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Proceedings Paper

Brain tumor resection guided by fluorescence imaging and MRI image guidance
Author(s): Pablo Valdes; Brent T. Harris; Frederic Leblond; Kathryn M. Fontaine; Songbai Ji; Brian W. Pogue; Alex Hartov; David W. Roberts; Keith D. Paulsen
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Paper Abstract

Recent evidence suggests a correlation between extent of tumor resection and patient prognosis, making maximal tumor resection a clinical ideal for neurosurgeons. Our group is currently undertaking a clinical study using fluorescence-based detection of tumor coupled with a standard 3-D image guidance system to study the effectiveness of fluorescence-based detection in the neurosurgical operating room. For fluorescence-based detection, we used 5-aminolevulinic acid to induce accumulation of protoporphyrin IX in malignant tissues. In this paper, we chose one prototypical, highly fluorescent case of glioblastoma multiforme, a high-grade glioma, to highlight some of the key findings and methodology used in our study of fluorescence-based detection and resection of brain tumors.

Paper Details

Date Published: 13 March 2009
PDF: 8 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726103 (13 March 2009); doi: 10.1117/12.813868
Show Author Affiliations
Pablo Valdes, Dartmouth College (United States)
Brent T. Harris, Dartmouth-Hitchcock Medical Ctr. (United States)
Frederic Leblond, Dartmouth College (United States)
Kathryn M. Fontaine, Dartmouth College (United States)
Songbai Ji, Dartmouth College (United States)
Brian W. Pogue, Dartmouth College (United States)
Alex Hartov, Dartmouth College (United States)
Norris Cotton Cancer Ctr., Dartmouth-Hitchcock Medical Ctr. (United States)
David W. Roberts, Norris Cotton Cancer Ctr., Dartmouth-Hitchcock Medical Ctr. (United States)
Keith D. Paulsen, Dartmouth College (United States)
Norris Cotton Cancer Ctr., Dartmouth-Hitchcock Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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