IP Library Granted Patent US 12,268,615
Granted Patent B2
US 12,268,615 · App. 18/190,389 · Granted Apr 8, 2025

Joint soft tissue evaluation method

Inventors: J. Dean Cole (Orlando, FL); Franz W. Kellar (Gastonia, NC); Michael D. Bissette (Belmont, NC); Harold L. Crowder (Concord, NC); Franz Austen Kellar (Gastonia, NC)
Assignee: DYNAMIC BALANCER SYSTEMS LLC
A61F2/4657A61B90/37A61F2/461A61B2017/0268A61B2090/3916A61F2002/4633A61F2002/4666A61F2002/4668
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,268,615
App. No.
18/190,389
Granted
Apr 8, 2025
Kind
B2
Abstract

A method of evaluating soft tissue of a human joint which includes two or more bones and ligaments, wherein the ligaments are under anatomical tension to connect the bones together, creating a load-bearing articulating joint, the method includes: inserting into the joint a tensioner-balancer that includes a means of controlling a distraction force; providing an electronic receiving device; moving the joint through at least a portion of its range of motion; while moving the joint, controlling the distraction force, and collecting displacement and distraction load data of the bones; processing the collected data to produce a digital geometric model of the joint, wherein the model includes: ligament displacement data along a range of flexion angles and ligament load data along a range of flexion angles; and storing the digital geometric model for further use.

Claims (49)

1. A method of evaluating soft tissue of a human knee joint which includes a femur bone, a tibia bone, a patella bone, and ligaments, wherein the ligaments are under anatomical tension to connect the bones together, creating a load-bearing articulating joint, the method comprising:

inserting into the knee joint a tensioner-balancer that includes: a base plate, a top plate that is configured to freely pivot about a pivot axis, a means of controlling a distraction force, and at least one sensor configured to measure a distraction force acting through the pivot axis and a distraction height of the top plate relative to the baseplate;

providing an electronic receiving device;

moving the knee joint through at least a portion of its range of motion;

while moving the knee joint, controlling the distraction force, and collecting displacement and distraction load data of the bones from the at least one sensor, using the electronic receiving device;

processing the collected data to produce a digital geometric model of the knee joint, wherein the model includes ligament displacement data along a range of flexion angles and ligament load data along a range of flexion angles; and

storing the digital geometric model for further use.

2. The method of claim 1 , further comprising generating a graphical representation of at least one ligament of the knee joint, the graphical representation including:

ligament displacement along a range of flexion angles; and

ligament stress or force along a range of flexion angles.

3. The method of claim 1 , wherein at least one of the ligament displacement data and the ligament load data includes independent medial and lateral information.

4. The method of claim 1 , further comprising:

connecting at least one tracking marker to the knee joint;

collecting position data from the tracking marker while moving the knee joint;

while moving the knee joint, using the electronic receiving device to collect data from the at least one tracking device.

5. The method of claim 1 , further comprising using the information gathered to determine ligament physical characteristics that can be supplied as specific parameters for a software algorithm or machine learning system.

6. The method of claim 1 , wherein

the patella remains in its native anatomical position during all steps of the method.

7. The method of claim 1 , wherein:

the tensioner-balancer includes a tibial interface surface and an opposed femoral interface surface; and

the digital model further includes:

a medial spline representing a locus of points of contact of a medial condyle of the femur with the femoral interface surface, over a range of knee flexion angles; and

a lateral spline representing the locus of points of contact of the femur with the femoral interface surface over a range of knee flexion angles.

8. The method of claim 7 , further comprising using the tensioner-balancer to distract the knee joint with the patella in place.

9. The method of claim 7 , further comprising using the tensioner-balancer to distract the knee joint with a PCL of the knee joint intact.

10. The method of claim 7 , wherein the femoral interface surface is defined by the top plate, the top plate including a lateral cantilevered pad and a medial cantilevered pad, wherein each cantilevered pad is provided with two or more spaced-apart strain gages at the intersection between the respective cantilevered pad and a stationary portion of the top plate.

11. The method of claim 7 , wherein the tensioner-balancer includes a tibial interface surface is defined by the base plate, an opposed femoral interface surface defined by the top plate, and an array of femoral force sensors disposed on the femoral interface surface.

12. The method of claim 7 , further comprising performing a tibial plateau cut before inserting the tensioner-balancer.

13. The method of claim 7 , further comprising using a marking guide to indicate positions on the femur to make one or more cuts on the femur.

