title: Visible and near-infrared spectroscopy for distinguishing malignant tumor tissue from benign tumor and normal breast tissues in vitro.
abstract: The high incidence and mortality of breast cancer requires an effective, rapid, and cost-effective method for its diagnosis. Here, visible and near-infrared spectroscopy in the wavelength range of 400 to 2200 nm is utilized for distinguishing the malignant tumor tissue from benign tumor and normal breast tissues. Based on the absorption and scattering spectra of fixed samples, three spectral analysis methods are proposed which include an absorption spectral analysis, a scattering spectral analysis, and a combined spectral analysis of the two. By comparison with the histopathological examination, the sensitivity, specificity, and accuracy of the three analysis methods are calculated. The results showed that the combined spectral analysis method can significantly enhance the effectiveness when compared with the sole absorption or scattering spectral analysis method. The sensitivity, specificity, and accuracy of the combined spectral analysis method are 100%, 87.82%, and 87.50% for the benign tumor tissue and 81.82%, 100%, and 87.5% for malignant tumor tissue, respectively. All of the three values are 100% for normal breast tissue. This study demonstrates that the combined spectral analysis method has better potential for in vitro optical diagnosis for breast lesions.
authors.affiliation: Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhang
authors.forename: Yongjun
authors.initials: Y
authors.lastname: Chen
authors.forename: Yuan
authors.initials: Y
authors.lastname: Yu
authors.forename: Xingbo
authors.initials: X
authors.lastname: Xue
authors.forename: Valery V
authors.initials: VV
authors.lastname: Tuchin
authors.forename: Dan
authors.initials: D
authors.lastname: Zhu
mesh_terms: D000042:Absorption; D001940:Breast / Q000737:chemistry* / Q000473:pathology; D001943:Breast Neoplasms / Q000737:chemistry* / Q000473:pathology; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D012016:Reference Values; D012542:Scattering, Radiation; D012680:Sensitivity and Specificity; D019265:Spectroscopy, Near-Infrared / Q000379:methods*