Application of microscope-based scanning software (Panoptiq) for the interpretation of cervicovaginal cytology specimens

Autor: Rulong Shen, Junya Fukuoka, Isao Otsuka, Kuniko Abe, Takao Nitanda, Zaibo Li, Ruben Groen, Yukiko Shimizu, Akira Yoshikawa, Han-Seung Yoon
Rok vydání: 2017
Předmět:
Zdroj: Cancer Cytopathology. 125:918-925
ISSN: 1934-662X
DOI: 10.1002/cncy.21921
Popis: BACKGROUND Digital pathology increasingly has been gaining the attention of pathologists worldwide. However, the application of digital cytology by Panoptiq (ViewsIQ, Vancouver, Canada) microscope-based scanning software is relatively unexplored. Panoptiq enables the operator to combine low-power panoramic digital images with z-stacks at regions of interest with a significantly smaller image size than that obtained by whole-slide scanning. The current study aimed to evaluate the feasibility of the use of Panoptiq in the digital interpretation of cervicovaginal cytology specimens in comparison with conventional light microscopy. METHODS A total of 100 liquid-based cytology slides were selected sequentially. The dotted slides were reviewed and scanned, in which all dotted areas were scanned further by the ×20 objective with z-stacks. The cases were reviewed by 4 pathologists and a cytotechnologist using conventional light microscopy and digital cytology images acquired by Panoptiq and interpreted based on the Bethesda classification system. The washout time was set as 3 weeks. The Cohen kappa coefficient was calculated to measure the agreement between the 2 modalities. RESULTS Digital cytology demonstrated an intermodality agreement among 3 observers who had sufficient training in digital pathology at concordance rates between 81% and 90% with kappa values between 0.76 and 0.86, whereas the other 2 observers who did not have sufficient training in digital pathology had lower agreement at a concordance rate of between 56% and 57%, with kappa values between 0.41 and 0.44. CONCLUSIONS Panoptiq appears to be feasible for the interpretation of cervicovaginal cytology specimens but requires adequate training in digital pathology. Cancer Cytopathol 2017;125:918-25. © 2017 American Cancer Society.
Databáze: OpenAIRE
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