Vascular habitat analysis based on dynamic susceptibility contrast perfusion MRI predicts IDH mutation status and prognosis in high-grade gliomas.
Eur Radiol
; 30(6): 3254-3265, 2020 Jun.
Article
em En
| MEDLINE
| ID: mdl-32078014
ABSTRACT
OBJECTIVE:
The current study aimed to evaluate the clinical practice for hemodynamic tissue signature (HTS) method in IDH genotype prediction in three groups derived from high-grade gliomas.METHODS:
Preoperative MRI examinations of 44 patients with known grade and IDH genotype were assigned into three study groups glioblastoma multiforme, grade III, and high-grade gliomas. Perfusion parameters were analyzed and were used to automatically draw the four reproducible habitats (high-angiogenic enhancing tumor habitats, low-angiogenic enhancing tumor habitats, infiltrated peripheral edema habitats, vasogenic peripheral edema habitats) related to vascular heterogeneity. These four habitats were then compared between inter-patient with IDH mutation and their wild-type counterparts at these three groups, respectively. The discriminating potential for HTS in assessing IDH mutation status prediction was assessed by ROC curves.RESULTS:
Compared with IDH wild type, IDH mutation had significantly decreased relative cerebral blood volume (rCBV) at the high-angiogenic enhancing tumor habitats and low-angiogenic enhancing tumor habitats. ROC analysis revealed that the rCBVs in habitats had great ability to discriminate IDH mutation from their wild type in all groups. In addition, the Kaplan-Meier survival analysis yielded significant differences for the survival times observed from the populations dichotomized by low (< 4.31) and high (> 4.31) rCBV in the low-angiogenic enhancing tumor habitat.CONCLUSIONS:
The HTS method has been proven to have high prediction capabilities for IDH mutation status in high-grade glioma patients, providing a set of quantifiable habitats associated with tumor vascular heterogeneity. KEY POINTS ⢠The HTS method has a high accuracy for molecular stratification prediction for all subsets of HGG. ⢠The HTS method can give IDH mutation-related hemodynamic information of tumor-infiltrated and vasogenic edema. ⢠IDH-relevant rCBV difference in habitats will be a great prognosis factor in HGG.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Neoplasias Encefálicas
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DNA
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Imageamento por Ressonância Magnética
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Glioblastoma
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Volume Sanguíneo Cerebral
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Isocitrato Desidrogenase
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Mutação
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article