Clinical Research Directory

Right Colon Enema to Improve Bowel Preparation Quality During Colonoscopy

Colonoscopy is a test that lets doctors look inside the large bowel to find and remove growths called polyps, which can develop into bowel cancer. Before the test, people take a bowel preparation to empty the bowel. Even so, the right side of the bowel is often not clean enough, and polyps there can be missed. This study is testing whether giving an enema (a small amount of fluid passed into the bowel) during the colonoscopy makes the right side of the bowel cleaner. Participants having a routine colonoscopy at Westmead Hospital or Auburn Hospital will be assigned by chance to either receive the enema during the procedure or to have their colonoscopy in the usual way. Neither group takes any extra preparation at home. The researchers will compare how clean the right side of the bowel is in each group, using a standard scoring system, and will also look at how many polyps are found. The aim is to find out whether this simple step improves the quality of colonoscopy.

A Novel Clinical Decision Support Tool to Predict Submucosal Invasive Cancer Within Large Non-Pedunculated Colorectal Polyps

Colorectal cancer can be effectively prevented by removal of pre-malignant polyps during colonoscopy. Large (\>=20mm) non-pedunculated colorectal polyps (LNPCPs) require careful assessment before treatment. If submucosal invasive cancer (SMI) is present, it determines whether endoscopic treatment can be curative or whether surgery is needed. Current classification systems to detect SMI are complex, require extensive training, and are underused in non-tertiary hospitals. A simple web-based clinical decision support tool was created using well-established parameters (presence of a demarcated area, polyp size, Paris classification, location, and granularity) to identify SMI within LNPCPs. Crucially, the tool uses only standard endoscopic imaging available in most endoscopy units. This prospective multi-centre study evaluates the accuracy of the tool during live endoscopic assessment. Endoscopists of varying experience will assess 10 large colorectal polyps using the tool, then undergo a 45-minute structured educational intervention. They will then assess a further 10 polyps using the tool. A third set of 10 assessments at 3 months evaluates durability of learning. Accuracy is compared to expert opinion.

Evaluation of Versatile Intelligent Staining Technology (VIST) and Spectral Flexible Imaging (SFI) for Detection and Optical Characterization of Colorectal Lesions: A Prospective Randomized Controlled Study

This prospective randomized controlled study aims to evaluate the diagnostic accuracy of Versatile Intelligent Staining Technology (VIST) and Spectral Flexible Imaging (SFI) for detection and optical characterization of colorectal lesions during colonoscopy. The performance of VIST and SFI will be compared with high-definition white light endoscopy (WLE), using histopathology as the reference standard and established endoscopic classifications (Paris, Kudo, and JNET). The study will also assess adenoma detection rate, serrated lesion detection, inter- and intraobserver agreement, and procedure-related metrics.

Clinical Validity Verification on Diagnostic Assistance for Presence and Severity of Colorectal Cancer and Polyps Using Artificial Intelligence-based Medical Device Software Endoscopic Imaging Assistance

This completed retrospective study evaluated the clinical performance of ENAD-CADx-01, an artificial intelligence-based medical device software intended to assist healthcare professionals in characterizing colorectal lesions in colonoscopy images. Previously collected colonoscopy images and corresponding histopathological results from Asan Medical Center were analyzed. The performance of ENAD-CADx-01 was evaluated based on its sensitivity, specificity, and overall accuracy in classifying colorectal lesions as neoplasm, hyperplastic polyp, or sessile serrated lesion. No participants were prospectively enrolled, and no study-related intervention was performed.

ColoMaia II Software to Support Lesion Detection During Colonoscopy

The goal of this clinical trial is to learn whether the ColoMaia II software can help doctors find colon lesions during colonoscopy and whether it is safe to use in adults aged 40 to 80 years having screening, surveillance, or diagnostic colonoscopy. The main questions it aims to answer are whether the software increases the number of participants in whom at least one adenoma is found, and whether the software is safe to use during colonoscopy. Researchers will compare colonoscopy with ColoMaia II software assistance to standard colonoscopy without the software. Participants will be assigned to a colonoscopy with or without ColoMaia II software assistance, have a colonoscopy performed by a qualified physician, have tissue samples examined if needed, and allow study data and procedure videos to be collected and reviewed.

