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Can I read Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade on EtoBox?
Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade by Soopil Kim; Yae Won Park; Sang Hyun Park; Sung Soo Ahn; Jong Hee Chang; Se Hoon Kim; Seung-Koo Lee is a Medicine article available to read on EtoBox.
What is Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade about?
## Background To compare the diagnostic performance of two-dimensional (2D) and three-dimensional (3D) fractal dimension (FD) and lacunarity features from MRI for predicting the meningioma grade. ## Methods This retrospective study included 123 meningioma patients [90 World Health Organization (WHO) grade I, 33 WHO grade II/III] with preoperative MRI including post-contrast T1-weighted imaging. The 2D and 3D FD and lacunarity parameters from the contrast-enhancing portion of the tumor were calculated. Reproducibility was assessed with the intraclass correlation coefficient. Multivariable logistic regression analysis using 2D or 3D fractal features was performed to predict the meningioma grade. The diagnostic ability of the 2D and 3D fractal models were compared. ## Results The reproducibility between observers was excellent, with intraclass correlation coefficients of 0.97, 0.95, 0.98, and 0.96 for 2D FD, 2D lacunarity, 3D FD, and 3D lacunarity, respectively. WHO grade II/III meningiomas had a higher 2D and 3D FD (__p__=0.003 and __p__<0.001, respectively) and higher 2D and 3D lacunarity (__p__=0.002 and __p__=0.006, respectively) than WHO grade I meningiomas. The 2D fractal model
Who reads Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Soopil Kim; Yae Won Park; Sang Hyun Park; Sung Soo Ahn; Jong Hee Chang; Se Hoon Kim; Seung-Koo Lee
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)