How the Precise Habitats Can Predict the IDH Mutation Status and Prognosis of the Patients With High-grade Gliomas

High-grade glioma is the most common primary malignant tumor in central nervous system, and its high tumor heterogeneity is the main cause of tumor progression, treatment resistance and recurrence. Habitat imaging is a segmentation technique by dividing tumor regions to characterize tumor heterogeneity based on tumor pathology, blood perfusion, molecular characteristics and other tumor biological features. In some studies, the Hemodynamic Multiparametric Tissue Signature (HTS) method has been proven to be feasible. The Hemodynamic Multiparametric Tissue Signature (HTS) consists of a set of vascular habitats obtained by Dynamic Susceptibility Weighted Contrast Enhanced Magnetic Resonance Imaging (DSC-MRI) of high-grade gliomas using a multiparametric unsupervised analysis method. This allowed them to automatically draw 4 reproducible vascular habitats (High-angiogenic enhancing tumor; Low-angiogenic enhancing tumor; Potentially tumor infiltrated peripheral edema; Vasogenic peripheral edema) which enable to describe the tumor vascular heterogeneity robustly. In other studies, contrast-enhancing mass can divided into spatial habitats by K-means clustering of voxel-wise apparent diffusion coefficient (ADC) and cerebral blood volume (CBV) values to observe the changes of voxels in spatial habitat on the time line. Using this so-called spatiotemporal habitat to identify progression or pseudoprogression in cancer therapy. Above all, we have sufficient and firm reasons to deem that habitat imaging based on multiparametric MRI is more conducive to reflect the potential biological information inside the tumor and realize individualized diagnosis and treatment. To sum up, the assumption of this experiment is that the Habitats Created by preoperative or postoperative Multiparametric MRI ,such as conventional MRI sequences, Dynamic Susceptibility Weighted Contrast Enhanced Magnetic Resonance Imaging (DSC-MRI), Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI), Diffusion Weighted Magnetic Resonance Imaging(DWI) ,Vessel Size Imaging (VSI) ,or Magnetic Resonance Spectroscopy (MRS) can predict the molecular mutation status, prognosis, treatment residence, progression, pseudoprogression, and even recurrence and distant intracranial recurrence in patients with high-grade gliomas.

Sex

All

Minimum age

18 Years

Inclusion Criteria (if we will predict the molecular status and overall survival):

* the patient was over 18 years old
* the lesion was located in the supratentorial space;
* a histopathologic diagnosis of HGGs according to the WHO CNS4/5;
* all subjects were the first diagnosed cases without any invasive or non-invasive treatment;
* access to the complete preoperative MR imaging examinations, at least including four conventional sequences.

Inclusion Criteria (if we will differentiate recurrence from distant intracranial recurrence):

* the patient was over 18 years old;
* the lesion was located in the supratentorial space;
* a histopathologic diagnosis of HGGs according to the WHO CNS4/5;
* underwent concurrent chemoradiotherapy with temozolomide after surgical resection or biopsy;
* underwent preoperative and postoperative MRI, at least including four conventional sequences;
* had newly appeared or enlarging, measurable, contrast-enhancing mass which raises clinical suspicion of tumor recurrence and distant intracranial recurrence;
* adequate follow-up examinations to determine treatment response on clinic-radiological consensus or pathologic confirmation.

Exclusion Criteria:

* patient with other brain tumors or other grade gliomas at the same time;
* patient with severe basic diseases at the same time;
* patient with a survival time of less than 30 days, which can be caused by severe surgical trauma stress;
* poor image quality and heavy artifact affect the subsequent image processing.

• BACKGROUNDWu H, Tong H, Du X, Guo H, Ma Q, Zhang Y, Zhou X, Liu H, Wang S, Fang J, Zhang W. Vascular habitat analysis based on dynamic susceptibility contrast perfusion MRI predicts IDH mutation status and prognosis in high-grade gliomas. Eur Radiol. 2020 Jun;30(6):3254-3265. doi: 10.1007/s00330-020-06702-2. Epub 2020 Feb 20. PMID 32078014