NCT07376304Not yet recruitingPhase 3
Intraoperative Ultrasound for Brain Tumor Surgery Enhanced by AI
Optimization of Intraoperative Ultrasound Use in Brain Tumor Surgery Through Artificial Intelligence-Based Techniques
Source: ClinicalTrials.gov · Last updated 17 Sept 2026
Brief summary (registry, in English)
Intraoperative ultrasound is a versatile, low-cost imaging tool that has been shown to improve safety and efficacy in brain tumor surgery. However, its widespread adoption remains limited due to operator dependency, the complexity of image interpretation, the presence of artifacts, and a restricted field of view. This project aims to prospectively evaluate, in a multicenter and non-randomized setting, a prototype real-time deep learning-based segmentation model for brain tumor delineation in intraoperative ultrasound. The model is designed to facilitate the identification of tumor tissue during surgery, potentially enhancing intraoperative decision-making and surgical precision. By increasing the precision and accessibility of ioUS, this innovation is expected to enable safer and more complete resections, with the potential to improve both survival and quality of life for patients with brain tumors.
- Status (registry)
- Not yet recruiting
- Phase (registry)
- Phase 3
- Study type
- Interventional
- Enrollment
- 100 (estimated)
- First submitted
- 22 Jan 2026
- Start date
- Dec 2026
- Primary completion date
- Dec 2027
- Lead sponsor
- Hospital del Rio Hortega
- Diseases
- Glioblastoma
- NCT number
- NCT07376304
What you commit to
- Study type: Interventional · Phase 3
- Planned participants: 100
- From Dec 2026 to the primary completion date, Dec 2027
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Inadequate ioUS image acquisition due to technical failure or intraoperative complications unrelated to the tumor.
Who the study is looking for
- Age ≥ 18 years.
- Scheduled for craniotomy and resection of a brain tumor with ioUS planned as part of the standard surgical workflow.
- Preoperative MRI available for surgical planning.
- Ability to obtain informed consent from the patient or legal representative.
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.