View clinical trials related to Colon Cancer.
Filter by:To understand and analyse the global impact of COVID-19 on outpatient services, inpatient care, elective surgery, and perioperative colorectal cancer care, a DElayed COloRectal cancer surgery (DECOR-19) survey was conducted in collaboration with numerous international colorectal societies with the objective of obtaining several learning points from the impact of the COVID-19 outbreak on our colorectal cancer patients which will assist us in the ongoing management of our colorectal cancer patients and to provide us safe oncological pathways for future outbreaks.
Malnutrition and loss of muscle mass frequently occur in patients undergoing chemotherapy and can negatively effect therapy outcome. Especially patients with cancer of the gastrointestinal tract are often affected by malnutrition. Therefore, this study aims to examine changes in nutritional status of patients with cancer of the gastrointestinal tract during chemotherapy. Findings of this study will help to improve nutritional treatment of patients undergoing chemotherapy.
Patients diagnosed with T4 colorectal cancer represent a specific subgroup of colorectal patients, frequently composed of fragile patients whose advanced nature of the disease often requires a multi organ resection by an open surgery approach and frequently leads to higher intra/postoperative complication.Those characteristics makes them to be considered less suitable for ERAS protocol, especially regarding an expected difficult compliance to postoperative items. The impact of enhanced recovery program on postoperative outcomes in this subset of patients has never been addressed in literature, in fact most of studies either excluded T4 patients due to higher rates of complication or adopted an homogeneous patient sampling analizing all stage colorectal cancer together. Our aim is to investigate the feasibility of ERAS protocol in T4 colorectal patient, primary outcome was to compare postoperative lenght of stay between T4 colorectal patients treated with ERAS protcol and those treated with standard of care.
The study is a cross-sectional survey study targeting patients aged 45-75 who had their screening or surveillance colonoscopy postponed or delayed due to the COVID pandemic. Study staff will survey a random subsample of patients to assess anxiety, COVID risk tolerance, cancer worry, willingness to screen and barriers to screening colonoscopy, and preference for colonoscopy and alternative colon cancer screening options. Eligible patients will be sent a survey packet in the mail that will include a cover letter, an information sheet describing the study, an incentive, and the survey. The cover letter will include information for participants to opt-out if they desire. Patients will be asked to complete the survey and return it back to study staff. Consent is implied with return of the survey. For the study, staff plan to invite 300 patients and expect to receive 195 completed surveys. Analyses will examine whether COVID-19 has changed patients' interest in colon cancer screening and the strength of patients' preferences for colonoscopy and other approaches to colon cancer screening. It will then examine factors associated with positive and negative views on rescheduling colonoscopies such as anxiety, worry, and risk perceptions.
The study aim to investigate the value of the current definition of microradical resection margin in colon cancer. Is the distance from tumor tissue to resection margin and the site of any clinically prognostic importance if complete mesocolic excision has been performed.
The main purpose of this study is to investigate whether magnetic ressonance imaging (MRI) can be used in treatment planning with assessment of diagnostic accuracy. With the inclusion of 150 patients the study will investigate whether MRI is useful and better than CT scanning in patients with colon tumors. And also if MRI is useful after neoadjuvant treatment.
Approximately 20-30 % of colon cancer patients who have no metastasis in lymph nodes after definitive colectomy have recurrence with distant metastasis. These recurrences could be due to missed occult tumor cells or micrometastasis. Detailed examination of all lymph nodes is expensive and time consuming. Sentinel lymph node mapping using Indocyanine green dye helps in identifying the lymph nodes which are most likely to harbour metastasis. These sentinel lymph nodes can be subsequently subjected to detailed pathologic examination and immunohistochemistry which increases the likelihood of identifying micrometastasis and occult tumor cells. Patients found to harbour such metastasis can be treated with additional chemotherapy after surgery. The aim of the study is to examine the feasibility of sentinel lymph node mapping using Indocyanine green dye in colon cancer and evaluate the upstaging rate in post-operative colon cancer patients who don't have metastatic lymph nodes on routine histopathology.
A randomized control trial to evaluate the feasibility of implementing a patient educational platform (PEP) for patients with gastrointestinal malignancies undergoing active chemotherapy treatment.
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.