Evidence map›Paper›PMID 32390352›Full record

ArticleBrain tumor research and treatment2020

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

Soopil Kim, Yae Won Park, Sang Hyun Park, Sung Soo Ahn, Jong Hee Chang, Se Hoon Kim, Seung Koo Lee

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Article in Brain tumor research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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7 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Soopil KimDepartment of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea.ORCID https://orcid.org/0000-0001-8937-6263
Yae Won ParkDepartment of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea. yaewonpark@yuhs.ac.ORCID https://orcid.org/0000-0001-8907-5401
Sang Hyun ParkDepartment of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea.
Sung Soo AhnDepartment of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.
Jong Hee ChangDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
Se Hoon KimDepartment of Pathology, Yonsei University College of Medicine, Seoul, Korea.
Seung Koo LeeDepartment of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.

Funding

Korean Society for Neuro OncologyNational Research Foundation of Korea 2017R1D1A1B03030440National Research Foundation of Korea NRF-2018K2A9A2A06020642
6 · The paper itself

Abstract

backgroundTo 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.

methodsThis 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.

resultsThe 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 (

conclusionThe 3D fractal analysis proved superiority in diagnostic performance to 2D fractal analysis in grading meningioma.

Indexed as

FractalsMagnetic resonance imagingMeningioma

Identifiers

PMID32390352
PMCPMC7221468

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