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E-learning module for cytopathology education based on virtual microscopy.

作者信息

Cubillos Paulina, Diaz Eugenia, Báez Pablo, Gutiérrez Lorena, Molina Carla, Härtel Steffen

机构信息

Faculty of Medicine, Preventive Oncology Center, University of Chile, Quinta Normal, Chile.

Laboratory of Scientific Image Processing (SCIAN-Lab), Program for Integrative Biology (PIB), Faculty of Medicine, Institute of Biomedical Sciences (ICBM), University of Chile, Independencia, Chile.

出版信息

J Am Soc Cytopathol. 2024 Jan-Feb;13(1):42-52. doi: 10.1016/j.jasc.2023.10.002. Epub 2023 Oct 18.

Abstract

INTRODUCTION

In cytopathology education, Virtual Microscopy e-learning modules (VM-eLM) have achieved remarkable results in the improvement and personalization of learning. However, it remains to be determined whether these modules can significantly contribute to improving the accuracy of cytological diagnosis. The aim of this work was to create a VM-eLM for gynecologic cytopathology education designed to improve screening and interpretation skills in two groups of cytologists: experienced and nonexperienced.

MATERIALS AND METHODS

The module was designed in Moodle with both Whole Slide Images and Static Images taken from Papanicolaou smears that were diagnosed as: negative for intraepithelial lesion, low-grade squamous intraepithelial lesion, high-grade squamous intraepithelial lesion, squamous cell carcinoma, or adenocarcinoma. We assessed the effectiveness of the module using 1) clinical quality indicators to measure skill development and 2) a user survey.

RESULTS

After training, participants significantly improved their cytological screening skills, decreasing their false negative diagnosis by 78% in the non-experienced group and eliminating them entirely in the experienced group. Nonexperienced participants also significantly increased their recognition of low-grade squamous intraepithelial lesion and high-grade squamous intraepithelial lesion by 31% and 50%, respectively. Participants positively evaluated the module, highlighting its novelty, the possibility to train remotely, the immediate feedback and the quality of the Whole Slide Images.

CONCLUSIONS

We designed, implemented and tested a VM-eLM for Gynecologic Cytopathology Education that improved cytological screening skills for both non-experienced and experienced cytologists, also increasing the diagnostic accuracy of preinvasive lesions by less experienced cytologists. The module was positively evaluated by participants, who perceived an improvement in their interpretive skills.

摘要

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