Ruben Groen1,2, Kuniko Abe1, Han-Seung Yoon1, Zaibo Li3, Rulong Shen3, Akira Yoshikawa1, Takao Nitanda1, Yukiko Shimizu4, Isao Otsuka2, Junya Fukuoka1,2. 1. Nagasaki Educational and Diagnostic Center of Pathology, Nagasaki University Hospital, Nagasaki, Japan. 2. Department of Pathology, Kameda Medical Center, Kamogawa, Chiba, Japan. 3. The Ohio State University Wexner Medical Center, Columbus, Ohio. 4. Department of Obstetrics and Gynecology, Kameda Medical Center, Kamogawa, Chiba, Japan.
Abstract
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.
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.
Authors: Matthew G Hanna; Orly Ardon; Victor E Reuter; Sahussapont Joseph Sirintrapun; Christine England; David S Klimstra; Meera R Hameed Journal: Mod Pathol Date: 2021-10-01 Impact factor: 7.842
Authors: Abeer M Salama; Matthew G Hanna; Dilip Giri; Brie Kezlarian; Marc-Henri Jean; Oscar Lin; Christina Vallejo; Edi Brogi; Marcia Edelweiss Journal: Mod Pathol Date: 2021-09-13 Impact factor: 7.842