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Risk Estimation in Non-Enhancing Glioma: Introducing a Clinical Score.
Dao Trong, Philip; Kilian, Samuel; Jesser, Jessica; Reuss, David; Aras, Fuat Kaan; Von Deimling, Andreas; Herold-Mende, Christel; Unterberg, Andreas; Jungk, Christine.
Afiliação
  • Dao Trong P; Department of Neurosurgery, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Kilian S; Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany.
  • Jesser J; Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Reuss D; Division of Neuropathology, Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Aras FK; German Cancer Consortium (DKTK), CCU Neuropathology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Von Deimling A; Division of Neuropathology, Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Herold-Mende C; Division of Neuropathology, Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Unterberg A; German Cancer Consortium (DKTK), CCU Neuropathology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Jungk C; Department of Neurosurgery, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Cancers (Basel) ; 15(9)2023 Apr 27.
Article em En | MEDLINE | ID: mdl-37173969
The preoperative grading of non-enhancing glioma (NEG) remains challenging. Herein, we analyzed clinical and magnetic resonance imaging (MRI) features to predict malignancy in NEG according to the 2021 WHO classification and developed a clinical score, facilitating risk estimation. A discovery cohort (2012-2017, n = 72) was analyzed for MRI and clinical features (T2/FLAIR mismatch sign, subventricular zone (SVZ) involvement, tumor volume, growth rate, age, Pignatti score, and symptoms). Despite a "low-grade" appearance on MRI, 81% of patients were classified as WHO grade 3 or 4. Malignancy was then stratified by: (1) WHO grade (WHO grade 2 vs. WHO grade 3 + 4) and (2) molecular criteria (IDHmut WHO grade 2 + 3 vs. IDHwt glioblastoma + IDHmut astrocytoma WHO grade 4). Age, Pignatti score, SVZ involvement, and T2/FLAIR mismatch sign predicted malignancy only when considering molecular criteria, including IDH mutation and CDKN2A/B deletion status. A multivariate regression confirmed age and T2/FLAIR mismatch sign as independent predictors (p = 0.0009; p = 0.011). A "risk estimation in non-enhancing glioma" (RENEG) score was derived and tested in a validation cohort (2018-2019, n = 40), yielding a higher predictive value than the Pignatti score or the T2/FLAIR mismatch sign (AUC of receiver operating characteristics = 0.89). The prevalence of malignant glioma was high in this series of NEGs, supporting an upfront diagnosis and treatment approach. A clinical score with robust test performance was developed that identifies patients at risk for malignancy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article