Can apparent diffusion coefficient predict the grade, genotype, or proliferation index of oligodendrogliomas

Abstract

Background: Genetic subsets of oligodendrogliomas (OD) have distinct chromosomal and biophysical profiles. Pretherapeutic tumor grade and genotype analysis is a challenging aspect of management, with 1p/19q codeletion status and grade of oligodendroglioma among the most important considerations for clinical decision making. Methodology: Seventy-three patients with histopathological diagnosis of oligodendroglioma were selected, and their preoperative 1.5T magnetic resonance imaging (MRI) scans were reviewed through parameters including diffusion weighted image, susceptibility-weighted imaging, and apparent diffusion coefficient (ADC). These images were correlated with patients' histopathological and chromosomal testing. Tumor border irregularity, homogeneity, contrast enhancement, and other MRI characteristics were also studied. For analysis, descriptive statistics were generated, and normality was evaluated for ADC value, age, and Ki-67 tumor proliferation index. Objectives: The study aimed to determine the correlation of ADC with Ki-67, grade, and 1p/19q co-deletion in oligodendroglioma at a tertiary care hospital within a low-middle income country. Results: Ki-67 tumor proliferation index was high in 33 tumors. It was found to be statistically significant (P = 0.048) with respect to ADC, showing that 1p/19q co-deleted tumors have a difference in their Ki-67 index. Ki-67 also showed a significant relationship (P < 0.05) with grade of OD. However, there was no statistically significant relationship between 1p19q chromosomal co-deletion and ADC. Linear regression was carried out as the data set was continuous. Univariate analysis showed no significant result with all P values above 0.10. Conclusion: Mean ADC is a viable tool to predict Ki-67 and assist prognostic clinical decisions. However, mean ADC alone cannot predict 1p/19q codeletion and tumor grades in OD. Further supplementation with other radiological modalities may provide greater yield and positive results.

Accuracy of MRI in Detecting 1p/19q Co-deletion Status of Gliomas: A Single-Center Retrospective Study

“…To further contextualize the findings, this study emphasizes the importance of considering existing literature. Previous studies have demonstrated a correlation between irregular tumor contours and specific genetic signatures in a cohort of glioblastomas, aligning with the current observations and suggesting potential generalizability across different glioma subtypes [ 22 - 24 ]. Additionally, a study that investigated the association between radiological features and molecular subtypes of gliomas provided further evidence of the relevance of tumor morphology in predicting genetic alterations.…”

“…Studies have explored the synergistic role of radiogenomics, emphasizing the need for a holistic understanding of tumor biology [ 25 , 26 ]. Our findings contribute to this growing body of evidence, reinforcing the notion that radiological features, specifically tumor contours, can serve as valuable indicators of genetic alterations in gliomas [ 22 - 24 ]. Moreover, the link between tumor morphology and genetic characteristics has implications for prognosis and treatment response, demonstrating that certain genetic alterations, including 1p/19q co-deletion, are associated with an improved response to specific therapies in glioma patients.…”

“…Moreover, the link between tumor morphology and genetic characteristics has implications for prognosis and treatment response, demonstrating that certain genetic alterations, including 1p/19q co-deletion, are associated with an improved response to specific therapies in glioma patients. By identifying these genetic signatures through noninvasive radiological assessments, clinicians can tailor treatment strategies, potentially leading to enhanced therapeutic outcomes and improved patient survival rates [23][24][25].…”

“…Tumor evolution and clonal selection over time can influence both radiological features and genetic alterations. Longitudinal studies incorporating sequential radiological and genetic assessments would provide valuable insights into the temporal dynamics of these associations [21][22][23][24][25].…”