Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
N = 264 patients (50% female) aged 75 years and above undergoing colonoscopy were enrolled. Patients were randomly assigned into one of the three intervention groups: the primary intervention arm (CADe in combination with the MED), the second group with MED alone, and the control group with WLE. All detected lesions were removed and sent to histopathology for diagnosis. The primary outcome was the adenoma detection rate. Secondary outcomes were adenoma detection in the left colon in our cohort of patients.
264 patients, with an equal gender distribution (50% female), aged 75 years and above, undergoing screening and diagnostic colonoscopy at The Surgery and Endoscopy Center of Sebring, Sebring, Florida, were enrolled in this study. The eligibility criteria for a randomized controlled trial (RCT) comparing AI and mucosal exposure devices together, mucosal exposure devices alone, and white light endoscopy in patients 75 years and older could be structured as follows.
Patients were randomly allocated into one of three study groups: the primary intervention arm, where colonoscopy was performed using the CADe in combination with the MED; the second group underwent colonoscopy solely with the MED, while the control group underwent colonoscopy solely with the WLE. We used a Convolutional Neural Network-based CADe system, GI Genius, acquired for licensed use from Medtronic Inc., Minneapolis, MN. The MED employed was the EndoCuff Vision (ECV) developed by Olympus America, Center Valley, PA, which constitutes part of the standard equipment available. All detected lesions were identified and excised throughout the colonoscopy procedures, and specimens were promptly sent for histopathological analysis.
The primary outcome of interest was adenoma detection rate (ADR), defined as the percentage of patients in whom at least one histologically proven adenoma or carcinoma was identified during colonoscopy. Secondary outcomes included ADR in the left colon in our cohort of patients.
This study was conducted according to accepted ethical principles and approved by the institutional review board (IRB) of "The Surgery and Endoscopy Center of Sebring." Informed consent was obtained from all participants before enrollment, and measures were taken to ensure patient confidentiality and data protection throughout the study period.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Primary Intervention Arm | Experimental | In this arm, colonoscopy was performed using Computer Aided detection in combination with a Mucosal Exposure Device, which is FDA approved. |
|
| Secondary Intervention Arm | Experimental | In this arm, participants underwent colonoscopy solely with an FDA approved Mucosal Exposure Device |
|
| Control group | No Intervention | In this arm, the participants underwent standard white light endoscopy without any intervention. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial Intelligence | Device | Medtronic GI Genius is an advanced AI-powered platform designed to assist gastroenterologists during colonoscopies. Utilizing deep learning algorithms, it analyzes real-time endoscopic images to detect and highlight polyps and other abnormalities, enhancing the detection rate and accuracy. The system provides visual cues to guide physicians in identifying potentially problematic areas that might be missed by the human eye alone. This technology aims to improve diagnostic precision, reduce missed detections, and ultimately enhance patient outcomes by facilitating earlier and more accurate interventions. GI Genius integrates seamlessly with existing endoscopy equipment, offering a valuable tool in the fight against colorectal cancer. |
| Measure | Description | Time Frame |
|---|---|---|
| Primary Outcome Measure | The primary outcome of interest was adenoma detection rate (ADR), defined as the percentage of patients in whom at least one histologically proven adenoma or carcinoma was identified during colonoscopy. | 181 days |
| Measure | Description | Time Frame |
|---|---|---|
| Secondary Outcome Measure | Secondary outcomes included Adenoam Detection Rate in the left colon in our cohort of patients. | 181 days |
Not provided
Inclusion Criteria
Exclusion criteria
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Pankaj J Patel, MD | The Surgery and Endoscopy Center of Sebring | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Surgery and Endoscopy Center of Sebring | Sebring | Florida | 33870 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 20655393 | Background | Pohl H, Robertson DJ. Colorectal cancers detected after colonoscopy frequently result from missed lesions. Clin Gastroenterol Hepatol. 2010 Oct;8(10):858-64. doi: 10.1016/j.cgh.2010.06.028. Epub 2010 Jul 22. | |
| 31631858 | Background | Dekker E, Tanis PJ, Vleugels JLA, Kasi PM, Wallace MB. Colorectal cancer. Lancet. 2019 Oct 19;394(10207):1467-1480. doi: 10.1016/S0140-6736(19)32319-0. |
Not provided
Not provided
Individual Participant Data (IPD) might not be shared in clinical trial registration for several reasons. Firstly, sharing IPD raises privacy concerns, as de-identification processes may not fully protect participants' confidentiality. Ethical obligations to safeguard participants' sensitive health information must be upheld. Secondly, consent limitations could prevent sharing, especially if participants were not explicitly informed that their data might be shared with external parties. Additionally, proprietary concerns could restrict data sharing if the data are tied to intellectual property or are part of ongoing research. Lastly, regulatory or legal restrictions in specific regions or institutions may limit the ability to share IPD.
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
Not provided
Not provided
Patients were randomly allocated into one of three study groups: the primary intervention arm, where colonoscopy was performed using the CADe in combination with the MED; the second group underwent colonoscopy solely with the MED, while the control group underwent colonoscopy solely with the WLE. Randomization was executed by a scheduler responsible for patient appointments at the practice, ensuring impartial allocation, with the investigators maintaining no involvement in subject assignment to study arms. We used a Convolutional Neural Network-based CADe system, GI Genius, acquired for licensed use from Medtronic Inc., Minneapolis, MN. The MED employed was the EndoCuff Vision (ECV) developed by Olympus America, Center Valley, PA, which constitutes part of the standard equipment available. All detected lesions were identified and excised throughout the colonoscopy procedures, and specimens were promptly sent for histopathological analysis.
Not provided
Not provided
Not provided
|
| Mucosal Exposure Device | Device | The Olympus Endocuff is an innovative device designed to enhance the effectiveness of colonoscopy procedures. It is a soft, flexible cuff that attaches to the end of the colonoscope and features multiple protruding "fingers" that help to improve mucosal exposure. By providing better visibility and maneuverability, the Endocuff helps gastroenterologists navigate and inspect the colon more thoroughly. It aids in the detection of polyps and other abnormalities by flattening folds and improving the overall view of the colon lining. This enhanced visualization contributes to more accurate diagnoses and can potentially reduce the miss rate of significant lesions, ultimately leading to better patient outcomes. |
|
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |