Description
Abstract
This meta-narrative review examines the integration of digital pathology, or whole-slide imaging (WSI), with existing and emerging technologies, particularly traditional pathology of glass slides and artificial intelligence (AI), to improve outcomes in cytopathology laboratories. The review includes a total of 14 peer-reviewed articles published between 2020-2025. The primary goal of this meta- narrative review is to identify and maximize optimal methodologies that enhance cytopathology laboratory results partnered with WSI. Key areas of focus include diagnostic accuracy, turnaround time and cost-effectiveness. Findings indicate that the combination of WSI and AI enhances diagnostic precision, streamlines laboratory workflows, and facilitates remote collaboration benefits that are especially pronounced in oncologic diagnostics. Furthermore, WSI supports remote diagnosis and advance education training. However, high implementation costs and technological disparities remain significant barriers for smaller or resource-limited laboratories. This review highlights the transformative potential of WSI in cytopathology and underscores the need for standardized protocols to promote equitable access and consistent diagnostic practices across diverse healthcare settings.
DOI
https://doi.org/10.52519/00226
Publication Date
Spring 2025
City
Houston, Texas
Keywords
Cytology, Cytopathology, Digital Pathology, Whole-Slide Imaging
Recommended Citation
Akindele, Yetunde Omo; Bruner, Christin Allyson; Nguyen, Tran Thuy Truc; Prudot Gonzalez, Emily Melissa; and Whitaker, Leslie, "A Meta-Narrative Review: Maximizing Optimal Methodologies and Strategies for Cytopathology Lab Results with Whole Slide Imaging" (2025). Research Methods Poster Session 2025. 11.
doi:https://doi.org/10.52519/00226
