Ex Vivo 2-Hydroxyglutarate Concentration for the Prediction of Isocitrate Dehydrogenase Mutation Status in Diffuse Glioma.
- Authors
van Dijken, Bart R. J.; Jeltema, Hanne-Rinck; Kłos, Justyna; van Laar, Peter Jan; Enting, Roelien H.; Maatman, Ronald G. H. J.; Bijsterveld, Klaas; Den Dunnen, Wilfred F. A.; Dierckx, Rudi A.; Sijens, Paul E.; van der Hoorn, Anouk
- Abstract
Isocitrate dehydrogenase (IDH) mutation status is an important biomarker in the glioma-defining subtype and corresponding prognosis. This study proposes a straightforward method for 2-hydroxyglutarate (2-HG) quantification by MR spectroscopy for IDH mutation status detection and directly compares in vivo 2-HG MR spectroscopy with ex vivo 2-HG concentration measured in resected tumor tissue. Eleven patients with suspected lower-grade glioma (ten IDH1; one IDHwt) were prospectively included. Preoperatively, 3T point-resolved spectroscopy (PRESS) was acquired; 2-HG was measured as the percentage elevation of Glx3 (the sum of 2-HG and Glx) compared to Glx4. IDH mutation status was assessed by immunochemistry or direct sequencing. The ex vivo 2-HG concentration was determined in surgically obtained tissue specimens using gas chromatography–mass spectrometry. Pearson correlation was used for assessing the correlation between in vivo MR spectroscopy and ex vivo 2-HG concentration. MR spectroscopy was positive for 2-HG in eight patients, all of whom had IDH1 tumors. A strong correlation (r = 0.80, p = 0.003) between 2-HG MR spectroscopy and the ex vivo 2-HG concentration was found. This study shows in vivo 2-HG MR spectroscopy can non-invasively determine IDH status in glioma and demonstrates a strong correlation with ex vivo 2-HG concentration in patients with lower-grade glioma.
- Subjects
ISOCITRATE dehydrogenase; GLIOMAS; GAS chromatography/Mass spectrometry (GC-MS); SPECTROMETRY; PEARSON correlation (Statistics)
- Publication
Diagnostics (2075-4418), 2023, Vol 13, Issue 17, p2791
- ISSN
2075-4418
- Publication type
Academic Journal
- DOI
10.3390/diagnostics13172791