Impact of CT Image Hounsfield Unit Based Measures of Deltoid Muscle Quality on a Patient's Ability to Elevate Their Arm Before and After Anatomic and Reverse Total Shoulder Arthroplasty

Description

In this presentation from the ISTA 2024 conference held in Nashville, the speaker, Josie Elwell, discusses the significance of deltoid muscle quantity and quality in shoulder arthroplasty, particularly focusing on preoperative assessments and their implications for postoperative outcomes. The talk emphasizes the use of radiomic features, employed initially in oncology, to objectively evaluate the quality of deltoid muscles using CT scans. The analysis is split into first-order statistics, which cover basic histogram data related to grey scale values, and second-order features that pertain to texture analysis of the muscle. The study involved 605 shoulder arthroplasty patients, and it utilized machine learning tools like the open-source framework PyRadiomics to extract and analyze muscle characteristics from CT scans.



Key findings reveal that certain deltoid-related variables correlate significantly with patients achieving clinically relevant thresholds for both preoperative and postoperative range of motion. Specific features like the mean Hounsfield unit and 90th percentile values were highlighted as notable predictors of success. However, limitations were acknowledged, including the study's pilot nature and the restricted scope of features analyzed. The conclusions underline the necessity for expanded research that integrates additional factors, enhances the understanding of radiomic features concerning image acquisition parameters, and explores predictive capabilities relevant to the continuous scale of range of motion.

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