Reflectance Confocal Microscopy to Diagnose MM & LM

NCT ID: NCT03508297

Last Updated: 2021-11-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

597 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-03-14

Study Completion Date

2020-08-31

Brief Summary

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A reflectance confocal microscope is a machine which is able to examine the upper layers of the skin painlessly and without the need for taking a biopsy. We would like to examine the images taken by the confocal microscope to see if it can help more accurately identify lesions which are worrying rather than a benign mole. We are performing this study in patients in whom we have recommended excising a mole to exclude a cancer. If the results of the study show that the confocal microscope can help more accurately diagnose Melanomas then this would reduce the number of biopsies that are taken that turn out not to be cancerous (ie unnecessary biopsies).

Detailed Description

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Study Design This is an observational, non-randomised, non-controlled, prospective cohort study to look at the efficacy of in vivo RCM as a diagnostic tool in the diagnosis of MM and LM.

Study Endpoints The hypothesis of this study is that the use of RCM is would reduce the NNE prior to definitive treatment by at least 30% from the current value of approximately 10.

The secondary hypothesis is that the intra- \& inter-observer agreement for interpreting the RCM images will have kappa scores 0.6 or greater (indicating good agreement).

Setting and recruitment Patients will be recruited from the outpatient clinics of the Skin Care Network Barnet, and from the outpatient clinics of the Chase Farm and Barnet sites of Royal Free Hospital NHS Foundation Trust.

Participants The number of true negative lesions examined in this study will be 654. It is anticipated that this will result in a total of 661 lesions being recruited. 10% of participants are expected to have more than one lesion sampled.

The result of biopsy for each lesion will not be known until after the lesion has been included in the study. Therefore lesions will be added to the study until the required number of true negatives has been included.

Conditions

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Melanoma (Skin) Lentigo Maligna

Keywords

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Confocal RCM Imaging Skin cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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In-vivo imaging

Skin cancer is imaged using RCM and a diagnosis is recorded before patient is returned to standard of care (biopsy).

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Age 18 years or older
2. Patient with a pigmented lesion recommended for excision because of suspicion of MM or LM.
3. Patient willing and able to give informed consent

Exclusion Criteria

1. Recurrent MM or LM
2. Patient on immunosuppresants
3. Patient with significant co-morbidity or skin disease
4. Patient not suitable for diagnostic biopsy
5. Location of lesion unsuitable, inaccessible or impractical for scanning with RCM as determined by investigator
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Skin Care Network Ltd.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Howard Stevens, MA PhD

Role: PRINCIPAL_INVESTIGATOR

Skin Care Network Ltd.

Locations

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Skin Care Network Barnet Ltd

London, , United Kingdom

Site Status

Countries

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United Kingdom

References

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Stevens HP, Pellacani G, Angus C, El-Jabbour JN. Reflectance confocal microscopy to diagnose malignant melanoma and lentigo maligna in the UK: a single-centre prospective observational trial. Br J Dermatol. 2024 Dec 23;192(1):27-35. doi: 10.1093/bjd/ljae354.

Reference Type DERIVED
PMID: 39255055 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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HS-MAV-002

Identifier Type: -

Identifier Source: org_study_id