View clinical trials related to Polyps.
Filter by:The aim of the study is to assess whether the use of artificial intelligence improves polyp detection in a segment of the colon (the right colon). To achieve this objective, patients will be divided into two groups: one will undergo a standard colonoscopy, the other a colonoscopy with the artificial intelligence software connected to the machine. This software does not modify the colonoscopy technique in any way, and does not require the administration of any product to the patient. The study will compare the detection rate of right colon polyps between the group of patients who underwent standard colonoscopy and those who underwent colonoscopy with artificial intelligence. If this number does not differ between the two groups, the investigators can conclude that there is no point in using artificial intelligence.
The goal of this observational study is to learn about anatomical and pathological variants in patients with antrochoanal polyps trying to find a key to its pathogenesis Participants will have nasal endoscopic examination and CT nose and paranasal sinuses. we will compare patients with antrochoanal polyps and other patients with unilateral sinonasal disease regarding anatomical and pathological variants.
The present trial is aimed at evaluating whether in individuals scheduled for colonoscopy in the framework of a structured FIT (Fecal Immunochemical stool test)-based colorectal cancer screening program, the combination of an AI (artificial intelligence) system (CADEYE) with a mucosal exposure device (G-EYE 760R endoscope) increases the identification of subjects at high risk to develop colorectal cancer (according to recent ESGE-European Society of Gastrointestinal Endoscopy guidelines subjects are labelled as "high-risk" if harboring at least 1 adenoma ≥ 10 mm or with high grade dysplasia, or ≥ 5 adenomas, or any serrated polyp ≥ 10 mm or with dysplasia) when compared to colonoscopy performed with the support of AI only. Individuals fulfilling inclusion criteria are randomized (1:1) to two different arms (Control arm and Interventional arm, see below). Randomization is based on a computer-generated randomized block sequence, stratified according to age (50-61 vs. 62-74) and gender (male vs. female); size of the blocks (10 individuals) is not communicated to the investigator. Allocation is concealed and kept in a sealed envelope, which is opened just before starting colonoscopy. Individuals randomized in the Intervention arm receive colonoscopy examination with G-EYE 760R colonoscopes; once the cecum is reached the balloon is inflated, and the endoscope is withdrawn with the inflated balloon; the colonoscopy is performed with the support of the CADEYE system for polyp detection in both insertion and withdrawal phase; all polyps identified are removed and sent for histopathology examination. Individuals randomized in the Control arm (CADEYE only) receive colonoscopy with G-EYE 760R colonoscope but the balloon remains deflated for the entire procedure; the colonoscopy is performed with the support of the CADEYE system for polyp detection in both insertion and withdrawal phase; all polyps identified are removed and sent for histopathology examination. The main outcome measure is the rate of "high risk" individuals across the two study arms.
Colorectal cancer (CRC) is a leading cause of death in the Western world. It can be effectively prevented by removal of pre-malignant polyps during colonoscopy. Large (≥20mm) non-pedunculated colorectal polyps (LNPCPs) represent 2-3% of colorectal polyps and require special attention prior to treatment. If submucosal invasive cancer (SMI) is suspected, careful decision making is required to exclude features which unacceptably increase the risk of lymph node metastases and render local treatment (endoscopic) non-curative. Such patients require a multi-disciplinary approach and consideration of surgery +/- systemic therapy. Unfortunately, current classification systems are complex, require extensive training and technology not available in the majority of non-tertiary hospitals. They are therefore underused leading to incorrect decision making and negative patient outcomes (e.g. piecemeal resection without the chance of endoscopic cure or unnecessary further procedures in referral centres with resultant surgery anyway or surgery for benign disease). Studies from the field of psychology show that humans are often capable of making correct decision based on their Blink (first) impression. It is also suggested that this Blink impression is based on experience and training. This might suggest that experienced or specialist endoscopist are better at diagnosing SMI within colorectal polyp at Blink impression. The investigators hypothesize that by training the Blink impression, endoscopist of varying experience are able to detect cancer within LNPCPs. This can be proven by assessing the Blink impression of endoscopist of varying experience regarding the presence of SMI within LNPCPs. Increasing the accuracy of the determination of SMI within colon polyps would directly translate into improvements in patient care and outcome. For example, if SMI is present and is not suspected, patients may undergo unnecessary endoscopic procedures for an LNPCP which will eventually require surgery anyway (inconvenience, delayed correct treatment). If the incorrect technique is performed in the context of superficial SMI, adequate assessment of complete excision or extent and type of SMI may not be possible and a patient who would otherwise have been cured may require surgery anyway (under-treatment, below standard of care outcome, delay to treatment). Conversely, if SMI is suspected in its absence patients may undergo unnecessary surgery, increased healthcare spends and mortality (over-treatment, unnecessary risk). If the presence of SMI could be accurately determined in real-time using endoscopic imaging, delays to treatment, over-treatment and the associated morbidity for patients could be avoided.
