Clinical trial · Observational
BIRN (Biomedical Informatics Research Network) Resources Facilitate the Personalization of Malignant Brain Tumor
BIRN (Biomedical Informatics Research Network)Resources Facilitate the Personalization of Malignant Brain Tumor
- 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 study is to create a comprehensive database of Magnetic Resonance Imaging (MRI) and of pathology for patients with brain tumors. Both standard, advanced, and research MRI components may be included, these will be analyzed in comparison with pathology results if/when a biopsy is obtained, and also used to predict/evaluate responses to therapy. This study will create a database of de-identified MRI images which include these techniques so that brain tumors can be studied over time (longitudinally) in an organized manner.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Brain Neoplasm | Brain Neoplasm | ONTOLOGY_EXACT | 0.90 |
| GLIOBLASTOMA MULTIFORME | Glioblastoma | CURATED_BROADER | 0.80 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- Brain Tumor
- description
- Brain neoplasms, malignant
Primary outcomes (0)
[]Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 70 Years
Show eligibility criteria text
Inclusion Criteria: * Patients will be enrolled in this clinical trial pre-operatively anticipating a surgical resection with anticipation that the patient carries a likely diagnosis of malignant glioma. * Patients will only be enrolled if it is anticipated that the resection will give significant tissue for subsequent genetic analysis (1 cm of tumor tissue) * If patients at surgery are found to carry an alternative tissue diagnosis, the patient's preoperative imaging, clinical, and pathological information will be uploaded into the database, but the patient will not be counted as one of the participants * Ability to undergo serial MR studies * Enrollment KPS \> 70 * Anticipation that surgery will allow subtotal resection or gross total resection, facilitating removal of tissue specimens for genomic analysis. Exclusion Criteria: * Inability to participate in serial MR studies * KPS \< 70 * \> 70 years of age
References
Publications (1)
- DERIVEDPrior FW, Fouke SJ, Benzinger T, Boyd A, Chicoine M, Cholleti S, Kelsey M, Keogh B, Kim L, Milchenko M, Politte DG, Tyree S, Weinberger K, Marcus D. Predicting a multi-parametric probability map of active tumor extent using random forests. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:6478-81. doi: 10.1109/EMBC.2013.6611038. PMID 24111225