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Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751508/ https://www.ncbi.nlm.nih.gov/pubmed/35071073 http://dx.doi.org/10.4103/ajns.AJNS_520_20 |
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author | Ali, Laghari Altaf Usman, Khalid Muhammad Fatima, Mubarak Amna, Alvi Saeed, Ali Tazeen Qadeer, Shaikh Namra Shahzad, Shamim Muhammad Ather, Enam Syed |
author_facet | Ali, Laghari Altaf Usman, Khalid Muhammad Fatima, Mubarak Amna, Alvi Saeed, Ali Tazeen Qadeer, Shaikh Namra Shahzad, Shamim Muhammad Ather, Enam Syed |
author_sort | Ali, Laghari Altaf |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8751508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-87515082022-01-21 Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas Ali, Laghari Altaf Usman, Khalid Muhammad Fatima, Mubarak Amna, Alvi Saeed, Ali Tazeen Qadeer, Shaikh Namra Shahzad, Shamim Muhammad Ather, Enam Syed Asian J Neurosurg Original Article 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. Wolters Kluwer - Medknow 2021-12-18 /pmc/articles/PMC8751508/ /pubmed/35071073 http://dx.doi.org/10.4103/ajns.AJNS_520_20 Text en Copyright: © 2021 Asian Journal of Neurosurgery https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Ali, Laghari Altaf Usman, Khalid Muhammad Fatima, Mubarak Amna, Alvi Saeed, Ali Tazeen Qadeer, Shaikh Namra Shahzad, Shamim Muhammad Ather, Enam Syed Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas |
title | Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas |
title_full | Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas |
title_fullStr | Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas |
title_full_unstemmed | Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas |
title_short | Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas |
title_sort | can apparent diffusion coefficient predict the grade, genotype, or proliferation index of oligodendrogliomas |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751508/ https://www.ncbi.nlm.nih.gov/pubmed/35071073 http://dx.doi.org/10.4103/ajns.AJNS_520_20 |
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