Kuepper C, Großerueschkamp F, Kallenbach-Thieltges A, Mosig A, Tannapfel A, Gerwert K
Chair of Biophysics, Faculty of Biology and Biotechnology Ruhr University Bochum, Germany.
Institute of Pathology, Ruhr University Bochum, Germany.
Faraday Discuss. 2016 Jun 23;187:105-18. doi: 10.1039/c5fd00157a.
In recent years spectral histopathology (SHP) has been established as a label-free method to identify cancer within tissue. Herein, this approach is extended. It is not only used to identify tumour tissue with a sensitivity of 94% and a specificity of 100%, but in addition the tumour grading is determined. Grading is a measure of how much the tumour cells differ from the healthy cells. The grading ranges from G1 (well-differentiated), to G2 (moderately differentiated), G3 (poorly differentiated) and in rare cases to G4 (anaplastic). The grading is prognostic and is needed for the therapeutic decision of the clinician. The presented results show good agreement between the annotation by SHP and by pathologists. A correlation matrix is presented, and the results show that SHP provides prognostic values in colon cancer, which are obtained in a label-free and automated manner. It might become an important automated diagnostic tool at the bedside in precision medicine.
近年来，光谱组织病理学（SHP）已成为一种用于识别组织内癌症的无标记方法。在此，该方法得到了扩展。它不仅用于识别肿瘤组织，灵敏度为94%，特异性为100%，此外还可确定肿瘤分级。分级是衡量肿瘤细胞与健康细胞差异程度的指标。分级范围从G1（高分化）到G2（中分化）、G3（低分化），在罕见情况下到G4（间变）。分级具有预后价值，是临床医生进行治疗决策所必需的。所呈现的结果表明，SHP标注与病理学家的标注之间具有良好的一致性。给出了一个相关矩阵，结果表明SHP在结肠癌中提供了预后价值，这些价值是以无标记和自动化的方式获得的。它可能成为精准医学床边重要的自动化诊断工具。
