Literature DB >> 18163796

Probing pancreatic disease using tissue optical spectroscopy.

Malavika Chandra1, James Scheiman, David Heidt, Diane Simeone, Barbara McKenna, Mary-Ann Mycek.   

Abstract

Pancreatic adenocarcinoma, one of the leading causes of cancer death in the United States, has a five-year survival rate of only 4%. Present detection methods do not provide accurate diagnosis in the disease's early stages. To investigate whether optical spectroscopy could potentially aid in early diagnosis and improve survival rates, reflectance and fluorescence spectroscopies were employed for the first time in a limited pilot study to probe freshly excised human pancreatic tissues (normal, pancreatitis, and adenocarcinoma) and in vivo human pancreatic cancer xenografts in nude mice. In human pancreatic tissues, measurements were associated with endogenous fluorophores NAD(P)H and collagen, as well as tissue optical properties, with larger relative collagen content detected in adenocarcinoma and pancreatitis than normal. Good correspondence was observed between spectra from adenocarcinoma and cancer xenograft tissues. Reflectance data indicated that adenocarcinoma had higher reflectance in the 430- to 500-nm range compared to normal and pancreatitis tissues. The observed significant differences between the fluorescence and reflectance properties of normal, pancreatitis, and adenocarcinoma tissues present an opportunity for future statistical validation on a larger patient pool and indicate a potential application of multimodal optical spectroscopy to differentiate between diseased and normal pancreatic tissue states.

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Year:  2007        PMID: 18163796     DOI: 10.1117/1.2818029

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  13 in total

1.  Portable, Fiber-Based, Diffuse Reflection Spectroscopy (DRS) Systems for Estimating Tissue Optical Properties.

Authors:  Karthik Vishwanath; Kevin Chang; Daniel Klein; Yu Feng Deng; Vivide Chang; Janelle E Phelps; Nimmi Ramanujam
Journal:  Appl Spectrosc       Date:  2011-02-01       Impact factor: 2.388

2.  Characterizing human pancreatic cancer precursor using quantitative tissue optical spectroscopy.

Authors:  Seung Yup Lee; William R Lloyd; Malavika Chandra; Robert H Wilson; Barbara McKenna; Diane Simeone; James Scheiman; Mary-Ann Mycek
Journal:  Biomed Opt Express       Date:  2013-11-14       Impact factor: 3.732

3.  Spectral areas and ratios classifier algorithm for pancreatic tissue classification using optical spectroscopy.

Authors:  Malavika Chandra; James Scheiman; Diane Simeone; Barbara McKenna; Julianne Purdy; Mary-Ann Mycek
Journal:  J Biomed Opt       Date:  2010 Jan-Feb       Impact factor: 3.170

4.  Tissue Classification Using Optical Spectroscopy Accurately Differentiates Cancer and Chronic Pancreatitis.

Authors:  Robert H Wilson; Malavika Chandra; James M Scheiman; Seung Yup Lee; Oliver E Lee; Barbara J McKenna; Diane M Simeone; Jeremy M G Taylor; Mary-Ann Mycek
Journal:  Pancreas       Date:  2017-02       Impact factor: 3.327

5.  Dark-field scanning in situ spectroscopy platform for broadband imaging of resected tissue.

Authors:  Venkataramanan Krishnaswamy; Ashley M Laughney; Keith D Paulsen; Brian W Pogue
Journal:  Opt Lett       Date:  2011-05-15       Impact factor: 3.776

6.  In vivo optical spectroscopy for improved detection of pancreatic adenocarcinoma: a feasibility study.

Authors:  William R Lloyd; Robert H Wilson; Seung Yup Lee; Malavika Chandra; Barbara McKenna; Diane Simeone; James Scheiman; Mary-Ann Mycek
Journal:  Biomed Opt Express       Date:  2013-12-02       Impact factor: 3.732

7.  Application of time-resolved autofluorescence to label-free in vivo optical mapping of changes in tissue matrix and metabolism associated with myocardial infarction and heart failure.

Authors:  João Lagarto; Benjamin T Dyer; Clifford Talbot; Markus B Sikkel; Nicholas S Peters; Paul M W French; Alexander R Lyon; Chris Dunsby
Journal:  Biomed Opt Express       Date:  2015-01-07       Impact factor: 3.732

8.  Noninvasive Optical Assessment of Implanted Tissue-Engineered Construct Success In Situ.

Authors:  William R Lloyd; Seung Yup Lee; Sakib F Elahi; Leng-Chun Chen; Shiuhyang Kuo; Hyungjin Myra Kim; Cynthia Marcelo; Stephen E Feinberg; Mary-Ann Mycek
Journal:  Tissue Eng Part C Methods       Date:  2021-05       Impact factor: 3.056

9.  Photon-tissue interaction model enables quantitative optical analysis of human pancreatic tissues.

Authors:  Robert H Wilson; Malavika Chandra; Leng-Chun Chen; William R Lloyd; James Scheiman; Diane Simeone; Julianne Purdy; Barbara McKenna; Mary-Ann Mycek
Journal:  Opt Express       Date:  2010-10-11       Impact factor: 3.894

10.  Instrumentation to rapidly acquire fluorescence wavelength-time matrices of biological tissues.

Authors:  William R Lloyd; Robert H Wilson; Ching-Wei Chang; Gregory D Gillispie; Mary-Ann Mycek
Journal:  Biomed Opt Express       Date:  2010-08-10       Impact factor: 3.732

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