Dermoscopy Augmented Histology Trial, a Randomized Controlled Trial (DAHT-RCT)

June 14, 2024 updated by: Louisa Bønløkke Nervil, Herlev Hospital

Correlation Between Online Case-based Training of Pathologists in Dermoscopic Images and Diagnostic Accuracy in Histopathological Interpretation of Skin Lesions Suspicious of Melanoma

Pathologists provide the current gold standard in skin lesion diagnostics, most often primarily based on the interpretation of histological slides. Still, it has been suggested that pathologists' diagnostic accuracy and confidence could be improved if they gained access to additional clinical information and in-vivo clinical and dermoscopic images of melanocytic tumors. This study examines the effect of digital training for pathologists in interpreting dermoscopic and clinical skin tumor images.

Aim:

To examine how case-based online training in interpreting clinical and dermoscopic images affects a pathologist's ability to diagnose skin tumors.

Data collection of DAHT cases: Department of plastic surgery, Herlev hospital, year 2020-2021,

DAHT platform: Made in 2021-2023 by Melatech,

Consensus agreement: Four dermatopathologists assess all DAHT cases, year 2023-2024

Enrollment of pathologists: Randomization and assessment DAHT cases, year 2025.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

Background Several publications suggest that the increasing melanoma incidence may partly be caused by histopathological overdiagnosis. Pathologists provide the current gold standard in skin lesion diagnostics, most often primarily based on the interpretation of histological slides. Still, it has been suggested that pathologists' diagnostic accuracy and confidence could be improved if they gained access to additional clinical information and in-vivo clinical and dermoscopic images of melanocytic tumors. However, it can be challenging to interpret clinical and dermoscopic images, and mastery typically requires more than six years of clinical experience. This learning journey can be significantly shortened if the trainee receives comprehensive training in pattern recognition for dermoscopy and clinical images, including immediate, accurate, and individualized feedback and access to a library with a large selection of skin lesion cases. This study examines the effect of digital training for pathologists in interpreting dermoscopic and clinical skin tumor images.

Former studies have only focused on melanocytic lesions. Still, most pathologists will receive both melanocytic and pigmented non-melanocytic lesions (seborrheic keratoses, dermatofibromas, etc.) due to clinical suspicion of melanoma. This study includes an un-filtered selection of 211 clinically melanoma-suspect skin lesions excised at a specialized surgical department; this material is named the DAHT cases.

Aim:

To examine how case-based online training in interpreting clinical and dermoscopic images affects a pathologist's ability to diagnose skin tumors.

Method Case Database

Lesion data were collected from patients between 02.11.2020 and 22.01.2021 at the Department of Plastic Surgery, Herlev Hospital. Requirements for eligibility for the current study are:

The patient was referred through the clinical cancer pathways for melanoma. The lesion was excised upon evaluation by the plastic surgeon.

Patients received oral and written information about the project and were asked to sign a consent form before participation. The participation did not affect the included patients' treatment, diagnostics, or follow-up. Upon consent, the following information was collected for each lesion:

Clinical image Dermoscopic image Patients´ CPR-number (personal ID-number) Sex and age of the patient Location of skin tumor (on a 3D avatar) Medical history (former treatment, congenital nevi, if pregnant, time of appearance of skin lesion, change in appearance, symptoms, former melanoma or other skin diseases, family history of melanoma, sun exposure within the last six months)

After excision, the specimen was prepared for pathological examination and a representative hematoxylin-eosin stain and, if available, a MelanA stain for each skin lesion was chosen for the study by an experienced dermatopathologist. These stains were subsequently digitized and coupled with the relevant information (dermoscopic and clinical image, tumor location, sex, age, lesion information, etc.). The CPR number was deleted, rendering the case anonymous. Each case is stored in a database under a random anonymous ID number.

Web-based IT platform

To maximize the number of pathologists that can be included in the study, the investigators have developed an IT platform for the trial (The DAHT platform). The platform enables the following features:

Sign-in Automated randomization Login Case presentation Diagnosis of cases and subquestions Tracking

The diagnostic options will be based on the standardized MPATH-Dx version 2.0 with additional non-melanocytic options based on the most common diagnoses to be excised due to suspicion of malignancy. After diagnosing the lesion, participating pathologists will rate their confidence and difficulty in the chosen diagnosis on a 6-step Likert scale similar to the one used in the MPATH-Dx system. They will also be asked whether they want a second opinion, if they need additional stains or tests, and which tests/stains. All cases will be presented in a randomized order unique to each participant.

The tracking feature will enable search pattern analysis, including time per diagnosis and percentage of time spent looking at the histology stain, dermoscopic image, clinical image, and clinical information.