The investigators hope that this project will determine if the Endocuff device is a useful adjunct during colonoscopy by optimizing polyp detection and eliminating the need for the painful rectal retroflexion. As such, by improving polyp detection and eliminating the need for rectal retroflexion, it will directly reduce the likelihood of colon cancer and improve patient comfort respectively.
The colorectal cancer is the first incidence and ranks the third cancer-death cause in Taiwan. Based on the Taiwan-national colon cancer screening program, early colorectal cancer detection rate and the survival are markedly improved. Besides to disclose the early cancer, there are vast populations to be disclosed with colon adenoma. Some of colon adenoma really presents as advanced colon adenoma (ACA) to carry higher risk of recurrence and even cancer progression. The current clinical guidelines raise strategy for colonoscopy surveillance based on the results of the index colonoscopy to categorize the patients into different risks of colon polyp recurrence and early detection of colorectal cancer. It is worthy to validate whether the real scenario of Taiwan colonoscopy surveillance can fulfill the guidelines worldwide. Furthermore, it shall be of clinical importance to elucidate out the high risky group who may be commonly disclosed during intense colonoscopy surveillance and to disclose with advanced adenoma. Accordingly, the domestic amending to the worldwide guideline shall be in need and need a more reliable biomarker to predict the recurrence of colon adenoma during surveillance colonoscopy. Concerning, cyclooxygenase-2 (COX-2) and DNA methyltransferases (DNMT) are involved during colorectal carcinogenesis via chronic inflammatory process and early tumorigenesis. This study proposes COX-2 and DNMT shall be potential biomarkers correlating to the recurrence of colon adenoma disclosed during surveillance colonoscopy in Taiwan. We thus conduct a prospective study, containing at least 1,400 cases, who will undergo surveillance colonoscopy in National Cheng Kung University Hospital in the next year. The study shall be a large-case study to answer whether the surveillance interval of the surveillance colonoscopy can be fulfilled to the suggestion of the 2012 United States Multi-society Task Force (USMTF) on colorectal cancer guideline. Factors that affect the detection of polyps in the surveillance will be explored. Based on the invitation of the patients to receive surveillance colonoscopy, the study also test whether COX-2 or DNMT over-expression are markers to predict polyps recurrence and to identify the risky patient deserve for earlier colonoscopy.
Size of colorectal polyps is important to decide on appropriate surveillance intervals and treatment modality, as well as carrying out optical diagnosis strategies. However, polyp size measurement is often prone to inter-observer variability. An easy and accurate tool to assist in polyp size measurement is required. Recently, a virtual scale function for size measurement during endoscopy (SCALE EYE), operating in real-time without the use of any additional devices, has been developed. The aim of this study is to assess whether use of the SCALE EYE for polyp size measurement can reduce inter-observer variability.
The endoscopist performances in the optical diagnosis (OD) of colonic polyps with the available technologies vary widely across centers and across endoscopists. The OD process is strictly related to the operator training and expertise. Most of the available studies in optical characterization have been carried out by expert endoscopist in tertiary high volume centers, and weren't replied on large unselected populations. For these reasons, at the moment the optical characterization of polypoid lesions can't replace, in the everyday clinical practice, the histopathological evaluation of resected polyps. Artificial intelligence (AI)-based systems have the potential to make optical characterization process of colonic polyps easier and more reliable, thus supporting the endoscopist in the application of leave-in-situ and of resect-and-discard strategies. The implementation of such strategies would lead to a significant economic saving and a decrease of risks and complications related to unnecessary polypectomy. GI-Genius System (Medtronic Inc, Minneaopolis, USA) is a CNN-based algorithm allowing an automatic OD of colonic polyps. This system does not require dedicated light setting for polyp evaluation as it works with white light high definition images, which are the actual standard in every endoscopic unit. During colonoscopy, when a polyp is framed within the screen, a green detection box surrounds the polyp and the system automatically provides (whenever possible) the optical diagnosis labeling the polyp as "adenoma or non-adenoma". When the automatic polyp charaterization is unfeasible the label "no prediction" appears. Nowadays only few data about the feasibility and performances of this system in clinical practice are available. In addition published studies are mostly focused on technical rather thann clinical issues. The present prospective observational trial is primarily aimed at evaluating the diagnostic accuracy of optical characterization of colonic polyps <= 1 cm using GI-Genius System in daily clinical practice, having histopathology examination as reference standard.
The study involves the planned use of a new microwave-based device during colonoscopy procedures in a small group of patients to assess the preliminary safety of its use and lack of normal clinical practice modification. The device is a final design version, which has been previously tested in several preclinical studies, including: phantom studies, an ex vivo study with human tissues, and an in vivo study with animal model (pig).
This is a prospective, multicenter, randomized controlled study to evaluate the effect of the Computer-Assisted Detection (CADe) Device on Adenomas Per Colonoscopy and Positive Percent Agreement for routine colonoscopies. The control arm is colonoscopy performed with High Definition White Light Endoscopy (HD-WLE) per standard of care. The intervention arm is colonoscopy performed with HD-WLE per standard of care plus the Computer-Assisted Detection (CADe) Device.