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A diagnostic tree for differentiation of adult pilocytic astrocytomas from high-grade gliomas

Authors
 Yae Won Park  ;  Dain Kim  ;  Jihwan Eom  ;  Sung Soo Ahn  ;  Ju Hyung Moon  ;  Eui Hyun Kim  ;  Seok-Gu Kang  ;  Jong Hee Chang  ;  Se Hoon Kim  ;  Seung-Koo Lee 
Citation
 EUROPEAN JOURNAL OF RADIOLOGY, Vol.143 : 109946, 2021-10 
Journal Title
EUROPEAN JOURNAL OF RADIOLOGY
ISSN
 0720-048X 
Issue Date
2021-10
MeSH
Adult ; Algorithms ; Astrocytoma* / diagnostic imaging ; Brain Neoplasms* / diagnostic imaging ; Diagnosis, Differential ; Glioma* / diagnostic imaging ; Humans ; Magnetic Resonance Imaging
Keywords
Decision tree ; Glioma ; Magnetic resonance imaging ; Pilocytic astrocytoma
Abstract
Background: To develop a diagnostic tree analysis (DTA) model based on demographical information and conventional MRI for differential diagnosis of adult pilocytic astrocytomas (PAs) and high-grade gliomas (HGGs; World Health Organization grade III-IV). Methods: A total of 357 adult patients with pathologically confirmed PA (n = 65) and HGGs (n = 292) who underwent conventional MRI were included. The patients were randomly divided into training (n = 250) and validation (n = 107) datasets to assess the diagnostic performance of the DTA model. The DTA model was created using a classification and regression tree algorithm on the basis of demographical and MRI findings. Results: In the DTA model, tumor location (on cerebellum, brainstem, hypothalamus, optic nerve, or ventricle), cystic mass with mural nodule appearance, presence of infiltrative growth, and major axis (cutoff value, 2.9 cm) were significant predictors for differential diagnosis of adult PAs and HGGs. The AUC, accuracy, sensitivity, and specificity were 0.94 (95% confidence interval 0.86-1.00), 96.2%, 89.5%, and 97.7%, respectively, in the test set. The accuracy of the DTA model was significantly higher than the no-information rate in the test (96.2 % vs 85.0%, P < 0.001) set. Conclusion: The DTA model based on MRI findings may be useful for differential diagnosis of adult PA and HGGs.
Full Text
https://www.sciencedirect.com/science/article/pii/S0720048X21004277
DOI
10.1016/j.ejrad.2021.109946
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
Kim, Eui Hyun(김의현) ORCID logo https://orcid.org/0000-0002-2523-7122
Moon, Ju Hyung(문주형)
Park, Yae Won(박예원) ORCID logo https://orcid.org/0000-0001-8907-5401
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/22282913/185469
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