Prediction of Glioma Grade by Radiological Analysis of its Metabolites.
Hanora, M., Abo Shanab, W., Khashaba, M., Nada, A., Zarad, C. (2025). Prediction of Glioma Grade by Radiological Analysis of its Metabolites.. EKB Journal Management System, 22(22), 68-78. doi: 10.21608/muj.2025.357125.1203
Mohamed Ahmed Hanora; Waleed Said Abo Shanab; Marwa Hosny Khashaba; Ahmed Nada; Carmen Ali Zarad. "Prediction of Glioma Grade by Radiological Analysis of its Metabolites.". EKB Journal Management System, 22, 22, 2025, 68-78. doi: 10.21608/muj.2025.357125.1203
Hanora, M., Abo Shanab, W., Khashaba, M., Nada, A., Zarad, C. (2025). 'Prediction of Glioma Grade by Radiological Analysis of its Metabolites.', EKB Journal Management System, 22(22), pp. 68-78. doi: 10.21608/muj.2025.357125.1203
Hanora, M., Abo Shanab, W., Khashaba, M., Nada, A., Zarad, C. Prediction of Glioma Grade by Radiological Analysis of its Metabolites.. EKB Journal Management System, 2025; 22(22): 68-78. doi: 10.21608/muj.2025.357125.1203

Prediction of Glioma Grade by Radiological Analysis of its Metabolites.

Medicine Updates
Volume 22, Issue 22, July 2025, Page 68-78  XML PDF (1.08 MB)
Document Type: Original Article
DOI: 10.21608/muj.2025.357125.1203
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Authors
Mohamed Ahmed Hanora email 1; Waleed Said Abo Shanab2; Marwa Hosny Khashaba3; Ahmed Nada4; Carmen Ali Zarad2
1Lecturer of radiology, Diagnostic and Interventional Radiology department, Faculty of Medicine, Port Said University, Port Said, Egypt.
2Assistant professor of radiology, Diagnostic and Interventional Radiology department, Faculty of Medicine, Port Said University, Port Said, Egypt.
3Lecturer of pathology, histopathology department, Faculty of Medicine, Port Said University, Port Said, Egypt.
4Lecturer of neurosurgery, neurosurgery department, Faculty of Medicine, Port Said University, Port Said, Egypt.
Abstract
BACKGROUND: This study targeted to evaluate the ability of magnetic resonance spectroscopy (MRS) as a noninvasive predictive tool for histo-pathological grade of cerebral gliomas.
Results: Our study showed that 42/45 of the high grade glioma group (HGGG) had acquired markedly elevated Choline (Cho)/ Creatine (Cr) levels and 40/45 of them had acquired markedly elevated Choline (Cho)/ N acetyl aspartate (NAA) levels. On The other hand and across low grade gliom group (LGGG); 13/15 lesions had acquired mildly elevated Cho/Cr levels and 14/15 lesions had acquired mildly elevated Cho/NAA levels with proved positive significant statistical correlation between Cho/Cr and Cho/NAA within the two groups and the detected histopathological data. Markedly elevated Cho/Cr and Cho/NAA levels were significantly correlated with HGGG; namely (grades III and IV). Mildly elevated Cho/Cr and Cho/NAA levels were correlated with LGGG; namely (grades I and II) (p ≤ 0.05).
Conclusion: MRS can be used a predictor of glioma grade. The estimated MRS cut off values to prognosticate high grade glioma is ≥ 4.2 for Cho/Cr and ≥ 4.5 for Cho/NAA based on Receiver operating characteristic (ROC) analysis.
Key words: MRS - High grade cerebral gliomas - Low grade cerebral gliomas.
Keywords
Key words: MRS; High grade cerebral gliomas; Low grade cerebral gliomas
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