Evidence map›Paper›PMID 40581086›Full record

ArticleJournal of shoulder and elbow surgery2026

Accuracy of implant placement after preoperative planning using Blueprint software in inlay and onlay reverse total shoulder arthroplasty systems: a cadaver study.

Brittany Percin, Jared L Zitnay, Robert Z Tashjian, Gilles Walch, Peter N Chalmers, Christopher D Joyce, Heath B Henninger

Abstract read
In one paragraph

Article in Journal of shoulder and elbow surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Brittany PercinDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, USA; School of Medicine, University of California, San Diego, CA, USA.
Jared L ZitnayDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, USA.
Robert Z TashjianDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, USA.
Gilles WalchHop Privé J Mermoz-Groupe Ramsay, Centre Orthopédique Santy, Lyon, France.
Peter N ChalmersDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, USA.
Christopher D JoyceDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, USA.
Heath B HenningerDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA; Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA. Electronic address: heath.henninger@utah.edu.

Funding

From genomics to natural language processing: A protected environment for research computing in the health scienceS10OD021644 · OD · UNIVERSITY OF UTAH · PI CHEATHAM, THOMAS E. · 2017 to 2017
$494k
Biomechanics of Reverse Total Shoulder ArthroplastyR56AR067196 · NIAMS · UNIVERSITY OF UTAH · PI HENNINGER, HEATH BYRON · 2024 to 2024
$304k
NIAMS NIH HHS R56 AR067196NIH HHS S10 OD021644
6 · The paper itself

Abstract

backgroundAccurate implant placement is desirable in reverse total shoulder arthroplasty (rTSA). Prior studies have focused on the accuracy of patient-specific glenoid implant placement, with little data on humeral preparation. This study quantified both glenoid and humerus implant placement, with specific focus on differences between inlay and onlay humeral implant systems.

methodsTwenty cadaver shoulders were preoperatively planned in Blueprint software. After the rTSA was placed, computed tomography scans were obtained, and 3-dimensional models of the bones and implants were created. Errors were assessed for factors such as glenoid guide pin location, reaming depth, inclination, and version, as well as humeral implant height, inclination, and version, by comparing the models from planned and performed surgeries.

resultsGlenoid guide pin placement was accurate, with an error of mean ± standard deviation of 1.6 ± 0.7 mm. Although glenoid reaming depth appeared accurate (0.9 ± 1.4 mm), the variability between specimens ranged from -2.5 mm of over-reaming to 4.8 mm of under-reaming. Consequent glenoid inclination and version showed small mean error in inlay and onlay systems (1.4° ± 3.9° and -1.4° ± 4.2°, respectively) but large ranges among specimens (15.8° and 20.0°, respectively). Likewise, humeral implant height relative to the bone had small mean error (0.5 ± 3.4 and -0.8 ± 1.1 mm, respectively). The inlay height variation was nearly 3 times that of the onlay (11.8 and 3.6 mm, respectively). Error in effective humeral inclination was again small (0.9° ± 3.3° and -1.8° ± 3.7°, respectively), with large overall variation (11.4° and 12.4°, respectively). Humeral implant version was the most error-prone, where specimen-specific variation ranged nearly 40° between the plan and procedure. The glenoid or humeral preparation error did not differ between the inlay and onlay systems for any metric (P ≥ .059).

conclusionsThis study quantified the error in placing glenoid and humeral implants relative to a preoperative plan for both humeral inlay and onlay systems. With the exception of humeral implant version, the mean placement error was generally small. In contrast, specimen-specific implant placement had large errors, even when the average appeared acceptable. Device manufacturers should evaluate the ability of their preoperative planning software (like Blueprint) and instrumentation to control these variables in practice, especially humeral implant version, and specifically account for anatomic humeral torsion as it likely has a substantial impact on humeral implant placement. These procedure-to-procedure variations have biomechanical implications that could affect shoulder function and complications and negatively impact outcomes of patient-specific rTSA if left unchecked.

Indexed as

Arthroplasty, Replacement, ShoulderShoulder JointShoulder ProsthesisSoftwareSurgery, Computer-AssistedAgedAged, 80 and overCadaverFemaleHumansHumerusImaging, Three-DimensionalMaleMiddle AgedPreoperative CareProsthesis Designaccuracyarthroplastypatient-specific instrumentationpreoperative planningreverse total shoulderShoulder

Identifiers

PMID40581086
PMCPMC12225608

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.