Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04576416 |
Other study ID # |
AISC-GP |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
November 1, 2021 |
Est. completion date |
January 31, 2022 |
Study information
Verified date |
July 2023 |
Source |
Herlev Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Background:
The worldwide incidence of skin cancer has been rising for 50 years, in particular the
incidence of malignant melanoma has increased approx. 2-7% annually and is the most common
cancer amongst Danes aged 15-34. Currently there is a significant amount of misdiagnosis of
skin cancer and mole cancer. Our aim is to improve general practitioners' diagnostic skills
and accuracy of skin and mole cancer.
Research questions:
In a population of Danish General Practitioners (GPs) what is the dose/response effect of
hours spent with an educational platform that offers AI augmented training and clinical
feedback on their diagnostic accuracy and accurate clinical management (treatment, dismissal,
referral)? Does access to an educational platform that offers AI augmented training and
clinical feedback increase the number of malignant skin lesions referred by Danish GPs
without simultaneously increasing the number of incorrect benign referrals? Can the
participating GPs clinical accuracy be predicted from the MCQ-score by comparing their quiz
answers and diagnostic accuracy on their registered lesions with their score on the MCQ?
Method:
90 Danish GPs will at baseline, 1 month and end of trial answer a Multiple Choice
Questionnaire (MCQ). There is no change to current clinical practice, but all participating
doctors will be asked to register a clinical picture and a dermoscopic image as well as basic
information about the lesion and patient (age, gender, location and diagnosis) of all skin
lesions examined due to a suspicion for non-melanoma or melanoma skin cancer, raised by the
GP or patient.
GPs in the intervention group are besides the registration application (R-app) given access
to an AI augmented training and clinical feedback through an educational smartphone app
(E-app). Within the E-app the doctor can access quizzes on a library of 10,000+ skin lesions,
written articles about the 40 most common skin lesions, and a clinical feedback module that
gives the GP feedback on their registered skin lesions.
Feedback on skin lesions with the registered clinical management of referred/excised/biopsied
will be provided continuously by independent experts in skin cancer diagnostics (>10 years of
experience) through a web-based review system developed by our group. Feedback on the
remaining registered cases are withheld until the end of the study period. This is done to
simulate a realistic clinical setting during the study.
Description:
Statistics and Results Using data from the E-app, scores on the MCQs and the diagnostic
accuracy of the GP's a dose/response relationship is calculated, in order to answer the
research questions posed above.
Aim The aim of this project is to investigate the dose/response effect on GPs' proficiency
from AI augmented training and clinical feedback in skin cancer diagnostics. This project
will examine how much training is needed before the GPs' ability to diagnose and correctly
refer skin cancer is affected.
Research Questions In a population of Danish GPs what is the dose/response effect of hours
spent with an educational platform that offers AI augmented training and clinical feedback on
their diagnostic accuracy and accurate clinical management (treatment, dismissal, referral)?
Does access to an educational platform that offers AI augmented training and clinical
feedback increase the number of malignant skin lesions referred by Danish general
practitioners without simultaneously increasing the number of incorrect benign referrals? Can
the participating GPs clinical accuracy be predicted from the MCQ-score by comparing their
quiz answers and diagnostic accuracy on their registered lesions with their score on the MCQ?
Design This stratified superiority RCT will include 90 GPs in Denmark. The study period is
five months. Three months of active intervention, then two months of post intervention
observation period.
Participating GPs must give signed consent before receiving a short introductory course
regarding the use of hard- and software. They are then asked to complete a short
questionnaire regarding the use of the platform as well as completing a proficiency test
using a multiple choice questionnaire (MCQ) at baseline and again after 1 and 3. The MCQ
consists of 12 skin lesion cases randomly sampled from a test library developed and validated
by our research group.
Stratification and randomization:
Eligible participants will be stratified based on gender, results on the pre-test, age, type
of clinic and self-reported years of experience diagnosing skin lesions, before being
randomized (allocation ratio 3:1) into either the intervention or control group. Intervention
All participating doctors will be asked to register all skin lesions examined due to a
suspicion for non-melanoma or melanoma skin cancer, raised by the GP or patient, throughout
the study period (Figure 2). Skin lesions will be registered using the R-app that enables
photo acquisition and registration of: patient social security number (CPR), location of
lesion, tentative diagnosis and chosen clinical action (referral, excision, monitoring, none)
ect.
The intervention consists of AI augmented training and clinical feedback through an
educational smartphone app (E-app), whilst the control group registers the lesions but
otherwise continues its standard clinical practice.
The E-app has two modules:
The training module includes AI enhanced case training on a library of 10,000+ benign and
malignant skin lesion cases each coupled to written learning modules. Clinical feedback
module gives the user diagnostic feedback on all cases registered in the registration module.
Feedback during the trial will be based on either histopathology or the consensus agreement
of domain experts (if no biopsy is taken). Feedback on referred or dismissed skin lesions
will be provided by independent experts in skin cancer diagnostics ( >10 years of experience)
through a web-based review system developed by our group. Statistics The mean improvement in
clinical and MCQ-tested diagnostic accuracy measured will be compared between intervention
and control groups using independent t-tests. Clinical accuracy will be determined using
histopathology and/or expert consensus as gold standard. Both per-protocol and Intention To
Treat analysis will be calculated in order to elucidate potentially missed differences and to
allow readers to interpret the effect of the intervention.
Power and Sample Size To our knowledge there is no data within the literature that describes
the typical number of skin lesions seen by a Danish GP. Based on estimates from clinical
experience roughly eight patients are seen by each GP per week with skin lesions suspected of
skin cancer. With 90 GPs registering 90% of all lesions this amounts to 8.417 skin lesions
registered during the three months. However, the ratio of benign to malignant skin lesions
(BMR) referred or removed by GPs is typically somewhere between 10-29:1. Specialised centers
in the UK have reported that it is possible to achieve accurate melanoma diagnostics with a
BMR of 1.74-6.3:1, based on clinical evaluation aided by dermatoscopy alone. Based on these
numbers an effect size of Cohen's d = 0.5-0.8 is realistic. This would require around 25-40
GPs in each group to achieve a minimum 80% power.
Ethical considerations Patient participation contains no immediate strain or discomfort for
the patient, and no change to current clinical practise, as dermoscopic evaluation is part of
the clinical examination of skin lesions. The images captured are stored safely and
anonymously with no risk for the patient.
Participating patients receive current standard of practice or an additional
teledermatological evaluation of their skin lesions, giving them an expert opinion rather
than only the opinion of their GP, in cases where patients are not referred to a
dermatologist. A setup with minimal discomfort for the patient and the evaluation of their
skin lesions by an expert justifies the participation of the patients.
With the current low diagnostic accuracy of GP's the educational nature of the intervention
justifies the study for the sake of all future patients with skin lesions that are less
likely to be misdiagnosed.
Educational interventions on doctors do not require approval by The National Committee on
Health Research Ethics in Denmark. However, a waiver has been obtained from the The Committee
on Health Research Ethics in the Capital Region of Denmark (case number H-20059977) and
ethical considerations have been made and the project is in concordance with the Helsinki
Declaration II.