Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04362657 |
Other study ID # |
CREC 2019.274.T |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
April 20, 2020 |
Est. completion date |
July 30, 2022 |
Study information
Verified date |
November 2023 |
Source |
Chinese University of Hong Kong |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
This study aimed to investigate the clinical application of Artificial Intelligence Software
for computer aided diagnosis (CAD), for real-time anatomical coverage, automatic
Identification, classification and interpretation of abnormal lesions in upper GI endoscopy,
and benchmarking their accuracy compared to endoscopists.
Description:
5.1 Phase One This phase of the study is non-interventional. It involves two sections:
training cohort and validation cohort.
5.1.1 Training Cohort Such artificial intelligence models typically need a lot of data to be
fed in, so that it can predict the results with a good accuracy. Since it uses machine
learning, the accuracy gets better with each data set that is fed in. For the training
cohort, prospective collection of videos on diagnostic OGD would be done. Selected
endoscopists would be primed on the examination protocol. Patients would be sedated and given
oral N-acetylcysteine 30 mins before the procedure. Investigators will record basic
epidemiological, analytical and clinical data from patient records. ICD-10 diagnostic codes
or similar diagnostic recording measures and recorded lab data will be used to determine
diagnosis. The Procedure will be done using Olympus 290 systems under conscious sedation
after informed written consent. The procedure will be recorded and the video file will be
saved for future use. Images of suspected lesions and certain anatomic landmarks will also be
saved like Esophagus (upper, middle, lower), gastroesophageal junction, fundus, body and
antrum of stomach, incisura and pylorus and first and second part of duodenum. These images
will also be used in initial training of the CADT. Since all endoscopic procedures in the
endoscopy centre of Prince of Wales Hospital have been recorded since December 2018, some OGD
that has been performed will be screened for quality and would also be used in this training
cohort. 150-200 patient videos would be marked at different anatomical sites by trained
endoscopists. These videos would be anonymized. The training cohort would be repeated until
the sensitivity and specificity are over 90%.
5.1.2 Validation Cohort After feeding these images to the software, a validation cohort would
be performed. All consecutive patients undergoing diagnostic OGD meeting the inclusion and
exclusion criteria in the Prince of Wales Hospital would be included in the study. The
endoscopists would be blinded to the presence of the CADT and the standard protocol. The
endoscopist would perform a diagnostic OGD as per usual practice. The procedure would be
recorded and accessed by the CADT at the same time. The same video would be validated by a
specialist endoscopist on the adequacy of the anatomical sites covered and the preparation of
the stomach. This would be considered as the gold standard. The specialist endoscopist would
be blinded to the result of the CADT. The CADT result would be compared against the
specialist endoscopist. Sensitivity and specificity of the CADT results would be generated.
If it is lower than 90%, further pictures/ videos have to be fed in for the training cohort.