Medical hyperspectral imaging to facilitate XXXX identification during surgery.

@entity0 @entity41 @entity5 @entity106 @entity86 @entity35
INTRODUCTION: Adequate evaluation of @entity0 resection at surgery continues to be an important issue in surgical care, as over 30% of @entity86 recur locally unless radiation is used to destroy remaining @entity5 cells in the field. Medical Hyperspectral Imaging (MHSI) delivers near-real time images of biomarkers in tissue, providing an assessment of pathophysiology and the potential to distinguish different tissues based on spectral characteristics. METHODS: We have used an experimental @entity106 -induced @entity35 @entity0 model to examine the intraoperative utility of MHSI, in distinguishing @entity5 from normal breast and other tissues. @entity35 @entity5 underwent surgical exposure and MHSI imaging, followed by partial resection of the @entity5 , then MHSI imaging of the resection bed, and finally total resection of @entity5 and of grossly normal-appearing glands. Resected tissue underwent gross examination, MHSI imaging, and histopathological evaluation. RESULTS: An algorithm based on spectral characteristics of tissue types was developed to distinguish between @entity5 and normal tissues. Tissues including @entity5 , blood vessels, muscle, and connective tissue were clearly identified and differentiated by MHSI. Fragments of @entity41 0.5-1 mm in size intentionally left in the operative bed were readily identified. MHSI demonstrated a sensitivity of 89% and a specificity of 94% for @entity41 , comparable to that of histopathological examination of the @entity5 bed (85% and 92%, respectively). CONCLUSION: We conclude that MHSI may be useful in identifying small @entity41 in a @entity5 resection bed and for indicating areas requiring more extensive resection and more effective biopsy locations to the surgeon.
