Literature DB >> 12374334

Optimal excitation wavelengths for discrimination of cervical neoplasia.

Sung K Chang1, Michele Follen, Anais Malpica, Urs Utzinger, Gregg Staerkel, Dennis Cox, E Neely Atkinson, Calum MacAulay, Rebecca Richards-Kortum.   

Abstract

Fluorescence spectroscopy has shown promise for the in vivo, real-time detection of cervical neoplasia. However, selection of excitation wavelength has in the past been based on in vitro studies and the availability of light sources. The goal of this study was to determine optimal excitation wavelengths for in vivo detection of cervical neoplasia. Fluorescence excitation-emission matrices (EEMs) were measured in vivo from 351 sites in 146 patients. Data were analyzed in pairs of diagnostic classes to determine which combination of excitation wavelengths yields classification algorithms with the greatest sensitivity and specificity. We find that 330-340-, 350-380-, and 400-450-nm excitation yield the best performance. The sensitivity and specificity for discrimination of squamous normal tissue and high-grade squamous intraepithelial lesion (HGSIL) were 71% and 77% on cross validation using three excitation wavelengths. These results are comparable with those found in earlier in vivo studies; however, in this study we find that the proportion of samples which are HGSIL influences performance. Furthermore stratification of samples within low-grade squamous intraepithelial lesion and HGSIL also appears to influence diagnostic performance. Future diagnostic studies should be carried out at these excitation wavelengths in larger groups so that data can be stratified by diagnostic subcategory, age and menopausal status. Similarly, large studies should be done in screening populations.

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Year:  2002        PMID: 12374334     DOI: 10.1109/TBME.2002.803597

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  12 in total

1.  Robust Smoothing: Smoothing Parameter Selection and Applications to Fluorescence Spectroscopy.

Authors:  Jong Soo Lee; Dennis D Cox
Journal:  Comput Stat Data Anal       Date:  2010-12-01       Impact factor: 1.681

2.  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

3.  Autofluorescence excitation-emission matrices for diagnosis of colonic cancer.

Authors:  Bu-Hong Li; Shu-Sen Xie
Journal:  World J Gastroenterol       Date:  2005-07-07       Impact factor: 5.742

4.  Physician attitudes toward dissemination of optical spectroscopy devices for cervical cancer control: an industrial-academic collaborative study.

Authors:  Eileen Shinn; Usman Qazi; Shalini Gera; Joan Brodovsky; Jessica Simpson; Michele Follen; Karen Basen-Engquist; Calum Macaulay
Journal:  Gend Med       Date:  2012-02

5.  Evaluation of Antitumor Activity of Hesperetin-Loaded Nanoparticles Against DMBA-Induced Oral Carcinogenesis Based on Tissue Autofluorescence Spectroscopy and Multivariate Analysis.

Authors:  Krishnamoorthy Gurushankar; Shaiju S Nazeer; Ramapurath S Jayasree; Narendran Krishnakumar
Journal:  J Fluoresc       Date:  2015-05-07       Impact factor: 2.217

6.  Accuracy of optical spectroscopy for the detection of cervical intraepithelial neoplasia: Testing a device as an adjunct to colposcopy.

Authors:  Scott B Cantor; Jose-Miguel Yamal; Martial Guillaud; Dennis D Cox; E Neely Atkinson; John L Benedet; Dianne Miller; Thomas Ehlen; Jasenka Matisic; Dirk van Niekerk; Monique Bertrand; Andrea Milbourne; Helen Rhodes; Anais Malpica; Gregg Staerkel; Shahla Nader-Eftekhari; Karen Adler-Storthz; Michael E Scheurer; Karen Basen-Engquist; Eileen Shinn; Loyd A West; Anne-Therese Vlastos; Xia Tao; J Robert Beck; Calum Macaulay; Michele Follen
Journal:  Int J Cancer       Date:  2010-11-09       Impact factor: 7.396

Review 7.  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

8.  Understanding the biological basis of autofluorescence imaging for oral cancer detection: high-resolution fluorescence microscopy in viable tissue.

Authors:  Ina Pavlova; Michelle Williams; Adel El-Naggar; Rebecca Richards-Kortum; Ann Gillenwater
Journal:  Clin Cancer Res       Date:  2008-04-15       Impact factor: 12.531

9.  A bayesian hierarchical model for classification with selection of functional predictors.

Authors:  Hongxiao Zhu; Marina Vannucci; Dennis D Cox
Journal:  Biometrics       Date:  2009-06-09       Impact factor: 2.571

10.  Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study.

Authors:  Hongxiao Zhu; Jeffrey S Morris; Fengrong Wei; Dennis D Cox
Journal:  Comput Stat Data Anal       Date:  2017-02-15       Impact factor: 1.681

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