14. The method of claim 13 , wherein the marking guide is connected to the tensioner-balancer.

15. The method of claim 1 , further including:

defining a primary datum oriented and fixed in six degrees of freedom;

defining at least one secondary datum, each secondary datum having fixed origins relative to the primary datum;

associating continuous position and orientation of the at least one secondary datums with respect to the primary datum;

while moving the knee joint, using the electronic receiving device to collect data from at least one tracking device, wherein the tracking device data includes information describing the position and movement in six degrees of freedom of the at least one secondary datums;

incorporating the tracking device data into the digital geometric model.

16. The method of claim 15 , wherein an initial datum is referenced relative to at least one of the bones before any cuts or resections have been made.

17. The method of claim 16 , wherein a difference is computed between a geometric position data collected and a final defined desired set of geometric position data.

18. The method of claim 17 , wherein the computed difference is used to compute an desirable final best-fit position of an endoprosthesis with known geometry.

19. The method of claim 18 , wherein a desirable best-fit position of the endoprosthesis is based on procedural outcomes from population data collected over time.

20. The method of claim 15 , wherein the primary datum is positioned outside the joint, and each bone of the knee joint has a secondary datum associated therewith.

21. The method of claim 15 , wherein the primary datum is fixed relative to one of the bones.

22. The method of claim 15 , wherein an endoprosthesis is positioned relative to the bones of the knee joint from pre-operative measurement to assess joint kinematics.

23. The method of claim 15 , wherein the digital geometric model is used to develop a patient-specific operative procedure.

24. The method of claim 15 , wherein the digital geometric model is used to develop a patient-specific endoprosthesis.

25. The method of claim 15 , wherein the digital geometric model is used to develop a patient-specific augmentation or replacement or repair, of a ligament or a tendon.

26. The method of claim 15 , wherein a digital display is used to portray the evaluated knee joint.

27. The method of claim 15 , wherein the primary datum is established by physically registering landmarks on the tensioner-balancer.

