Wed, Nov 13, 2024
Volume 10 - Continuous Publishing
Iran J Neurosurg 2024, 10 - Continuous Publishing: 0-0 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rohilla S, Yadav S, Singh I. Predicting the Consistency of Meningiomas Preoperatively Using Magnetic Resonance Imaging. Iran J Neurosurg 2024; 10 : 18
URL: http://irjns.org/article-1-409-en.html
URL: http://irjns.org/article-1-409-en.html
1- Department of Radiodiagnosis, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India , seemarohilla@yahoo.co.in
2- Department of Radiodiagnosis, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
3- Department of Neurosurgery, Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
2- Department of Radiodiagnosis, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
3- Department of Neurosurgery, Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
Abstract: (213 Views)
Background and Aim: Knowledge of the consistency of meningioma is very helpful for neurosurgeons during surgery. Our study aimed to objectively demonstrate the effectiveness of the tumor/cerebellar peduncle T2-weighted imaging intensity (TCTI) ratio, diffusion tensor imaging (DTI), and magnetization transfer ratio (MTR) in predicting the consistency of meningiomas.
Methods and Materials/Patients: Twenty-five patients with meningiomas were examined using three Tesla MR (Discovery 750w with GEM Suite from GE, Milwaukee, WI, USA) imaging. T1W, T2W, T2W/FLAIR, DWI, DTI, and MT sequences were performed. Regions of interest (ROIs) were drawn on the tumor and cerebellar peduncle, and the TCTI ratio was calculated. Similarly, ROIs were drawn on Magnetization Transfer Images (MT on and MT off images), and the magnetization transfer ratio (MTR) was calculated. DTI data were transferred to ReadyView software, where ROIs were placed on the tumor, and fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were calculated. Tumor consistency was correlated with the TCTI ratio, FA, MD, AD, RD, and MTR.
Results: Out of 25 meningiomas, nine were soft and 16 were firm. The Wilcoxon-Mann-Whitney U test comparing these groups was statistically significant only for the TCTI ratio. The mean TCTI ratio in firm meningiomas was 1.44, while in soft meningiomas it was 1.65. A single cutoff TCTI value of 1.5 for soft versus firm tumors was found to be 78% sensitive and 75% specific. There was no significant correlation between consistency and DTI parameters or MTR.
Conclusion: The TCTI ratio showed a significant correlation with the consistency of meningiomas with fair sensitivity and specificity. However, MTR, fractional anisotropy, and mean, axial, and radial diffusivities failed to show a significant correlation with the consistency of meningioma.
Methods and Materials/Patients: Twenty-five patients with meningiomas were examined using three Tesla MR (Discovery 750w with GEM Suite from GE, Milwaukee, WI, USA) imaging. T1W, T2W, T2W/FLAIR, DWI, DTI, and MT sequences were performed. Regions of interest (ROIs) were drawn on the tumor and cerebellar peduncle, and the TCTI ratio was calculated. Similarly, ROIs were drawn on Magnetization Transfer Images (MT on and MT off images), and the magnetization transfer ratio (MTR) was calculated. DTI data were transferred to ReadyView software, where ROIs were placed on the tumor, and fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were calculated. Tumor consistency was correlated with the TCTI ratio, FA, MD, AD, RD, and MTR.
Results: Out of 25 meningiomas, nine were soft and 16 were firm. The Wilcoxon-Mann-Whitney U test comparing these groups was statistically significant only for the TCTI ratio. The mean TCTI ratio in firm meningiomas was 1.44, while in soft meningiomas it was 1.65. A single cutoff TCTI value of 1.5 for soft versus firm tumors was found to be 78% sensitive and 75% specific. There was no significant correlation between consistency and DTI parameters or MTR.
Conclusion: The TCTI ratio showed a significant correlation with the consistency of meningiomas with fair sensitivity and specificity. However, MTR, fractional anisotropy, and mean, axial, and radial diffusivities failed to show a significant correlation with the consistency of meningioma.
Article number: 18
Keywords: Meningioma consistency, TCTI ratio, Diffusion tensor Imaging, Magnetization Transfer Ratio (MTR), Fractional Anisotropy
Type of Study: Research |
Subject:
Brain Tumors
Send email to the article author
| Rights and Permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
Copyright © The Author(s);
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Contact Information
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Contact Information
