The diagnostic value of diffusion weighted imaging in patients with meningioma

Khedr, Sherif; Hassaan, Mohamed A.; Refaat, Amal

doi:10.1016/j.ejrnm.2012.01.003

Cited by 7 publications

(11 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The benign meningioma showed variable appearance like hypointense, isointense and slightly hyperintense on DWI and ADC maps with ADC values of more than 0.85×10 -3 mm 2 /sec while malignant/atypical meningiomas returned hyperintense signals on DWI and hypointense in ADC maps, with ADC values less than 0.85×10 -3 mm 2 /sec. Similar signals were demonstrated by Khedr SA et al2 and Liu Y et al19 in their studies. Liu Y et al19 also found that hyperintensity of lesion on DWI as the strongest independent predictor of high grade meningioma.…”

Section: Discussionsupporting

confidence: 89%

“…Meningiomas are the most common primary extra-axial non-glial intracranial tumors, comprise approximately 14–20% of all intracranial tumors 1,2. Meningiomas commonly occur on the brain surface and rarely in the brain ventricles.…”

Section: Introductionmentioning

confidence: 99%

“…They may invade the adjacent bone and brain parenchyma so prone to recur in 29% - 41% of patients 6. So it is important to distinguish them correctly for treatment planning, deciding the aggressiveness of surgical resection and the need of combined radiation therapy 2,7. Though some radiological features on conventional neuroimaging like intratumoral cystic change, hyperostosis of the adjacent skull, bony destruction, extracranial tumor extension through the skull base, arterial encasement, and peritumoral brain edema have been found to distinguish these two entities; no single feature has been found to be highly reliable 8…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Sohu¹,

Sohail²,

Shaikh³

2019

Pak J Med Sci

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Sohu¹,

Sohail²,

Shaikh³

2019

Pak J Med Sci

View full text Add to dashboard Cite

show abstract

“…Son altamente vascularizados y realzan con intensidad con el medio de contraste. En las secuencias de difusión pueden mostrar una reducción de la velocidad de difusión por la alta densidad celular (9,(30)(31)(32).…”

Section: Hallazgos En Imágenesunclassified

Diagnóstico diferencial de las lesiones del IV ventrículo

Casares

Araújo

Durán

2020

Rev. colomb. radiol.

View full text Add to dashboard Cite

show abstract

“…1 Another study stated that typical meningiomas have higher ADC values than atypical ones, and DWI can help distinguish typical and atypical meningiomas. 9 We hypothesized that ADC values could help differentiate typical and atypical meningiomas based on histopathological findings. Therefore, we retrospectively tested the ADC values on the DWI-ADC sequence map with histopathological findings.…”

Section: Introductionmentioning

confidence: 99%

The role of apparent diffusion coefficient in differentiating typical from atypical meningioma

et al. 2022

View full text Add to dashboard Cite

Background: Differentiation of typical from atypical meningiomas would greatly improve surgical planning and further treatment options. Appparent diffusion coefficient (ADC) has the potential to characterize meningioma subtypes. This study aimed to assess the value of ADC in differentiating typical and atypical meningiomas. Method: A retrospective study was conducted using medical records at RSUD Dr. Soetomo Surabaya in January 2019 – September 2021. ADC values were obtained by placing three ROIs on tumors. We used receiver operating curve (ROC) analysis to determine the optimal cut-off ADC value to differentiate meningioma grading and Mann-Whitney U test to evaluate the difference in ADC values between the two groups. In addition, Chi-square was used to assess the correlation between ADC values and the type of meningioma. Results: The ADC values in typical meningiomas ranged from 1.12 - 2.47 × 10-3 mm2/s with an average of 1.45 ± 0.38 × 10-3 mm2/s, while in atypical meningiomas ranged from 0.64 – 1.12 × 10-3 mm2/s with an average of 0.81 ± 0.20 × 10-3 mm2/s. Based on ROC analysis to distinguish typical and atypical meningiomas, the cut-off mean ADC value is 1.12 × 10-3 mm2/s with a sensitivity of 100%, specificity of 96.87%, and area under the curve (AUC) of 0.996. The cut-off difference in the ADC value and the relationship between the ADC value and meningioma type based on histopathology were significant. Conclusion: Typical meningiomas have higher ADC values than atypical cases. ADC value can help differentiate typical from atypical meningiomas.

show abstract

The diagnostic value of diffusion weighted imaging in patients with meningioma

Cited by 7 publications

References 13 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

Diagnóstico diferencial de las lesiones del IV ventrículo

The role of apparent diffusion coefficient in differentiating typical from atypical meningioma

Contact Info

Product

Resources

About