ADC is not reliable in determinating subtypes of meningiomas

Ignjatović, Jelena; Stojanov, Dragan; Stojanović, Nebojša; Stefanovic, Ivan; Benedeto-Stojanov, Daniela; Petrović, Sladjana; Kostić, Aleksandar; Aracki-Trenkić, Aleksandra; Ignjatović, Nebojša

doi:10.2478/s11536-013-0315-x

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…In this study, the mean age of patients was 55.38±9.8 years which is comparable to Kane AJ et al16 and Ignjatovic J et al17 that showed mean age of patients was 54 years and 53 years. In the current study, meningiomas particularly benign were found more frequent in females but malignant meningioma were more commonly observed in male, which is corroborating the reports from Samadi N et al18 and Kane AJ et al16…”

Section: Discussionsupporting

confidence: 85%

Diagnostic accuracy of diffusion weighted MRI in differentiating benign and malignant meningiomas

Sohu¹,

Sohail²,

Shaikh³

2019

Pak J Med Sci

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Objective: To determine the diagnostic accuracy of DWI in differentiating benign and malignant meningiomas keeping histopathology as gold standard. Methods: This was a descriptive analytical study conducted at Radiology Department, DUHS/Dr. Ruth K. M. Pfau Civil Hospital Karachi, from August 2016 to March 2018. It included152 patients clinically suspected of meningioma on conventional neuroimaging. Imaging features of DWI were compared with histopathology findings. The diagnostic accuracy of DWI was calculated in terms of sensitivity, specificity, accuracy, PPV and NPV using histopathology as gold standard. Results: There were 59 male and 93 female patients with mean age of 55.38±9.8 years. Mean duration of sign and symptoms was 5.67±2.57 months. Out of 152 patients, 117(77%) and 35(23%) were differentiated into benign and malignant meningiomas respectively by DWI while 135(88.82%) and17(11.18%) patients were diagnosed respectively on histopathology. The sensitivity, specificity, PPV, NPV and accuracy of DWI of 84.4%, 82.3%, 97.4%, 40%, and 84.2% respectively keeping histopathology as gold standard. Conclusion: DWI features along with calculation of ADC values is a reliable non-invasive technique for differentiating benign and malignant meningiomas. However the low negative predictive value necessitates the use of histopathology. doi: https://doi.org/10.12669/pjms.35.3.1011 How to cite this:Sohu DM, Sohail S, Shaikh R. Diagnostic accuracy of diffusion weighted mri in differentiating benign and malignant meningiomas. Pak J Med Sci. 2019;35(3):---------. doi: https://doi.org/10.12669/pjms.35.3.1011 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Section: Discussionsupporting

confidence: 85%

Diagnostic accuracy of diffusion weighted MRI in differentiating benign and malignant meningiomas

Sohu¹,

Sohail²,

Shaikh³

2019

Pak J Med Sci

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“…Therefore, DW MR imaging do not add to grade or subtype meningiomas. Ignjatovic et al (2014) found that ADC values were not significantly different between meningothelial, fibroblastic, and cystic meningiomas. The current study could not subtype meningiomas on the basis of ADC values.…”

Section: Discussionmentioning

confidence: 73%

rCBV- and ADC-based Grading of Meningiomas With Glimpse Into Emerging Molecular Diagnostics

Rohilla

Garg

Singh

et al. 2018

Basic Clin. Neurosci. J.

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Introduction:This study was conducted to grade meningiomas based on relative Cerebral Blood Volume (rCBV) and Apparent Diffusion Coefficient (ADC) to help surgeons plan the approach and extent of operation as well as decide on the need of any adjuvant radio/chemo therapy. The current and evolving genomic, proteomic, and spectroscopic technologies are also discussed which can supplement the current radiologic methods and procedures in grading meningiomas.Methods:A total of 35 patients with meningioma prospectively underwent basic MR sequences (T1W, T2W, T2W/FLAIR) in axial, sagittal and coronal planes followed by Diffusion Weighted (DW) imaging having b value of 1000 (minimum ADC values used for analysis). Then, gadobenate dimeglumine/meglumine gadoterate was administered (0.1 mmol/kg at a rate of 4 mL/s) followed by saline flush (20 mL at a rate of 4 mL/s). Next, T2*W/FFE dynamic images were acquired; dynamics showing maximum fall in intensity was used for creating rCBV and relative Cerebral Blood Flow (rCBF) maps and calculating rCBV.Results:Both maximum rCBV and minimum ADC within the tumor were not significant for differentiating benign from malignant meningiomas. A cut-off maximum rCBV of 2.5 mL/100 g in peritumoral edema was 75% sensitive, 84.6% specific, and 83.3% accurate in differentiating benign from malignant meningiomas.Conclusion:Benign and malignant meningiomas can be differentiated based on maximum rCBV in peritumoral edema but ADC values within the tumor are insignificant in differentiating benign and malignant tumors. rCBV values within tumor, however, may be helpful in subtyping meningiomas, especially transitional and meningothelial meningiomas.

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ADC is not reliable in determinating subtypes of meningiomas

Abstract: Abstract

Cited by 2 publications

References 12 publications

Diagnostic accuracy of diffusion weighted MRI in differentiating benign and malignant meningiomas

Diagnostic accuracy of diffusion weighted MRI in differentiating benign and malignant meningiomas

rCBV- and ADC-based Grading of Meningiomas With Glimpse Into Emerging Molecular Diagnostics

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