Executive phase

General pathologists and dermatopathologists from Denmark, Australia, and other countries will be enrolled between 1.09.2023 and 1.12.2023. All participants will be sent an email informing them about the trial and the handling of their data before signing a digital consent. Upon inclusion, each enrolled pathologist will be asked to fill out a digital sign-in form with the following variables:

Name E-mail address (including verification) Age Sex Country Subspecialization (general pathologist or dermatopathologist) Number of years interpreting skin lesions Caseload from melanocytic lesions per month Percentage of caseload from melanocytic lesions Number of second opinion assessments per month Number of second opinion referrals per month Former training in dermoscopy (yes/no) Perceived relevance of dermoscopic images during histopathological evaluation on a 5-step Likert scale Routine with the use of digitized slides

Following the sign-in, all participants will be asked to answer a dermoscopy test consisting of 25 formerly validated test items. They will automatically be randomized (allocation ratio 1:1) to either the intervention or control group. Participants in the intervention group will receive immediate access to a previously developed digital (tablet or smartphone) educational platform for the dermoscopy of melanocytic lesions, watch educational videos on the correlation between dermoscopy and histology, and then answer the dermoscopy test again before diagnosing the lesions in this study. Participants in the control group will not be given access to the learning intervention but will diagnose the lesions from this study immediately after signing up and taking the dermoscopy test. Each participant will be asked to assess a minimum of 50 cases within 21 days, preferably all 211 cases.

Statistics:

The accuracy will be measured as the number of correct answers (validated by a former DAHT study: AISC-DAHT, consensus agreement) divided by the total number of answers. Inter-rater reliability will be measured using generalizability theory that allows calculations in nested and unbalanced designs. Mean time spent per diagnosis, perceived difficulty, and diagnostic confidence during the evaluation will be compared between the study groups using independent t-tests. A post hoc ANOVA will compare the time spent per diagnosis and the confidence of pathologists grouped by time spent training in dermoscopy.

Study Type

Interventional

Enrollment (Estimated)

300

Phase

  • Not Applicable

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

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Pathologists are required to evaluate melanocytic lesions routinely
  • Doctors must be registered authorized health personnel
  • Access to a smartphone/tablet/computer with internet

Exclusion Criteria:

- Assessment of less than 50 DAHT cases

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

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Intervention
Access to DermLoop Learn IT platform
DermLoop Learn is our AI-augmented digital educational platform with case training on a library of 18,000+ benign and malignant skin lesions, educational videos on the correlation between dermoscopy and histology, as well as written learning modules for the most common skin lesion diagnosis. The education platform will give the user feedback on the image-based case training in dermoscopic diagnostic accuracy and adjust the cases depending on the user's progression.
No Intervention: Control group
No access to DermLoop Learn

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic value
Time Frame: 1 month
Diagnostic accuracy according to specific diagnoses and sensitivity and specificity according to correct classification of malignant vs. benign lesions
1 month

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Inter-rater reliability
Time Frame: 1 month
comparison of diagnosis between participants
1 month
time/case
Time Frame: 1 month
Average time spent on each case
1 month
Average time spent on each image
Time Frame: 1 month
Average time spent looking at the clinical image, dermoscopic image and histopathological image
1 month
use of clinical information
Time Frame: 1 month
Whether the participants use the clinical information and when they decide to do so (before/after looking at the images)
1 month
Self-rated diagnostic confidence
Time Frame: 1 month
participants average self-rated confidence on the cases
1 month
Perceived diagnostic difficulty
Time Frame: 1 month
participants average perceived diagnostic difficulty on the cases
1 month
Dermoscopy test results
Time Frame: 1 month
Difference between pre and post-dermoscopy tests
1 month
Second opinion
Time Frame: 1 month
Number of requested second opinions and the underlying reason
1 month
Needs for stains
Time Frame: 1 month
Needs for additional stains, including which stains
1 month
Needs for tests
Time Frame: 1 month
Needs for additional tests (NGS, etc.), including which tests
1 month
training time vs time spent/DAHT case
Time Frame: 1 month
Correlation between time spent training and time spent diagnosing DAHT cases.
1 month
MPATH-Dx specificity
Time Frame: 1 month
Specificity according to MPATH-Dx classifications
1 month
MPATH-Dx sensitivity
Time Frame: 1 month
Sensitivity according to MPATH-Dx classifications
1 month

Collaborators and Investigators

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

Sponsor

Investigators

  • Study Chair: Louisa Bønløkke Nervil, Herlev Hospital, Denmark - Department of plastic surgery

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

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)

April 1, 2025

Primary Completion (Estimated)

December 1, 2025

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

July 6, 2021

First Submitted That Met QC Criteria

August 9, 2021

First Posted (Actual)

August 13, 2021

Study Record Updates

Last Update Posted (Actual)

June 17, 2024

Last Update Submitted That Met QC Criteria

June 14, 2024

Last Verified

June 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • AISC-DAHT, RCT

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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