Immunogradient Indicators for Antitumor Response Assessment by Automated Tumor-Stroma Interface Zone Detection
作者: Allan RasmussonDovile ZilenaiteAusrine NestarenkaiteRenaldas AugulisAida LaurinavicieneValerijus OstapenkoTomas PoskusArvydas Laurinavicius
作者单位: 1National Center of Pathology, Vilnius University Hospital Santaros Clinics, Vilnius, Lithuania
2Department of Pathology, Forensic Medicine and Pharmacology, Institute of Biomedical Sciences, Vilnius University, Vilnius, Lithuania
3Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
4Institute of Biosciences, Life Sciences Centre, Vilnius University, Vilnius, Lithuania
5National Cancer Institute, Vilnius, Lithuania
刊名: The American Journal of Pathology, 2020, Vol.190 (6), pp.1309-1322
来源数据库: Elsevier Journal
DOI: 10.1016/j.ajpath.2020.01.018
原始语种摘要: The distribution of tumor-infiltrating lymphocytes (TILs) within the tumor microenvironment provides strong prognostic value, which is increasingly important with the arrival of new immunotherapy modalities. Both visual and image analysis–based assays are developed to assess the immune contexture of the tumors. We propose an automated method based on grid subsampling of microscopy image analysis data to extract the tumor-stroma interface zone (IZ) of controlled width. The IZ is a ranking of tissue areas by their distance to the tumor edge, which is determined by a set of explicit rules. TIL density profiles across the IZ are used to compute a set of novel immunogradient indicators that reflect TIL gradient towards the tumor. We applied this method on CD8 immunohistochemistry images of...
全文获取路径: Elsevier  (合作)
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影响因子:4.522 (2012)

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