Active clinical trials for "Adenoma"

This is a multicenter, clinical study. This study is to evaluate the sensitivity of plasma ctDNA methylation haplotypes in detecting colorectal cancer, adenoma and the specificity in healthy individuals.

The Italian screening program invites the resident population aged 50-74 for Fecal Immunochemical Test (FIT) every 2 years. Subjects who test positive are referred for colonoscopy. Maximizing adenoma detection during colonoscopy is of paramount importance in the framework of an organized screening program, in which colonoscopy represent the key examination. Initial studies consistently show that Artificial iIntelligence-based systems support the endoscopist in evaluating colonoscopy images potentially increasing the identification of colonic polyps. However, the studies on AI and polyp detection performed so far are mostly focused on technical issues, are based on still images analysis or recorded video segments and includes patients with different indications for colonoscopy. At the best of our knowledge, data on the impact on AI system in adenoma detection in a FIT-based screening program are lacking. The present prospective randomized controlled trial is aimed at evaluating whether the use of an AI system increases the ADR (per patient analysis) and/or the mean number of adenomas per colonoscopy in FIT-positive subjects undergoing screening colonoscopy. Therefore Patients fulfilling the inclusion criteria are randomized (1:1) in two arms: A) patients receive standard colonoscopy (with high definition-HD endoscopes) with white light (WL) in both insertion and withdrawal phase; all polyps identified are removed and sent for histopathology examination; B) patients receive colonoscopy examinations (with HD endoscopes) equipped with an AI system (in both insertion and withdrawal phase); all polyps identified are removed and sent for histopathology examination. In the present study histopathology represents the reference standard.

Preoperative evaluation of cavernous sinus invasion by pituitary adenoma is critical for performing safe operation and deciding on surgical extent as well as for treatment success. Because of the small size of the pituitary gland and sellar fossa, determining the exact relationship between the pituitary adenoma and cavernous sinus can be challenging. Performing thin slice thickness MRI may be beneficial but is inevitably associated with increased noise level. By applying deep learning based denoising algorithm, diagnosis of cavernous sinus invasion by pituitary adenoma may be improved.

This study evaluates the retinal vascular features using optical coherence tomography angiography in patients that received endoscopic endonasal approach for the removal of an intra-suprasellar pituitary adenoma compressing the optic nerve.

To date, there is a lack of large-scale randomized controlled study using AI assistance in the detection of polyps/adenoma in a screening population. The correlation of fecal occult blood test (FIT or FOBT) and the advantage of AI-assisted colonoscopy has not been investigated. There is also a lack of information of the benefit of AI-assisted colonoscopy in experienced colonoscopist versus trainee/resident.

This study investigates the retinal vascular features, using optical coherence tomography angiography, in patients during one year's follow up after the endoscopic endonasal surgery to remove an intra-suprasellar pituitary adenoma compressing the optic nerve.

The leading cause of primary hyperparathyroidism (pHPT) is a solitary adenoma (89%). The treatment of pHPT is generally surgical removal of the overactive parathyroid gland(s). Since a solitary adenoma is the predominant cause, parathyroid surgery is preferably performed through a minimally invasive parathyroidectomy (MIP) in which only the suspected adenoma causing the pHPT is resected in a focused manner. To facilitate the performance of a MIP, accurate preoperative imaging is pivotal. This study aimed to analyze the diagnostic performance of 11C-choline PET/CT after prior negative or discordant first-line imaging in patients with pHPT undergoing parathyroid surgery with an optimized imaging protocol.

All early colorectal cancers (T1-T2) treated in the Region Västra Götaland from 2007-2020 will be evaluated. To establish the extent to which early colorectal cancers have been treated with local excision? How have treatment strategies changed over time? The study will provide information on where these patients have been treated in the Region Västra Götaland. During the study period, ESD was introduced as a treatment modality, and it will investigated how this may have influenced treatment strategies for complex adenomas. Clinical outcome measures will include recurrence rates and re-intervention rates for the respective treatments. Possible areas of improvement will be identified and determine if evidence based and best practice guidelines are met with the current treatment strategies in Region Västra Götaland.

Colonoscopy is a key technique in the detection and diagnosis of lower gastrointestinal diseases. High quality endoscopy results in better disease outcomes. However, the operant level of different endoscopists is significantly different.This study aims to construct a real-time quality monitoring system based on computer vision, named Endo.Angel, which is used to monitor the velocity of insertion of the endoscope, record the time of insertion and withdrawal of the endoscope, and remind endoscopists of the blind areas caused by intestinal segment slipping.

The study aims to: Achieve molecular imaging of EGFR in patients with colorectal neoplasia in vivo using confocal laser endomicroscopy. Compare the results of in vivo EGFR-specific molecular imaging with CLE and ex vivo immunohistochemistry .