Fondazione Poliambulanza
Brescia, 25124, Italy
NCT Number: NCT04821349
Capsule Endoscopy (CE) is a safe, patient friendly and easy procedure performed for the evaluation of gastrointestinal tract unable to be explored via conventional endoscopy. The most common indication to perform SBCE is represented by Suspected Small Bowel Bleeding (SSBB). According to the widest meta-analysis available in literature, SBCE shows a diagnostic yield in SSBB of about 60%, and angiodysplasias are the most relevant findings, accounting for 50% of patients undergoing SBCE for SSBB. Accordingly, it represents the first line examination in SSBB investigation for determining the source of bleeding, if primary endoscopy results negative. Despite its high clinical feasibility, the evaluation of CE-video-captures is one of the main drawbacks since it is time consuming and requests the reader to concentrate to not miss any lesion. In order to reduce reading time, several software have been developed with the aim to cut similar images and select relevant images. For example, automated fast reading software have demonstrated to significantly reduce reading time without impacting the miss rate in pathological conditions affecting diffusely the mucosa (as IBD lesions do). Not the same assumption can be taken for isolated lesions since several studies reported an unacceptable miss rate for such a detection modality. New advancements such as artificial intelligence made their appearance in recent years. Deep convolutional neural networks (CNNs) have demonstrated to recognize specific images among a large variety up to exceed human performance in visual tasks. A Deep Learning model has been recently validated in the field of Small Bowel CE by Ding et al. According to their data collected on 5000 patients, the CNN-based auxiliary model identify abnormalities with 99.88% sensitivity in the per patient analysis and 99.90% sensitivity in the per-lesion analysis. With this perspective, it is believable that AI applied to SBCE can significantly shorten the reading time and support physicians to detect available lesions without losing significant lesions, further improving the diagnostic yield of the procedure.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Brescia, 25124, Italy
This is a multicenter, multinational, blinded prospective trial, involving a consecutive series of patients recruited by 12 European centers based on the indication of OGIB:
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
indication of OGIB:1)after negative upper and lower endoscopy; 2)France: after negative pregnancy test; 3)Hb cut-off male: <13, female: <12
Exclusion criteria
A consecutive series of patients recruited by 12 European centers based on the indication of OGIB will undergo capsule endoscopy examination.
Capsule endoscopy will be performed in each site according to local rules and requirements, and the study protocol will concern only the post-procedure analysis on reading modalities for each patient.
Time frame: through study completion, an average of 1 year
sensitivity, specificity, PPV, NPV calculated at per-patient analysis for P1 / P2 lesions, compared with the adjudication committee as gold standard in case of discrepancies.
Time frame: through study completion, an average of 1 year
Time frame: through study completion, an average of 1 year
Time frame: through study completion, an average of 1 year
Sensitivity, specificity, PPV, NPV, calculated at per lesion analysis for P1 / P2 lesions and for any lesion with the adjudication committee as gold standard in case of discrepancies .
Time frame: through study completion, an average of 1 year
Time frame: through study completion, an average of 1 year
Time frame: through study completion, an average of 1 year
Fondazione Poliambulanza Istituto Ospedaliero
Other
Role of the Artificial Intelligence in Capsule Endoscopy for the Identification of Small Bowel Lesions in Patients With Small Intestinal Bleeding ArtIC Study: Artificial Intelligence Capsule Endoscopy Study
Acronym: ArtIC
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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