View clinical trials related to Polyps.
Filter by:Purpose & Research Questions The purpose of this study is to evaluate whether artificial intelligence (AI) improves the detection of polyps and whether the system can classify the type and severity of detected changes. The investigators will also assess if there are any differences between the various AI systems and whether the polyps that may be missed are benign or malignant.
Primary objective of the study is to evaluate if the novel virtual polyp sizing tool accuracy in determining the size class of polyps among diminutive (0-5 mm), small (6-9 mm) and large (10 mm and above).
The goal of this observational study is to learn about clinical and functional outcomes in patients with Chronic rhinosinusitis with nasal polyps and comorbid Severe Eosinophilic Asthma and patients with Chronic rhinosinusitis with nasal polyps only treated with mepolizumab compared to healthy controls. Participants will be asked to give nasal, blood and sputum samples before mepolizumab administration (T0) and at 3 (T3), 6 (T6) and 12 (T12) months after mepolizumab initiation The main aims are to identify airways microbiota modifications and differential gene expression after mepolizumab initiation. Researchers will compare: - Patients with Chronic rhinosinusitis with nasal polyps and comorbid Severe Eosinophilic Asthma - Patients with Chronic rhinosinusitis with nasal polyps only - Healthy subjects The research will address the following questions: 1. What are the prospective clinical and functional outcomes of mepolizumab treatment 2. What is the impact of mepolizumab therapy on the airways microbiota and how this may relate to a potentially reduced need for steroids 3. What are the host differential gene expression patterns and the immune/inflammatory (cytokines/chemokines) profile alterations in airways microenvironment and in systemic circulation in response to therapy 4. What are the associations between host and microbiome variables for building up diagnostic and predictive biomarker classifiers of responsive disease endotypes
Colonoscopic removal of adenomatous polyps reduce both the incidence and mortality of colorectal cancer (CRC). The common clinical management of colorectal polyp detected during colonoscopy is to remove them and send for histopathology to determine the subsequent surveillance interval. More than 80% of polyps detected during screening or surveillance colonoscopy are diminutive (≤5mm). As the chance of diminutive polyps to harbor cancer or advanced neoplasia is low, leave-in-situ and resect-and-discard strategies using optical diagnosis are recommended for non-neoplastic polyps by the American Society for Gastrointestinal Endoscopy (ASGE) and the European Society for Gastrointestinal Endoscopy (ESGE) so as to reduce the financial burden of polypectomy and histopathology. The societies proposed leave-in-situ strategy if optical diagnosis can achieve a negative predictive value (NPV) of >90% for rectosigmoid polyp and resect-and-discard if an agreement of more than 90% concordance with histopathology-based post-polypectomy surveillance interval can be achieved. However, optical diagnosis is operator dependent and most endoscopists are reluctant to adopt this strategy in routine practice because of the need of strict training and auditing and fear of incorrect diagnosis. In the past decade, with the exponential increase in computational power, reduced cost of data storage, improved algorithmic sophistication, and increased availability of electronic health data, artificial intelligence (AI) assisted technologies were widely adopted in various healthcare settings to improve clinical outcomes, especially the quality of colonoscopy in the area of gastroenterology. Real time use of computer-aided diagnosis (CADx) for adenoma using AI systems were developed and proven to be useful to help endoscopists to distinguish neoplastic polyps from non-adenomatous polyps. However, these studies only examined diminutive polyp but not polyp of larger size (>5mm). They were conducted with small sample size of less than few hundred subjects and the study settings were open-label and non-randomized. The investigators aim to conduct a large scale randomized controlled trial to evaluate the performance of colorectal polyp characterization of all size polyps by real-time CADx using AI system against conventional colonoscopy with optical diagnosis.
This is a multicenter, randomized, double-blind, placebo-controlled Phase II clinical trial to evaluate the efficacy, safety and pharmacokinetics of TQC2731 injection in the treatment of Chronic Sinusitis with Nasal Polyps.
This is an open-label, single-arm, multicenter, extension study to evaluate the long-term safety and efficacy of GR1802 injection in patients with Chronic Rhinosinusitis With Nasal Polyps
The primary purpose of the study is to evaluate the efficacy of brensocatib at 10 and 40 milligrams (mg) once daily (QD) compared with placebo in improving clinical symptoms of CRSsNP.
This study aims to evaluate the feasibility and safety of Cold snare polypectomy for removing 5-9mm small intestinal polyps in patients with Peutz-Jeghers Syndrome (PJS),in order to provide some reference for clinical strategy of endoscopic treatment of small intestinal polyps in PJS patients, and may prolong the follow-up period of PJS patients Intervals.
Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.
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.