Intraoperative Ultrasound for Brain Tumor Surgery Enhanced by AI

Starting soon · Phase 3

Conditions studied: Brain Tumor Adult

In brief

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.

Key facts

Study ID

NCT07376304

Run by

Hospital del Rio Hortega

People needed

100

Starts

2026-03-01

Expected to finish

2028-06-01

Last updated by the study team

2026-01-29

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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.

You may not qualify if…

• Inadequate ioUS image acquisition due to technical failure or intraoperative complications unrelated to the tumor.

Full record on ClinicalTrials.gov

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