Prospective, Open-label, Non-significant Risk, Multicenter Study Comparing the Polyp Detection of the Study Device to That of the Colonoscopy Reference

Note: This is the same study protocol as NCT04607746 with slight changes to how the videos will be read and a 2nd generation capsule is being studied. The purpose of this study is to evaluate the safety and effectiveness of CapsoCam® Colon (CV-3) endoscope system for the detection of colonic polyps and to show that AI-based CADe improves the polyp-detection accuracy and efficiency of capsule video readers. It will use colonoscopy results as a reference. The participant will: 1. prep for and swallow a study capsule and then 2. prep for and undergo a colonoscopy either the following day or 3-6 weeks later

A Prospective Study to Evaluate the Performance of a Real-time System in the Estimation of Colorectal Polyp Size

Colorectal polyp size is related to the risk of exhibiting advanced histological features. Moreover, polyps larger than 10 mm are associated with an elevated risk of metachronous advanced neoplasia and colorectal cancer (CRC). Consequently, accurate measurement of polyp size, especially at the 10 mm threshold is critical for risk stratification and surveillance intervals. Furthermore, polyp size is also important for the choice of the appropriate resection procedures. Underestimation may lead to delayed diagnosis, thereby increasing the risk of colorectal cancer, while overestimation may result in unnecessary surveillance endoscopies.

The Long-term Effect of Artificial Intelligence-assisted Colonoscopy on Risk of Metachronous Advanced Colonic Lesion

The goal of this prospective study is to to evaluate the prevalence of metachronous advanced colonic lesions in subsequent surveillance colonoscopies in patients who had previously undergone AI-assisted colonoscopy to conventional colonoscopy examinations. The main question it aims to answer is whether employing AI-assisted colonoscopy can decrease the likelihood of metachronous advanced colonic lesions during subsequent surveillance colonoscopies. Researchers will compare patient who undergo conventional colonoscopy in previous colonoscopy to see if AI-assisted colonoscopy can decrease the likelihood of metachronous advanced colonic lesions during subsequent surveillance colonoscopies. Participants will undergo surveillance colonoscopy to assess the presence of metachronous advanced colonic lesion

Linked-Color Imaging Versus Indigo Carmine Pump Spraying on the Colorectal Adenoma Detection Rate

Detection and removal of polyps during colonoscopy is crucial for the prevention of colorectal cancer. Indigo carmine spraying up to the colonic mucosa could probably increase the adenoma detection rate, but considering the long withdrawal time of the endoscope and the resulting increase in time and cost. Linked-color imaging (LCI) is a newly developed image-enhanced endoscopy technology. It relies on wave length optimization of three colors (red, green, and blue) to make the lesions appear fuller. LCI improves the visibility of colorectal adenomas and polyps and may increase the detection rate of lesions. In order to explore the clinical application value of Linked-color imaging endoscopy, we performed a prospective, randomized controlled trial to compare adenoma detection rate of Linked-color imaging endoscopy and indigo carmine chromoendoscopy.

Australian Multicentre Colonic Endoscopic Mucosal Resection Study

A prospective, multicentre, observational study of all patients referred for endoscopic resection of sessile colorectal polyps sized ≥20 mm conducted with intention to treat analysis.

The Australian Colonic Advanced Mucosal Neoplasia and Endoscopic Resection Study

To enhance understanding of the risk factors for AMN, improve lesion assessment and prediction of submucosal invasive cancer, improve endoscopic resection efficacy, reduce complications of WF-EMR and improve the understanding of the progression of large lesions to cancer

Surveillance Intervals After Piecemeal Resection of Non-pedunculated Colorectal Lesions ≥20mm

Intensive endoscopic surveillance following piecemeal resection of non-pedunculated colorectal lesions (NPCL) ≥20 mm is the current standard of care, given the high recurrence rate of these lesions (15-30%). However, most recurrences are detected at 12 months, are small and unifocal, and can be easily resected endoscopically. Furthermore, thermal margin ablation has demonstrated a reduction in recurrence rates to 5-6%, highlighting the need to optimize current surveillance protocols, which are costly, invasive, and impose a significant clinical burden. The multicenter SCARFACE clinical trial aims to evaluate whether a reduced surveillance protocol (at 12 and 48 months) is non-inferior to the standard protocol (at 6, 12, and 48 months) in terms of recurrence rates, using a predefined non-inferiority margin. This non-inferiority design aims to determine if the reduced protocol maintains acceptable efficacy while reducing clinical workload and minimizing risks and discomfort associated with intensive follow-up. Patients will be randomized in a 1:1 ratio into the two surveillance protocols, with an estimated sample size of 746 lesions. The primary objective is to compare the cumulative incidence of recurrence at 12 months. Secondary objectives include characterizing recurrences, assessing complications associated with endoscopic treatments and evaluating the incidence of advanced colorectal lesions. The findings of this study are expected to directly impact clinical guidelines and routine practice, optimizing resource utilization and improving patient quality of life.