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Automated three-dimensional measurements of version, inclination, and subluxation
- Source :
- Shoulder Elbow
- Publication Year :
- 2019
- Publisher :
- SAGE Publications, 2019.
-
Abstract
- Background Preoperative planning software has been developed to measure glenoid version, glenoid inclination, and humeral head subluxation on computed tomography (CT) for shoulder arthroplasty. However, most studies analyzing the effect of glenoid positioning on outcome were done prior to the introduction of planning software. Thus, measurements obtained from the software can only be extrapolated to predict failure provided they are similar to classic measurements. The purpose of this study was to compare measurements obtained using classic manual measuring techniques and measurements generated from automated image analysis software. Methods Ninety-five two-dimensional computed tomography scans of shoulders with primary glenohumeral osteoarthritis were measured for version according to Friedman method, inclination according to Maurer method, and subluxation according to Walch method. DICOM files were loaded into an image analysis software (Blueprint, Wright Medical) and the output was compared with values obtained manually using a paired sample t-test. Results Average manual measurements included 13.8° version, 13.2° inclination, and 56.2% subluxation. Average image analysis software values included 17.4° version (3.5° difference, p Conclusions Glenoid version and inclination values from the software and manual measurement on two-dimensional computed tomography were relatively similar, within approximately 4°. However, subluxation measurements differed by approximately 20%.
- Subjects :
- Orthodontics
Subluxation
Shoulder
medicine.diagnostic_test
business.industry
medicine.medical_treatment
Rehabilitation
Measure (physics)
Physical Therapy, Sports Therapy and Rehabilitation
Computed tomography
medicine.disease
Arthroplasty
Glenohumeral arthritis
Medicine
Head (vessel)
Orthopedics and Sports Medicine
Surgery
business
Subjects
Details
- ISSN :
- 17585740 and 17585732
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Shoulder & Elbow
- Accession number :
- edsair.doi.dedup.....a4ea91d14efe12d78e592ab02668d7cd