Clinical Experience with Intraoperative Imaging
We have retrospectively investigated the benefit of intraoperative MRI for the resection of brain tumors. No previous study has assessed the extent of glioma resection (EGR) in a patient population whose craniotomies were guided with iMRI and compared directly to the EGR in a separate control patient population whose craniotomies were guided by stereotactic navigational systems that did not have the availability to update the MR images intraoperatively. With relative freedom of selection and referral bias, we evaluated the EGR achieved among 132 patients that underwent craniotomy for tumor resection at the BWH. The EGR of 65 patients whose craniotomies was conducted with iMRI was compared to the EGR of 67 patients whose craniotomies were conducted with standard neuronavigational equipment in the conventional surgical suite.
Following our data gathering and analysis, our results showed that the implementation of iMRI allowed the neurosurgeons to significantly maximize the EGR and to increase the number of gross total resections (GTR) that were achieved. Our results also showed that the EGR and the GTR achieved among patients with low grade gliomas, and those with gliomas that did not have infiltration in to eloquent regions of the brain were also significantly increased when iMRI was implemented.
Within the NCIGT, several projects involve the analysis of anonymized MRI scans of patients who underwent intraoperative MR-guided therapy (MRT) in which imaging was used during surgery. To understand the utility of the technology and to make these datasets available for others outside the NCIGT, investigators are analyzing the scans and archiving them in a database. Researchers already have available as an open source database MR scans from prior MRT neurosurgical cases that can be used to validate non-rigid registration algorithms. Additional work is being done to create and populate brain tumor and brain biopsy databases that will characterize data by demographical and other characteristics including pathology.
MRT was pioneered at the Brigham and Women's Hospital, the center for the NCIGT. Beginning in 1993, researchers used a 0.5 T open configuration magnet co-developed by the BWH and GE Medical Systems to safely and effectively perform interventional procedures, including but not limited to open neurosurgery, prostate brachytherapy, and thermal ablation (cryotherapy). During the procedures, the scanner's design allowed access to the patient without the need to reposition him or her for imaging. In terms of case load for MRT, three neurosurgical procedures took place on average in the open magnet per week.
Completed work available to the IGT community that is related to archiving and retrospective analysis of MRI scans will continue to be found under Downloads along with other NCIGT resources.
Back to Research Projects.
Publications
- Mislow J, Golby A, Black P. Origins of Intraoperative MRI. Neurosurg Clin N Am. 2009 Apr;20(2):137-46. PMID: 19555875.
- Voineskos A, O'Donnell L, Lobaugh N, Markant D, Ameis S, Niethammer M, Mulsant B, Pollock B, Kennedy J, Westin C, Shenton M. Quantitative Examination of a Novel Clustering Method using Magnetic Resonance Diffusion Tensor Tractography. Neuroimage. 2009 Apr 1;45(2):370-6. PMID: 19159690. PMCID: PMC2646811.
- White P, Whalen S, Tang S, Clement G, Jolesz F, Golby A. An Intraoperative Brain-shift Monitor Using Shear-mode Transcranial Ultrasound: Preliminary Results. J Ultrasound Med. 2009 Feb;28(2):191-203. PMID: 19168769. PMCID: PMC2631551.
- Talos IF, Archip N. Volumetric Non-Rigid Registration for MRI-Guided Brain Tumor Surgery. SPL brain tumor resection image dataset 2007 Aug.
- Archip N, Clatz O, Whalen S, Dimaio SP, Black PM, Jolesz FA, Golby A, Warfield SK. Compensation of Geometric Distortion Effects on Intraoperative Magnetic Resonance Imaging for Enhanced Visualization in Image-guided Neurosurgery. Neurosurgery. 2008 Mar;62(3 Suppl 1):209-15; discussion 215-6. PMID: 18424988.
- Archip N, Jolesz FA, Warfield SK. A Validation Framework for Brain Tumor Segmentation. Acad Radiol. 2007 Oct;14(10):1242-51. PMID: 17889341.
Involved Investigators
- Alexandra Golby, MD, NCIGT Core PI (Golby Lab)
- Lauren O’Donnell, PhD
- Hussein Kekhia, MD
