Characterizing human pancreatic cancer precursor using quantitative tissue optical spectroscopy

Seung Yup Lee; William R Lloyd; Malavika Chandra; Robert H Wilson; Barbara McKenna; Diane Simeone; James Scheiman; Mary-Ann Mycek

doi:10.1364/BOE.4.002828

Characterizing human pancreatic cancer precursor using quantitative tissue optical spectroscopy

Biomed Opt Express. 2013 Nov 14;4(12):2828-34. doi: 10.1364/BOE.4.002828. eCollection 2013.

Authors

Seung Yup Lee¹, William R Lloyd¹, Malavika Chandra², Robert H Wilson², Barbara McKenna³, Diane Simeone⁴, James Scheiman⁵, Mary-Ann Mycek⁶

Affiliations

¹ Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA.
² Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA.
³ Department of Pathology, University of Michigan, Ann Arbor, MI 48109-0602, USA.
⁴ Department of Surgery, University of Michigan, Ann Arbor, MI 48109-5331, USA.
⁵ Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109-0362, USA ; Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109-0944, USA.
⁶ Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2099, USA ; Applied Physics Program, University of Michigan, Ann Arbor, MI 48109-1040, USA ; Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109-0944, USA.

Abstract

In a pilot study, multimodal optical spectroscopy coupled with quantitative tissue-optics models distinguished intraductal papillary mucinous neoplasm (IPMN), a common precursor to pancreatic cancer, from normal tissues in freshly excised human pancreas. A photon-tissue interaction (PTI) model extracted parameters associated with cellular nuclear size and refractive index (from reflectance spectra) and extracellular collagen content (from fluorescence spectra). The results suggest that tissue optical spectroscopy has the potential to characterize pre-cancerous neoplasms in human pancreatic tissues.

Keywords: (170.4580) Optical diagnostics for medicine; (170.6510) Spectroscopy, tissue diagnostics.

Grants and funding

R01 CA114542/CA/NCI NIH HHS/United States