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Comparison of the Hologic Genius Digital Diagnostics System With the Liquid-based Cytology (LBC) Manual Microscopy

Comparison of the Hologic Genius Digital Diagnostics System With the Liquid-based Cytology (LBC) Manual Microscopic Approach

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04965857
Enrollment
3000
Registered
2021-07-16
Start date
2021-09-01
Completion date
2023-12-31
Last updated
2023-07-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cervical Cancer Screening

Brief summary

Quality assurance of the laboratory examinations. Prospective non-interventional study with ThinPrep slides collected during the German Co-Screening Program and routinely sent to the lab to prospectively evaluate the clinical performance of the Hologic Genius Digital Cytology (DC) system vs. the liquid-based cytology (LBC) manual microscopic approach

Detailed description

The cause of cervical cancer is a persistent infection with high-risk types of human papillomavirus (HPV). Cytology has been the gold standard for cervical screening since the introduction of routine screening with the Pap test in the 1950s due to its effect on mortality in regions with screening programs. Since that time, there have been several technological advances (LBC, Imaging) to improve and automate cervical cytology, resulting in increased disease detection and efficiency. The Hologic's Genius Digital Diagnostics System is a CE-IVD (CE-marked in vitro diagnostic device) marked digital cytology platform. For quality assurance and to prospectively evaluate the Hologic Genius Digital Cytology (DC) system in the lab, selected routinely screened and already archived slides will be additionally reviewed with the liquid-based cytology (LBC) manual microscopic approach. Only anonymized results will be evaluated.

Interventions

Genius Digital Diagnostics is a digital cytology platform to combine a new artificial intelligence (AI) algorithm with advanced volumetric imaging technology to help cytotechnologists and pathologists identify pre-cancerous lesions and cancer cells in women.

Sponsors

Hologic Deutschland GmbH
Lead SponsorINDUSTRY

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
35 Years to 90 Years

Inclusion criteria

* LBC ThinPrep® samples are collected by gynaecologists and sent routinely to cytology laboratory Zotz & Klimas as part of the German Cervical cancer screening program.

Design outcomes

Primary

MeasureTime frameDescription
Sensitivity and specificity of detection of pre-cancerous lesions using Hologic Genius Digital Cytology Imaging scanner.1 yearTo demonstrate non-inferiority, the appropriate approximative one-sided 95% confidence interval for the true difference between the two approaches (Digital Cytology and Manual microscopic reading) will be constructed.

Secondary

MeasureTime frameDescription
To assess the rate of inadequate slides that cannot be read by the Hologic Genius Digital Cytology system.1 year
Change in time needed to screen 80 slides using Hologic Genius Digital Cytology Imaging scanner.1 yearTo assess the impact on the workflow of the introduction of a Digital Cytology procedure to a high-throughput screening lab in Germany.
Clinical performance of Hologic Genius Digital Cytology Imaging scanner using cells on a ThinPrep® slide.1 yearThe performance of Hologic Genius Digital Cytology Imaging scanner during cervical cancer screening (using histology as reference method) will be assessed via sensitivity, specificity, positive and negative predictive values.

Countries

Germany

Contacts

Primary ContactHenrik Griesser, Prof. Dr.
info@zotzklimas.de+49 (0)221 940 505 840

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026