RESUMO
Digital pathology had a recent growth, stimulated by the implementation of digital whole slide images (WSIs) in clinical practice, and the pathology field faces shortage of pathologists in the last few years. This scenario created fronts of research applying artificial intelligence (AI) to help pathologists. One of them is the automated diagnosis, helping in the clinical decision support, increasing efficiency and quality of diagnosis. However, the complexity nature of the WSIs requires special treatments to create a reliable AI model for diagnosis. Therefore, we systematically reviewed the literature to analyze and discuss all the methods and results in AI in digital pathology performed in WSIs on H&E stain, investigating the capacity of AI as a diagnostic support tool for the pathologist in the routine real-world scenario. This review analyzes 26 studies, reporting in detail all the best methods to apply AI as a diagnostic tool, as well as the main limitations, and suggests new ideas to improve the AI field in digital pathology as a whole. We hope that this study could lead to a better use of AI as a diagnostic tool in pathology, helping future researchers in the development of new studies and projects.
RESUMO
The pathology of biliary carcinomas is diverse with different gross and histological features in tumors arising in the different segments of the biliary system. Various epidemiological risk factors, varied genetic makeup, and tissue microenvironment are contributory factors. As biliary tumors have been shown to be a part of the Lynch syndrome tumor spectrum, it is plausible to speculate that DNA mismatch repair (MMR) deficiency plays a role in biliary tumors. Literature data suggest that DNA MMR deficiency indeed occurs in these tumors, albeit infrequently with the reported frequencies (weighted for sample size) of high level microsatellite instability (MSI) being 5% each for gallbladder carcinoma and carcinoma of extra-hepatic bile ducts, and 10% each for intrahepatic cholangiocarcinoma and ampullary carcinoma. Importantly, the presence of MMR deficiency in these tumors has been shown to have different implications with regard to its association with Lynch syndrome, tumor histological features, and other clinical characteristics, when compared with non-biliary tumors or among the biliary tumors from the different segments of the biliary system. Ongoing and future efforts that utilize large scale sequencing techniques and aim at detecting actionable molecular targets should emphasize a multidisciplinary approach that integrates genomic discoveries with not only functional studies but also studies of tumor pathology and the tumor's clinical and biological behavior.
