Methods for facilitating individualized kinematically aligned knee replacements and devices thereof

Abstract

Methods, non-transitory computer readable media, and individualized kinematic knee replacement analysis computing devices that obtains prosthesis data for a selected prosthesis. Anatomical and pathoanatomical data for a specific patient is generated. The anatomical data can include a coronal mechanical lateral distal femoral angle and/or a posterior condylar axis that is specific to the patient. Bone and cartilage resection data is generated based at least in part on the prosthesis data, the anatomical data, and the pathoanatomical data. A recommended three-dimensional knee replacement surgeon plan for the patient, comprising the bone and cartilage resection data for facilitating implantation of the prosthesis in the patient, is output.

What is claimed is: 
     
         1 . A non-transitory computer readable medium having stored thereon instructions comprising executable code that, when executed by one or more processors, causes the one or more processors to:
 generate bone and cartilage resection data based on prosthesis data for a selected prosthesis and anatomical and pathoanatomical data for a patient, wherein the bone and cartilage resection data comprises a tibial resection angle that is determined based on a femoral resection valgus angle and facilitates correction for a deformity of a limb of the patient; and   output a surgeon plan comprising the bone and cartilage resection data for facilitating implantation of the prosthesis in the patient.   
     
     
         2 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the anatomical data comprises a coronal mechanical lateral distal femoral angle (mLDFA) comprising a lateral angle formed from the intersection of a mechanical axis and a knee joint line of a distal femur of the limb of the patient, wherein the femoral resection valgus angle is based on the coronal mLDFA. 
     
     
         3 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the femoral resection valgus angle is based on a coronal femoral valgus maximum value determined from obtained preference data. 
     
     
         4 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the executed code, when executed by the one or more processors, further causes the one or more processors to:
 determine when a limb varus correction is needed subsequent to generating the tibial resection angle; and   apply a tibia limb varus correction value up to a maximum tibial varus in obtained preference data to obtain the tibial resection angle, when the determination indicates that the limb varus correction is needed.   
     
     
         5 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the anatomical data further comprises a posterior condylar axis comprising a line connecting a most posterior aspect of each of a medial and a lateral femoral condyle of the limb of the patient. 
     
     
         6 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the executed code, when executed by the one or more processors, further causes the one or more processors to facilitate the generation of an individualized knee replacement guide according to the surgeon plan. 
     
     
         7 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the executed code, when executed by the one or more processors, further causes the one or more processors to
 perform a statistical analysis on outcome data retrieved from a database; and   generate default preference data for the patient based at least in part on the statistical analysis.   
     
     
         8 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the bone and cartilage resection data is further generated based on obtained preference data and observed data and the preference data limits an alignment of the prosthesis or the limb of the patient to within a predetermined number of degrees of a mechanical axis of a femur, a tibia, or the limb of the patient. 
     
     
         9 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the executed code, when executed by the one or more processors, further causes the one or more processors to determine an alignment of one or more guides that facilitate a plurality of cuts to be made to a tibia and a femur of the patient based on the bone and cartilage resection data. 
     
     
         10 . The non-transitory computer readable medium as set forth in  claim 1 , wherein the bone and cartilage resection data further comprises one or more tibia resection thicknesses or a tibia sagittal slope. 
     
     
         11 . A computing device comprising memory comprising programmed instructions store thereon and one or more processors coupled to the memory and configured to be capable of executing the programmed instructions to:
 generate bone and cartilage resection data based on prosthesis data for a selected prosthesis and anatomical and pathoanatomical data for a patient, wherein the bone and cartilage resection data comprises a tibial resection angle that is determined based on a femoral resection valgus angle and facilitates correction for a deformity of a limb of the patient; and   output a surgeon plan comprising the bone and cartilage resection data for facilitating implantation of the prosthesis in the patient.   
     
     
         12 . The computing device as set forth in  claim 11 , wherein the anatomical data comprises a coronal mechanical lateral distal femoral angle (mLDFA) comprising a lateral angle formed from the intersection of a mechanical axis and a knee joint line of a distal femur of the limb of the patient, wherein the femoral resection valgus angle is based on the coronal mLDFA. 
     
     
         13 . The computing device as set forth in  claim 11 , wherein the femoral resection valgus angle is based on a coronal femoral valgus maximum value determined from obtained preference data. 
     
     
         14 . The computing device as set forth in  claim 11 , wherein the one or more processors are further configured to:
 determine when a limb varus correction is needed subsequent to generating the tibial resection angle; and   apply a tibia limb varus correction value up to a maximum tibial varus in obtained preference data to obtain the tibial resection angle, when the determination indicates that the limb varus correction is needed.   
     
     
         15 . The computing device as set forth in  claim 11 , wherein the anatomical data further comprises a posterior condylar axis comprising a line connecting a most posterior aspect of each of a medial and a lateral femoral condyle of the limb of the patient. 
     
     
         16 . The computing device as set forth in  claim 11 , wherein the one or more processors are further configured to facilitate the generation of an individualized knee replacement guide according to the surgeon plan. 
     
     
         17 . The computing device as set forth in  claim 11 , wherein the one or more processors are further configured to:
 perform a statistical analysis on outcome data retrieved from a database; and   generate default preference data for the patient based at least in part on the statistical analysis.   
     
     
         18 . The computing device as set forth in  claim 11 , wherein the bone and cartilage resection data is further generated based on obtained preference data and observed data and the preference data limits an alignment of the prosthesis or the limb of the patient to within a predetermined number of degrees of a mechanical axis of a femur, a tibia, or the limb of the patient. 
     
     
         19 . The computing device as set forth in  claim 11 , determine an alignment of one or more guides that facilitate a plurality of cuts to be made to a tibia and a femur of the patient based on the bone and cartilage resection data. 
     
     
         20 . The computing device as set forth in  claim 11 , wherein the bone and cartilage resection data further comprises one or more tibia resection thicknesses or a tibia sagittal slope.