Clinical trial · Observational
Feasibility of ONCOhabitats for Surgical and Treatment Planning in IDH-Wildtype Glioblastoma (SINUE)
Feasibility Evaluation of ONCOhabitats for Supporting Surgical and Therapeutic Planning in Patients With IDH-Wildtype Glioblastoma (SINUE)
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this clinical trial is to validate ONCOhabitats, an advanced imaging software, as a medical device for the clinical management of IDH-wildtype glioblastoma. The study aims to evaluate whether imaging biomarkers derived from pre-surgical MRI using ONCOhabitats can predict overall survival and support clinical decision-making. The primary research questions are: * Can ONCOhabitats identify vascular and molecular characteristics within the peritumoral infiltrated edema (IPE) that are associated with patient prognosis? * Can these imaging biomarkers aid in stratifying patients according to their response to treatment, including temozolomide and immunotherapy? Participants will: * Be adults diagnosed with high-grade glioma who are scheduled for surgical tumor resection * Undergo preoperative MRI processed with ONCOhabitats to segment the tumor into four biological habitats (HAT, LAT, IPE, and VPE) * Provide tissue samples from each habitat when feasible, based on surgical and clinical considerations Researchers will analyze: * Imaging biomarkers (e.g., relative cerebral blood volume, rCBV) * Molecular and histopathological features (e.g., MGMT promoter methylation, gene expression profiles associated with immunosuppression) * Clinical and survival outcomes This study seeks to enhance glioblastoma characterization and support personalized treatment strategies through the clinical validation of a software platform.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Glioblastoma IDH (Isocitrate Dehydrogenase) Wildtype | Glioblastoma | CURATED_BROADER | 0.80 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| The ONCOhabitats software for MRI-based habitat segmentation | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Patients with IDH-wildtype Glioblastoma
- description
- Patients with IDH-wildtype glioblastoma who have undergone a pre-surgical MRI study
- interventionNames
- Device: The ONCOhabitats software for MRI-based habitat segmentation
Primary outcomes (1)
- measure
- Association of ONCOhabitats-Derived Vascular Biomarkers in the IPE Region With Overall Survival
- timeFrame
- Imaging biomarkers at surgery (baseline); overall survival followed for up to 24 months post-surgery
- description
- Imaging biomarkers-including relative cerebral blood volume (rCBV), volume (cm³), and radiomic vascular heterogeneity metrics-will be extracted from the peritumoral infiltrated edema (IPE) habitat using the ONCOhabitats platform on preoperative MRI. These biomarkers will be quantitatively assessed for their association with overall survival. Overall survival is defined as the time from surgical resection to death from any cause, with a follow-up of up to 24 months. Statistical analysis will include Kaplan-Meier survival estimation and Cox proportional hazards regression models.
Secondary outcomes (8)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Adults (≥18 years old) at the time of diagnosis * Radiological diagnosis of high-grade glioma * Candidates for surgical resection * Availability of complete preoperative MRI studies, including: * T1-weighted MRI (pre- and post-gadolinium) * T2-weighted MRI * FLAIR (Fluid-Attenuated Inversion Recovery) * T2\*-weighted DSC perfusion MRI * Signed informed consent to participate in the clinical study Exclusion Criteria: * Patients who do not provide informed consent * Patients deemed inoperable Withdrawal criteria: * MRI data that cannot be processed using ONCOhabitats * Patient withdraws informed consent at any time
References
Publications (3)
- BACKGROUNDJuan-Albarracin J, Fuster-Garcia E, Perez-Girbes A, Aparici-Robles F, Alberich-Bayarri A, Revert-Ventura A, Marti-Bonmati L, Garcia-Gomez JM. Glioblastoma: Vascular Habitats Detected at Preoperative Dynamic Susceptibility-weighted Contrast-enhanced Perfusion MR Imaging Predict Survival. Radiology. 2018 Jun;287(3):944-954. doi: 10.1148/radiol.2017170845. Epub 2018 Jan 19. PMID 29357274
- BACKGROUNDDel Mar Alvarez-Torres M, Juan-Albarracin J, Fuster-Garcia E, Bellvis-Bataller F, Lorente D, Reynes G, Font de Mora J, Aparici-Robles F, Botella C, Munoz-Langa J, Faubel R, Asensio-Cuesta S, Garcia-Ferrando GA, Chelebian E, Auger C, Pineda J, Rovira A, Oleaga L, Molla-Olmos E, Revert AJ, Tshibanda L, Crisi G, Emblem KE, Martin D, Due-Tonnessen P, Meling TR, Filice S, Saez C, Garcia-Gomez JM. Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study. J Magn Reson Imaging. 2020 May;51(5):1478-1486. doi: 10.1002/jmri.26958. Epub 2019 Oct 26. PMID 31654541
- BACKGROUNDJuan-Albarracin J, Fuster-Garcia E, Garcia-Ferrando GA, Garcia-Gomez JM. ONCOhabitats: A system for glioblastoma heterogeneity assessment through MRI. Int J Med Inform. 2019 Aug;128:53-61. doi: 10.1016/j.ijmedinf.2019.05.002. Epub 2019 May 16. PMID 31160012