View clinical trials related to Adenoma.
Filter by:In European countries, colorectal cancer (CRC) represents an important public health problem. It is widely held view that most carcinomas develop from an adenoma-carcinoma progression. Adenoma detection rate (ADR) is a marker of high quality colonoscopy and it was inversely associated with the risk of interval colorectal cancer, advanced-stage interval cancer, and fatal interval cancer after colonoscopy. Although colonoscopy is considered the gold standard for adenoma detection, it has shown some limits, so industry has aimed at increasing detection rate of adenomas providing new technologies, most of witch to detect lesions located in blind spots. ARC Endocuff Vision (AEV), the second generation of Endocuff, represents a new generation of these devices, thus assessing the diagnostic sensibility of ARC Endocuff Vision assisted colonoscopy (EAC) is an interesting challenge. Aim of the study is to compare ADR of EAC versus standard colonoscopy among FIT positive subjects in the context of CRC screening programs.
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.
Sellar area tumors such as pituitary adenoma, craniopharyngioma and meningioma, etc, commonly lead to visual impairment symptoms. Patients suffer from a loss of visual acuity (VA) and visual field defects (VF) due to a local compression on the optic chiasma by the tumor. In the management of these patients, it is an important goal to evaluate their visual function throughout the treatment, so as to predict the outcome of the visual function . Since the visual pathway contains a huge complex network of both structure and function, traditional simplex evaluation of VA and VF is obviously not enough. Former studies have revealed changes in the visual network and cortex structure in neurodegenerative diseases and optic neuritis, yet the functional and structural changes caused by local tumor compression and their relation to the visual cortex activity patterns needs further research. The objective of this research is to asses the visual function in patients with sellar area tumor 1 week preoperatively (baseline),72 hours postoperatively(checking point 1) and at 3 months follow up(checkpoint 2). By using multimodal evaluation including visual resting and task state fMRI, diffusion tensor imaging (DTI), etc. The investigators aim to reveal the changes in functional connectivity (FC), amplitude of low frequency fluctuation (ALFF), regional homogeneity (REHO) ,visual cortex activity patterns and tract-based spatial statistics (TBSS).
Neuroendocrine tumours (NETs) are generally slow growing, but some can be aggressive and resistant to treatment. Compared to healthy cells, the surface of these tumor cells has a greater number of special molecules called somatostatin receptors (SSTR). Somatostatin receptor scintigraphy and conventional imaging are used to detect NETs. This study proposes 68Gallium(68Ga)-DOTATOC positron emission tomography/computed tomography (PET/CT) is superior to current imaging techniques. The goal is to evaluate the safety and sensitivity of 68Ga-DOTATOC PET/CT at detecting NETs and other tumors with over-expression of somatostatin receptors.
The study aims to compare the results between colonoscopies with two different attachments on the distal end of the colonoscope.
This study evaluates whether the use of a disposable colonoscope attachment, Endocuff Vision, can increase the detection of sessile serrated adenomas. Participating patients will be randomized to receive either standard colonoscopy or colonoscopy with the Endocuff Vision.
Prospective, randomized multi-center trial. Comparison of Endoscopic Mucosal Resection (EMR) versus Endoscopic Full-Thickness Resection with the duodenal Full-Thickness Resection Device (dFTRD) of non-ampullary duodenal adenomas.
The purpose of this observational study is to record performance of a double balloon endolumenal interventional platform during complex colon polypectomy.
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.
The treatment of early gastric cancer can be divided into endoscopic resection and surgery, and the precise staging of early gastric cancer is very important to prevent unnecessary surgery or additional surgery after the procedure. The possibility of endoscopic resection is determined by the risk of lymph node metastasis. The risk factors of lymph node metastasis of early gastric cancer are lesion size, presence of ulceration, histologic differentiation, and depth of invasion. In contrast to other factors, the factor of invasion depth is relatively difficult to predict by using the conventional white light endoscopy (WLE). Therefore, the endoscopic ultrasonography (EUS) has been tried to use for prediction of the invasion depth. However, many studies reported that the accuracy of endoscopic ultrasonography for predicting the depth of invasion was varied. A system consisting of a magnifying endoscope combined with narrow-band imaging (NBI), with the spectral band width narrowed by optical filters, was developed to enhance visualization of mucosal surface structure and vascular architecture. There were some reports that the magnifying endoscopy with narrow band imaging (ME-NBI) is superior to predict the histologic differentiation, depth of invasion and lesion margin than WLE. In this study, we divide the patients with suspected early gastric cancer (EGC) into the two groups as group using conventional WLE and EUS and group using WLE and ME-NBI, and try to compare the accuracy of EUS and ME-NBI for predicting the invasion depth of EGC. We also try to analyze the factors that affect the accuracy for predicting of depth such as characteristics of cancer lesion and histologic differentiation of cancer in each group. In addition, we try to analyze the characteristic imaging findings of ME-NBI for early gastric cancer and gastric adenoma and evaluate the efficacy of ME-NBI for early gastric cancer and gastric adenoma diagnosis.