Denkçeken Tuba, Canpolat Murat, Baykara Mehmet, Başsorgun İbrahim, Aktaş-Samur Anıl
Department of Biophysics, Faculty of Medicine, SANKO University, Gaziantep, Turkey.
Biomedical Optics Research Unit, Department of Biophysics, Faculty of Medicine, Akdeniz University, Antalya, Turkey.
Int J Biol Macromol. 2016 Sep;90:63-7. doi: 10.1016/j.ijbiomac.2015.10.062. Epub 2015 Oct 23.
Elastic light single-scattering spectroscopy system (ELSSS) is a biomedical tool which is used for detection of cancerous tissues ex-vivo. ELSSS spectra depend primarily on the size of scatterers in the tissue and are not directly related to changes in the absorption which are caused by variations of the biological macromolecules. In the present study, we aimed to detect metastasis in the pelvic lymph node by using combination of Principal Components Analysis (PCA) and Linear Discriminant Analysis (LDA). Single-scattering spectra in the 450-750nm wavelength regions were obtained from the total of 83 reactive lymph node and 12 metastatic lymph node samples from 10 prostatic cancer patients. The ELSSS spectral data were compared against the "gold standard" histopathology results. Data analyses were done via using PCA, followed by LDA. Receiver Operating Characteristic (ROC) curve analysis was employed for differentiating performance. The classification based on discriminant score provided sensitivity of 100% and specificity of 96.4%, in differentiating non-metastatic (reactive) from metastatic pelvic lymph nodes, with a Positive Predictive Value (PPV) of 0.8, a Negative Predictive Value (NPV) of 0.99 and the area under the ROC curve (AUC) of 0.99, respectively. In this study, it was shown that ELSSS system can accurately distinguish reactive and metastatic pelvic lymph nodes of prostate cancer with high PPV and NPV. It can be concluded that diagnostic accuracy of ELSSS system allows detecting metastatic tissues during operation.
弹性光单散射光谱系统（ELSSS）是一种用于离体检测癌组织的生物医学工具。ELSSS光谱主要取决于组织中散射体的大小，与生物大分子变化引起的吸收变化没有直接关系。在本研究中，我们旨在通过主成分分析（PCA）和线性判别分析（LDA）相结合的方法检测盆腔淋巴结转移。从10例前列腺癌患者的83个反应性淋巴结和12个转移性淋巴结样本中获取了450 - 750nm波长区域的单散射光谱。将ELSSS光谱数据与“金标准”组织病理学结果进行比较。数据分析通过先使用PCA，然后进行LDA来完成。采用受试者工作特征（ROC）曲线分析来区分性能。基于判别分数的分类在区分非转移性（反应性）和转移性盆腔淋巴结时，敏感性为100%，特异性为96.4%，阳性预测值（PPV）为0.8，阴性预测值（NPV）为0.99，ROC曲线下面积（AUC）为0.99。在本研究中，结果表明ELSSS系统能够以高PPV和NPV准确区分前列腺癌的反应性和转移性盆腔淋巴结。可以得出结论，ELSSS系统的诊断准确性使其能够在手术中检测到转移性组织。
