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- Title
Vascular habitat analysis based on dynamic susceptibility contrast perfusion MRI predicts IDH mutation status and prognosis in high-grade gliomas.
- Authors
Wu, Hao; Tong, Haipeng; Du, Xuesong; Guo, Hong; Ma, Qiang; Zhang, Yulong; Zhou, Xiaoyue; Liu, Heng; Wang, Sunan; Fang, Jingqin; Zhang, Weiguo
- Abstract
<bold>Objective: </bold>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.<bold>Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusions: </bold>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.<bold>Key Points: </bold>• 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.
- 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
- Publication
European Radiology, 2020, Vol 30, Issue 6, p3254
- ISSN
0938-7994
- Publication type
journal article
- DOI
10.1007/s00330-020-06702-2