Development of a positron probe for localization and excision of brain tumours during surgery

F Bogalhas1, Y Charon, M-A Duval

  • 1Laboratoire Imagerie et Modélisation en Neurobiologie et Cancérologie (UMR 8165), Campus d'Orsay, 91406 Orsay Cedex, France.

Insights

Surgeons can now better remove brain tumors using a new intraoperative positron probe. This device precisely identifies cancerous tissue during surgery, improving patient survival outcomes and enabling simultaneous detection and removal.

Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Nuclear Medicine

Background:

  • Complete surgical resection is crucial for glioma patient survival.
  • Accurate tumor boundary delineation remains a challenge in neurosurgery.
  • Existing techniques may not offer sufficient real-time guidance for complete tumor removal.

Purpose of the Study:

  • To develop an intraoperative positron probe for precise glioma boundary delineation.
  • To enable simultaneous detection and resection of radiolabeled tumors.
  • To improve the efficiency and accuracy of radio-guided cancer surgery.

Main Methods:

  • Developed an intraoperative positron probe with background noise rejection.
  • Utilized scintillating fibers (clear and plastic) in exchangeable detection heads.
  • Employed a real-time subtraction technique for background rejection.
  • Coupled probe heads to fiber optics for remote photodetection and processing.

Main Results:

  • Achieved probe sensitivity of 1.1 and 3.4 cps kBq(-1) ml(-1) for (18)F with small and large heads, respectively.
  • Obtained a mean spatial resolution of 1.6 mm FWHM.
  • Demonstrated 99.4% gamma-ray rejection efficiency using realistic brain phantom models.
  • Detected 5 mm diameter (20 mg) tumor discs with a 4s acquisition time and >3:1 tumor-to-background ratio.

Conclusions:

  • The developed intraoperative positron probe is a valuable tool for precise brain tumor excision.
  • The probe enhances radio-guided surgery by improving tumor detection and resection accuracy.
  • This technology has the potential to significantly improve patient outcomes in glioma treatment.