Balsat C, Blacher S, Signolle N, Beliard A, Munaut C, Goffin F, Noel A, Foidart J M, Kridelka F
Laboratory of Tumor and Development Biology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA-Cancer), University of Liège, Pathology Tower (B23), 4000 Liège, Belgium.
ISRN Obstet Gynecol. 2011;2011:354861. doi: 10.5402/2011/354861. Epub 2011 Aug 25.
Peritumoral Lymphatic Vessel Density (LVD) is considered to be a predictive marker for the presence of lymph node metastases in cervical cancer. However, when LVD quantification relies on conventional optical microscopy and the hot spot technique, interobserver variability is significant and yields inconsistent conclusions. In this work, we describe an original method that applies computed image analysis to whole slide scanned tissue sections following immunohistochemical lymphatic vessel staining. This procedure allows to determine an objective LVD quantification as well as the lymphatic vessel distribution and its heterogeneity within the stroma surrounding the invasive tumor bundles. The proposed technique can be useful to better characterize lymphatic vessel interactions with tumor cells and could potentially impact on prognosis and therapeutic decisions.
肿瘤周围淋巴管密度(LVD)被认为是宫颈癌淋巴结转移的预测标志物。然而,当LVD定量依赖于传统光学显微镜和热点技术时,观察者间的变异性很大,会得出不一致的结论。在这项工作中,我们描述了一种原始方法,该方法在免疫组化淋巴管染色后,将计算机图像分析应用于全玻片扫描的组织切片。该程序可以确定客观的LVD定量,以及淋巴管在浸润性肿瘤束周围基质内的分布及其异质性。所提出的技术有助于更好地表征淋巴管与肿瘤细胞的相互作用,并可能对预后和治疗决策产生影响。