Correlation of Dermoscopic Findings With Histopathological Features and Invasion Depth in Cutaneous Squamous Cell Carcinoma (SCC-DERM)

January 27, 2026 updated by: Selma Nur Sahin, Istanbul Training and Research Hospital

Correlation of Invasion Depth and Histopathological Features With Dermoscopic Findings in Cutaneous Squamous Cell Carcinoma

This is a retrospective study including patients diagnosed with cutaneous squamous cell carcinoma between 2016 and 2025. Demographic, clinical, histopathological, and dermoscopic data were obtained from hospital records. Dermoscopic images taken with the FotoFinder dermoscope were independently evaluated by two dermatologists in a blinded manner. In addition, images were labeled using computer software and analyzed to measure the proportion of specific dermoscopic structures within the total lesion area. These quantitative data were used to examine the relationship between dermoscopic features and histopathological findings.

Study Overview

Status

Not yet recruiting

Detailed Description

This retrospective study includes patients who were diagnosed with cutaneous squamous cell carcinoma (cSCC) and underwent total excision between 2016 and 2025 at a tertiary dermatology center. Patient data were obtained from the hospital electronic medical record system, including demographic characteristics (age, sex), clinical features (lesion location, size, and morphology), and histopathological parameters such as tumor depth of invasion and histopathological subtype.

Dermoscopic images were acquired using a FotoFinder digital dermoscope as part of routine clinical documentation prior to excision. All dermoscopic images were independently evaluated by two dermatologists who were blinded to the histopathological results. Dermoscopic features, including vascular patterns and keratin-related structures, were recorded according to predefined criteria. Interobserver agreement was assessed, and discordant evaluations were resolved by consensus.

For objective image analysis, dermoscopic images were segmented and annotated using the LabelMe software. Regions of interest corresponding to specific dermoscopic structures were manually labeled, and pixel-based quantitative measurements were extracted using computer-assisted image analysis pipelines developed in the Visual Studio Code environment. The proportional area of each dermoscopic structure relative to the total lesion surface was calculated and recorded as numerical data.

The primary objective of the study is to investigate the relationship between dermoscopic features and histopathological parameters, particularly tumor invasion depth and histopathological subtype. Secondary objectives include assessing whether quantitative dermoscopic measurements can improve the prediction of invasive behavior in cSCC.

Statistical analyses will be performed to evaluate correlations between dermoscopic variables and histopathological outcomes. Appropriate parametric or non-parametric tests will be used depending on data distribution. Multivariate analyses may be conducted to identify independent dermoscopic predictors of deeper tumor invasion. All analyses will be performed using standard statistical software.

As this is a retrospective study using existing clinical data and images, no additional interventions or patient contact are involved. All data will be anonymized prior to analysis in accordance with institutional and ethical regulations.

Study Type

Observational

Enrollment (Estimated)

238

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: AYSE ESRA KOKU AKSU, Principal Investigator
  • Phone Number: 905059126069
  • Email: esraaksu@gmail.com

Study Contact Backup

Study Locations

    • FATİH
      • Istanbul, FATİH, Turkey (Türkiye), 34098
        • University of Health Sciences, Istanbul Training and Research Hospital, Department of Dermatology

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The study population consists of adult patients aged 18 to 100 years who were diagnosed with cutaneous squamous cell carcinoma and treated with total surgical excision between 2016 and 2025. Only cases with complete clinical, dermoscopic, and histopathological records, including documented tumor differentiation and invasion depth, were included. No additional diagnostic or therapeutic procedures were performed as part of the study.

Description

Inclusion Criteria:Age between 18 and 100 years at the time of diagnosis

Histopathologically confirmed cutaneous squamous cell carcinoma

Lesions that underwent total surgical excision

Histopathology reports including both tumor differentiation grade and invasion depth

Availability of dermoscopic images obtained prior to excision

Dermoscopic images of sufficient quality for evaluation and image analysis -

Exclusion Criteria:

Lesions that received any prior treatment, including radiotherapy, chemotherapy, cryotherapy, or other destructive or topical treatments before excision

Incomplete clinical, dermoscopic, or histopathological data

Poor-quality dermoscopic images not suitable for reliable evaluation or segmentation

-

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Cutaneous Squamous Cell Carcinoma Patients
This cohort includes patients diagnosed with cutaneous squamous cell carcinoma between 2016 and 2025 who underwent total excision and had available clinical, dermoscopic, and histopathological data in hospital records. No additional interventions were performed as part of the study.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation between dermoscopic features and tumor invasion depth
Time Frame: Retrospective analysis of records from 2016 to 2025
The association between predefined dermoscopic features and histopathological tumor invasion depth will be evaluated using quantitative and qualitative dermoscopic assessments.
Retrospective analysis of records from 2016 to 2025

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

February 1, 2026

Primary Completion (Estimated)

June 1, 2026

Study Completion (Estimated)

June 1, 2026

Study Registration Dates

First Submitted

January 27, 2026

First Submitted That Met QC Criteria

January 27, 2026

First Posted (Actual)

February 3, 2026

Study Record Updates

Last Update Posted (Actual)

February 3, 2026

Last Update Submitted That Met QC Criteria

January 27, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data will not be shared due to patient confidentiality, institutional data protection policies, and the retrospective nature of the study. All analyses will be reported in aggregate form only.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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