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3 clinical studies listed.
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Tundra lists 3 Rectal Cancers clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT07516210
Adaptive Radiotherapy for Safe Hypofractionation
This phase II, registry-based cohort-multiple randomized controlled trial (cmRCT) evaluates whether daily online adaptive radiotherapy (ART) enables the safe delivery of hypofractionated, iso-biologically equivalent (EQD2) external beam radiotherapy compared with standard-of-care (SOC) fractionation. Conventional radiotherapy requires generous planning target volume (PTV) margins to account for inter-fraction anatomical variation, which increases radiation exposure to surrounding organs at risk (OARs) and may contribute to toxicity. Modern ART platforms using daily on-table imaging (kV-CBCT or MRI guidance) allow real-time contour adaptation and online plan re-optimization based on same-day anatomy. This approach enables margin reduction while maintaining target coverage and may permit safe hypofractionation. Eligible patients enrolled in an institutional prospective registry will be randomized (1:1) to receive either SOC radiotherapy or hypofractionated ART across multiple pelvic disease strata (post-prostatectomy prostate cancer, intact prostate cancer, endometrial cancer, cervical cancer, and rectal cancer). The primary objective is to demonstrate non-inferiority of hypofractionated ART compared with SOC in terms of cumulative incidence of Grade ≥2 toxicity (CTCAE v5). Secondary outcomes include acute and late toxicity, oncologic outcomes (progression-free survival, locoregional failure, distant metastases, overall survival), patient-reported outcomes, treatment efficiency, and dosimetric parameters. A Bayesian monitoring framework with pre-specified safety and futility stopping rules will be used to ensure patient safety and clinical equipoise throughout the trial.
Gender: All
Updated: 2026-04-07
1 state
NCT07509632
Predicting Pathological Complete Response in Rectal Cancer Using Machine Learning
This study aims to develop and validate a robust machine learning-based prediction model utilizing baseline clinical data and magnetic resonance imaging (MRI) features. The objective is to preoperatively predict the probability of achieving a pathological complete response (pCR) in patients with locally advanced rectal cancer (CRC) following neoadjuvant chemoradiotherapy (nCRT).
Gender: All
Ages: 18 Years - Any
Updated: 2026-04-03
1 state
NCT07494201
MIMICC Study in Patients With Colorectal Cancer
This multicenter prospective interventional study will evaluate stool and saliva microRNA expression and microbiome composition in patients with histologically confirmed colon or rectal cancer during key phases of the diagnostic and therapeutic pathway. The study aims to confirm and refine molecular signatures associated with colorectal cancer, assess the diagnostic and prognostic potential of salivary biomarkers, and characterize dynamic molecular changes during treatment and follow-up
Gender: All
Ages: 18 Years - 75 Years
Updated: 2026-03-27
1 state