Literature DB >> 12421125

Reflectance spectroscopy for in vivo detection of cervical precancer.

Yvette N Mirabal1, Sung K Chang, Edward Neely Atkinson, Anais Malpica, Michele Follen, Rebecca Richards-Kortum.   

Abstract

Optical technologies, in particular fluorescence spectroscopy, have shown the potential to provide improved detection methods for cervical neoplasia that are sensitive and cost effective through accurate, objective, instantaneous point-of-care diagnostic tools. The specific goals of this study were to analyze reflectance spectra of normal and neoplastic cervical tissue in vivo and to evaluate the data for use in diagnostic algorithm development. Spectroscopic measurements were obtained at four distinct source-detector separations from 324 sites in 161 patients. As the source-detector separation increases, greater tissue depth is probed. The average spectra of each diagnostic class differed at all source-detector separations, with the greatest differences occurring at the smallest source-detector separations. Algorithms, based on principal-component analysis and Mahalanobis distance classification, were developed and evaluated for all combinations of source-detector separations relative to the gold standard of colposcopically directed biopsy. The diagnostic combination of squamous normal versus high-grade squamous intraepithelial lesions gave good discrimination with a sensitivity of 72% and a specificity of 81%; discrimination of columnar normal versus high-grade squamous intraepithelial lesions also was good, with sensitivity of 72% and specificity of 83%. Thus, reflectance spectroscopy appears promising for in vivo detection of cervical precancer. Strategies that combine fluorescence and reflectance spectroscopy may enhance the discrimination capabilities.

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Year:  2002        PMID: 12421125     DOI: 10.1117/1.1502675

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


  49 in total

1.  Reflectance spectroscopy for diagnosis of epithelial precancer: model-based analysis of fiber-optic probe designs to resolve spectral information from epithelium and stroma.

Authors:  Dizem Arifler; Richard A Schwarz; Sung K Chang; Rebecca Richards-Kortum
Journal:  Appl Opt       Date:  2005-07-10       Impact factor: 1.980

2.  Lookup table-based inverse model for determining optical properties of turbid media.

Authors:  Narasimhan Rajaram; Tri H Nguyen; James W Tunnell
Journal:  J Biomed Opt       Date:  2008 Sep-Oct       Impact factor: 3.170

3.  Quantitative physiology of the precancerous cervix in vivo through optical spectroscopy.

Authors:  Vivide Tuan-Chyan Chang; Peter S Cartwright; Sarah M Bean; Greg M Palmer; Rex C Bentley; Nirmala Ramanujam
Journal:  Neoplasia       Date:  2009-04       Impact factor: 5.715

4.  Early detection of high-grade squamous intraepithelial lesions in the cervix with quantitative spectroscopic imaging.

Authors:  Condon Lau; Jelena Mirkovic; Chung-Chieh Yu; Geoff P O'Donoghue; Luis Galindo; Ramachandra Dasari; Antonio de las Morenas; Michael Feld; Elizabeth Stier
Journal:  J Biomed Opt       Date:  2013-07       Impact factor: 3.170

5.  Perturbation Monte Carlo methods for tissue structure alterations.

Authors:  Jennifer Nguyen; Carole K Hayakawa; Judith R Mourant; Jerome Spanier
Journal:  Biomed Opt Express       Date:  2013-09-04       Impact factor: 3.732

6.  Instrument independent diffuse reflectance spectroscopy.

Authors:  Bing Yu; Henry L Fu; Nirmala Ramanujam
Journal:  J Biomed Opt       Date:  2011 Jan-Feb       Impact factor: 3.170

7.  Fiber-based visible and near infrared optical coherence tomography (vnOCT) enables quantitative elastic light scattering spectroscopy in human retina.

Authors:  Weiye Song; Libo Zhou; Sui Zhang; Steven Ness; Manishi Desai; Ji Yi
Journal:  Biomed Opt Express       Date:  2018-06-28       Impact factor: 3.732

8.  Monte Carlo lookup table-based inverse model for extracting optical properties from tissue-simulating phantoms using diffuse reflectance spectroscopy.

Authors:  Ricky Hennessy; Sam L Lim; Mia K Markey; James W Tunnell
Journal:  J Biomed Opt       Date:  2013-03       Impact factor: 3.170

9.  Optical technologies and molecular imaging for cervical neoplasia: a program project update.

Authors:  Timon P H Buys; Scott B Cantor; Martial Guillaud; Karen Adler-Storthz; Dennis D Cox; Clement Okolo; Oyedunni Arulogon; Oladimeji Oladepo; Karen Basen-Engquist; Eileen Shinn; José-Miguel Yamal; J Robert Beck; Michael E Scheurer; Dirk van Niekerk; Anais Malpica; Jasenka Matisic; Gregg Staerkel; Edward Neely Atkinson; Luc Bidaut; Pierre Lane; J Lou Benedet; Dianne Miller; Tom Ehlen; Roderick Price; Isaac F Adewole; Calum MacAulay; Michele Follen
Journal:  Gend Med       Date:  2011-09-22

Review 10.  Optical imaging for cervical cancer detection: solutions for a continuing global problem.

Authors:  Nadhi Thekkek; Rebecca Richards-Kortum
Journal:  Nat Rev Cancer       Date:  2008-09       Impact factor: 60.716

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