150 Participants Needed

Computer Image Analysis for Skin Conditions

Raja Sivamani profile photo
Overseen ByRaja Sivamani
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: Integrative Skin Science and Research
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

The study is conducted to determine if image-based computer grading can of acne, melasma, rosacea and seborrheic dermatitis correlate well to expert based clinical severity grading.

Do I need to stop my current medications for this trial?

The protocol does not specify if you need to stop your current medications.

What safety data exists for computer image analysis in skin conditions?

The safety data for computer image analysis in skin conditions can be informed by various sources. The CAPER Registry collects adverse event data from dermatologic procedures, which can help identify safety issues. Safety of dermatology treatments is assessed through clinical trials, registries, and spontaneous reporting, providing a comprehensive understanding of safety profiles. The FDA evaluates safety using data from clinical trials, postmarketing reports, and registries, and continues to develop tools for risk assessment. These sources collectively contribute to understanding the safety of treatments in dermatology, including computer image analysis.12345

Is computer image analysis a promising treatment for skin conditions?

Yes, computer image analysis is a promising treatment for skin conditions. It helps doctors diagnose skin issues like melanoma by analyzing images of the skin. This technology can detect changes in skin lesions over time, which is important for early cancer detection. It can also differentiate between benign and malignant lesions, making it a useful tool for doctors, especially those who are not experts in dermatology.678910

What data supports the idea that Computer Image Analysis for Skin Conditions (also known as: No Intervention) is an effective treatment?

The available research shows that computer image analysis for skin conditions is effective because it can predict clinical management decisions accurately. One study found that using images to predict management decisions directly was more accurate than predicting the diagnosis first. This approach also reduced unnecessary procedures by 24.56%. Another study demonstrated that digital imaging for skin cancer diagnosis had almost complete agreement with traditional clinical consultations, showing its promise in teledermatology. Additionally, a facial skin analysis system on a handheld device showed good agreement with dermatologist assessments, supporting its potential use in clinical settings.1112131415

Who Is on the Research Team?

Raja Sivamani - Pacific Skin Institute

Raja Sivamani

Principal Investigator

Integrative Skin and Research

Are You a Good Fit for This Trial?

This trial is for adults with acne, rosacea, melasma, or seborrheic dermatitis. Participants must be able to give consent and should not have facial markings like piercings or tattoos that could affect the imaging process on the day of facial photography.

Inclusion Criteria

I have acne, rosacea, melasma, or seborrheic dermatitis.

Exclusion Criteria

I am unable to give consent for medical procedures.
Artificial facial markings on day of facial photography (such as piercings and tattoos) that may interfere with imaging in the opinion of the investigator
Prisoners

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Baseline Assessment

Image-based computer grading and clinical severity grading are conducted for acne, rosacea, melasma, and seborrheic dermatitis

1 day
1 visit (in-person)

Follow-up

Participants are monitored for any changes or reactions post-assessment

4 weeks

What Are the Treatments Tested in This Trial?

Interventions

  • No Intervention
Trial Overview The study aims to see if computer-based image grading can accurately assess the severity of skin conditions such as acne, melasma, rosacea, and seborrheic dermatitis compared to expert clinical evaluations.
How Is the Trial Designed?
4Treatment groups
Experimental Treatment
Group I: Seborrheic DermatitisExperimental Treatment1 Intervention
Group II: RosaceaExperimental Treatment1 Intervention
Group III: MelasmaExperimental Treatment1 Intervention
Group IV: Acne vulgarisExperimental Treatment1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

Integrative Skin Science and Research

Lead Sponsor

Trials
33
Recruited
2,000+

Codex Labs

Collaborator

Trials
2
Recruited
190+

Published Research Related to This Trial

The study involved 30 general practitioners and analyzed 981 digital images of skin lesions, finding that teledermatology was feasible and well-received by GPs, with 77.8% reporting no issues with the process.
However, the diagnostic accuracy raised concerns, as 45.3% of biopsies from the highest risk category (category 3) confirmed malignancy, suggesting potential risks of missed skin cancer cases when relying solely on teledermatology for diagnosis.
Feasibility and diagnostic accuracy of teledermatology in Swiss primary care: process analysis of a randomized controlled trial.Tandjung, R., Badertscher, N., Kleiner, N., et al.[2015]
A new automated machine learning approach can directly predict clinical management decisions for skin lesions from images, achieving higher accuracy than traditional methods that first predict the diagnosis before inferring management.
This direct prediction method significantly reduces the rate of unnecessary excisions by 24.56%, and when combined with additional criteria for skin lesions, it further improves accuracy in management predictions.
Predicting the clinical management of skin lesions using deep learning.Abhishek, K., Kawahara, J., Hamarneh, G.[2021]
A study involving 12 patients and 13 skin lesions demonstrated that digital image consultations for teledermatology can achieve almost complete agreement in diagnosis and biopsy recommendations compared to traditional clinic-based consultations.
The findings suggest that using inexpensive, off-the-shelf equipment for digital imaging in teledermatology is a promising approach, as it allows dermatologists to accurately assess skin lesions remotely.
A pilot trial of digital imaging in skin cancer.Whited, JD., Mills, BJ., Hall, RP., et al.[2017]

Citations

Feasibility and diagnostic accuracy of teledermatology in Swiss primary care: process analysis of a randomized controlled trial. [2015]
Predicting the clinical management of skin lesions using deep learning. [2021]
A pilot trial of digital imaging in skin cancer. [2017]
Automated detection of nonmelanoma skin cancer using digital images: a systematic review. [2020]
Initial validation of a new device for facial skin analysis. [2022]
How is safety of dermatology drugs assessed: trials, registries, and spontaneous reporting. [2021]
Detecting adverse events in dermatologic surgery. [2019]
Finding, evaluating, and managing drug-related risks: approaches taken by the US Food and Drug Administration (FDA). [2009]
The Cutaneous Procedures Adverse Events Reporting (CAPER) Registry. [2022]
10.United Statespubmed.ncbi.nlm.nih.gov
Recommended Diagnostic Approach to Documenting and Reporting Skin Findings of Nonhuman Primates from Regulatory Toxicity Studies. [2018]
Development and Narrow Validation of Computer Vision Approach to Facilitate Assessment of Change in Pigmented Cutaneous Lesions. [2023]
An open Internet platform to distributed image processing applied to dermoscopy. [2007]
13.Korea (South)pubmed.ncbi.nlm.nih.gov
Differentiation of benign pigmented skin lesions with the aid of computer image analysis: a novel approach. [2021]
14.United Statespubmed.ncbi.nlm.nih.gov
A possible new tool for clinical diagnosis of melanoma: the computer. [2019]
Results obtained by using a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma. [2019]
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