Prediction of Proximal Humerus Morphometric Characteristics for Patient-Specific Humerus Prosthesis Design

The human arm and shoulder joint depend on the humerus, which is the bone that bears the most weight in the upper limb. An individual's quality of life could be affected by a humeral fracture; the rigid geometry of current prosthetic systems complicates the process of obtaining anatomical restoration after arthroplasty. This study aimed to generate hypotheses about the morphometric properties of the proximal end of the humerus, derived from the morphometric characteristics of the distal end of the individual's humerus, to enable the construction of a personalized humeral prosthesis. There were 33 dry humerus bones used in the study; IBM SPSS Statistics was used for statistical analysis. This paper developed predictive linear regression models using 33 dry humeral bones in order to determine proximal humerus morphometric features. The approach showed developments in patient-specific humeral prosthetic design and offers a solution to problems related with current standardized prosthetic systems. The thorough approach, clinically relevant approach, and clear presentation of results of the study make it a major source for building patient-specific humeral prosthesis. The developed equations might improve surgical results and patient quality of life. Validating these equations in vivo using CT imaging and clinical data should be given priority in future studies.