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CC BY-NC-ND 4.0 · Indian Journal of Neurosurgery 2024; 13(03): 200-205
DOI: 10.1055/s-0042-1750357
Original Article

Preoperative Assessment and Prediction of Consistency of Intracranial Meningioma Utilizing the Apparent Diffusion Coefficient Values

Venkatesh Pothula 
1   Department of Radio-Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
,
Ajay Kumar 
1   Department of Radio-Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
,
Sameer Vyas
1   Department of Radio-Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
,
Vikas Bhatia
1   Department of Radio-Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
,
Bishan Das Radotra
2   Department of Histopathology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
,
S K. Gupta
3   Department of Neurosurgery, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
› Institutsangaben
Funding None.
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Abstract

Objectives Consistency of meningioma is important for preoperative planning, surgical resection, and predicting surgical outcomes. We prospectively evaluated the utility of the apparent diffusion coefficient (ADC) values to assess the consistency of meningioma.

Methods Preoperative magnetic resonance imaging (MRI) was performed on 23 patients with meningioma before undergoing surgical resection and the average/mean of ADC minimum (ADCmin), maximum (ADCmax), and mean (ADCmean) values were calculated. Intraoperatively, the meningiomas were characterized as firm or soft and correlated with ADC values.

Results ADCmin, ADCmax, and ADCmean values of soft and firm meningiomas were significantly different with a p-value of < 0.05. ADCmin value of < 691.3 × 10−6 mm2/s had 80% sensitivity and 84.6% specificity for identifying firm from the soft tumors with the area under the curve (AUC) = 0.862, p-value of 0.004, positive predictive value (PPV) 80, and negative predictive value (NPV) 84.6. ADCmax value of < 933.6 × 10−6 mm2/s had 70% sensitivity and 84.6% specificity for identifying firm from the soft tumors with AUC = 0.823, p-value of 0.009, PPV 77.8, and NPV 78.6. ADCmean value of < 840.8 × 10−6 mm2/s had 90% sensitivity and 76.9% specificity for identifying firm from the soft tumors with AUC = 0.900, p-value of 0.001, PPV 75, and NPV 90.9.

Conclusion Diffusion-weighted MRI using ADC minimum, ADC maximum, and ADC mean values can be used to differentiate firm from soft meningiomas. Meningiomas with hard consistency showed relatively low ADC values.

Keywords

meningioma - ADC - surgery - intracranial


Publikationsverlauf

Artikel online veröffentlicht:
27. September 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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