Literature DB >> 17212550

Spatially resolved reflectance spectroscopy for diagnosis of cervical precancer: Monte Carlo modeling and comparison to clinical measurements.

Dizem Arifler1, Calum MacAulay, Michele Follen, Rebecca Richards-Kortum.   

Abstract

We present Monte Carlo modeling studies to provide a quantitative understanding of contrast observed in spatially resolved reflectance spectra of normal and highly dysplastic cervical tissue. Simulations have been carried out to analyze the sensitivity of spectral measurements to a range of changes in epithelial and stromal optical properties that are reported to occur as dysplasia develops and to predict reflectance spectra of normal and highly dysplastic tissue at six different source-detector separations. Simulation results provide important insights into specific contributions of different optical parameters to the overall spectral response. Predictions from simulations agree well with in vivo measurements from cervical tissue and successfully describe spectral differences observed in reflectance measurements from normal and precancerous tissue sites. Penetration depth statistics of photons detected at the six source-detector separations are also presented to reveal the sampling depth profile of the fiber-optic probe geometry simulated. The modeling studies presented provide a framework to meaningfully interpret optical signals obtained from epithelial tissues and to optimize design of optical sensors for in vivo reflectance measurements for precancer detection. Results from this study can facilitate development of analytical photon propagation models that enable inverse estimation of diagnostically relevant optical parameters from in vivo reflectance measurements.

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Year:  2006        PMID: 17212550     DOI: 10.1117/1.2398932

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


  25 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.  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

3.  Model-based analysis of reflectance and fluorescence spectra for in vivo detection of cervical dysplasia and cancer.

Authors:  Crystal Redden Weber; Richard A Schwarz; E Neely Atkinson; Dennis D Cox; Calum Macaulay; Michele Follen; Rebecca Richards-Kortum
Journal:  J Biomed Opt       Date:  2008 Nov-Dec       Impact factor: 3.170

4.  Monte Carlo model to describe depth selective fluorescence spectra of epithelial tissue: applications for diagnosis of oral precancer.

Authors:  Ina Pavlova; Crystal Redden Weber; Richard A Schwarz; Michelle Williams; Adel El-Naggar; Ann Gillenwater; Rebecca Richards-Kortum
Journal:  J Biomed Opt       Date:  2008 Nov-Dec       Impact factor: 3.170

5.  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

6.  Epidural catheter with integrated light guides for spectroscopic tissue characterization.

Authors:  R P Soto-Astorga; S West; S Putnis; J C Hebden; A E Desjardins
Journal:  Biomed Opt Express       Date:  2013-10-24       Impact factor: 3.732

Review 7.  Optical spectroscopy and imaging for the noninvasive evaluation of engineered tissues.

Authors:  Irene Georgakoudi; William L Rice; Marie Hronik-Tupaj; David L Kaplan
Journal:  Tissue Eng Part B Rev       Date:  2008-12       Impact factor: 6.389

8.  Detection of cervical cancer based on photoacoustic imaging-the in-vitro results.

Authors:  Kuan Peng; Ling He; Bo Wang; Jiaying Xiao
Journal:  Biomed Opt Express       Date:  2014-12-15       Impact factor: 3.732

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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