Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03544853 |
Other study ID # |
1101004280 |
Secondary ID |
R01EB024531-01 |
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
September 15, 2017 |
Est. completion date |
August 31, 2022 |
Study information
Verified date |
September 2022 |
Source |
Massachusetts Institute of Technology |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The overall goal of this study is to further develop and clinically assess a computational
and data-driven design and manufacturing framework for mechanical interfaces that
quantitatively produces transtibial prosthetic sockets in a faster and more cost-effective
way than conventional processes. The main hypothesis of this proposal is that the novel
quantitative interface is equivalent to, or better than, a conventional interface in terms
of: 1) gait symmetry, 2) skin contact pressures, 3) skin surface temperature, and 4) comfort
as evaluated from a questionnaire.
Description:
Title: Computational Design, Fabrication, and Evaluation of Optimized Patient-Specific
Transtibial Prosthetic Sockets
Principle Investigator: Dr. Hugh Herr
Background: The overall goal of this application is to further develop and clinically assess
a computational and data-driven design and manufacturing framework for mechanical interfaces
that quantitatively produces transtibial prosthetic sockets in a faster and more
cost-effective way than conventional processes. Traditionally, prosthetic socket production
has been a craft activity, based primarily on the experience of the prosthetist. Even with
advances in computer-aided design and computer-aided manufacturing (CAD/CAM), the design
process remains manual. The manual nature of the process means it is non-repeatable and
currently largely non-data-driven, and quantitative data is either not obtained or
insufficiently employed. Furthermore, discomfort, skin problems and pressure ulcer formation
remain prevalent. Through the proposed computational modeling framework, a repeatable,
data-driven and patient-specific design process is made available which is based on
scientific rationale.
Objective/hypothesis: The main hypothesis of this proposal is that a socket, designed using
the novel computational design framework, is equivalent to, or better than, a conventional
socket (designed by a prosthetist) in terms of: 1) gait symmetry, 2) skin contact pressures,
3) skin surface temperature, and 4) comfort as evaluated from a questionnaire. Our hypothesis
is supported by the presented pilot data which shows reduced or equivalent skin contact
pressures and subject reported comfort levels for several critical anatomical regions.
Specific Aims: 1) Subject-specific biomechanical modeling for N=18 subjects, 2) Computational
design and fabrication of sockets for N=18 subjects, and 3) Clinical evaluation of novel
sockets for N=18 subjects.
Study Design: A cohort of 18 subjects will be recruited for this study. MRI or CT data will
be recorded for all subjects. Through image segmentation geometrically accurate 3D finite
element analysis (FEA) models will be constructed. The resulting predictive FEA models will
then be used in a novel, data-driven, and automated computational design framework for
prosthetic sockets, to design prosthetic sockets for all subjects. The framework optimizes
the socket designs, as assessed by skin contact pressures and internal tissue strain, through
iterative adjustment of the virtual tests sockets. Final designs are subsequently 3D printed.
To evaluate the prosthetic sockets with each of the subjects each subject will do a standing
and walking exercise using their conventional sockets or the novel sockets. Meanwhile skin
contact pressures and temperatures are recorded, gait symmetry data is collecetd, and socket
comfort is assessed using a questionnaire. Together this data provides a quantitative and
qualitative evaluation and comparison of the novel and conventional sockets.