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Active clinical trials for "Gastrointestinal Neoplasms"

Results 201-210 of 614

A Population-based, Multicenter Cohort Study of Combined Screening for Gastrointestinal Tumors

Digestive Disease

To establish combined gastroenteroscopy screening and follow-up management for gastrointestinal tumors, explore and evaluate the feasibility and health economic benefits of combined screening for esophagus, stomach and colorectal cancer

Recruiting11 enrollment criteria

Evaluation of Neoplasia With Artificial Intelligence in Gastrointestinal Endoscopy

Gastrointestinal Neoplasms

This study aims to validate and evaluate AI algorithms for detection and characterization of early GI neoplasia.

Recruiting7 enrollment criteria

Improving Cancer Symptom Management

CancerThoracic Neoplasms2 more

Patient-reported outcome measures (PROMs) is an umbrella term that refers to any report on a health status measure that is reported directly by the patient, without the influence of clinicians or anyone else. PROMs have been shown to more closely reflect a patient's daily health status when compared to physician-reported measures. However, research is needed to evaluate if patient symptom reporting during definitive-intent radiotherapy allows earlier and improved detection of treatment toxicity. The IMPROVE pilot study will describe the proportion of patients with cancer with changes in physician-perception of treatment-related toxicity that result from routine physician review of PROMs reported during definitive radiotherapy.

Recruiting10 enrollment criteria

Gastrointestinal Emergency Surgery: Evaluation of Morbidity and Mortality

Gastrointestinal InjuryGastrointestinal Hemorrhage4 more

Gastrointestinal Emergency Surgery: Evaluation of Morbidity and Mortality

Recruiting6 enrollment criteria

Frailty in Patients With Gastrointestinal Cancer Who Are Undergoing Major Surgery

Gastrointestinal Cancer

This research is for patients who have gastrointestinal cancer and have a planned major surgery. The purpose of this research is to identify cancer patients who may be at risk for frailty. Frailty is common in older adults and may include symptoms of weight loss, weakness, fatigue, low activity, slow walking and other illnesses. Frailty may increase the risk of problems after major surgery. The study will involve a survey, a blood sample, and a review of medical records.

Recruiting6 enrollment criteria

Genomic Investigation of Unusual Responders

CancerBreast Cancer9 more

Studies have shown that tumors from the same patient may respond very differently to the same therapeutic agents. This study aims to investigate the genetic basis of tumors that respond abnormally well or poorly to therapeutic agents in an effort to understand the fundamental genetic basis of this response. The present protocol seeks to retrospectively perform Exome, next-generation (DNA) sequencing and/or other molecular techniques on tumor samples to identify the genetic basis of a patient's exceptional response to chemotherapy.

Recruiting8 enrollment criteria

Clinical Outcomes of the Endoscopic Resection of Premalignant and Malignant Gastrointestinal Lesions...

Gastrointestinal NeoplasmsBenign Neoplasm of Intestinal Tract

To evaluate clinical outcome for patients receiving treatment of suspected premalignant and malignant gastrointestinal lesions at Interventional Endoscopy Services. The primary outcome is curative endoscopic resection. Secondary outcomes include resection technique utilized, rates of en bloc resection and adverse event rates, including infection, bleeding, perforation and death, and one-year survival rates.

Recruiting2 enrollment criteria

Ontario-wide Cancer TArgeted Nucleic Acid Evaluation

Breast CancerLung Cancer9 more

Substantial progress has been made in the treatment of cancer through the use of targeted therapies, but what works for one patient might not work for another patient. Certain drugs are now being developed that target specific molecules in the body that are believed to be part of the disease. Biomarkers are specific characteristics of the cancer that may help provide prognostic information (e.g. how well patients will be regardless of the treatments given) or help predict sensitivity or resistance to a specific treatment. The study will collect archival tumor samples (previously collected biopsy or surgical tumor samples) to provide biomarker data about a patient's cancer, which may help their physicians to identify which clinical trials of new drug treatments may be most appropriate for the patient in the future and may also guide the use of approved treatments that may potentially benefit the patient. Another goal of this study is to develop a province-wide registry of targeted gene sequencing testing results that will be made available to cancer researchers. Additional tumour tissue and blood samples collected from all study participants will also be stored in a biobank at the Ontario Institute for Cancer Research for future research. The study will also look at linking data from this study to other health care databases to further collect information about the health care the patients received, including medical tests, clinic visits, or procedures both before and after participating in this study. Having more information about patient health to relate to the DNA sequences may provide new insights into cancer and its treatment.

Recruiting8 enrollment criteria

Artificial Intelligence and Cancer Staging in Upper Gastrointestinal Malignancies

Gastrointestinal Cancer

Esophageal and stomach cancers, which constitute cancers of the upper region of the digestive system, are cancers that are frequently observed and unfortunately have a low rate of cured patients. In these cases, the stage of cancer at diagnosis is very important for two reasons; First, the stage of the cancer is directly related to the survival time. Secondly, treatment is planned according to the stage. Different treatments are applied to patients at different stages. Currently, the TNM staging (Tumor, Lymph Node and Metastases) system is the accepted one worldwide. Despite many advanced technology tools used in staging (Computed Tomography, Magnetic Resonance Imaging, Endoscopic Ultrasonography), there are still difficulties in correct staging before surgery or before-after neoadjuvant therapy. Artificial intelligence techniques are increasingly used in the field of health, especially in the diagnosis and treatment of cancers. Obtaining cancer details in radiological images, which cannot be noticed by the human eye, by analyzing big data with the help of algorithms gave rise to the application area of "radiomics". It is stated that with Radiomics, there will be improvements in both the diagnosis and staging of cancers and, accordingly, in the treatment. While there are studies on the use of endoscopic methods with artificial intelligence for the early diagnosis of esophageal cancers, a limited number of studies have been conducted on stage estimation from radiological images. In particular, there are not enough studies on the investigation of changes in tumor size after chemotherapy with artificial intelligence and the estimation of staging. In this study, it was aimed to investigate the predictive efficiency of staging and the accuracy of the algorithm developed with artificial intelligence by processing tomography images in a region where esophageal cancers are endemic as a primary outcome and to evaluate the post-treatment mortality, morbidity rates and complication rates of the patients as a secondary outcome.

Recruiting9 enrollment criteria

Nutritional and Functional Assessment of Patients Undergoing Surgery Due to Gastrointestinal Cancer...

Gastrointestinal Cancer

Several patients that suffer from gastrointestinal (GI) cancer are characterized by malnutrition and impairment of their functional status. The aim of the present study is to evaluate the nutritional condition of patients undergoing surgery due to GI cancer and compare it with their functional status. All consecutive patients with esophageal, gastric, colorectal, hepatocellular, pancreatic and biliary cancer, that underwent a surgical operation will be included. Demographic characteristics, nutritional assessment and anthropometric measurements of the patients will be recorded.

Recruiting3 enrollment criteria
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