Brain Tumor Intraoperative Ultrasound Database
NCT05062772 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 150
Last updated 2024-11-15
Summary
Predicting the survival of patients diagnosed with glioblastoma (GBM) is essential to guide surgical strategy and subsequent adjuvant therapies. Intraoperative ultrasound (ioUS) is a low-cost, versatile technique available in most neurosurgical departments. The images from ioUS contain biological information possibly correlated to the tumor's behavior, aggressiveness, and oncological outcomes. Today's advanced image processing techniques require a large amount of data. Therefore, the investigators propose creating an international database aimed to share intraoperative ultrasound images of brain tumors. The acquired data must be processed to extract radiomic or texture characteristics from ioUS images. The rationale is that ultrasound images contain much more information than the human eye can process. Our main objective is to find a relationship between these imaging characteristics and overall survival (OS) in GBM. The predictive models elaborated from this imaging technique will complement those already based on other sources such as magnetic resonance imaging (MRI), genetic and molecular analysis, etc. Predicting survival using an intraoperative imaging technique affordable for most hospitals would greatly benefit the patients' management.
Conditions
- Brain Tumor
- Brain Neoplasms
- Brain Cancer
- Glioma
- Glioblastoma
Interventions
- DIAGNOSTIC_TEST
-
Ultrasound
Intraoperative ultrasound imaging
Sponsors & Collaborators
-
Hospital del Rio Hortega
lead OTHER
Principal Investigators
-
Santiago Cepeda, MD, PhD · Department of Neurosurgery University Hospital Río Hortega
Eligibility
- Min Age
- 15 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-05-25
- Primary Completion
- 2024-11-14
- Completion
- 2024-11-14
Countries
- United States
- France
- India
- Italy
- Spain
Study Locations
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