Glioblastoma Multiforme
Conditions
Brief summary
This study is investigating the use of a computer algorithm to analyze scans of the brain before surgery to predict how a person's tumor will respond to treatment.
Interventions
DEVICESupport Vector Machine
Machine learning algorithm
Sponsors
Washington University School of Medicine
National Cancer Institute (NCI)
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Must have a radiological diagnosis of a lesion in the brain with characteristics consistent with glioblastoma multiforme. * Must be planning to undergo a pre-operative MRI. * Must be at least 18 years old. * Must be able to understand and willing to sign an IRB approved written informed consent document.
Exclusion criteria
* Contraindication to MRI. * Inability to have clinical follow-up (e.g., patient is out of town and will do follow-up elsewhere).
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Number of participants who are deemed as short-term survivor or a long-term survivor | Through completion of follow-up (estimated to be 2 years) | -Patients will be deemed as a short-term survivor or a long-term survivor and this will be defined as overall survival as less than or greater than 14.5 months, respectively. |
Countries
United States
Contacts
CONTACTDimitrios Mathios, M.D.
PRINCIPAL_INVESTIGATORDimitrios Mathios, M.D.
Washington University School of Medicine
Outcome results
None listed