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Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade

Brain Tumor Research and Treatment : BTRT 2020년 8권 1호 p.36 ~ 42
Kim Soo-Pil, 박예원, 박상현, 안성수, 장종희, 김세훈, 이승구,
소속 상세정보
 ( Kim Soo-Pil ) - Daegu Gyeongbuk Institute of Science and Technology Department of Robotics Engineering
박예원 ( Park Yae-Won ) - Yonsei University College of Medicine Department of Radiology
박상현 ( Park Sang-Hyun ) - Daegu Gyeongbuk Institute of Science and Technology Department of Robotics Engineering
안성수 ( Ahn Sung-Soo ) - Yonsei University College of Medicine Department of Radiology
장종희 ( Chang Jong-Hee ) - Yonsei University College of Medicine Department of Neurosurgery
김세훈 ( Kim Se-Hoon ) - Yonsei University College of Medicine Department of Pathology
이승구 ( Lee Seung-Koo ) - Yonsei University College of Medicine Department of Radiology

Abstract


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 showed an area under the curve (AUC), accuracy, sensitivity, and specificity of 0.690 [95% confidence interval (CI) 0.581?0.799], 72.4%, 75.8%, and 64.4%, respectively. The 3D fractal model showed an AUC, accuracy, sensitivity, and specificity of 0.813 (95% CI 0.733?0.878), 82.9%, 81.8%, and 70.0%, respectively. The 3D fractal model exhibited significantly better diagnostic performance than the 2D fractal model (p<0.001).

Conclusion: The 3D fractal analysis proved superiority in diagnostic performance to 2D fractal analysis in grading meningioma.

키워드

Fractals; Magnetic resonance imaging; Meningioma

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