Development of a Clinical Screening, Diagnostic and Evaluation Tool for Patients With Lower Limb Lymphedema: Aim 5
NCT07017166 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 33
Last updated 2025-06-12
Summary
This clinical study evaluates the reliability, concurrent validity, and clinical feasibility of a new method to determine leg volume, namely the Structure Sensor Scanner.
The volume of both legs will be determined using three different measurement methods:
1. A scanning method using a Structure Sensor Scanner: for this, both legs are scanned all around with an iPad with the Structure Sensor attached to the tablet. This is performed while standing. The sensor captures depth images, which are then converted into a three-dimensional image of both legs. A computer program is then used to determine the volume of both legs and specific segments of the legs.
2. The circumference measurement using a perimeter: the perimeter consists of a flexible metal strip with a tape measure attached every 4 cm, each ending in a small weight. The person must sit and place only the foot on a small bench so that the entire leg is free. The perimeter is then placed on the leg. Finally, the tape measures are wrapped around the leg, and the circumferences are read. The leg volume is then calculated using the formula of the truncated cone.
3. The optoelectronic volumetry using the Perometer®: for this, the person must stand in shoulder-width stance on the Perometer platform, with one leg inside the frame. The frame is then moved upward. The frame captures silhouettes from which circumference and volumes are calculated through elliptical approximation.
To investigate the reliability, the intra-class correlation coefficient (ICC) is calculated as well as the SEM, SRD and a two-tailed paired samples t-test or a wilcoxon signed rank test (in case of not-normally distributed data). To investigate the concurrent validity of the Structure Sensor Scanner, the results from the scanner method will be compared with those of the two other methods. Regarding the clinical feasibility the duration of each measurement is recorded and a purpose-designed feasibility questionnaire which is completed by the assessors is used.
Conditions
- Lower Limb Lymphedema
Sponsors & Collaborators
-
KU Leuven
collaborator OTHER -
Universitaire Ziekenhuizen KU Leuven
lead OTHER
Principal Investigators
-
Nele Devoogdt, PhD · KU Leuven
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-02-20
- Primary Completion
- 2024-03-28
- Completion
- 2024-03-28
Countries
- Belgium
Study Locations
More Related Trials
-
Non-invasive Diagnosis of Pulmonary Embolism by Use of Biomarkers in Exhaled Breath
NCT06135220 ·Status: COMPLETED
-
Multi-Detector Spiral Computed Tomography Alone Versus Combined Strategy With Lower Limb Compression Ultrasonography in Outpatients Suspected of Pulmonary Embolism
NCT00117169 ·Status: COMPLETED ·Phase: NA
-
Characterization of the Pathogenesis of Primary and Secondary Lymphatic Disorders
NCT02156115 ·Status: TERMINATED
-
Benefit of Machine Learning to Diagnose Deep Vein Thrombosis Compared to Gold Standard Ultrasound
NCT05288413 ·Status: WITHDRAWN
-
Early Detection of Lymphedema After Cancer Treatments
NCT02415725 ·Status: UNKNOWN ·Phase: NA
-
Multicentre Study to Investigate the Performance of the Padd Device in the Assessment of Peripheral Arterial Disease
NCT01633710 ·Status: TERMINATED
-
Iodine Mapping Using Subtraction in Pulmonary Embolism CT Versus Dual-Energy CT
NCT02890706 ·Status: COMPLETED ·Phase: NA
-
Systematic Machine Learning Algorithm for Rapid Thrombosis Detection
NCT06842446 ·Status: RECRUITING ·Phase: NA
-
US-Doppler and Procoagulant Microparticles for the Diagnosis of Asymptomatic DVT in Advanced Cancer Patients With Poor Performance Status
NCT00336258 ·Status: COMPLETED
-
Pulmonary Embolism Prognosis Model
NCT04411888 ·Status: UNKNOWN
-
Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography
NCT05482269 ·Status: RECRUITING
-
Simplified and Easy Detection of Arterial Disease in Nursing Homes
NCT03362710 ·Status: COMPLETED ·Phase: NA
-
Comparing Electrical Impedance Tomography to Computed Tomographic Angiography
NCT05546333 ·Status: ACTIVE_NOT_RECRUITING
-
Magnetic Resonance Imaging Combined With Venous Ultrasonography of the Legs for Pulmonary Embolism
NCT02059551 ·Status: COMPLETED ·Phase: NA
-
Magtrial: Magtrace® as Tracer for Sentinel Lymph Node Detection in Early Stage Epithelial Ovarian Cancer
NCT05375526 ·Status: UNKNOWN ·Phase: NA
-
Detecting Peripheral Artery Disease With the Pulse
NCT07226193 ·Status: RECRUITING ·Phase: NA
-
Magnetic Resonance Diagnosis of Pulmonary Embolism
NCT01077778 ·Status: TERMINATED
-
Contribution of Lower Limb Venous Colour Doppler Ultrasound in the Diagnosis of Pulmonary Embolism Recurrence
NCT05413317 ·Status: COMPLETED
-
Screening for Occult Malignancy in Patients With Idiopathic Venous Thromboembolism
NCT00773448 ·Status: COMPLETED ·Phase: NA
-
The Role of Endothelial Function Test in Risk Stratification for Early and Late Complications After Pulmonary Embolism
NCT03149471 ·Status: UNKNOWN
-
The Frequency of Peripheral Arterial Disease in Patients with Deep Vein Thrombosis of the Lower Limbs
NCT06806540 ·Status: RECRUITING
-
Data Clustering Study With Artificial Intelligence and Phenotyping of Patients With Acute Pulmonary Embolism
NCT06183944 ·Status: RECRUITING
-
Non-Invasive Measurement of Cardiac Output and Stroke Volume in PE
NCT04855370 ·Status: WITHDRAWN ·Phase: NA
-
Accuracy of the 64 Slices Computed Tomography for the Diagnosis of Left Atrial Appendage Thrombus
NCT01147796 ·Status: TERMINATED ·Phase: NA
-
MR Pulmonary Angiography to Replace CT Pulmonary Angiography for Patients With a Suspicion of a Pulmonary Embolism
NCT05879380 ·Status: UNKNOWN