Acne Detection Software (AcneDect)

NCT04060160 | Terminated

• 1 other identifier: 2018-00702; sp19Navarini
• Study Type: observational
• Target: 25
• Locations: 1 country
• Sites: 1

Brief Summary

This study is to create a self-learning software that can detect acne lesions. Patients take a picture of their face every single day for 3 months with a secure mobile phone and fill out a pre-designed questionnaire. After 3 months, the mobile will be collected back and the pictures will be evaluated by 3 dermatologists. The software is able to learn from the dermatologists' evaluation and -using machine learning- a mechanism that should be able to automatically detect acne to some extent will be established.

Conditions

Acne Lesions; Acne Vulgaris

Keywords

machine learning; self-learning software; image-detecting software

Outcome Measures

Primary Outcomes (1)

• Pictures to train the AcneDect software

  Collection of pictures to train the AcneDect software to detect change in acne lesions

  every single day from baseline for 3 months

Secondary Outcomes (1)

• AcneDect questionnaire regarding acne burden (Visual Analogue Scale (VAS) scale ranging from "Not bad at all" to "Very bad")

  every single day from baseline for 3 months

Interventions

Self- learning software that can detect acne lesions OTHER

Self- learning software that can detect acne lesions from patients who take a picture of their face every single day for 3 months with a secure mobile phone.

Patient reported outcomes OTHER

Collection of patient reported outcomes and clinical data via a mobile electronic case report form

Eligibility Criteria

• Age: 10 Years - 35 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64)
• Sampling Method: Probability Sample

Study Population

Patients within the consultation service of Dermatologische Klinik, Universitätsspital Basel, that meet the inclusion criteria

You may qualify if:

• Acne vulgaris

You may not qualify if:

• Refusal to participate

Sponsors & Collaborators

• University Hospital, Basel, Switzerland: lead

Study Sites (1)

Department of Dermatology, University Hospital Basel

Basel, 4031, Switzerland

Location

MeSH Terms

Conditions

Acne Vulgaris

Interventions

Patient Reported Outcome Measures

Condition Hierarchy (Ancestors)

Acneiform Eruptions; Skin Diseases; Skin and Connective Tissue Diseases; Sebaceous Gland Diseases

Intervention Hierarchy (Ancestors)

Health Care Surveys; Surveys and Questionnaires; Data Collection; Epidemiologic Methods; Investigative Techniques; Health Services Research; Health Planning; Health Care Economics and Organizations; Patient Outcome Assessment; Outcome Assessment, Health Care; Outcome and Process Assessment, Health Care; Quality of Health Care; Health Services Administration; Health Care Quality, Access, and Evaluation; Health Care Evaluation Mechanisms; Public Health; Environment and Public Health

Study Officials

• Alexander A. Navarini, Prof. Dr. MD

  Dermatologische Klinik; Universitätshospital Basel

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 15, 2019
• First Posted: August 16, 2019
• Study Start: October 29, 2020
• Primary Completion: September 30, 2024
• Study Completion: September 30, 2024
• Last Updated: January 15, 2025

Record last verified: 2025-01

Locations

CH (1)