Enhanced optical imaging of human gliomas and tumor margins

Neurosurgery. 1996 Feb;38(2):308-17. doi: 10.1097/00006123-199602000-00015.

Abstract

One of the potential variables affecting the overall survival and quality of life of patients with intracranial gliomas is the extent of tumor resection that results in the smallest volume of residual disease. A technique involving enhanced optical imaging of human gliomas has the potential to localize tumors, identify tumor remaining at the resection margins, and determine the grade of the tumor. In a preliminary study involving nine patients undergoing surgery for the removal of intrinsic brain tumors, enhanced optical imaging was performed using indocyanine green as an intravenous contrast-enhancement agent. Optical images were obtained before and after injection of the indocyanine green. The studies in the nine patients showed differences in the dynamic optical signals among normal brain, low-grade astrocytomas, and malignant astrocytomas. Optical imaging of the resection margins in malignant tumors showed differences between adjacent normal tissue and remaining tumor tissue. Enhanced optical imaging of human gliomas using a contrast-enhancing dye, indocyanine green, provides a potential means to differentiate between normal brain and tumor tissue at the cortical surface and the depths of the resection margins. Having the ability to obtain real-time information and feedback in the operating room may allow neurosurgeons to maximize the extent of tumor resection while sparing normal brain and increasing the diagnostic accuracy of intraoperative biopsies. Enhanced optical imaging potentially could facilitate the accuracy and safety of surgery when tumors are removed at sites even outside the central nervous system.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.
  • Review

MeSH terms

  • Adult
  • Brain Neoplasms / pathology*
  • Diagnostic Imaging*
  • Female
  • Glioma / pathology*
  • Humans
  • Image Enhancement
  • Image Processing, Computer-Assisted
  • Indocyanine Green
  • Male
  • Middle Aged
  • Optics and Photonics*

Substances

  • Indocyanine Green