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Dataset Information

Operational classification of cutaneous squamous cell carcinomas based on unsupervised clustering of real cases by experts.


ABSTRACT:

Background

There is currently no staging system for cutaneous squamous cell carcinoma (cSCC) that is adapted to decision-making and universally used. Experts have unconscious ability to simplify the heterogeneity of clinical situations into a few relevant groups to drive their therapeutic decisions. Therefore, we have used unsupervised clustering of real cases by experts to generate an operational classification of cSCCs, an approach that was successful for basal cell carcinomas.

Objectives

To generate a consensual and operational classification of cSCCs.

Methods

Unsupervised independent clustering of 248 cases of cSCCs considered difficult-to-treat. Eighteen international experts from different specialties classified these cases into what they considered homogeneous

SUBMITTER: Gaudy-Marqueste C 

PROVIDER: S-EPMC11851250 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature