CyTest – An Innovative Open-source Platform for Training and Testing in Cythopathology

Lianas, Luca; Piras, Marco; Musu, Elodia; Podda, Simona; Frexia, Francesca; Ovcin, E.; Bussolati, G.; Zanetti, Gianluigi

doi:10.1016/j.sbspro.2016.07.103

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…The technique now goes by her name “to pembify” (#pembify on Twitter). An innovative e-learning platform called “cyTest” is being considered in collaboration with the European Federation of Cytology Societies as the basis of a quality assurance test in Europe [9]. Recently, a low-cost whole slide imaging system has been developed as a replacement of automated scanners.…”

Section: Discussionmentioning

confidence: 99%

Smartphone-Assisted Telecytopathology: An Intraobserver Concordance Study

et al. 2020

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Introduction: Telecytology is the practice of cytology at a distance. The images captured by a camera are sent to the cytopathologist at a different location who views the images and reaches a diagnosis. Recently, smartphone-assisted telepathology has been evaluated for different subspecialities of pathology including cytology for second opinion. Materials and Methods: For the purpose of the study, a total of 151 cases of fine needle aspiration and 10 cases of urine cytology reported by a single pathologist were retrieved from the records. The images of all the cases were captured by a trained pathologist using the primary camera of a smartphone from the ocular of a binocular microscope. The images were sent by WhatsApp to the same pathologist who had made the conventional microscopy diagnosis. The images were viewed on the smartphone screen by the pathologist who replied with the diagnosis after analysing all the images with or without digital zoom. Results: A total of 154 cases out of 161 were correctly diagnosed on smartphone-assisted tele-pathology (overall intraobserver concordance of 95.6%). For head and neck swellings, the concordance was 65/70 (92.9%), for breast lesions, it was 23/24 (95.8%), and for miscellaneous swellings, it was 57/57 (100%). For urine cytology, the concordance rate was 9/10 (90%). Conclusion: Though the results of this study are encouraging, further improvement in the smartphone camera resolution and internet connectivity would enhance the utility of smartphone-assisted telecytopathology.

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Section: Discussionmentioning

confidence: 99%

Smartphone-Assisted Telecytopathology: An Intraobserver Concordance Study

et al. 2020

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“…The technical details of the VM system will be published in a separate article (under preparation) and a more detailed description is provided in the Supplementary methods. In short, the VM system is composed of two integrated components: (1) ome_seadragon 34 , a plugin for the Open Microscopy Environment Remote Objects (OMERO) platform 35 which enables viewing, handling and annotation of the 3DHistech images, and (2) the ProMort Image Management System ( https://github.com/crs4/ProMort ), a clinical annotation platform which manages the review worklist and the clinical annotation process. The ome_seadragon plugin adds Deep Zoom Image format support to the OMERO platform and enables interactive mark-up of regions of interest (ROIs) on the slide and automated measurements of marked ROIs (e.g., length or area of the ROI).…”

Section: Methodsmentioning

confidence: 99%

Interchangeability of light and virtual microscopy for histopathological evaluation of prostate cancer

Zelić

Giunchi

Lianas

et al. 2021

Sci Rep

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Virtual microscopy (VM) holds promise to reduce subjectivity as well as intra- and inter-observer variability for the histopathological evaluation of prostate cancer. We evaluated (i) the repeatability (intra-observer agreement) and reproducibility (inter-observer agreement) of the 2014 Gleason grading system and other selected features using standard light microscopy (LM) and an internally developed VM system, and (ii) the interchangeability of LM and VM. Two uro-pathologists reviewed 413 cores from 60 Swedish men diagnosed with non-metastatic prostate cancer 1998–2014. Reviewer 1 performed two reviews using both LM and VM. Reviewer 2 performed one review using both methods. The intra- and inter-observer agreement within and between LM and VM were assessed using Cohen’s kappa and Bland and Altman’s limits of agreement. We found good repeatability and reproducibility for both LM and VM, as well as interchangeability between LM and VM, for primary and secondary Gleason pattern, Gleason Grade Groups, poorly formed glands, cribriform pattern and comedonecrosis but not for the percentage of Gleason pattern 4. Our findings confirm the non-inferiority of VM compared to LM. The repeatability and reproducibility of percentage of Gleason pattern 4 was poor regardless of method used warranting further investigation and improvement before it is used in clinical practice.

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“…The slides were then reviewed by two uropathologists using the Digital Pathology Platform (DPP) (25), created by the Centre for Advanced Studies, Research and Development in Sardinia (CRS4) for the tasks of managing, examining and annotating high volumes of highresolution whole slide images (WSI) within the context of clinical research. The system, which has already been used to support other work (26) and previous studies (27), has been demonstrated to be interchangeable with light microscopy (28), and provides automated slide analysis features to improve the time and quality of image annotations (29). An overview of the analytical process using the DPP can be found in Figure 3.…”

Section: Digital Pathology Platform and Centralized Histopathological...mentioning

confidence: 99%

Cohort profile: the Turin prostate cancer prognostication (TPCP) cohort

Destefanis,

Fiano,

Milani

et al. 2023

Front. Oncol.

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IntroductionProstate cancer (PCa) is the most frequent tumor among men in Europe and has both indolent and aggressive forms. There are several treatment options, the choice of which depends on multiple factors. To further improve current prognostication models, we established the Turin Prostate Cancer Prognostication (TPCP) cohort, an Italian retrospective biopsy cohort of patients with PCa and long-term follow-up. This work presents this new cohort with its main characteristics and the distributions of some of its core variables, along with its potential contributions to PCa research.MethodsThe TPCP cohort includes consecutive non-metastatic patients with first positive biopsy for PCa performed between 2008 and 2013 at the main hospital in Turin, Italy. The follow-up ended on December 31st 2021. The primary outcome is the occurrence of metastasis; death from PCa and overall mortality are the secondary outcomes. In addition to numerous clinical variables, the study’s prognostic variables include histopathologic information assigned by a centralized uropathology review using a digital pathology software system specialized for the study of PCa, tumor DNA methylation in candidate genes, and features extracted from digitized slide images via Deep Neural Networks.ResultsThe cohort includes 891 patients followed-up for a median time of 10 years. During this period, 97 patients had progression to metastatic disease and 301 died; of these, 56 died from PCa. In total, 65.3% of the cohort has a Gleason score less than or equal to 3 + 4, and 44.5% has a clinical stage cT1. Consistent with previous studies, age and clinical stage at diagnosis are important prognostic factors: the crude cumulative incidence of metastatic disease during the 14-years of follow-up increases from 9.1% among patients younger than 64 to 16.2% for patients in the age group of 75-84, and from 6.1% for cT1 stage to 27.9% in cT3 stage.DiscussionThis study stands to be an important resource for updating existing prognostic models for PCa on an Italian cohort. In addition, the integrated collection of multi-modal data will allow development and/or validation of new models including new histopathological, digital, and molecular markers, with the goal of better directing clinical decisions to manage patients with PCa.

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CyTest – An Innovative Open-source Platform for Training and Testing in Cythopathology

Cited by 5 publications

References 9 publications

Smartphone-Assisted Telecytopathology: An Intraobserver Concordance Study

Smartphone-Assisted Telecytopathology: An Intraobserver Concordance Study

Interchangeability of light and virtual microscopy for histopathological evaluation of prostate cancer

Cohort profile: the Turin prostate cancer prognostication (TPCP) cohort

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