Digital Pathology for Analyzing Endomyocardial Biopsy Specimens
نویسندگان
چکیده
Introduction: Visual assessment of endomyocardial biopsy (EMB) specimens may result in errors due to the human factor and inability obtain quantitative data on intensity immunohistochemical (IHC) reactions severity pathological changes heart transplant. Detailed digital characterization EMB based automated or semi-automated computer-assisted morphometry improves diagnostic accuracy EMB. Objective: To develop a method algorithms for analysis quantify pathomorphological immunophenotypic myocardium patients with various types grades transplant rejection. Materials methods: We studied 257 from 56 recipients at Scientific Research Institute – Ochapovsky Regional Clinical Hospital No. 1 (Krasnodar, Russian Federation). Sections were stained hematoxylin eosin. used streptavidin-biotin determine CD68 expression images measure area expression. Results: When developing specimens, we proposed new evaluation criterion: staining coefficient (%) that is ratio total section area. created field-tested morphometric assess IHC identify relative EBM specimens. Conclusions: New criteria diagnosing rejections are improve results interpretation, but can also be analyzing other
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ژورنال
عنوان ژورنال: Innovacionnaâ medicina Kubani
سال: 2023
ISSN: ['2500-0268', '2541-9897']
DOI: https://doi.org/10.35401/2541-9897-2023-26-3-31-37