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Trial Title:
Goniometry and Goniometric Measurement on Standardised Images in Dupuytren's Disease
NCT ID:
NCT06263699
Condition:
Dupuytren's Disease
Conditions: Official terms:
Dupuytren Contracture
Study type:
Observational
Overall status:
Recruiting
Study design:
Time perspective:
Prospective
Intervention:
Intervention type:
Procedure
Intervention name:
ROM measurement of the MCP and PIP joints in digits 4 and 5
Description:
standardised picture of the hand in maximal active extension, with the back of the hand
positioned on the table's surface
Arm group label:
Patients with diagnosed Dupuytren's disease
Other name:
Standardised picture of the hand
Summary:
Measuring range of motion (ROM) is essential in detecting musculoskeletal deficits,
monitoring the effects of treatment and progression of the disease. In Dupuytren's
disease the active and passive extension deficits (AED, PED) of digits 4 and 5 are
usually clinically measured using a universal, short arm goniometer which is considered
the standard of care. Using the goniometer can be time consuming. Measuring the extension
deficit on a standardised picture could improve follow up, since it is a faster and
easier process to take a picture and upload it to the patients files. Though this gives
rise to the question whether this kind of measurement would be equally accurate and
reliable in comparison to regular clinical measurement using a goniometer.
Detailed description:
Measuring range of motion (ROM) is essential in detecting musculoskeletal deficits,
monitoring the effects of treatment and progression of the disease. In Dupuytren's
disease the active and passive extension deficits (AED, PED) of digits 4 and 5 are
usually clinically measured using a universal, short arm goniometer which is considered
the standard of care. Using the goniometer to measure the extension deficit of both
fingers, for both the proximal interphalangeal (PIP) and metacarpophalangeal (MCP) joint
can be a time consuming process. A lot of clinicians have limited time per patient, which
leads to partially or completely missing data due to not performing the measurements.
Measuring the extension deficit on a standardised picture could improve follow up, since
it is a faster and easier process to take a picture and upload it to the patients files.
Though this gives rise to the question whether this kind of measurement would be equally
accurate and reliable in comparison to regular clinical measurement using a goniometer.
Establishing the difference between both methods is essential to monitor change, which
makes a statistical comparison of accuracy of both methods very valuable for patients
with Dupuytren's disease. Furthermore, a lot of clinicians have collected and stored
standardised pictures of their patient's hands over the years. Therefore this study could
solidify the available data through these images, which provide valuable information for
future follow up. Furthermore, proper patient education could provide the clinician with
standardised images taken by the patient himself, leading to improved follow up, if
images and clinical measurement prove to be equally accurate.
Criteria for eligibility:
Study pop:
Patients with diagnosed Dupuytren's disease
Sampling method:
Non-Probability Sample
Criteria:
Inclusion Criteria:
- Older than 18 years of age
- Current AED in digit 4 or 5, in the MCP or PIP joint
Exclusion Criteria:
- Abnormalities to the fingers other than Dupuytren's disease which make goniometry
impossible (e.g. amputation, arthrodesis of finger joints, deformations due to
rheumatoid arthritis etc.)
- Patient's unable to give a written participating consent.
- Younger than 18 years of age.
Gender:
All
Minimum age:
18 Years
Maximum age:
N/A
Healthy volunteers:
No
Locations:
Facility:
Name:
Universitaire Ziekenhuizen KU Leuven
Address:
City:
Leuven
Zip:
3000
Country:
Belgium
Status:
Recruiting
Contact:
Last name:
Ilse Degreef, Prof. Dr.
Phone:
+32 16 33 88 43
Email:
ilse.degreef@uzleuven.be
Contact backup:
Last name:
Anna Tarasiuk
Phone:
+32 16 33 88 18
Email:
orthopedie.research@uzleuven.be
Investigator:
Last name:
Ilse Degreef, Prof. Dr.
Email:
Principal Investigator
Start date:
January 29, 2024
Completion date:
January 1, 2025
Lead sponsor:
Agency:
Universitaire Ziekenhuizen KU Leuven
Agency class:
Other
Source:
Universitaire Ziekenhuizen KU Leuven
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06263699