title: Accuracy of a remote quantitative image analysis in the whole slide images.
abstract: The rationale for choosing a remote quantitative method supporting a diagnostic decision requires some empirical studies and knowledge on scenarios including valid telepathology standards. The tumours of the central nervous system [CNS] are graded on the base of the morphological features and the Ki-67 labelling Index [Ki-67 LI]. Various methods have been applied for Ki-67 LI estimation. Recently we have introduced the Computerized Analysis of Medical Images [CAMI] software for an automated Ki-67 LI counting in the digital images. Aims of our study was to explore the accuracy and reliability of a remote assessment of Ki-67 LI with CAMI software applied to the whole slide images [WSI]. The WSI representing CNS tumours: 18 meningiomas and 10 oligodendrogliomas were stored on the server of the Warsaw University of Technology. The digital copies of entire glass slides were created automatically by the Aperio ScanScope CS with objective 20x or 40x. Aperio's Image Scope software provided functionality for a remote viewing of WSI. The Ki-67 LI assessment was carried on within 2 out of 20 selected fields of view (objective 40x) representing the highest labelling areas in each WSI. The Ki-67 LI counting was performed by 3 various methods: 1) the manual reading in the light microscope - LM, 2) the automated counting with CAMI software on the digital images - DI , and 3) the remote quantitation on the WSIs - as WSI method. The quality of WSIs and technical efficiency of the on-line system were analysed. The comparative statistical analysis was performed for the results obtained by 3 methods of Ki-67 LI counting. The preliminary analysis showed that in 18% of WSI the results of Ki-67 LI differed from those obtained in other 2 methods of counting when the quality of the glass slides was below the standard range. The results of our investigations indicate that the remote automated Ki-67 LI analysis performed with the CAMI algorithm on the whole slide images of meningiomas and oligodendrogliomas could be successfully used as an alternative method to the manual reading as well as to the digital images quantitation with CAMI software. According to our observation a need of a remote supervision/consultation and training for the effective use of remote quantitative analysis of WSI is necessary.
authors.affiliation: Military Institute of Medicine, Department of Pathology, Warsaw, Poland. joanslo@wp.pl
authors.forename: Janina
authors.initials: J
authors.lastname: Słodkowska
authors.forename: Tomasz
authors.initials: T
authors.lastname: Markiewicz
authors.forename: Bartłomiej
authors.initials: B
authors.lastname: Grala
authors.forename: Wojciech
authors.initials: W
authors.lastname: Kozłowski
authors.forename: Wielisław
authors.initials: W
authors.lastname: Papierz
authors.forename: Katarzyna
authors.initials: K
authors.lastname: Pleskacz
authors.forename: Piotr
authors.initials: P
authors.lastname: Murawski
mesh_terms: D001932:Brain Neoplasms / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019394:Ki-67 Antigen / Q000032:analysis; D009862:Online Systems; D015203:Reproducibility of Results; D012984:Software; D019113:Telepathology / Q000379:methods*
chemical_list: D019394:Ki-67 Antigen