28. The method of claim 15 , wherein the primary datum is established by physically registering bony landmarks on at least one of the bones.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 31, 2024
From: LITTLE ENGINE LLC
To: DYNAMIC BALANCER SYSTEMS LLC
Reel/Frame 069710/0213 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 30, 2023
From: COLE, J. DEAN; KELLAR, FRANZ W.; BISSETTE, MICHAEL D.; CROWDER, HAROLD L.; KELLAR, FRANZ AUSTEN
To: LITTLE ENGINE, LLC
Reel/Frame 063160/0701 →
Continuity (5)
Continuation 17881410 · Aug 4, 2022
Continuation In Part 17851948 · Jun 28, 2022
Provisional Application 63349714 · Jun 7, 2022
Provisional Application 63349719 · Jun 7, 2022
Related Publication 20230390080A1 · Dec 7, 2023
References Cited (73)
US 4124026A · Berner et al. · 1978 [cited by applicant]
US 5713897A · Goble et al. · 1998 [cited by applicant]
US 5935129A · McDevitt et al. · 1999 [cited by applicant]
US 6022377A · Nuelle et al. · 2000 [cited by applicant]
US 6080154A · Reay-Young et al. · 2000 [cited by applicant]
US 6162234A · Freedland et al. · 2000 [cited by applicant]
US 6205411B1 · DiGioia, III et al. · 2001 [cited by applicant]
US 7070598B2 · Lim et al. · 2006 [cited by applicant]
US 7849751B2 · Clark et al. · 2010 [cited by applicant]
US 10076377B2 · Bonutti et al. · 2018 [cited by applicant]
US 10405849B1 · Cole et al. · 2019 [cited by applicant]
US 10478171B1 · Cole et al. · 2019 [cited by applicant]
US 10555729B1 · Cole et al. · 2020 [cited by applicant]
US 11000382B1 · Cole · 2021 [cited by examiner]
US 20010008971A1 · Schwartz et al. · 2001 [cited by applicant]
US 20030032983A1 · Bonutti et al. · 2003 [cited by applicant]
US 20040064191A1 · Wasielewski · 2004 [cited by applicant]
US 20050222488A1 · Chang et al. · 2005 [cited by applicant]
US 20050267485A1 · Cordes et al. · 2005 [cited by applicant]
US 20080051798A1 · Colquhoun et al. · 2008 [cited by applicant]
US 20080114367A1 · Meyer · 2008 [cited by applicant]
US 20080288060A1 · Kaye et al. · 2008 [cited by applicant]
US 20100007140A1 · Duquette et al. · 2010 [cited by applicant]
US 20100249659A1 · Sherman et al. · 2010 [cited by applicant]
US 20100250571A1 · Pierce et al. · 2010 [cited by applicant]
US 20100256612A1 · Dell'Oca · 2010 [cited by applicant]
US 20110093081A1 · Chana et al. · 2011 [cited by applicant]
US 20120095515A1 · Hamilton · 2012 [cited by applicant]
US 20130102929A1 · Haight et al. · 2013 [cited by applicant]
US 20130131737A1 · Cheng et al. · 2013 [cited by applicant]
US 20130226189A1 · Young · 2013 [cited by applicant]
US 20140025081A1 · Lorio et al. · 2014 [cited by applicant]
US 20140094715A1 · Stein et al. · 2014 [cited by applicant]
US 20140194907A1 · Bonutti et al. · 2014 [cited by applicant]
US 20140277526A1 · Stein et al. · 2014 [cited by applicant]
US 20140296979A1 · Delfosse et al. · 2014 [cited by applicant]
US 20140257381A1 · Palese · 2014 [cited by applicant]
US 20150105782A1 · D'Lima et al. · 2015 [cited by applicant]
US 20160007909A1 · Singh et al. · 2016 [cited by applicant]
US 20160030156A1 · Cole · 2016 [cited by applicant]
US 20160106409A1 · Moholkar · 2016 [cited by applicant]
US 20160278944A1 · D'Lima et al. · 2016 [cited by applicant]
US 20160338751A1 · Kellar et al. · 2016 [cited by applicant]
US 20170035409A1 · Fallin et al. · 2017 [cited by applicant]
US 20170065438A1 · Burnikel · 2017 [cited by applicant]
US 20170172624A1 · Brunner et al. · 2017 [cited by applicant]
US 20170312099A1 · Paziesnyek · 2017 [cited by applicant]
US 20180049622A1 · Ryan et al. · 2018 [cited by applicant]
US 20180116278A1 · Lang · 2018 [cited by applicant]
US 20180153599A1 · Daly et al. · 2018 [cited by applicant]
US 20180177612A1 · Masei et al. · 2018 [cited by applicant]
US 20180185100A1 · Weinstein et al. · 2018 [cited by applicant]
US 20180199952A1 · Cole · 2018 [cited by applicant]
US 20180296232A1 · Nielsen et al. · 2018 [cited by applicant]
US 20190076273A1 · Goodchild et al. · 2019 [cited by applicant]
US 20190167447A1 · Angibaud · 2019 [cited by applicant]
US 20190183554A1 · Pedicini · 2019 [cited by applicant]
US 20190358056A1 · Lerat et al. · 2019 [cited by applicant]
US 20200155135A1 · Cole et al. · 2020 [cited by applicant]
US 20200237441A1 · Zuhars et al. · 2020 [cited by applicant]
WO 2014188184 · 2014 [cited by applicant]
WO 2017195046 · 2017 [cited by applicant]
Attune Knee System, CAS Surgical Technique, Published 2014, accessed at “http://synthes.vo.llnwd.net/o16/LLNWMB8/US%20Mobile/Synthes%20North%20America/Product%20Support%20Materials/Technique%20Guides/DSUS-JRC-0514-0141%… [cited by applicant]
Bathis et al., “Flexion Gap Configuration in Total Knee Arthroplasty Following Hight Tibial Osteotomy”, published online Sep. 30, 2004, International Orthopaedics (SICOT) 28: 366-369. [cited by applicant]
M. J. Winemaker, MD, FRCS (C), “Perfect Balance in Total Knee Arthroplasty, The Elusive Compromise”, The Journal of Arthroplasty vol. 17. No. 1 2002, 2002, Churchill Livingstone, Canada. [cited by applicant]
International Search Report and Written Opinion from the International Searching Authority for International Patent Application No. PCT/US2019/061668 on Jan. 14, 2020. [cited by applicant]
International Search Report and Written Opinion from the International Searching Authority for International Patent Application No. PCT/US2021/018545 on May 6, 2021. [cited by applicant]
International Search Report and Written Opinion from the International Searching Authority for International Patent Application No. PCT/US2021/031961 on Sep. 10, 2021. [cited by applicant]
U.S. Appl. No. 17/851,897, filed Jun. 28, 2022 titled Knee Tensioner-Balancer and Method. [cited by applicant]
U.S. Appl. No. 17/851,931, filed Jun. 28, 2022 titled Machine Learning Based Joint Evaluation Method. [cited by applicant]
U.S. Appl. No. 17/851,869, filed Jun. 28, 2022 titled Knee Endoprothesis. [cited by applicant]
U.S. Appl. No. 17/851,948, filed Jun. 28, 2022 titled Knee Evaluation and Arthroplasty Method. [cited by applicant]
U.S. Appl. No. 17/881,410, filed Aug. 4, 2022 titled Joint Soft Tissue Evaluation Method. [cited by applicant]