Article
Systematic approach for apparent diffusion coefficient assessment in vestibular schwannomas: methodology and morphological correlations
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Published: | June 9, 2017 |
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Outline
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Objective: Quantitative parameters of diffusion imaging such as apparent diffusion coefficient (ADC) can be helpful in the diagnosis and differentiation of brain tumors. However, different studies using ADC technique have used various and not structured methods for the choice of region of interest (ROI) within the lesion. To evaluate the methodology of ADC estimation in intracranial tumors using different ROI placement patterns.
Methods: Twenty consecutive patients affected by vestibular schwannoma were studied using diffusion imaging. Apparent diffusion coefficient values were obtained using different ROI placement methods: segmentation of the whole tumor volume as ROI (vADC), random choice of 10 different ROIs (pADC) and a single ROI in the internal auditory canal portion (iADC). We calculated and statistically compared ADC values with different ROI placement patterns.
Results: There was no significant difference between mean vADC and mean pADC. There was difference between iADC and vADC resulted significant (p<0.01). The statistical analysis showed a significant difference of the vADC between cystic and microcystic schwannomas (p=0.009) and between cystic and solid (p=0.006).
Conclusion: The standardization of ADC calculation, especially regarding the choice of different region of interests, is a crucial point in order to obtain comparable data. We could verify the applicability and reliability of both volume- and seed-based approaches with the necessity, in this second method, to use a multiple randomized seeds to overcome the variability of tumor internal structure.