Akademik Veri Yönetim Sistemi
Türk Manyetik Rezonans Derneği 26. Yıllık Bilimsel Toplantısı, Ankara, Türkiye, 26 - 28 Mayıs 2022, (Özet Bildiri)
Objectives: This study aimed to assess baseline variability in first-order texture features derived from apparent diffusion coefficient (ADC) maps from diffusion-weighted imaging (DWI) and to identify treatment responses in patients with sellar-parasellar tumors undergoing gamma knife radiosurgery (GKRS).
Methods: This retrospective study included 20 consecutive patients with sellar-parasellar tumors who underwent GKRS. DWI MRI sequences were obtained before radiosurgery, at 6 months. Texture parameters were extracted from MRI performed (DWI, and ADC sequences) using LifeX Software, dedicated software for extracting texture parameters from radiological imaging (Figure 1). Quantitative ADC first-order texture features were analyzed for baseline and following GKRS.
Results: The study included 7 male (65.0%) and 13 female (35.0%) patients with an average age of 52.90 ± 14.46 years (range, 30–74 years).
Texture Features: The mean and standard deviation of the first-order texture parameters in patients with sellar and parasellar tumors before and after GKRS are summarized in Table 1.
Except for the Skewness, Kurtosis, and Range, all first-order texture features were significantly different in patients with sellar and parasellar tumors before and after GKRS (p<0.05).
Multivariate Logistic Regression Analysis of Texture Parameters: Table 2 shows the results of the multivariate logistic regression analyses on texture parameters.
Among the texture parameters extracted from first-order features, Mean, Median, 10th percentile, 75th percentile, and Standard deviation were independent predictors for evaluating treatment response in patients with sellar and parasellar tumors after GKRS.
ROC Analysis results: Table 3 shows the ROC analysis results for univariate and multivariate texture features for evaluating treatment response in patients with sellar and parasellar tumors after GKRS. The first-order regression model showed excellent diagnostic performance in the evaluation treatment response in patients with sellar and parasellar tumors after GKRS and the AUC, sensitivity, and specificity were 0.870, 0.880, and 0.790, respectively (Figure 2).po
Conclusion: Our study suggests that first-order texture features that derive from ADC maps hold great potential to evaluate response to gamma knife radiosurgery treatment in sellar-parasellar tumors.tential to evaluate re,
sponse
to gamma knife radiosurgery treatment in sellar-parasellar tumors. Anahtar kelimeler: texture analysis, DWI-MRI, treatment assessment, sellarparasellar tumors, gamma knifeObjectives: This stuto gamma knife radiosurgery treatment in sellar-parasellar tumors.