0 191

Cited 0 times in

Clinical and diffusion parameters may noninvasively predict TERT promoter mutation status in grade II meningiomas

Authors
 Ilah Shin  ;  Yae Won Park  ;  Sung Soo Ahn  ;  Seok-Gu Kang  ;  Jong Hee Chang  ;  Se Hoon Kim  ;  Seung-Koo Lee 
Citation
 JOURNAL OF NEURORADIOLOGY, Vol.49(1) : 59-65, 2022-01 
Journal Title
JOURNAL OF NEURORADIOLOGY
ISSN
 0150-9861 
Issue Date
2022-01
MeSH
Aged ; Child ; Diffusion Magnetic Resonance Imaging ; Humans ; Meningeal Neoplasms* / diagnostic imaging ; Meningeal Neoplasms* / genetics ; Meningioma* / diagnostic imaging ; Meningioma* / genetics ; Mutation ; Retrospective Studies ; Telomerase* / genetics
Keywords
Diffusion weighted imaging ; Magnetic resonance imaging ; Meningioma ; Radiogenomics ; Telomerase reverse transcriptase promoter gene
Abstract
Background and purpose: Increasing evidence suggests that genomic and molecular markers need to be integrated in grading of meningioma. Telomerase reverse transcriptase promoter (TERTp) mutation is receiving attention due to its clinical relevance in the treatment of meningiomas. The predictive ability of conventional and diffusion MRI parameters for determining the TERTp mutation status in grade II meningiomas has yet been identified.

Material and methods: In this study, 63 patients with surgically confirmed grade II meningiomas (56 TERTp wildtype, 7 TERTp mutant) were included. Conventional imaging features were qualitatively assessed. The maximum diameter, volume of the tumors and histogram parameters from the apparent diffusion coefficient (ADC) were assessed. Independent clinical and imaging risk factors for TERTp mutation were investigated using multivariable logistic regression. The discriminative value of the prediction models with and without imaging features was evaluated.

Results: In the univariable regression, older age (odds ratio [OR] = 1.13, P = 0.005), larger maximum diameter (OR = 1.09, P = 0.023), larger volume (OR = 1.04, P = 0.014), lower mean ADC (OR = 0.02, P = 0.025), and lower ADC 10th percentile (OR = 0.01, P = 0.014) were predictors of TERTp mutation. In multivariable regression, age (OR = 1.13, P = 0.009) and ADC 10th percentile (OR = 0.01, P = 0.038) were independent predictors of variables for predicting the TERTp mutation status. The performance of the prediction model increased upon inclusion of imaging parameters (area under the curves of 0.86 and 0.91, respectively, without and with imaging parameters).

Conclusion: Older age and lower ADC 10th percentile may be useful parameters to predict TERTp mutation in grade II meningiomas.
Full Text
https://www.sciencedirect.com/science/article/pii/S0150986121000560?via%3Dihub
DOI
10.1016/j.neurad.2021.02.007
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kang, Seok Gu(강석구) ORCID logo https://orcid.org/0000-0001-5676-2037
Kim, Se Hoon(김세훈) ORCID logo https://orcid.org/0000-0001-7516-7372
Park, Yae Won(박예원) ORCID logo https://orcid.org/0000-0001-8907-5401
Shin, Ilah(신일아)
Ahn, Sung Soo(안성수) ORCID logo https://orcid.org/0000-0002-0503-5558
Lee, Seung Koo(이승구) ORCID logo https://orcid.org/0000-0001-5646-4072
Chang, Jong Hee(장종희) ORCID logo https://orcid.org/0000-0003-1509-9800
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/188820
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links