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Rectal Neoplasms clinical trials

View clinical trials related to Rectal Neoplasms.

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NCT ID: NCT06314750 Active, not recruiting - Clinical trials for Locally Advanced Rectal Carcinoma

Deep Learning Based MRI Radiomics in Predicting the Clinical Risk of Locally Advanced Rectal Cancer

Start date: January 1, 2010
Phase:
Study type: Observational

Neoadjuvant therapy is the standard diagnosis and treatment strategy for locally advanced rectal cancer defined by MRI in order to achieve tumor regression, thus affecting the selection of surgical strategy and circumferential margin, improving the safety of operation and the prognosis of patients. This study focused on the related clinical factors such as tumor regression before and after neoadjuvant therapy, combined with preoperative high-dimensional features such as radiomics, to predict the related factors of tumor regression of locally advanced rectal cancer, and validate it with multicenter. In order to develop an accurate model that can be applied to the real world and stratify the risk of locally advanced rectal cancer patients before treatment.

NCT ID: NCT06212128 Active, not recruiting - Rectal Cancer Clinical Trials

RAPIDO vs LCRT vs Upfront Surgery - a Prospective Cohort Study

RAPIDO
Start date: January 1, 2016
Phase:
Study type: Observational [Patient Registry]

Aim: We evaluated the surgical outcomes of 3 groups of patients with rectal cancers - RAPIDO vs standard long course radiotherapy (LCRT) vs upfront surgery to objectively determine the effects of TNT on TME. Methods: A review of prospectively collected data was performed for patients who have rectal cancer and underwent low anterior resection from January 2016 to May 2022. Data on patient demographics, disease staging, peri-operative details and up to 2-year follow-up outcomes were analysed. The surgical and oncological outcomes were compared. Patients were followed up until 31 May 2022.

NCT ID: NCT06181201 Active, not recruiting - Cancer of Rectum Clinical Trials

Association Between the Composition of the Intestinal Microbiota and Tumor Response in Locally Advanced Rectal Cancer

Neo-Flo-Rect
Start date: January 19, 2024
Phase:
Study type: Observational

This is an observational, single-centre study (RIPH3) for patients with rectal cancer soon to be treated with chemotherapy (+/- neo-adjuvant radio-chemotherapy) looking at the relationship between the composition of the gut microbiota before treatment and the tumour response after chemotherapy +/- radio-chemotherapy

NCT ID: NCT05877352 Active, not recruiting - Clinical trials for Locally Advanced Rectal Cancer

Intraoperative Electron Radiotherapy in Rectal Cancer - A Feasibility Trial

ELECTRA
Start date: May 18, 2022
Phase: N/A
Study type: Interventional

Single centre double-blinded three-arm randomised controlled trial of extended margin surgery + IOERT at standard dose (10 Gy) versus extended margin surgery + IOERT at higher dose (15 Gy) versus extended margin surgery alone in a 1:1:1 ratio in patients with Locally Advanced Rectal Cancer (LARC) or Locally Recurrent Rectal Cancer (LRRC).

NCT ID: NCT05868317 Active, not recruiting - Rectal Cancer Clinical Trials

Induction Chemotherapy Followed by Short Course Radiotherapy in Rectal Cancer

Start date: November 1, 2020
Phase: Phase 2
Study type: Interventional

A Single-arm phase II trial evaluating induction chemotherapy with FOLFIRINOXm followed by short course radiotherapy (RT) in locally advanced rectal carcinoma

NCT ID: NCT05745909 Active, not recruiting - Neoplasms Clinical Trials

Trial Comparing Loop Ileostomy Versus Loop Transverse Colostomy

LIVELOC
Start date: March 1, 2023
Phase: N/A
Study type: Interventional

The purpose of this study is to determine which stoma creation technique is preferable after low anterior resection of the rectum.

NCT ID: NCT05688033 Active, not recruiting - Rectal Cancer Clinical Trials

Dosimetric Limitation of Pelvic Bone and Peritoneal Space in Rectal Cancer Patients During Chemoradiotherapy

Start date: January 1, 2021
Phase: N/A
Study type: Interventional

This project first retrospectively analyzes the intestinal dose indicators related to the concurrent radiotherapy and chemotherapy of rectal cancer and gastrointestinal toxicity, and the pelvic dose indicators related to hematological toxicity, and then prospectively conducts radiotherapy based on the dose indicators most closely related to toxicity. The dose is limited when the plan is made to reduce the gastrointestinal and hematological toxicity of rectal cancer with concurrent radiotherapy and chemotherapy.

NCT ID: NCT05445245 Active, not recruiting - Rectal Cancer Clinical Trials

The Longitudinal Study of Low Anterior Resection Syndrome in Patients With Newly Diagnosed Rectal Cancer.

Start date: April 14, 2022
Phase:
Study type: Observational

The aims are to identify the trajectory of LAR Syndrome and explore the adaptation process and coping strategies of LAR Syndrome in patients newly diagnosed with rectal cancer. The participants will recruit from a CRC surgical outpatient department of a medical center in northern Taiwan.

NCT ID: NCT05374044 Active, not recruiting - Rectal Cancer Clinical Trials

Establishment of MRI Model for pTRG in Rectal Cancer With Establishment of

Start date: May 18, 2020
Phase:
Study type: Observational

This study proposeto integrate a variety of imaging quantitative indicators to establish a new MRI-based tumor response regression(mrTRG) classification method. The accuracy of the established mrTRG classification method according pathology TRG(pTRG) will be tested. The ability of the established mrTRG classification method to predict prognosis will also be tested.

NCT ID: NCT05331040 Active, not recruiting - Rectal Cancer Clinical Trials

Radiomics in Rectal Cancer

Start date: May 1, 2020
Phase:
Study type: Observational

This retrospective study aims to investigate whether initial imaging characteristics of rectal cancer on Magnetic Resonance Imaging (MRI) correlate with the underlying tumour pathology and oncological outcomes such as response to treatment. Using radiomic features, calculated using new high throughput analysis of previously acquired imaging, a statistically robust prognostic model will be created with the overall aim of developing imaging biomarkers.