Institute of Analytical Chemistry and Radiochemistry, Leopold-Franzens University, Innrain 80/82, 6020 Innsbruck, Austria.
Analyst. 2013 Oct 7;138(19):5719-25. doi: 10.1039/c3an01101a.
Bladder carcinoma represents more than 4% of all cancer diseases in Austria. The histomorphological evaluation is invasive and remains a subjective and time consuming technique. On account of this it is necessary to find novel non-invasive approaches which support the pathologists for histological recognition to identify malignancy at an early stage. In the present study, Fourier transform infrared (FTIR) microscopic imaging was combined with univariate and multivariate data analysis methods to study bladder carcinoma tissue sections in detail. The possibility to collect IR spectra of bladder carcinoma tissue sections employing an optimized analytical protocol is demonstrated. The correlation between FTIR microscopic imaging and the morphological tissue features obtained by histological staining of the sections demonstrated that many histomorphological tissue patterns can be visualized in the colour images. The routine generation of high quality imaging data is enabled because of the combination of FTIR technology and optimized sample preparation techniques. This opens a new quality of spectroscopic analyses of cancerous tissue, allowing exploration of molecular changes associated with the histopathological morphology.
膀胱癌占奥地利所有癌症的 4%以上。组织形态学评估具有侵袭性,仍然是一种主观且耗时的技术。因此,有必要寻找新的非侵入性方法,为病理学家提供帮助,使其能够在早期识别恶性肿瘤。在本研究中,傅里叶变换红外(FTIR)显微成像与单变量和多变量数据分析方法相结合,对膀胱癌组织切片进行了详细研究。结果表明,采用优化的分析方案,采集膀胱癌组织切片的红外光谱是可行的。FTIR 显微成像与组织切片的组织学染色获得的形态组织特征之间的相关性表明,许多组织形态学组织模式可以在彩色图像中可视化。FTIR 技术与优化的样本制备技术相结合,实现了高质量成像数据的常规生成。这为癌症组织的光谱分析开辟了新的质量水平,使探索与组织病理学形态相关的分子变化成为可能。