Research Papers

Comparison of autofluorescence, diffuse reflectance, and Raman spectroscopy for breast tissue discrimination

[+] Author Affiliations
Shovan K. Majumder, Matthew D. Keller

Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee 37235

Fouad I. Boulos

Vanderbilt University, Department of Pathology, Nashville, Tennessee 37235

Mark C. Kelley

Vanderbilt University, Department of Surgical Oncology, Nashville, Tennessee 37235

Anita Mahadevan-Jansen

Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee 37235

J. Biomed. Opt. 13(5), 054009 (September 22, 2008). doi:10.1117/1.2975962
History: Received October 03, 2007; Revised March 17, 2008; Accepted April 16, 2008; Published September 22, 2008
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For a given diagnostic problem, important considerations are the relative performances of the various optical biopsy techniques. A comparative evaluation of fluorescence, diffuse reflectance, combined fluorescence and diffuse reflectance, and Raman spectroscopy in discriminating different histopathologic categories of human breast tissues is reported. Optical spectra were acquired ex vivo from a total of 74 breast tissue samples belonging to 4 distinct histopathologic categories: invasive ductal carcinoma (IDC), ductal carcinoma in situ (DCIS), fibroadenoma (FA), and normal breast tissue. A probability-based multivariate statistical algorithm capable of direct multiclass classification was developed to analyze the diagnostic content of the spectra measured from the same set of breast tissue sites with these different techniques. The algorithm uses the theory of nonlinear maximum representation and discrimination feature for feature extraction, and the theory of sparse multinomial logistic regression for classification. The results reveal that the performance of Raman spectroscopy is superior to that of all others in classifying the breast tissues into respective histopathologic categories. The best classification accuracy was observed to be 99%, 94%, 98%, and 100% for IDC, DCIS, FA, and normal breast tissues, respectively, on the basis of leave-one-sample-out cross-validation, with an overall accuracy of 99%.

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© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Shovan K. Majumder ; Matthew D. Keller ; Fouad I. Boulos ; Mark C. Kelley and Anita Mahadevan-Jansen
"Comparison of autofluorescence, diffuse reflectance, and Raman spectroscopy for breast tissue discrimination", J. Biomed. Opt. 13(5), 054009 (September 22, 2008). ; http://dx.doi.org/10.1117/1.2975962


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