NCT06387004Completed
Radiation-Related Dysphagia Development Prediction Using a Two-Step Ultrasonographic Model (R-2D-2)
Evaluation of the Prognostic Value of Aerodigestive Tract Ultrasound in the Occurrence of Radiotherapy-related Swallowing Disorders in Head and Neck Cancer Patients
Source: ClinicalTrials.gov · Last updated 23 Sept 2026
Brief summary (registry, in English)
Radiotherapy for head and neck cancers (H\&NC) heightens the risk of swallowing disorders (SD), impacting nutrition, quality of life, and overall health, leading to increased hospitalization and mortality. Dietary plans hinge on patients' nutritional status, swallowing ability, and prognosis. Early interventions are crucial, emphasizing the need for precise assessments guiding prognosis, specifying structures for intervention, and facilitating targeted rehabilitation. Clinical examinations lack precision, while existing complementary methods like videofluoroscopy or Fiberoptic Endoscopic Evaluation of Swallowing are invasive, irradiating, resource-intensive, and challenging to access, with uncertain prognostic values. Ultrasound imaging emerges as a non-invasive alternative, offering morphological and dynamic evaluation of swallowing-related structures. It enables qualitative and quantitative analyses, improving precision in targeting structures for rehabilitation. Researchers propose an ultrasound predictive model to anticipate SD risk during H\&NC radiotherapy, assessing its reliability and accuracy. Over eighteen months, 124 outpatients beginning H\&NC radiotherapy at Forcilles's Hospital will undergo weekly clinical and water-swallow tests by a speech language therapist, with videofluoroscopy when SD is suspected. Ultrasound evaluations pre-treatment and at seven and fourteen days will be conducted by blinded ultrasonographers. Cox models will test ultrasound measurement thresholds for SD prediction, estimating sensitivity, specificity, and prediction values. A global ultrasound predictive model will be developed via logistic multivariable regression. The study aims to establish an association between ultrasound markers and SD, improving early detection for tailored management. This non-invasive alternative to videofluoroscopy offers potential for enhancing patient outcomes in H\&NC radiotherapy.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 112 (actual)
- First submitted
- 1 Mar 2024
- Start date
- 18 Jan 2024
- Primary completion date
- 18 Feb 2025
- Lead sponsor
- Hopital Forcilles
- Diseases
- Head and neck cancer
- NCT number
- NCT06387004
What you commit to
- Study type: Observational
- Participants enrolled: 112
- From 18 Jan 2024 to the primary completion date, 18 Feb 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Patients with DR before the start of radiotherapy;
Other illness
- Patients with neurological disorders;
Other
- Patient's refusal to participate in the study ;
- Person subject to a safeguard of justice measure ;
- Patient under guardianship;
- Patient with limited care.
Who the study is looking for
- Patients admitted to Hôpital Forcilles for head and neck cancer radiotherapy;
- Ultrasound operator available ;
- Patient at least 18 years old at the time of inclusion;
- Membership of a social security scheme or beneficiary of such a scheme ;
- Oral, free, informed and express patient consent.
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Hôpital Forcilles Coordinator of this site? Confirm its status | Férolles-Attilly | France | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.