ABSTRACT
Neural network analysis of digital copies of histological micropreparations is one of the methods used to standardize quantitative continuous data. PD-L1 (22C3) biomarker expression in metastatic non-small cell lung carcinomas without mutations in the EGFR, ALK, and ROS1 genes serves as an indication for the use of pembrolizumab for the first-line therapy. OBJECTIVE: To quantify PD-L1 biomarker expression in non-small cell lung carcinomas using the neural network analysis of digital copies of histological micropreparations. MATERIAL AND METHODS: Immunohistochemical study of PD-L1 (22C3) expression was performed on 96 non-small cell lung carcinoma biopsy specimens. The digital copies of histological micropreparations were processed by the QuPath software neural network analysis module. RESULTS: The neural network analysis module segmented tumor, stroma, and artifacts in the micropreparations, showing a sufficient level of agreement with a visual assessment. Digital image analysis quantified stained tumor cells in the high PD-L1 expression group and showed 96% agreement rate versus visual assessment. However, the group of tumors without PD-L1 expression versus visual assessment showed a low (58%) agreement rate. CONCLUSION: The neural network analysis algorithm is applicable to the study of digital copies of histological micropreparations containing tumor, stroma, and artifacts. The algorithm allows for quantitative immunohistochemical assessment of PD-L1 expression in tumor cells. The algorithm can quantify the immunohistochemically detected expression of PD-L1 in tumor cells.
Subject(s)
Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , B7-H1 Antigen , Biomarkers, Tumor , Biopsy , Humans , Neural Networks, Computer , Protein-Tyrosine Kinases , Proto-Oncogene ProteinsABSTRACT
AIM: to assess types of immune response in patients with advanced suppurative peritonitis and course of disease. MATERIAL AND METHODS: We examined 79 patients with acute surgical abdominal diseases and injuries complicated by advanced suppurative peritonitis. Blood immunological parameters were estimated using flowing cytometry and enzyme immunoassay. RESULTS: It was concluded that functional parameters of immune system are very various in patients with advanced suppurative peritonitis. Cluster analysis defined 4 immune types which are determined by different state of congenital and acquired immunity. Immunodeficient and unreactive immune types are unfavorable. Immune types with activation of congenital and acquired immunity are the most favourable. This stratification personifies diagnosis and treatment of immune disorders in patients with advanced suppurative peritonitis.
Subject(s)
Abdominal Injuries/complications , Adaptive Immunity/immunology , Gastrointestinal Diseases/complications , Peritonitis/immunology , Disease Management , Female , Humans , Immunocompetence , Male , Middle Aged , Monitoring, Immunologic/methods , Peritonitis/etiology , Peritonitis/physiopathology , Peritonitis/therapy , Reproducibility of Results , Statistics as TopicABSTRACT
Results of the treatment of generalized purulent peritonitis in 30 patients are presented. Based on the analysis of the performance of integrated assessment scales severity of the condition, the dynamics of change of bacterial contamination and microbiological landscape, and analysis of morbidity and mortality proved the effectiveness of intraperitoneal administration of the solution of dioxidin in patients with generalized purulent peritonitis.
