View clinical trials related to Colon Cancer.
Filter by:The BESPOKE CRC study will prospectively enroll patients who have undergone surgery for stage I to IV colorectal cancer (CRC) and who have residual formalin-fixed paraffin-embedded (FFPE) tissue available will provide FFPE and whole blood samples. Patients will receive SIGNATERA™ test results and may be recommended for post-operative systemic therapy or observation by their treating clinician. Patients will be followed for up to two years with periodic whole blood collection. The study also has a control arm that will consist of matched Stage I to IV CRC cases that have a minimum of least 2 years clinical follow-up data.
Colonoscopy is clinically used as the gold standard for detection of colon cancer (CRC) and removal of adenomatous polyps. Despite the success of colonoscopy in reducing cancer-related deaths, there exists a disappointing level of adenomas missed at colonoscopy. "Back-to-back" colonoscopies have indicated significant miss rates of 27% for small adenomas (< 5 mm) and 6% for adenomas of more than 10 mm in diameter. Studies performing both CT colonography and colonoscopy estimate that the colonoscopy miss rate for polyps over 10 mm in size may be as high as 12%. The clinical importance of missed lesions should be emphasized because these lesions may ultimately progress to CRC. Limitations in human visual perception and other human biases such as fatigue, distraction, level of alertness during examination increases such recognition errors and way of mitigating them may be the key to improve polyp detection and further reduction in mortality from CRC. In the past years, a number of CAD systems for detection of polyps from endoscopy images have been described. However, the benefits of traditional CAD technologies in colonoscopy appear to be contradictory, therefore they should be improved to be ultimately considered useful. Recent advances in artificial intelligence (AI), deep learning (DL), and computer vision have shown potential to assist polyp detection during colonoscopy. Average experienced endoscopists (each having performed <2000 screening colonoscopies) will perform the endoscopic procedure.
In this study, we aimed to develop a predictive model of lymph node yield in a series of colon cancer resection specimens with detailed anatomic and surgical technique data.
PEGASUS is a prospective multi-centric study designed to prove the feasibility of using liquid biopsy to guide the post-surgical and post-adjuvant clinical management in 140 microsatellite stable Stage-III and T4N0 Stage-II colon cancer patients.
A centralized unit for integrated management of care pathway in Oncology has been created. This unit settles the patients' appointments (biopsy, intravenous device, chemotherapy, imaging, oncologist...). The aim of this study is to assess the delay between the first appointment with the oncologist and the beginning of the antitumoral treatment, and therefore evaluate the efficacy of the care pathway unit. The second aim is to assess the satisfaction of patients and health care teams.
This study evaluates the ability of endoscopists to perform a complete optical diagnosis of colorectal polyps between 5 and 15 mm, and the impact of the only endoscopic diagnosis on the follow-up program for those patients. This is a prospective study in which we compare the diagnosis regarding size and histology made by the endoscopist versus de pathologic diagnosis.
This study will gather information on the safety and effectiveness of pembrolizumab, an immunotherapy drug. The purpose of this study is to target early stage colon cancer before it has developed resistance to immunotherapy.
A prospective validation of real time deep learning artificial intelligence model for detection of missed colonic polyps
Colorectal carcinoma with liver metastasis is one of the major problems bothering physicians worldwide. Bevacizumab combined with chemotherapy is the standard treatment recommended by several guidelines. Despite the high cost, a certain portion of patients couldn't benefit from this therapy. This study is aiming to find out the specific type of patients who would respond to bevacizumab by Radiomics approach, and evaluate the prediction value of this imaging model with clinical and genetic factors.
The comparison between total laparoscopic and laparoscopic assisted left hemicolon cancer resection underwent to choose a more effective and safe operation.