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Discrimination of malignant and normal kidney tissue with short wave infrared dispersive Raman spectroscopy
Author(s) -
Haifler Miki,
Pence Isaac,
Sun Yu,
Kutikov Alexander,
Uzzo Robert G.,
MahadevanJansen Anita,
Patil Chetan A.
Publication year - 2018
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201700188
Subject(s) - receiver operating characteristic , pathology , materials science , medicine
Kidney cancer affects 65 000 new patients annually. Renal mass biopsy and overtreatment of renal masses remain debated issues in the renal cancer community. Raman spectroscopy can differentiate normal and malignant kidney tissues; however, prior 785 nm systems report intense autofluorescence. We examine normal and cancerous kidney specimens using a dispersive 1064 nm excitation system, and report kidney spectra classification with an overall accuracy of 92.5% along with low background autofluorescence.