CYTOREADER

AUTOMATED READING OF DUAL STAIN CYTOLOGY,STANDARDIZED AND OBJECTIVE CERVICAL CANCER SCREENING,UNLIMITED THROUGHPUT IN THE CLOUD, AI BASED IMAGE ANALYSIS,OVERCOMING LIMITS OF PAP-TESTING, CLOUD BASED WITHOUT GEOGRAPHIC LIMITS

CYTOREADER

CYTOREADER: a cloud solution for automated dual-stain cytology

CYTOREADER is a software solution which provides AI-assisted dual-stain cytology for your lab. It supports fully automatic whole-slide scanning of dual-stain glass slides using the established Nanozoomer S360. Dual-stain (p16, Ki67) liquid-based cytology CINtec® PLUS prepared with ThinPrep® or SurePath™ is reshaping cervical cancer screening by significantly increasing objectivity, sensitivity and specificity compared to conventional PAP cytology.

First of all, CYTOREADER provides scanning, management and digital archival of dual-stain slides while supervising staining and image quality automatically. But its heart is the AI-Evaluator, automatically analysing the whole slide for potential dual-stain events and potentially boosting your lab performance.

In fully automatic mode, CYTOREADER is used to ensure the diagnostic and slide-production quality of your lab. In the assisted AI mode, the evaluator picks the 30 most relevant potential dual-stain events from each slide and presents them for ultrafast diagnostics (<1 min).

CYTOREADER is new and Research use Only (RUO). Three recent studies done in collaboration with the US National Cancer Institute (NCI) and Kaiser-Permanente (US) have shown that our AI-Evaluator performed the same or better in comparison to human reading of dual-stain slides (see publications).

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3

HOSPITALS

3

EPIDEMIOLOGICAL STUDIES

4,253

PATIENTS

30

% FEWER FALSE POSITIVES THAN PAP

PRODUCT OVERVIEW

Workflow
SCANNING
QC
Diagnostics
...

Product implementations

S360
Local implementation

Scan and process cytological slides in your lab.

Gallery
Cloud implementation

Scan slides in your lab and upload them into the CYTOREADER cloud.

DS reading
External scanning and cloud

Let us scan the slides and upload them into the CYTOREADER cloud.



People

Features

Partners

Publications

  1. Wentzensen N, Lahrmann B, Clarke MA, et al: Accuracy and Efficiency of Deep-Learning–Based Automation of Dual Stain Cytology in Cervical Cancer Screening. J Natl Cancer Inst djaa066, 2020

  2. Wentzensen N , Clarke MA , Bremer R , et al. Clinical evaluation of HPV screening with p16/Ki-67 dual stain triage in a large organized cervical cancer screening program. JAMA Intern Med. 2019;179(7):881.

  3. Cuschieri K, Ronco G, Lorincz A, et al: Eurogin roadmap 2017: Triage strategies for the management of HPV-positive women in cervical screening programs. Int J Cancer, 2018

  4. Wentzensen N, Schiffman M, Palmer T, et al: Triage of HPV positive women in cervical cancer screening. J Clin Virol 76 Suppl 1:S49-s55, 2016

  5. Wentzensen N, Clarke MA, Bremer R, et al: Clinical evaluation of HPV screening with p16/Ki-67 dual stain triage in a large organized cervical cancer screening program. JAMA Internal Medicine In Press, 2019

  6. Clarke MA, Cheung LC, Castle PE, et al: Five-Year Risk of Cervical Precancer Following p16/Ki-67 Dual-Stain Triage of HPV-Positive Women. JAMA Oncol, 2018

  7. Wentzensen N, Fetterman B, Castle PE, et al: p16/Ki-67 Dual Stain Cytology for Detection of Cervical Precancer in HPV-Positive Women. J Natl Cancer Inst 107:djv257, 2015

  8. Wentzensen N, Schwartz L, Zuna RE, et al: Performance of p16/Ki-67 immunostaining to detect cervical cancer precursors in a colposcopy referral population. Clin Cancer Res 18:4154-4162, 2012

  9. Lahrmann B, Valous NA, Eisenmann U, et al: Semantic focusing allows fully automated single-layer slide scanning of cervical cytology slides. PLoS One 8:e61441, 2013

  10. Grabe N, Lahrmann B, Pommerencke T, et al: A virtual microscopy system to scan, evaluate and archive biomarker enhanced cervical cytology slides. Cell Oncol 32:109-119, 2010

  11. Conrad RD, Liu AH, Wentzensen N, et al: Cytologic patterns of cervical adenocarcinomas with emphasis on factors associated with underdiagnosis. Cancer Cytopathol 126:950-958, 2018

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CYTOREADER is part of

STCMED

Steinbeis Transfer Center for Medical Systems Biology
Steinbeis GmbH & Co KG
Heckerstr. 9
69124 Heidelberg

  • contact@stcmed.com

Commercial registration in: Stuttgart
Registration number: HRA 12480

VAT ID: DE190606404