Journal of Personalized Medicine (Dec 2022)

Multiparametric Magnetic Resonance Imaging Correlates of Isocitrate Dehydrogenase Mutation in WHO high-Grade Astrocytomas

  • Arpita Sahu,
  • Nandakumar G. Patnam,
  • Jayant Sastri Goda,
  • Sridhar Epari,
  • Ayushi Sahay,
  • Ronny Mathew,
  • Amit Kumar Choudhari,
  • Subhash M. Desai,
  • Archya Dasgupta,
  • Abhishek Chatterjee,
  • Pallavi Pratishad,
  • Prakash Shetty,
  • Ali Asgar Moiyadi,
  • Tejpal Gupta

DOI
https://doi.org/10.3390/jpm13010072
Journal volume & issue
Vol. 13, no. 1
p. 72

Abstract

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Purpose and background: Isocitrate dehydrogenase (IDH) mutation and O-6 methyl guanine methyl transferase (MGMT) methylation are surrogate biomarkers of improved survival in gliomas. This study aims at studying the ability of semantic magnetic resonance imaging (MRI) features to predict the IDH mutation status confirmed by the gold standard molecular tests. Methods: The MRI of 148 patients were reviewed for various imaging parameters based on the Visually AcceSAble Rembrandt Images (VASARI) study. Their IDH status was determined using immunohistochemistry (IHC). Fisher’s exact or chi-square tests for univariate and logistic regression for multivariate analysis were used. Results: Parameters such as mild and patchy enhancement, minimal edema, necrosis p-value p-value p-value = 0.001}. On multivariate analysis, a cut-off of 25% necrosis was able to differentiate IDH-mutant from IDH-wildtype (p-value p-value < 0.007). Conclusion: Semantic imaging features could reliably predict the IDH mutation status in high-grade gliomas. Presurgical prediction of IDH mutation status could help the treating oncologist to tailor the adjuvant therapy or use novel IDH inhibitors.

Keywords