Development of a Clinical Screening, Diagnostic and Evaluation Tool for Patients With Lower Limb Lymphedema: Aim 2

NCT ID: NCT05421377

Last Updated: 2024-03-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

RECRUITING

Total Enrollment

120 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-10-01

Study Completion Date

2025-06-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Lymphedema is a chronic, debilitating disorder characterized by abnormal tissue swelling, adipose deposition and tissue fibrosis, resulting from disruption, blockage, or genetic abnormalities of the lymphatic system. Secondary lymphedema is an acquired lymphedema due to trauma, surgery, radiotherapy or infection among others resulting in a decreased transport capacity of the lymphatic system. This can be combined with an additional load on the lymphatic system due to obesity, venous hypertension or a wound, among others. Advances in oncologic treatment have led to an ever-increasing number of cancer survivors over time. As a result, morbidities related to this treatment (such as secondary lymphedema) are likely to increase too.

Risk factors for the development of LLL after treatment for (gynaecological) cancer are: pelvic and para-aortic lymphadenectomy, the number of pelvic lymph nodes removed, adjuvant radiotherapy, adjuvant chemotherapy, increasing BMI/ BMI ≥25 kg/m², lymphocyst formation, increasing age, increasing time since surgery and insufficient physical activity level.

To the investigators knowledge, no evidence exists regarding which (combination of) measuring methods are most sensitive to detect early lymphedema at the lower limbs after the treatment of cancer. Thresholds for identifying subclinical edema on one or both lower limbs are lacking.

Therefore the investigators want to develop a screening set for patients at risk for developing LLL. Which measurement method (and which criterion) shows the best diagnostic accuracy in screening patients at risk for LLL after cancer treatment? And: What is the added value of combining different measurement methods in terms of diagnostic accuracy?

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Lower Limb Lymphedema

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

lymph node dissection for treatment of urogenital, gynaelogical or skin cancer

Patients with any type of skin melanoma (at the level of the lower limb), urogenital or gynaecological cancer scheduled for lymph node dissection

clinical assessment

Intervention Type DIAGNOSTIC_TEST

screening of patients at risk for developing unilateral or bilateral lower limb lymphedema

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

clinical assessment

screening of patients at risk for developing unilateral or bilateral lower limb lymphedema

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Patients with a diagnosis of skin melanoma (at the level of the lower limb, at least cancer stage 3), gynecological cancer, uro-genital cancer that will receive surgery (sentinel lymph node biopsy and/or (para-aortic/inguinal/pelvic) lymph node dissection)

Exclusion Criteria

* Pregnant participants
* Presence of chronic venous insufficiency C4, C5, C6; deep venous thrombosis; post-thrombotic syndrome
* Presence of skin infections of wounds at the level of the lower limbs at the moment of inclusion
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Universitaire Ziekenhuizen KU Leuven

OTHER

Sponsor Role collaborator

KU Leuven

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Tessa De Vrieze

Post-doctoral research fellow and physiotherapist, PhD in Biomedical Sciences (Catholic University of Leuven) and Medical Sciences (University of Antwerp)

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Tessa De Vrieze, Dr.

Role: PRINCIPAL_INVESTIGATOR

KU Leuven

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

University Hospitals of Leuven

Leuven, , Belgium

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

Belgium

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Tessa De Vrieze, Dr.

Role: CONTACT

003216345006

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Tessa De Vrieze, Dr.

Role: primary

003216345006

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

s66033-aim2

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.