Utilizing the open-source programming language Python to create interactive Quality Assurance dashboards for diagnostic and screening performance in Cytology.

Introduction: Effective feedback on cytology performance relies on navigating complex laboratory information system data, which is prone to errors and lacks flexibility. As a comprehensive solution, we used the Python programming language to create a dashboard application for screening and diagnostic quality metrics.

Materials And Methods: Data from the 5-year period (2018-2022) were accessed.

[Endoscopic removal of middle ear haemangioma and review of the literature].

The endoscopic middle ear surgery as a new technique has been introduced during the past few years in our country and it is available in only a few hospitals. Beyond the lack of external incision, endoscopic transcanal approach provides wide field of view to previously hidden middle ear spaces compared to the traditional microscopic technique. In this case report, we present an endoscopic surgery of middle ear capillary haemangioma that is a rare entity in tympanic cavity, therefore little has been published in the literature.

Differential biomarker expression in head and neck cancer correlates with anatomical localization.

We tested the expression of known (p16(ink4), Ki67, p53, EGFR) and a new immunohistochemical (collagen XVII/BP180) biomarker in head and neck squamous cell carcinomas (SCC) of diverse anatomical localization. Tissue microarrays (TMA) of 124 SCC were created, immunostained, and analyzed following whole slide digitalization using the Pannoramic Scan and the TMA Module software (3DHISTECH Kft, Budapest, Hungary). Statistical analysis of scoring results was carried out using Pearson's chi-square test.