1. Vascular habitat analysis based on dynamic susceptibility contrast perfusion MRI predicts IDH mutation status and prognosis in high-grade gliomas.
- Author
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Wu, Hao, Tong, Haipeng, Du, Xuesong, Guo, Hong, Ma, Qiang, Zhang, Yulong, Zhou, Xiaoyue, Liu, Heng, Wang, Sunan, Fang, Jingqin, and Zhang, Weiguo
- Subjects
OLIGODENDROGLIOMAS ,GLIOBLASTOMA multiforme ,BLOOD volume ,HABITATS ,PERFUSION ,RECEIVER operating characteristic curves ,BRAIN tumor diagnosis ,GENETIC mutation ,DNA ,SEQUENCE analysis ,GLIOMAS ,MAGNETIC resonance imaging ,PROGNOSIS ,BRAIN tumors ,RESEARCH funding ,OXIDOREDUCTASES - 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. [ABSTRACT FROM AUTHOR]- Published
- 2020
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