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Enhanced Outcome Prediction in Cutaneous Squamous Cell Carcinoma Using Deep-learning and Computational Histopathology

Enhanced Outcome Prediction in Cutaneous Squamous Cell Carcinoma Using Deep-learning and Computational Histopathology

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06327971
Enrollment
300
Registered
2024-03-25
Start date
2023-10-20
Completion date
2028-10-01
Last updated
2026-04-02

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

Conditions

Squamous Cell Carcinoma of the Skin

Brief summary

Evaluate a deep-learning model trained on computational histopathology for predicting outcomes in cutaneous squamous cell carcinoma

Interventions

None listed

Sponsors

Queen Mary University of London
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Histologically-confirmed diagnosis of primary cutaneous squamous cell carcinoma

Design outcomes

Primary

MeasureTime frame
Metastasis3 years

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 3, 2026