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Active clinical trials for "Rectal Neoplasms"

Results 1261-1270 of 1338

Development and Validation of The Post-RT LARS Prediction Model (PORTLARS)

Low Anterior Resection SyndromeRadiotherapy1 more

Bowel dysfunction is common after a restorative rectal cancer resection. Neoadjuvant radiotherapy is an influential factor that impairs bowel function and quality of life. However, almost half patients who have received primary surgery with preoperative radiotherapy are able to restore a good or moderate bowel function in the long term. This multicenter observational study aims to identify the risk factors of severe bowel dysfunction after rectal cancer resection and neoadjuvant radiotherapy, in accordance with the LARS score, and to build a model that predicts long-term major LARS in the early stage of follow-up. Development and validation cohorts are enrolled from tertiary hospitals in China.

Completed9 enrollment criteria

Total Neoadjuvant Therapy Versus Standard Therapy of Locally Advanced Rectal Cancer With High Risk...

Rectal Cancer

In a retrospective study, the investigators will compare patients with locally advanced rectal cancer with high risk factors for failure who were treated with standard therapy or with total neoadjuvant therapy.

Completed6 enrollment criteria

Assessing the Additional Neoplasia Yield of Computer-aided Colonoscopy in a Screening Setting

Colonic NeoplasmsColonic Adenocarcinoma3 more

Even if colonoscopy is considered the reference standard for the detection of colonic neoplasia, polyps are still missed. The risk of early post-colonoscopy cancer appeared to be independently predicted by a relatively low polyp/adenoma detection rate. When considering the very high prevalence of advanced neoplasia in the FIT-positive enriched population, the risk of post-colonoscopy interval cancer due to a suboptimal quality of colonoscopy may be substantial. Available evidence justifies therefore the implementation of efforts aimed at improving adenoma detection rate, based on retraining interventions and on the adoption of innovative technologies, designed to enhance the accuracy of the endoscopic examination. Artificial intelligence seems to improve the quality of medical diagnosis and treatment. In the field of gastrointestinal endoscopy, two potential roles of AI in colonoscopy have been examined so far: automated polyp detection (CADe) and automated polyp histology characterization (CADx). CADe can minimize the probability of missing a polyp during colonoscopy, thereby improving the adenoma detection rate (ADR) and potentially decreasing the incidence of interval cancer. GI Genius is the AI software that will be used in the present trial and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis. The objective of this study was to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC).

Unknown status3 enrollment criteria

Quality of Life After Rectal Cancer Surgery

Rectal CancerQuality of Life

Following colorectal surgery, many patients face a combination of physical and emotional problems for a long period of time. Symptoms such as pain, fatigue, and disturbed bowel and sexual function, as well as problems in social and role functioning, inevitably affect the patients' well-being. Therefore, evaluation of the self-reported quality of life (QoL) is becoming increasingly important in clinical trials. The investigators aimed to compare long term health related life quality (HRQoL) results of laparoscopic approach with open approach in patients with sphincter preserving resections for rectal cancer at a single-center.

Completed10 enrollment criteria

RadioPathomics Artificial Intelligence Model to Predict nCRT Response in Locally Advanced Rectal...

Rectal Cancer

In this study, investigators utilize a radiopathomics integrated Artificial Intelligence (AI) supportive system to predict tumor response to neoadjuvant chemoradiotherapy (nCRT) before its administration for patients with locally advanced rectal cancer (LARC). By the system, whether the participants achieve the pathologic complete response (pCR) will be identified based on the radiopathomics features extracted from the pre-nCRT Magnetic Resonance Imaging (MRI) and biopsy images. The predictive power to discriminate the pCR individuals from non-pCR patients, will be validated in this multicenter, prospective clinical study.

Completed12 enrollment criteria

Sentinel Lymph Node Mapping in Rectal Cancer

Rectal Neoplasms

The purpose of this study is to develop a technique that allows physicians to identify the first lymph nodes draining from a rectal tumor (the sentinel lymph nodes). Currently, there is no technique used to find these lymph nodes in the rectum during surgery and therefore many patients with rectal cancer need to undergo a total rectal resection. Dyes, tracers, imaging and a gamma probe will be used in this study during a standard minimally invasive transanal endoscopic surgery (TES) to try to locate these lymph nodes. If surgeons are able to locate these lymph nodes they will be removed during surgery. If the technique is successfully developed as a result of this research, it could help patients in the future with early stage rectal cancer by allowing doctors to see if their cancer has spread to the lymph nodes of the rectum without having to undergo a total rectal resection. These patients would then be able to undergo a TES combined with a lymph node dissection to gain more knowledge about the stage of their disease. This knowledge would then be used to determine if and what further treatment is necessary for the patient's rectal cancer.

Unknown status11 enrollment criteria

A Prospective Feasibility Study for TAMIS

Rectal Cancer

Most recently, the Transanal Minimally Invasive Surgery (TAMIS) approach combined with single-port technology has allowed that pelvic surgery can be laparoendocopically performed from both its abdominal and perineal aspects.Previously, a strong negative association between medium- and long-term survival and male gender with narrow pelvis have been reported. TAMIS has a significant potantial for improving the quality of the surgical resection of rectal tumors in men with visceral obesity and narrow pelvis. This group of patients have also a high rate of conversion to open surgery. Focusing on improvement in intraoperative conditions and surgical techniques rather than routine conventional procedures may be the way to go concerning favorable short- and long-term outcomes. The selection of adequate surgical approach to the high-risk patients with visceral obesity and a bulky mesentery may prevent or limit the risk for anastomotic leakage and improve oncologic margin clearence. This is a prospective observational feasability study of the TAMIS-procedure.

Completed12 enrollment criteria

PET/MRI as a Predictor of Response to Pre-op Chemoradiation in Resectable Rectal Cancer: a Pilot...

Rectal Carcinoma

This is a single arm, single center pilot study of 40 patients with uT3N0 or uT1-3N+ rectal cancer receiving pre-operative chemoradiation. Subjects will undergo PET/MRI scans before and after surgery.

Completed28 enrollment criteria

Rectal Cancer Staging Using Whole Body MR-PET

Rectal Cancer

The purpose of this study is to measure the diagnostic performance of whole body (WB) MR-PET for staging rectal cancer, compared with current standard of care (chest/abdominopelvic CT and rectal MRI) to investigate clinical feasibility of WB MR-PET as a one-stop preoperative imaging modality in patients with rectal cancer.

Completed9 enrollment criteria

Day-Case Closure of Loop Ileostomy in Rectal Cancer

Ileostomy Closure in Rectal Cancer

The aim of this study is to investigate if day-case closure of ileostomy is feasible and safe.

Completed27 enrollment criteria
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