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.

The MRI T1-weighted image can provide information on the pre- and post-contrast images. Post-contrast images is an image obtained after the administration of GBCA In some cases, not all post-contrast images can show clear lesions so it requires additional technique in the form of Fat Suppression (FS), which works by suppressing the fat signal in an image. The T1-weighted images with and without FS have a different signal intensity. Therefore, the purpose of this study is to compare the signal intensity of the pre- and post-contrast T1-weighted images with and without the FS technique. The signal intensities are indicated with a grayscale value. There are seven T1-weighted images with FS and seven T1-weighted images without FS. Each of the image have a pre-and post-contrast. Image reading is done by a radiology specialist. Area plot was performed on abnormal tissues in each image. Each area will be measured with an ImageJ software to obtain the grayscale mean value. The measurements of the post contrast T1-weighted image showed an increase in the grayscale mean value with or without the FS technique. This showed that the administration of GBCA can increase the signal intensity on the T1-weighted images with or without the FS technique.

No abstract

No abstract

No abstract