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Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI
Objective Preoperative diagnosis of tumor grade can assist in treatment-related decision-making for patients with intracranial meningioma. This study aimed to distinguish between high-grade and low-grade meningiomas using conventional CT and MRI. Methodology We retrospectively analyzed 173 consecuti...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872636/ https://www.ncbi.nlm.nih.gov/pubmed/35228967 http://dx.doi.org/10.7759/cureus.21610 |
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author | Amano, Toshiyuki Nakamizo, Akira Murata, Hideki Miyamatsu, Yuichiro Mugita, Fumihito Yamashita, Koji Noguchi, Tomoyuki Nagata, Shinji |
author_facet | Amano, Toshiyuki Nakamizo, Akira Murata, Hideki Miyamatsu, Yuichiro Mugita, Fumihito Yamashita, Koji Noguchi, Tomoyuki Nagata, Shinji |
author_sort | Amano, Toshiyuki |
collection | PubMed |
description | Objective Preoperative diagnosis of tumor grade can assist in treatment-related decision-making for patients with intracranial meningioma. This study aimed to distinguish between high-grade and low-grade meningiomas using conventional CT and MRI. Methodology We retrospectively analyzed 173 consecutive patients with intracranial meningioma (149 low-grade and 24 high-grade tumors) who were treated surgically at the National Hospital Organization Kyushu Medical Center from 2008 to 2020. Clinical and radiological features, including tumor doubling time (Td) and relative growth rate (RGR), were compared between low-grade and high-grade meningiomas. Results Multivariate logistic regression analysis showed that symptomatic tumor (p=0.001), non-skull base location (p=0.006), irregular tumor shape (p=0.043), tumor heterogeneity (p=0.025), and peritumoral brain edema (p=0.003) were independent predictors of high-grade meningioma. In 53 patients who underwent surgery because of tumor progression, progression to symptoms (p=0.027), intratumoral heterogeneity (p<0.001), peritumoral brain edema (p=0.001), larger tumor volume (p=0.005), shorter Td (p<0.001), and higher RGR (P<0.001) were significantly associated with high-grade meningioma. Receiver operating characteristics (ROC) curve analysis showed that the optimal Td and annual RGR cut-off values to distinguish high-grade from low-grade meningioma were 460.5 days and 73.2%, respectively (100% sensitivity and 78.6% specificity). Conclusion Based on our findings, conventional CT and MRI are useful methods to predict meningioma grades before surgery. High-grade lesions are associated with non-skull base location, irregular tumor shape, intratumoral heterogeneity, and peritumoral brain edema. High-grade meningioma should be suspected in tumors that exhibit Td <460.5 days or annual RGR >73.2% or those that develop intratumoral heterogeneity or surrounding brain edema on surveillance imaging. |
format | Online Article Text |
id | pubmed-8872636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-88726362022-02-27 Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI Amano, Toshiyuki Nakamizo, Akira Murata, Hideki Miyamatsu, Yuichiro Mugita, Fumihito Yamashita, Koji Noguchi, Tomoyuki Nagata, Shinji Cureus Radiology Objective Preoperative diagnosis of tumor grade can assist in treatment-related decision-making for patients with intracranial meningioma. This study aimed to distinguish between high-grade and low-grade meningiomas using conventional CT and MRI. Methodology We retrospectively analyzed 173 consecutive patients with intracranial meningioma (149 low-grade and 24 high-grade tumors) who were treated surgically at the National Hospital Organization Kyushu Medical Center from 2008 to 2020. Clinical and radiological features, including tumor doubling time (Td) and relative growth rate (RGR), were compared between low-grade and high-grade meningiomas. Results Multivariate logistic regression analysis showed that symptomatic tumor (p=0.001), non-skull base location (p=0.006), irregular tumor shape (p=0.043), tumor heterogeneity (p=0.025), and peritumoral brain edema (p=0.003) were independent predictors of high-grade meningioma. In 53 patients who underwent surgery because of tumor progression, progression to symptoms (p=0.027), intratumoral heterogeneity (p<0.001), peritumoral brain edema (p=0.001), larger tumor volume (p=0.005), shorter Td (p<0.001), and higher RGR (P<0.001) were significantly associated with high-grade meningioma. Receiver operating characteristics (ROC) curve analysis showed that the optimal Td and annual RGR cut-off values to distinguish high-grade from low-grade meningioma were 460.5 days and 73.2%, respectively (100% sensitivity and 78.6% specificity). Conclusion Based on our findings, conventional CT and MRI are useful methods to predict meningioma grades before surgery. High-grade lesions are associated with non-skull base location, irregular tumor shape, intratumoral heterogeneity, and peritumoral brain edema. High-grade meningioma should be suspected in tumors that exhibit Td <460.5 days or annual RGR >73.2% or those that develop intratumoral heterogeneity or surrounding brain edema on surveillance imaging. Cureus 2022-01-25 /pmc/articles/PMC8872636/ /pubmed/35228967 http://dx.doi.org/10.7759/cureus.21610 Text en Copyright © 2022, Amano et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Radiology Amano, Toshiyuki Nakamizo, Akira Murata, Hideki Miyamatsu, Yuichiro Mugita, Fumihito Yamashita, Koji Noguchi, Tomoyuki Nagata, Shinji Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI |
title | Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI |
title_full | Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI |
title_fullStr | Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI |
title_full_unstemmed | Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI |
title_short | Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI |
title_sort | preoperative prediction of intracranial meningioma grade using conventional ct and mri |
topic | Radiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872636/ https://www.ncbi.nlm.nih.gov/pubmed/35228967 http://dx.doi.org/10.7759/cureus.21610 |
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