A diagnostic tree for differentiation of adult pilocytic astrocytomas from high-grade gliomas.
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 pat...
| Publicado en: | European Journal of Radiology Vol. 143 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research randomized controlled trial Journal Article |
| Publicado: |
Elsevier B.V.
Oct2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=152605976&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152605976 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0720048X 3S7 jtl: European Journal of Radiology issn: 0720048X maglogo: N pubinfo: dt: Oct2021 vid: 143 pid: 1004 pub: Elsevier B.V. artinfo: ui: 152605976 152605976 NLM34534909 152605976 10.1016/j.ejrad.2021.109946 NLM34534909 152605976 ppct: 1 formats: tig: atl: A diagnostic tree for differentiation of adult pilocytic astrocytomas from high-grade gliomas. aug: au: Park, Yae Won Kim, Dain Eom, Jihwan Ahn, Sung Soo Moon, Ju Hyung Kim, Eui Hyun Kang, Seok-Gu Chang, Jong Hee Kim, Se Hoon Lee, Seung-Koo affil: Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea sug: subj: Glioma Brain Neoplasms Adult Human Algorithms Diagnosis, Differential Magnetic Resonance Imaging Comparative Studies Multicenter Studies Randomized Controlled Trials Evaluation Research Validation Studies Scales Adult: 19-44 years ab: 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. pubtype: Academic Journal doctype: research randomized controlled trial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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