Three-dimensional fractal dimension and lacunarity features may noninvasively predict TERT promoter mutation status in grade 2 meningiomas

• Published in: PloS one Vol. 17; no. 10; p. e0276342
• Main Authors: Won, So Yeon, Lee, Jun Ho, Lee, Narae, Park, Yae Won, Ahn, Sung Soo, Kim, Jinna, Chang, Jong Hee, Kim, Se Hoon, Lee, Seung-Koo
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 20.10.2022; Public Library of Science (PLoS)
• Subjects: Aging; Algorithms; Analysis; Biological markers; Biology and Life Sciences; Biomarkers; Brain cancer; Care and treatment; Cells; Classification; Confidence intervals; Cyclin-dependent kinases; Decision analysis; Decision making; Diagnosis; Fractal analysis; Fractal geometry; Fractal models; Fractals; Gene mutations; Genetic aspects; Health aspects; Humans; Kidney cancer; Magnetic resonance imaging; Medical prognosis; Medicine and Health Sciences; Meningeal Neoplasms - diagnostic imaging; Meningeal Neoplasms - genetics; Meningioma; Meningioma - diagnostic imaging; Meningioma - genetics; Mutants; Mutation; Patients; Physical Sciences; Prediction models; Regression analysis; Research and Analysis Methods; RNA-directed DNA polymerase; Statistical analysis; Telomerase; Telomerase - genetics; Telomerase reverse transcriptase; Three dimensional analysis; Thyroid cancer; Variables; South Korea

The 2021 World Health Organization classification includes telomerase reverse transcriptase promoter (TERTp) mutation status as a factor for differentiating meningioma grades. Therefore, preoperative prediction of TERTp mutation may assist in clinical decision making. However, no previous study has...