Active clinical trials for "Polyps"

When a polyp is found, it woulf be recorded by a white-light and OE1 model with magnification for assessing and predicting its histology. After that, its really histology will be reported by an pathologist. When a polyp is found, OE mode 1 with magnification was first used with near focus the polyp and an endoscopist made a real-time prediction of polyp pathology. After that, high-definition mode and OE mode 1 without magnification were used to observe polyp sequencely. The video of all procedure was recorded.

In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.

The aim of the study is to develop a computer program which is able to distinguish between adenomatous and non- adenomatous polyps on the basis of optical features of the polyps. Still images of polyps (< 10 mm of size) will be collected during routine colonoscopy procedures. All polyps will be resected endoscopically so that histopathological diagnoses (gold standard) can be notified. In the validation phase of the study a computer program will be established which aims to distinguish between adenomatous and non- adenomatous polyps on the basis of optical features derived from still images. The program will operated using the the random forest learning method. Afterwards, in the testing phase of the study, still images of 100 polyps (not used in the validation phase) will be presented to the computer program. The establishment of a well- functioning computer program is the primary aim of the study.

The aim of the study is to develop a computer program which is able to classify different entities of colorectal polyps on the basis of optical polyp features. In the end, the computer program shall differentiate between (i) hypeplastic polyps, (ii) adenomas and (iii) serrated adenomas . In the first phase of the study a computer program will be established which aims to distinguish between the above mentions entities on the basis of optical features derived from still images. A machine learning apporach will be used for creating the program. Afterwards, in a second phase of the study, still images of 100 polyps (not used in the first phase) will be presented to the computer program. Quality of the computer program will be tested by calculating the accuracy for differentiating the three different polyp types. The gold standard for true polyp diagnoses will be based on histopathological diagnoses of the polyps. The same pictures of 100 polyps will also be presented to human experts. Experts will also predict histopathological diagnoses on the basis of optical polyps featurs. Accuracy of computer-decisions and human expert predictions will be compared. The establishment of a well- functioning computer program is the primary aim of the study.

Anatomic Fallopian tubal patency and physiologic patency testing are feasible via hystertoscopy. This study aims to test the impact of different types of intrauterine polyp(s) on Darwish test (office hysteroscopic bubble suction test and tubal peristalsis).

Adenomas, serrated adenomas and hyperplastic polyps are polypoid lesion in the colorectum. At the present moment, all polyps should be resected endoscopically, although only adenomas and serrated adenomas, but not hyperplastic polyps have the potential to develop colorectal cancer. This approach enables the conduction of microscopic investigations of the lesions. By today, only the pathological diagnosis can distinguish exactly between these three polyp entities. Some studies have investigated the value of the optical characterization approach which is based on visual assessment of the polyp' surface structures. Based upon optical polyp features users are encouraged to predict histopathological polyp diagnoses solely on behalf of optical or endoscopical criteria. This method is conducted in real time during colonoscopy. If it could be shown, that endoscopist using the optical characterization approach are able to predict histopathological diagnoses of colonic polyps sufficiently this would possibly lead to simplification of diagnostic procedures. For instance, it would be conceivable to resect small polyps and discard them without further assessment by a pathologist. One problem in this context is a correct differentiation between hyperplastic polyps and serrated adenomas. These two polyp entities are known to show similar optical features. However, while serrated adenomas are premalignant lesions hyperplastic polyps have benign histology and never develop into cancer. It is therefore important to sufficiently distinguish hyperplastic polyps from serrated lesions. In this study we want to investigate whether the use of narrow-band imaging (NBI) would be capable to rise accuracy of optical polyp predictions compared to standard HD white light endoscopy. NBI is a light filter tool which can be activated by pressing a button at the endoscope. The use of NBI leads to an endoscopic picture which appears blue and enables endoscopists to better assess surface structures and vascular patterns. In a prospective randomised multicenter setting we plan to conduct colonoscopy in 370 patients. Half of the patients will be examined without the use of NBI (control arm). In these cases colonoscopists will assess optical diagnosis of polyps without turning on the NBI tool. If polyps are detected in patients belonging to the intervention arm NBI will be used and optical diagnosis will be determined using the WASP (Workgroup serrAted polypS and Polyposis) classification. All polyps will be resected and send to pathology for further microscopic assessment. After completing the trial we aim to compare accuracy of the optical diagnosis in both groups. Our hypothesis is, that by using NBI accordance between optical and histopathological diagnosis can be increased from 80% to 90%.

The aim of the study is to develop a computer program which is able to automatically detect colorectal polyps in endoscopic video sequences. Furthermore, the program shall be able to automatically distinguish between adenomas, serrated adenomas and hyperplastic polyps on the basis of optical features of the polyps. Video sequences of polyps will be collected during routine colonoscopy procedures. All polyps will be resected endoscopically so that histopathological diagnoses (gold standard) can be notified. In the validation phase of the study a computer program will be established which aims to distinguish between adenomas, serrated adenomas and hyperplastic polyps on the basis of optical features derived from the videos. A deep learning approach will be used for programming. Afterwards, in the testing phase of the study, videos of 100 polyps (not used in the validation phase) will be presented to the computer program. The establishment of a well- functioning computer program is the primary aim of the study.

Diminutive polyps, measuring between 1 and 5 mm, represent the vast majority of colorectal polyps encountered during colonoscopy. Since the chance of harboring advanced adenoma or carcinoma in this kind of polyps is very low, a "remove and discard" technique has been proposed. The differentiation between adenoma/non adenoma polyps is based on the use of endoscopes equipped with high definition, magnification and optical filters.

Lesions, polyps and other abnormalities in the gastrointestinal (GI) tract have a different composition compared to the normal mucose. The investigators plan to gather spectroscopic information from these features. Characterizing their unique spectrums, may help to enhance the detection and identification of these objects during endoscopy.

Benign epithelial gastric polyps are benign raised lesions that originate from the gastric mucosa or submucosa and protrude from the gastric cavity with a wide base or a pedicle.The diagnosis and treatment of benign epithelial gastric polyps are currently controversial. There is still a lack of clinical research evidence especially for the malignant tendency and related treatments of gastric polyps. Many doctors have ambiguous understanding of benign epithelial gastric polyps and their endoscopic management is still in a"one size fits all"mode in China, which greatly wastes medical resources and increases the medical risks of patients, So it is imminent to formulate management practices for the diagnosis and treatment of gastric polyps. Therefore, a full understanding of the clinical characteristics, endoscopic characteristics and long-term follow-up trends of benign epithelial gastric polyps is of great significance for clinicians to formulate reasonable treatment and follow-up plans. This study is a prospective, large-sample observational cohort study. It is planned to include 200 patients with biopsy confirmed benign epithelial gastric polyps participating in this study from September 10, 2020 to December 31, 2021 and followed up for 18 months. The main research endpoint is the correlation between size and pathological type of benign epithelial gastric polyps and polyps development. The secondary research endpoint is the correlation between type of benign epithelial gastric polyps and Helicobacter pylori infection. The research results will help provide long-term follow-up data for benign epithelial gastric polyps of different pathological types, thereby providing first-hand evidence-based medical data for formulating gastric polyp management guidelines, helping to efficiently screen high-risk groups and guiding their examination, treatment and long-term follow-up to achieve early detection and early treatment of gastric cancer, thereby reducing the mortality rate.