Multicentre Validation of How Vascular Biomarkers From Tumor Can Predict the Survival of the Patient With Glioblastoma

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

305 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-02-07

Study Completion Date

2019-03-01

Brief Summary

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Despite an aggressive therapeutic approach, the prognosis for most patients with glioblastoma (GBM) remains poor. The relationship between non-invasive Magnetic Resonance Imaging (MRI) biomarkers at preoperative, postradiotherapy and follow-up stages, and the survival time in GBM patients will be useful to plan an optimal strategy for the management of the disease.

The Hemodynamic Multiparametric Tissue Signature (HTS) biomarker provides an automated unsupervised method to describe the heterogeneity of the enhancing tumor and edema areas in terms of the angiogenic process located at these regions. This allows to automatically draw 4 reproducible habitats that describe the tumor vascular heterogeneity:

* The High Angiogenic enhancing Tumor (HAT)
* The Less Angiogenic enhancing Tumor (LAT)
* The potentially tumor Infiltrated Peripheral Edema (IPE)
* The Vasogenic Peripheral Edema (VPE)

The conceptual hypothesis is that there is a significant correlation between the perfusion biomarkers located at several HTS habitats and the patient's overall survival.

The primary purpose of this clinical study is to determine if preoperative vascular heterogeneity of glioblastoma is predictive of overall survival of patients undergoing standard-of-care treatment by using the HTS biomarker.

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Detailed Description

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This is a multicenter observational retrospective study with data collected from Hospital Information System (HIS) and Picture Archiving and Communication System (PACS) of each center involved in the study. The cohort is built with patients diagnosed with glioblastoma (GBM) with a Magnetic Resonance Imaging (MRI) pre-treatment since 1st of January of 2012 until the Study Start Date.

The main objective of the study is to determine if the habitats obtained by the Hemodynamic Multiparametric Tissue Signature (HTS) biomarker, which describe the tumor vascular heterogeneity of the enhancing tumor and edema areas, are predictive of the overall survival of patients undergoing standard-of-care treatment.

The specific objectives of the study are:

* To identify four habitats within the GBM using MRI and HTS
* To analyse the relation between the HTS habitats obtained from the first preoperative MRI and the overall survival of the patient
* To analyse the relation between HTS habitats obtained from the first preoperative MRI and the progression-free survival of the patient
* To analyse the relation between the HTS habitats obtained from the postradiotherapy MRI and the overall survival of the patient
* To analyse the relation between HTS habitats obtained from the postradiotherapy MRI and the progression-free survival of the patient
* To discover other interesting relations between the HTS habitats obtained from preoperative, postradiotherapy and follow-up images and the clinical conditions of the patients

Cox regression, Kaplan-Meier estimator and multiple linear regression analysis will be used to assess survival significance of each biomarker at each HTS habitat. The predictive value will be compared with models based on clinical and volumetric image variables: Age, Karnofsky Performance Status (KPS) Scale and Visually AcceSAble Rembrandt Images (VASARI) features. Moreover, the HTS-based models will be compared to models based on hemodynamic biomarkers, such as Cerebral Blood Flow (CBF), Cerebral Blood Volume (CBV), capillary permeability (Ktrans) and fractional Volume of Extravascular-Extracellular space (Ve), and diffusion biomarkers, such as Apparent Diffusion Coefficient (ADC), extracted from automatic segmentations of the edema and the enhancing tumor. Finally, Sørensen-Dice coefficient will be used to measure the correlation between MTS habitats in longitudinal studies.

Conditions

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Glioblastoma

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients diagnosed with Glioblastoma grade IV WHO with histopathological confirmation
* Age \>18 years at diagnosis
* Patients with access to the preoperative and postradiotherapy MRI studies using 1.5 Tesla (T) or 3T scanners, including: pre and post gadolinium T1-weighted MRI, T2-weighted MRI, FLAIR MRI, Dynamic Susceptibility Contrast (DSC) T2\*-weighted perfusion, Dynamic Contrast Enhancement (DCE) T1-weighted perfusion (optional) and Diffusion Weighted Imaging (DWI) (optional)
* WHO performance score between 0 and 2
* Patients with Karnofsky Performance Score (KPS) of ≥ 70%

Exclusion Criteria

* Patients with congestive heart failure within 6 months prior to study entry (New York Heart Association ≥ Grade 3)
* Uncontrolled or significant cardiovascular disease, including: myocardial infarction and transient ischemic attack or stroke within 6 months prior to enrollment, uncontrolled angina within 6 months, diagnosed or suspected congenital long QT syndrome, any history of clinically significant ventricular arrhythmia (such as ventricular tachycardia, ventricular fibrillation or Torsades de pointes) and clinically significant abnormality on electrocardiogram (ECG)
* Pulmonary disease including or greater than grade 2 dyspnea or laryngeal edema, grade 3 pulmonary edema or pulmonary hypertension according to CTCAE 4.03

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No