8 results about "Total joint replacement" patented technology

Methods of determining the risk of developing adjudicated arthropathy (AA) and / or progression to total joint replacement (TJR) and determining the treatment response to an NGF antagonist or NSAID treatment in a subject by determination of an OA proteomic risk score for the subject are presented herein.

Methods of determining the risk of developing adjudicated arthropathy (AA) and / or progression to total joint replacement (TJR) and determining the treatment response to an NGF antagonist or NSAID treatment in a subject by determination of an OA proteomic risk score for the subject are presented herein.

A system and method for joint arthroplasty includes capturing patient-specific three-dimensional joint data during a first arthroplasty stage and utilizing a joint phenotype classification algorithm to predict a likelihood of a phenotype match or transition between first and second arthroplasty stages. The algorithm selects at least one joint-specific metric from the pre-cut data, transforms the metric into a feature vector in N-dimensional feature space, assigns the feature vector to at least one patient-specific pre-cut cluster trained on data from other patients, determines a pre-cut joint phenotype, predicts at least one patient-specific post-cut cluster and a post-cut joint phenotype. The system compares pre-cut and post-cut phenotypes to compute a likelihood of a match or transition, and outputs the likelihood on a user interface intraoperatively to facilitate verification that a planned bone cut will achieve a desired clinical target, or modification of implant parameters, surgical parameters, or soft-tissue balance, for continuing procedure.

A method and system for personalized implant planning during total joint arthroplasty include obtaining a plurality of patient-specific data prior to an implantation of at least one implant into a joint of a patient comprising a first bone member and a second bone member; inputting the plurality of patient-specific data into at least one weight-based implant algorithm, at least one weight-based implant machine learning model, or both, configured to output weights assigned to patient-specific functional parameters that facilitate a prioritization for each of the patient-specific functional parameters; utilizing a surgical plan model to obtain a patient-specific intra-operative surgical plan for the implantation of the at least one implant, based at least in part on the plurality of patient-specific data, intra-operative patient-specific data, the plurality of patient-specific functional parameters, and / or the plurality of weights; and performing the implantation based on the patient-specific intra-operative surgical plan.

A system and method for joint arthroplasty includes capturing patient-specific three-dimensional joint data during a first arthroplasty stage and utilizing a joint phenotype classification algorithm to predict a likelihood of a phenotype match or transition between first and second arthroplasty stages. The algorithm selects at least one joint-specific metric from the pre-cut data, transforms the metric into a feature vector in an N-dimensional feature space, assigns the feature vector to at least one patient-specific pre-cut cluster trained on data from other patients, determines a pre-cut joint phenotype, predicts at least one patient-specific post-cut cluster and a post-cut joint phenotype. The system compares pre-cut and post-cut phenotypes to compute a likelihood of a match or transition, and outputs the likelihood on a user interface intraoperatively to facilitate verification that a planned bone cut will achieve a desired clinical target, or modification of implant parameters, surgical parameters, or soft-tissue balance, for continuing the procedure.

This specification presents a method for determining the risk of developing osteoarthritis (OA) and / or progressing to total joint replacement (TJR) in subjects by determining an OA proteomics risk score for those subjects, as well as a method for determining the treatment response to NGF antagonist or NSAID treatment.

A probe for an electrosurgical device for treating tissue, the probe optionally including any one or combination of: an elongated shaft having a proximal end portion, a distal end portion with a tip and a longitudinal axis, a first dome electrode, a second dome electrode and a blade electrode. The first dome electrode can be positioned at the tip. The second dome electrode can be positioned at the tip and can be spaced laterally from the first dome electrode. The blade electrode can be positioned at the tip. The blade electrode is retractable and extendible relative to the tip, the first dome electrode and the second dome electrode.

This disclosure relates to surgical instruments for alignment of bone cuts during surgeries on joints and in particular, during total replacement of joints. The surgical instrument comprises a contact surface shaped to fit a prepared end of the first bone of the joint and an artificial articular surface that imitates the native articular surface of the first bone that has been removed by the preparation of the first bone. The artificial articular surface is pivotable in relation to the surgical instrument. The instrument can be fitted onto the prepared bone and coronal balancing can be performed. After fixing a further instrument to the second bone the joint can be balanced in flexion. At the optimal flexion angle, the slope and the cutting depth can be adjusted to achieve alignment. The further instrument is then used as a guide for cutting the second bone at the resulting cutting depth, slope and varus / valgus angle.