Study Stopped
Not reaching targeted enrollment
Computational Simulation of Patellar Instability
Computational Simulation of Dynamic Motion for Knees With Patellar Instability to Compare MPFL Reconstruction to Tibial Tuberosity Medialization as a Function of Knee Anatomy
1 other identifier
observational
3
1 country
1
Brief Summary
Computational simulation will be performed to represent motion of knees with a dislocating kneecap. Common surgical treatment methods will be simulated and anatomical parameters commonly associated with the dislocation will be varied in order to characterize the most appropriate surgical approach as a function of knee anatomy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started May 2017
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 16, 2016
CompletedFirst Posted
Study publicly available on registry
December 20, 2016
CompletedStudy Start
First participant enrolled
May 30, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2019
CompletedMay 28, 2019
May 1, 2019
1.7 years
December 16, 2016
May 24, 2019
Conditions
Outcome Measures
Primary Outcomes (2)
Graphical representation of changes in knee motion due to surgery
Computational models will be developed from MRI scans to show pre-operative and post-operative motion patterns for knees with instability
16 months
Computational simulation of changes in knee motion due to surgery
The models used to display motion will be converted to dynamic simulation models to predict the influence of multiple surgical approaches on knee motion
24 months
Secondary Outcomes (1)
Influence of anatomy on surgical effectiveness
24 months
Interventions
surgery to either alter soft tissues around the patella or reorient the patellar tendon to restore patellar stability
Eligibility Criteria
Anyone with a diagnosis of recurrent patellar dislocation to be surgically treated at Akron Children's Hospital
You may qualify if:
- Diagnosis of recurrent patellar dislocation
- Plan to be surgically treated at Akron Children's Hospital
You may not qualify if:
- Additional Injuries unrelated to patellar instability for the knee of interest
- Implantation of metallic hardware that could cause artifacts within MRI scans
- Inability to remain still during MRI scans
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Cleveland Clinic Akron Generallead
- Akron Children's Hospitalcollaborator
Study Sites (1)
Akron Children's Hospital
Akron, Ohio, 44308-1046, United States
Related Publications (10)
Elias JJ, Cosgarea AJ. Technical errors during medial patellofemoral ligament reconstruction could overload medial patellofemoral cartilage: a computational analysis. Am J Sports Med. 2006 Sep;34(9):1478-85. doi: 10.1177/0363546506287486. Epub 2006 May 9.
PMID: 16685097BACKGROUNDBiyani R, Elias JJ, Saranathan A, Feng H, Guseila LM, Morscher MA, Jones KC. Anatomical factors influencing patellar tracking in the unstable patellofemoral joint. Knee Surg Sports Traumatol Arthrosc. 2014 Oct;22(10):2334-41. doi: 10.1007/s00167-014-3195-y. Epub 2014 Jul 26.
PMID: 25063490BACKGROUNDElias JJ, Carrino JA, Saranathan A, Guseila LM, Tanaka MJ, Cosgarea AJ. Variations in kinematics and function following patellar stabilization including tibial tuberosity realignment. Knee Surg Sports Traumatol Arthrosc. 2014 Oct;22(10):2350-6. doi: 10.1007/s00167-014-2905-9. Epub 2014 Feb 15.
PMID: 24531362BACKGROUNDPurevsuren T, Elias JJ, Kim K, Kim YH. Dynamic simulation of tibial tuberosity realignment: model evaluation. Comput Methods Biomech Biomed Engin. 2015;18(14):1606-10. doi: 10.1080/10255842.2014.936857. Epub 2014 Jul 15.
PMID: 25025488BACKGROUNDFitzpatrick CK, Steensen RN, Tumuluri A, Trinh T, Bentley J, Rullkoetter PJ. Computational analysis of factors contributing to patellar dislocation. J Orthop Res. 2016 Mar;34(3):444-53. doi: 10.1002/jor.23041. Epub 2015 Sep 15.
PMID: 26331373BACKGROUNDElias JJ, Saranathan A. Discrete element analysis for characterizing the patellofemoral pressure distribution: model evaluation. J Biomech Eng. 2013 Aug;135(8):81011. doi: 10.1115/1.4024287.
PMID: 23719962BACKGROUNDGuess TM, Liu H, Bhashyam S, Thiagarajan G. A multibody knee model with discrete cartilage prediction of tibio-femoral contact mechanics. Comput Methods Biomech Biomed Engin. 2013;16(3):256-70. doi: 10.1080/10255842.2011.617004. Epub 2011 Oct 4.
PMID: 21970765BACKGROUNDGuess TM, Thiagarajan G, Kia M, Mishra M. A subject specific multibody model of the knee with menisci. Med Eng Phys. 2010 Jun;32(5):505-15. doi: 10.1016/j.medengphy.2010.02.020. Epub 2010 Mar 31.
PMID: 20359933BACKGROUNDElias JJ, Kelly MJ, Smith KE, Gall KA, Farr J. Dynamic Simulation of the Effects of Graft Fixation Errors During Medial Patellofemoral Ligament Reconstruction. Orthop J Sports Med. 2016 Sep 20;4(9):2325967116665080. doi: 10.1177/2325967116665080. eCollection 2016 Sep.
PMID: 27709116BACKGROUNDElias JJ, Soehnlen NT, Guseila LM, Cosgarea AJ. Dynamic tracking influenced by anatomy in patellar instability. Knee. 2016 Jun;23(3):450-5. doi: 10.1016/j.knee.2016.01.021. Epub 2016 Feb 26.
PMID: 26922799BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
John Elias, PhD
Cleveland Clinic Akron General
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Senior Research Scientist
Study Record Dates
First Submitted
December 16, 2016
First Posted
December 20, 2016
Study Start
May 30, 2017
Primary Completion
January 31, 2019
Study Completion
January 31, 2019
Last Updated
May 28, 2019
Record last verified: 2019-05
Data Sharing
- IPD Sharing
- Will not share