BACKGROUND: The ability to diagnose brain tumors intraoperatively and identify tumor margins during resection could maximize resection and minimize morbidity. Advances in optical imaging enabled production of a handheld intraoperative confocal microscope. OBJECTIVE: To present a feasibility analysis of the intraoperative confocal microscope for brain tumor resection. METHODS: Thirty-three patients with brain tumor treated at Barrow Neurological Institute were examined. All patients received an intravenous bolus of sodium fluorescein before confocal imaging with the Optiscan FIVE 1 system probe. Optical biopsies were obtained within each tumor and along the tumor-brain interfaces. Corresponding pathologic specimens were then excised and processed. These data was compared by a neuropathologist to identify the concordance for tumor histology, grade, and margins. RESULTS: Thirty-one of 33 lesions were tumors (93.9%) and 2 cases were identified as radiation necrosis (6.1%). Of the former, 25 (80.6%) were intra-axial and 6 (19.4%) were extra-axial. Intra-axial tumors were most commonly gliomas and metastases, while all extra-axial tumors were meningiomas. Among high-grade gliomas, vascular neoproliferation, as well as tumor margins, were identifiable using confocal imaging. Meningothelial and fibrous meningiomas were distinct on confocal microscopy--the latter featured spindle-shaped cells distinguishable from adjacent parenchyma. Other tumor histologies correlated well with standard neuropathology tissue preparations. CONCLUSION: Intraoperative confocal microscopy is a practicable technology for the resection of human brain tumors. Preliminary analysis demonstrates reliability for a variety of lesions in identifying tumor cells and the tumor-brain interface. Further refinement of this technology depends upon the approval of tumor-specific fluorescent contrast agents for human use.
BACKGROUND: The ability to diagnose brain tumors intraoperatively and identify tumor margins during resection could maximize resection and minimize morbidity. Advances in optical imaging enabled production of a handheld intraoperative confocal microscope. OBJECTIVE: To present a feasibility analysis of the intraoperative confocal microscope for brain tumor resection. METHODS: Thirty-three patients with brain tumor treated at Barrow Neurological Institute were examined. All patients received an intravenous bolus of sodium fluorescein before confocal imaging with the Optiscan FIVE 1 system probe. Optical biopsies were obtained within each tumor and along the tumor-brain interfaces. Corresponding pathologic specimens were then excised and processed. These data was compared by a neuropathologist to identify the concordance for tumor histology, grade, and margins. RESULTS: Thirty-one of 33 lesions were tumors (93.9%) and 2 cases were identified as radiation necrosis (6.1%). Of the former, 25 (80.6%) were intra-axial and 6 (19.4%) were extra-axial. Intra-axial tumors were most commonly gliomas and metastases, while all extra-axial tumors were meningiomas. Among high-grade gliomas, vascular neoproliferation, as well as tumor margins, were identifiable using confocal imaging. Meningothelial and fibrous meningiomas were distinct on confocal microscopy--the latter featured spindle-shaped cells distinguishable from adjacent parenchyma. Other tumor histologies correlated well with standard neuropathology tissue preparations. CONCLUSION: Intraoperative confocal microscopy is a practicable technology for the resection of humanbrain tumors. Preliminary analysis demonstrates reliability for a variety of lesions in identifying tumor cells and the tumor-brain interface. Further refinement of this technology depends upon the approval of tumor-specific fluorescent contrast agents for human use.
Authors: Francesco Acerbi; Claudio Cavallo; Morgan Broggi; Roberto Cordella; Elena Anghileri; Marica Eoli; Marco Schiariti; Giovanni Broggi; Paolo Ferroli Journal: Neurosurg Rev Date: 2014-04-23 Impact factor: 3.042
Authors: Taofeek K Owonikoko; Jack Arbiser; Amelia Zelnak; Hui-Kuo G Shu; Hyunsuk Shim; Adam M Robin; Steven N Kalkanis; Timothy G Whitsett; Bodour Salhia; Nhan L Tran; Timothy Ryken; Michael K Moore; Kathleen M Egan; Jeffrey J Olson Journal: Nat Rev Clin Oncol Date: 2014-02-25 Impact factor: 66.675
Authors: Minbiao Ji; Spencer Lewis; Sandra Camelo-Piragua; Shakti H Ramkissoon; Matija Snuderl; Sriram Venneti; Amanda Fisher-Hubbard; Mia Garrard; Dan Fu; Anthony C Wang; Jason A Heth; Cormac O Maher; Nader Sanai; Timothy D Johnson; Christian W Freudiger; Oren Sagher; Xiaoliang Sunney Xie; Daniel A Orringer Journal: Sci Transl Med Date: 2015-10-14 Impact factor: 17.956
Authors: Minbiao Ji; Daniel A Orringer; Christian W Freudiger; Shakti Ramkissoon; Xiaohui Liu; Darryl Lau; Alexandra J Golby; Isaiah Norton; Marika Hayashi; Nathalie Y R Agar; Geoffrey S Young; Cathie Spino; Sandro Santagata; Sandra Camelo-Piragua; Keith L Ligon; Oren Sagher; X Sunney Xie Journal: Sci Transl Med Date: 2013-09-04 Impact factor: 17.956