Davut Sahin1, Uguray Payam Hacisalihoglu2, Saime Hale Kirimlioglu3. 1. Department of Pathology, Acibadem Health Group, Istanbul, Turkey. 2. Department of Pathology, Ozel Gaziosmanpasa Hospital, Yeni Yuzyıl University, Istanbul, Turkey. 3. Acibadem University Medical Faculty Istanbul, Turkey.
Abstract
INTRODUCTION: This study aimed to discuss smartphone usage in telecytology and determine intraobserver concordance between microscopic cytopathological diagnoses and diagnoses derived via static smartphone images. METHODS: The study was conducted with 172 cytologic material. A pathologist captured static images of the cytology slides from the ocular lens of a microscope using a smartphone. The images were transferred via WhatsApp® to a cytopathologist working in another center who made all the microscopic cytopathological diagnoses 5-27 months ago. The cytopathologist diagnosed images on a smartphone without knowledge of their previous microscopic diagnoses. The Kappa agreement between microscopic cytopathological diagnoses and smartphone image diagnoses was determined. RESULTS: The average image capturing, transfer, and remote cytopathological diagnostic time for one case was 6.20 minutes. The percentage of cases whose microscopic and smartphone image diagnoses were concordant was 84.30%, and the percentage of those whose diagnoses were discordant was 15.69%. The highest Kappa agreement was observed in endoscopic ultrasound-guided fine needle aspiration (1.000), and the lowest agreement was observed in urine cytology (0.665). Patient management changed with smart phone image diagnoses at 11.04%. CONCLUSIONS: This study showed that easy, fast, and high-quality image capturing and transfer is possible from cytology slides using smartphones. The intraobserver Kappa agreement between the microscopic cytopathological diagnoses and remote smartphone image diagnoses was high. It was found that remote diagnosis due to difficulties in telecytology might change patient management. The developments in the smartphone camera technology and transfer software make them efficient telepathology and telecytology tools.
INTRODUCTION: This study aimed to discuss smartphone usage in telecytology and determine intraobserver concordance between microscopic cytopathological diagnoses and diagnoses derived via static smartphone images. METHODS: The study was conducted with 172 cytologic material. A pathologist captured static images of the cytology slides from the ocular lens of a microscope using a smartphone. The images were transferred via WhatsApp® to a cytopathologist working in another center who made all the microscopic cytopathological diagnoses 5-27 months ago. The cytopathologist diagnosed images on a smartphone without knowledge of their previous microscopic diagnoses. The Kappa agreement between microscopic cytopathological diagnoses and smartphone image diagnoses was determined. RESULTS: The average image capturing, transfer, and remote cytopathological diagnostic time for one case was 6.20 minutes. The percentage of cases whose microscopic and smartphone image diagnoses were concordant was 84.30%, and the percentage of those whose diagnoses were discordant was 15.69%. The highest Kappa agreement was observed in endoscopic ultrasound-guided fine needle aspiration (1.000), and the lowest agreement was observed in urine cytology (0.665). Patient management changed with smart phone image diagnoses at 11.04%. CONCLUSIONS: This study showed that easy, fast, and high-quality image capturing and transfer is possible from cytology slides using smartphones. The intraobserver Kappa agreement between the microscopic cytopathological diagnoses and remote smartphone image diagnoses was high. It was found that remote diagnosis due to difficulties in telecytology might change patient management. The developments in the smartphone camera technology and transfer software make them efficient telepathology and telecytology tools.
Authors: Rachel Blue; Andrew I Yang; Cecilia Zhou; Emma De Ravin; Clare W Teng; Gabriel R Arguelles; Vincent Huang; Connor Wathen; Stephen P Miranda; Paul Marcotte; Neil R Malhotra; William C Welch; John Y K Lee Journal: World Neurosurg Date: 2020-05-16 Impact factor: 2.104
Authors: Andrea H Rossman; Hadley W Reid; Michelle M Pieters; Cecelia Mizelle; Megan von Isenburg; Nimmi Ramanujam; Megan J Huchko; Lavanya Vasudevan Journal: J Med Internet Res Date: 2021-05-27 Impact factor: 5.428