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Our biggest upgrade yet.
Our commitment to rebuilding lives is not just a promise, it's a journey to advancing industry standards1. Together with our customers, we are continuing to innovate and shape the future of shoulder surgery by partnering with teams across Stryker including Sports Medicine and Mako and Enabling Technologies.
Blueprint
Mako Shoulder
Instability on Blueprint
One platform. Broad capabilities.
Introducing 4.3.1 -- bringing additional features and expanded capabilities as we continue to advance digital shoulder planning, with tools that support usability and surgeons planning workflow.
Leading orthopedic teams trust Blueprint with over 350k case plans globally3
Blueprint provides the tools to help surgeons, anticipate intraoperative challenges and evaluate the range of implant types that could be used.5,10 Blueprint automatically creates the virtual 3D implantation environment, enabling convenient planning without the wait of manual segmentation.*
*For Blueprint primary planning only. Manual segmentation required for Revision Planning.
Designed for all cases
From an A1 glenoid to a revision case, and anything in between
Precise and reproducible 3D measurements2,5
Automated 3D reconstruction and measurement calculations
Informed decision-making5,6
Better understand glenoid, humeral and soft tissue deformities
Enables accurate glenoid positioning4, 5, 7, 8, 11, 12
Minimizing the risk of glenoid loosening
When patient care is at the forefront,
planning is everything
Planning for a challenging shoulder case is as unique as a patient’s anatomy. Elevate your complex shoulder arthroplasty cases with the power of 3D planning; single-stage or two-stage revisions, humeral or scapular fractures, primary cases and full revisions.
Automated 3D reconstruction
Automated 3D data, such as glenoid orientation, humeral subluxation, implant seating, and ream depth provides meaningful information about your surgical options without performing a single manual measurement.2
Surgeon controlled planning
Preoperative visualization of implant positioning and surgical decision-making provides surgeons with tools to help understand patient anatomy, anticipate intraoperative challenges and evaluate the range of implant types that could be used.5,10
Added features for elevated planning.
Along with the features in Blueprint today, we have expanded the platform to include pre-pathological glenoid, Blueprint Assist, and Instability planning.
Blueprint Assist
Proposed glenoid-only planning suggestions based on the combination of the patient’s anatomy and the surgeon’s input planning preferences.
Blueprint Assist does not take into account central screw size or vault positioning.
Pre-pathological glenoid
A model of the pre-pathologic glenoid that
serves as a reference for predicting the shape
and characteristics of a healthy glenoid before
any pathology or injury occurred.
Instability planning
Automated, interactive measurements and visuals empower surgeons to make informed, patient-specific decisions as they consider soft tissue, bone block, and Latarjet procedures.
The market’s first digital platform dedicated to shoulder instability offers precise2,5, data-driven planning while preserving individualized surgical planning by providing:
- 3D anatomy visualizations
- Automated glenoid bone loss measurements
- Scapula curvature analysis
- 3D healthy surface predictions
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Coming soon!
Blueprint mobile app
Visualize your plans on the go with the Blueprint mobile app including case visualization, access to individual case data and notifications for ready to plan cases
The Blueprint mobile app is a non-device MDSS
It takes a generation to change surgeons philosophies, and with Blueprint we’ve changed people’s way of thinking in a decade.
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References
- Bercik MJ, Kruse K 2nd, Yalizis M, Gauci MO, Chaoui J, Walch G. A modification to the Walch classification of the glenoid in primary glenohumeral osteoarthritis using three-dimensional imaging. J Shoulder Elbow Surg. 2016 Oct;25(10):1601-6.
- Boileau P, Cheval D, Gauci, MD, Holzer N, Chaoui J, Walch G. Automated three-dimensional of glenoid version and inclination in arthritic shoulders. J Bone Joint Surg. 2018 Jan 3; 100(1) 57-65.
- Based on internal data as of 5/1/2025.
- Gilles Walch, MD, Peter S. Vereridis, MD, Pascal Boileau, MD, Pierric Deransart, M. Eng, Jean Chaoui, PhD. Three-dimensional planning and use of patient-specific guides improve glenoid component position: an in vitro study.
- Werner B, Hudek R, Burkhart K, Gohlke F. The influence of three-dimensional planning on decision-making in total shoulder arthroplasty. J Shoulder Elbow Arthroplasty. 2017 Feb 7; 28(8): 1477-1483.
- Donohue K, Ricchetti E, Ho J, Iannotti J. The association between rotator cuff muscle fatty infiltration and glenoid morphology in glenohumeral osteoarthritis. J Bone Joint Am. 2018;100:381-7.
- Iannotti J, Jun, B.J, Patterson, Ricchetti E. Quantitative measurement of osseous pathology in advanced glenohumeral osteoarthritis. J Bone Elnow Surg. 2017;99:1460-8.
- Walch G, Young A, Melis, Gazielly D, Loew M, Boileau P. Results of a convex-back cemented keeled glenoid component in primary osteroarthritis: multicenter study with a follow-up greater than 5 years. J Shoulder Elbow Surg (2011) 20; 285-294.
- Athwal G et al. Augmented glenoid component designs for type B2 erosions: a computational comparison by volume of bone removal and quality of remaining bone. J Shoulder Elbow Surg (2015).
- Aleem A, Orvets N, Patterson B, Chamberlain A, Keener J. Risk of perforation is high during corrective reaming of retroverted glenoids: A computer simulation study. Clin Orthop Relat Res. 2018 476: 1612-1619. Comment list foote
- Gauci M.O, Boileau P, Baba M, Chaoui J, Walch G. Patient specific glenoid guides provide accuracy and reproducibility in total shoulder arthroplasty. J Shoulder Elbow Surg, 2016 July; 98-B
- Jacquot, A., Gauci, MO., Chaoui, J. et al. Proper benefit of a three dimensional pre-operative planning software for glenoid component positioning in total shoulder arthroplasty. International Orthopaedics (SICOT) 42, 2897–2906 (2018). https://doi.org/10.1007/s00264-018-4037-1
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