Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China.
J Biomed Opt. 2013 Jul;18(7):077003. doi: 10.1117/1.JBO.18.7.077003.
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.
乳腺癌的高发病率和死亡率需要一种有效、快速且具有成本效益的诊断方法。在这里，我们利用 400 到 2200nm 波长范围内的可见和近红外光谱来区分恶性肿瘤组织、良性肿瘤组织和正常乳腺组织。基于固定样本的吸收和散射光谱，提出了三种光谱分析方法，包括吸收光谱分析、散射光谱分析和两者的组合光谱分析。通过与组织病理学检查进行比较，计算了这三种分析方法的灵敏度、特异性和准确性。结果表明，与单独的吸收或散射光谱分析方法相比，组合光谱分析方法显著提高了有效性。对于良性肿瘤组织，组合光谱分析方法的灵敏度、特异性和准确性分别为 100%、87.82%和 87.50%；对于恶性肿瘤组织，分别为 81.82%、100%和 87.5%；对于正常乳腺组织，这三个值均为 100%。本研究表明，组合光谱分析方法在体外光学诊断乳腺病变方面具有更好的应用潜力。
