Implementation of Videos Captured by Static Telecytological Applications for Obtaining Expert Opinions

Implementation of Videos Captured by Static Telecytological Applications for Obtaining Expert Opinions

Stavros K. Archondakis, Ourania S. Oustampasidou
Copyright: © 2022 |Pages: 12
DOI: 10.4018/978-1-7998-9198-7.ch015
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Abstract

Published studies compare static and dynamic telecytology systems. Still, no study has focused on implementing short videos captured by static telecytology stations for telemedical applications. The chapter aims to evaluate the diagnostic reproducibility of telecytology in thyroid fine-needle aspiration specimens prepared using liquid-based cytology among four cytopathologists using representative short duration videos captured by a static telecytology station. It also examines the agreement between the contributor's and the reviewer's diagnoses.
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Introduction

Modern cytopathology laboratories have to provide results of high quality and credibility. Cytopathology laboratories wishing to achieve an automated and seamless workflow process, diminish turnaround times and improve their diagnostic accuracy have successfully adopted information technologies and automation. New types of cameras and microscopes connected to computers made possible image capture and transmission (telecytology) (Archondakis et al., 2009; Archondakis, 2013; Archondakis, 2014; Archondakis et al., 2014; Archondakis, 2015; Archondakis et al., 2016; Archondakis et al., 2019; Archondakis, 2020; Archondakis et al., 2021; Archondakis, 2021; Chantziantoniou et al., 2017; Yao et al., 2018).

Telecytological diagnoses should be as reliable as those made using conventional microscopy. The purpose of the adopted program should be to ensure that microscopic (cytological) findings are correctly identified and interpreted by laboratory personnel (Archondakis et al., 2009; Archondakis, 2013; Archondakis, 2014; Archondakis et al., 2014; Archondakis, 2015; Archondakis et al., 2016; Archondakis et al., 2019; Archondakis, 2020; Archondakis et al., 2021; Archondakis, 2021; Caron et al., 2019; Yao et al., 2018).

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