Validation of cytopathology specimens for digital pathology

Author:

Miguel Renata1,Gregorio Bianca1,Santos Carolina1,Andriotti Carolina1,Valle Luciane1,Saieg Mauro12

Affiliation:

1. Fleury Group São Paulo Brazil

2. Santa Casa Medical School São Paulo Brazil

Abstract

AbstractIntroductionDigital cytopathology is being progressively implemented in centres worldwide, but impediments such as the three‐dimensionality of specimens and the size of scanned images have prevented its use from becoming widespread. This study aimed to validate the use of digital whole slide image scanning of cytopathology samples for routine sign‐out.MethodsSpecimens were scanned using the Leica Aperio GT 450 System. The following sample types were used: liquid‐based cytology, direct conventional smears from fine needle aspirates and cytospins. Cases were validated by the same pathologist who originally rendered the conventional diagnosis, with a washout of at least 3 months. Final digital diagnoses were compared to the original analogical diagnoses, and cases were considered concordant up to a one‐degree difference between the original and digital diagnoses. Reasons for the unsuccessful scanning of slides were also noted. The technical procedures followed the College of American Pathologists’ guidelines for digital pathology validation.ResultsA total of 730 slides from 383 cases (337 female, 51 male; median age 42) were successfully scanned. These cases consisted of the following sample types: 81 (21.1%) conventional smears, 240 (62.7%) liquid‐based cytology samples and 62 (16.2%) cytospins. There were only five discordant cases, with a 98.7% agreement between original and digital diagnoses using the difference rate of up to one degree. Seventy‐seven slides (10.5%) had to be rescanned due to technical problems. The main reasons for unsuccessful scanning were paucicellular samples (44; 57.1%), the thickness of the smears (18; 23.4%) and issues with the coverslip (15; 19.5%).ConclusionCytological specimens can be successfully scanned and used for digital pathology, with excellent agreement with the original diagnoses.

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

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