Literature DB >> 19725718

Use of an endoscope-compatible probe to detect colonic dysplasia with Fourier transform infrared spectroscopy.

Mark A Mackanos1, John Hargrove, Rolf Wolters, Christine B Du, Shai Friedland, Roy M Soetikno, Christopher H Contag, May R Arroyo, James M Crawford, Thomas D Wang.   

Abstract

Fourier transform infrared (FTIR) spectroscopy is sensitive to the molecular composition of tissue and has the potential to identify premalignant tissue (dysplasia) as an adjunct to endoscopy. We demonstrate collection of mid-infrared absorption spectra with a silver halide (AgCl(0.4)Br(0.6)) optical fiber and use spectral preprocessing to identify optimal subranges that classify colonic mucosa as normal, hyperplasia, or dysplasia. We collected spectra (n=83) in the 950 to 1800 cm(-1) regime on biopsy specimens obtained from human subjects (n=37). Subtle differences in the magnitude of the absorbance peaks at specific wave numbers were observed. The best double binary algorithm for distinguishing normal-versus-dysplasia and hyperplasia-versus-dysplasia was determined from an exhaustive search of spectral intervals and preprocessing techniques. Partial least squares discriminant analysis was used to classify the spectra using a leave-one-subject-out cross-validation strategy. The results were compared with histology reviewed independently by two gastrointestinal pathologists. The optimal thresholds identified resulted in an overall sensitivity, specificity, accuracy, and positive predictive value of 96%, 92%, 93%, and 82%, respectively. These results indicated that mid-infrared absorption spectra collected remotely with an optical fiber can be used to identify colonic dysplasia with high accuracy, suggesting that continued development of this technique for the early detection of cancer is promising.

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Year:  2009        PMID: 19725718      PMCID: PMC3232016          DOI: 10.1117/1.3174387

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


  27 in total

1.  Detection of endogenous biomolecules in Barrett's esophagus by Fourier transform infrared spectroscopy.

Authors:  Thomas D Wang; George Triadafilopoulos; James M Crawford; Lisa R Dixon; Tarun Bhandari; Peyman Sahbaie; Shai Friedland; Roy Soetikno; Christopher H Contag
Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-27       Impact factor: 11.205

2.  Fiber-optical and microscopic detection of malignant tissue by use of infrared spectrometry.

Authors:  Uwe Bindig; Harald Winter; Wolfgang Wäsche; Konstantinos Zelianeos; Gerhardt Müller
Journal:  J Biomed Opt       Date:  2002-01       Impact factor: 3.170

3.  Estimation of glycogen levels in human colorectal cancer tissue: relationship with cell cycle and tumor outgrowth.

Authors:  S Takahashi; A Satomi; K Yano; H Kawase; T Tanimizu; Y Tuji; S Murakami; R Hirayama
Journal:  J Gastroenterol       Date:  1999-08       Impact factor: 7.527

4.  Infrared spectroscopy with multivariate analysis potentially facilitates the segregation of different types of prostate cell.

Authors:  Matthew J German; Azzedine Hammiche; Narasimhan Ragavan; Mark J Tobin; Leanne J Cooper; Shyam S Matanhelia; Andrew C Hindley; Caroline M Nicholson; Nigel J Fullwood; Hubert M Pollock; Francis L Martin
Journal:  Biophys J       Date:  2006-02-24       Impact factor: 4.033

5.  Mid-infrared spectroscopy on skin using a silver halide fibre probe in vivo.

Authors:  A Ring; V Schreiner; H Wenck; K P Wittern; L Küpper; R Keyhani
Journal:  Skin Res Technol       Date:  2006-02       Impact factor: 2.365

6.  Diagnosis of gastric inflammation and malignancy in endoscopic biopsies based on Fourier transform infrared spectroscopy.

Authors:  Qing-Bo Li; Xue-Jun Sun; Yi-Zhuang Xu; Li-Min Yang; Yuan-Fu Zhang; Shi-Fu Weng; Jing-Sen Shi; Jin-Guang Wu
Journal:  Clin Chem       Date:  2005-01-06       Impact factor: 8.327

7.  Distinction of cervical cancer biopsies by use of infrared microspectroscopy and probabilistic neural networks.

Authors:  A Podshyvalov; R K Sahu; S Mark; K Kantarovich; H Guterman; J Goldstein; R Jagannathan; S Argov; S Mordechai
Journal:  Appl Opt       Date:  2005-06-20       Impact factor: 1.980

8.  Early spectral changes of cellular malignant transformation using Fourier transform infrared microspectroscopy.

Authors:  Evgeny Bogomolny; Mahmoud Huleihel; Yelena Suproun; Ranjit K Sahu; Shaul Mordechai
Journal:  J Biomed Opt       Date:  2007 Mar-Apr       Impact factor: 3.170

9.  Inflammatory bowel diseases as an intermediate stage between normal and cancer: a FTIR-microspectroscopy approach.

Authors:  Shmuel Argov; Ranjit K Sahu; Evgenia Bernshtain; Ahmad Salman; Guy Shohat; Udi Zelig; Shaul Mordechai
Journal:  Biopolymers       Date:  2004-12-05       Impact factor: 2.505

10.  Fourier transform infrared spectra of aqueous protein mixtures using a novel attenuated total internal reflectance cell with infrared fibers.

Authors:  S Simhony; E M Kosower; A Katzir
Journal:  Biochem Biophys Res Commun       Date:  1987-02-13       Impact factor: 3.575

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  4 in total

Review 1.  Application of optical imaging and spectroscopy to radiation biology.

Authors:  Gregory M Palmer; Karthik Vishwanath; Mark W Dewhirst
Journal:  Radiat Res       Date:  2012-02-23       Impact factor: 2.841

2.  Detection of colonic inflammation with Fourier transform infrared spectroscopy using a flexible silver halide fiber.

Authors:  Vinay K Katukuri; John Hargrove; Sharon J Miller; Kinan Rahal; John Y Kao; Rolf Wolters; Ellen M Zimmermann; Thomas D Wang
Journal:  Biomed Opt Express       Date:  2010-09-21       Impact factor: 3.732

3.  Computational chemical imaging for cardiovascular pathology: chemical microscopic imaging accurately determines cardiac transplant rejection.

Authors:  Saumya Tiwari; Vijaya B Reddy; Rohit Bhargava; Jaishankar Raman
Journal:  PLoS One       Date:  2015-05-01       Impact factor: 3.240

4.  Discrimination of Human Cell Lines by Infrared Spectroscopy and Mathematical Modeling.

Authors:  Rezvan Zendehdel; Farshad H Shirazi
Journal:  Iran J Pharm Res       Date:  2015       Impact factor: 1.696

  4 in total

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