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      CT-Based 3D Printing of the Glenoid Prior to Shoulder Arthroplasty: Bony Morphology and Model Evaluation

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          Abstract

          To demonstrate the 3D printed appearance of glenoid morphologies relevant to shoulder replacement surgery and to evaluate the benefits of printed models of the glenoid with regard to surgical planning. A retrospective review of patients referred for shoulder CT was performed, leading to a cohort of nine patients without arthroplasty hardware and exhibiting glenoid changes relevant to shoulder arthroplasty planning. Thin slice CT images were used to create both humerus-subtracted volume renderings of the glenoid, as well as 3D surface models of the glenoid, and 11 printed models were created. Volume renderings, surface models, and printed models were reviewed by a musculoskeletal radiologist for accuracy. Four fellowship-trained orthopaedic surgeons specializing in shoulder surgery reviewed each case individually as follows: First, the source CT images were reviewed, and a score for the clarity of the bony morphologies relevant to shoulder arthroplasty surgery was given. The volume rendering was reviewed, and the clarity was again scored. Finally, the printed model was reviewed, and the clarity again scored. Each printed model was also scored for morphologic complexity, expected usefulness of the printed model, and physical properties of the model. Mann–Whitney–Wilcoxon signed rank tests of the clarity scores were calculated, and the Spearman’s ρ correlation coefficient between complexity and usefulness scores was computed. Printed models demonstrated a range of glenoid bony changes including osteophytes, glenoid bone loss, retroversion, and biconcavity. Surgeons rated the glenoid morphology as more clear after review of humerus-subtracted volume rendering, compared with review of the source CT images ( p = 0.00903). Clarity was also better with 3D printed models compared to CT ( p = 0.00903) and better with 3D printed models compared to humerus-subtracted volume rendering ( p = 0. 00879). The expected usefulness of printed models demonstrated a positive correlation with morphologic complexity, with Spearman’s ρ 0.73 ( p = 0.0108). 3D printing of the glenoid based on pre-operative CT provides a physical representation of patient anatomy. Printed models enabled shoulder surgeons to appreciate glenoid bony morphology more clearly compared to review of CT images or humerus-subtracted volume renderings. These models were more useful as glenoid complexity increased.

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          Author and article information

          Contributors
          kcwang@gmail.com
          Journal
          J Digit Imaging
          J Digit Imaging
          Journal of Digital Imaging
          Springer International Publishing (Cham )
          0897-1889
          1618-727X
          28 February 2019
          October 2019
          : 32
          : 5
          : 816-826
          Affiliations
          [1 ] ISNI 0000 0004 0419 6661, GRID grid.280711.d, Baltimore VA Medical Center, ; Baltimore, MD USA
          [2 ] ISNI 0000 0001 2175 4264, GRID grid.411024.2, Department of Diagnostic Radiology and Nuclear Medicine, , University of Maryland, School of Medicine, ; Baltimore, MD USA
          [3 ] ISNI 0000 0004 1936 8796, GRID grid.430387.b, Department of Pathology and Laboratory Medicine, , Rutgers New Jersey Medical School, ; Newark, NJ USA
          [4 ]Southeast Radiology, Chester, PA USA
          [5 ] ISNI 0000 0001 2175 4264, GRID grid.411024.2, Department of Orthopaedics, , University of Maryland, School of Medicine, ; Baltimore, MD USA
          [6 ] ISNI 0000 0001 0421 5525, GRID grid.265436.0, 3D Medical Applications Center, Department of Radiology, Walter Reed National Military Medical Center, Radiology and Radiological Services & Naval Postgraduate Dental School, , Uniform Services University of the Health Sciences, ; Bethesda, MD USA
          [7 ] ISNI 0000 0004 0385 7798, GRID grid.413595.f, Guthrie Clinic, ; Sayre, PA USA
          Author information
          http://orcid.org/0000-0002-6475-814X
          Article
          PMC6737174 PMC6737174 6737174 177
          10.1007/s10278-019-00177-4
          6737174
          30820811
          ce8b1a9d-a2d4-4e4b-b961-3be91fe459eb
          © Society for Imaging Informatics in Medicine 2019
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          © Society for Imaging Informatics in Medicine 2019

          Computed tomography,Surgical planning,Shoulder arthroplasty,3D printing,Glenoid morphology

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