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Vet Pathol. 2019 May 21:300985819846874. doi: 10.1177/0300985819846874. [Epub ahead of print]

Evaluation of Region of Interest Digital Cytology Compared to Light Microscopy for Veterinary Medicine.

Author information

1
1 Lacuna Diagnostics, Inc, Fort Collins, CO, USA.
2
2 Colorado State University College of Veterinary Medicine, Fort Collins, CO, USA.
3
3 Auburn University College of Veterinary Medicine, Auburn, AL, USA.
4
4 CytoVet, PLLC, Dallas, TX, USA.
5
5 Marshfield Labs, Marshfield, WI, USA.

Abstract

Digital microscopy (DM) has been employed for primary diagnosis in human medicine and for research and teaching applications in veterinary medicine, but there are few veterinary DM validation studies. Region of interest (ROI) digital cytology is a subset of DM that uses image-stitching software to create a low-magnification image of a slide, then selected ROI at higher magnification, and stitches the images into a relatively small file of the embedded magnifications. This study evaluated the concordance of ROI-DM compared to traditional light microscopy (LM) between 2 blinded clinical pathologists. Sixty canine and feline cytology samples from a variety of anatomic sites, including 31 cases of malignant neoplasia, 15 cases of hyperplastic or benign neoplastic lesions, and 14 infectious/inflammatory lesions, were evaluated. Two separate nonblinded adjudicating clinical pathologists evaluated the reports and diagnoses and scored each paired case as fully concordant, partially concordant, or discordant. The average overall concordance (full and partial concordance) for both pathologists was 92%. Full concordance was significantly higher for malignant lesions than benign. For the 40 neoplastic lesions, ROI-DM and LM agreed on general category of tumor type in 78 of 80 cases (98%). ROI-DM cytology showed robust concordance with the current gold standard of LM cytology and is potentially a viable alternative to current LM cytology techniques.

KEYWORDS:

ROI cytology; concordance study; cytodiagnosis/veterinary; digital microscopy; digital pathology; telecytology; telemedicine; telepathology

PMID:
31113293
DOI:
10.1177/0300985819846874

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