Literature DB >> 19907534

Optical spectroscopy detects histological hallmarks of pancreatic cancer.

Robert H Wilson1, Malavika Chandra, James Scheiman, Diane Simeone, Barbara McKenna, Julianne Purdy, Mary-Ann Mycek.   

Abstract

An empirical model was developed to interpret differences in the experimentally measured reflectance and fluorescence spectra of freshly excised human pancreatic tissues: normal, adenocarcinoma, and pancreatitis (inflammation). The model provided the first quantitative links between spectroscopic measurements and histological characteristics in the human pancreas. The reflectance model enabled the first (to our knowledge) extraction of wavelength resolved absorption and reduced scattering coefficients for normal and diseased human pancreatic tissues. The fluorescence model employed reflectance information to extract attenuation free "intrinsic" endogenous fluorescence spectra from normal pancreatic tissue, pancreatic adenocarcinoma, and pancreatitis. The method developed is simple, intuitive, and potentially useful for a range of applications in optical tissue diagnostics. This approach is potentially applicable to in vivo studies, because it can account for the absorptive effects of blood in tissues.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19907534     DOI: 10.1364/OE.17.017502

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  20 in total

1.  Limitations of the commonly used simplified laterally uniform optical fiber probe-tissue interface in Monte Carlo simulations of diffuse reflectance.

Authors:  Peter Naglič; Franjo Pernuš; Boštjan Likar; Miran Bürmen
Journal:  Biomed Opt Express       Date:  2015-09-11       Impact factor: 3.732

2.  Probe pressure effects on human skin diffuse reflectance and fluorescence spectroscopy measurements.

Authors:  Liang Lim; Brandon Nichols; Narasimhan Rajaram; James W Tunnell
Journal:  J Biomed Opt       Date:  2011 Jan-Feb       Impact factor: 3.170

3.  Extraction of intrinsic fluorescence from single fiber fluorescence measurements on a turbid medium: experimental validation.

Authors:  U A Gamm; C L Hoy; F van Leeuwen-van Zaane; H J C M Sterenborg; S C Kanick; D J Robinson; A Amelink
Journal:  Biomed Opt Express       Date:  2014-05-22       Impact factor: 3.732

Review 4.  Influence of the phase function in generalized diffuse reflectance models: review of current formalisms and novel observations.

Authors:  Katherine W Calabro; Irving J Bigio
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

5.  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

6.  Optical Metric Assessed Engineered Tissues Over a Range of Viability States.

Authors:  Leng-Chun Chen; Shiuhyang Kuo; William R Lloyd; Hyungjin Myra Kim; Cynthia L Marcelo; Stephen E Feinberg; Mary-Ann Mycek
Journal:  Tissue Eng Part C Methods       Date:  2019-05       Impact factor: 3.056

7.  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

8.  Temporal variations of skin pigmentation in C57BL/6 mice affect optical bioluminescence quantitation.

Authors:  Allison Curtis; Katherine Calabro; Jean-Rene Galarneau; Irving J Bigio; Thomas Krucker
Journal:  Mol Imaging Biol       Date:  2011-12       Impact factor: 3.488

9.  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

10.  CT contrast predicts pancreatic cancer treatment response to verteporfin-based photodynamic therapy.

Authors:  Michael Jermyn; Scott C Davis; Hamid Dehghani; Matthew T Huggett; Tayyaba Hasan; Stephen P Pereira; Stephen G Bown; Brian W Pogue
Journal:  Phys Med Biol       Date:  2014-03-20       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.