K241292 · Medacta International S.A. · KWS · Jan 30, 2025 · Orthopedic
Device Facts
Record ID
K241292
Device Name
MyShoulder Planner (5.3SSWPL)
Applicant
Medacta International S.A.
Product Code
KWS · Orthopedic
Decision Date
Jan 30, 2025
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 888.3660
Device Class
Class 2
Attributes
AI/ML, Software as a Medical Device
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Anatomical segmentation and landmark acquisition
Machine learning algorithms
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Indications for Use
The MyShoulder Planner software is a medical device intended for use by surgeons as a preoperative planning tool for total shoulder replacement surgery in skeletally mature individuals. The MyShoulder Planner software is specifically designed to support the planning of the humeral and glenoid components in a total shoulder replacement using Medacta Shoulder System prosthesis. The MyShoulder Planner software should not be used for diagnostic purposes. The MyShoulder Planner software processes CT scan images in DICOM format to allow surgeons to visualize, measure, and reconstruct anatomic data. These features enable surgeons to make decisions on implant size and positioning, including the ability to annotate anatomical structures. The MyShoulder Planner software leads to the generation of patient-specific planning reports, which summarize the preliminary decisions regarding implant size and positioning. The MyShoulder Planner software allows the surgeons to request the MyShoulder patient matched guides according to the pre-surgical plan.
Device Story
MyShoulder Planner is preoperative planning software for total shoulder replacement. Input: patient CT scan images (DICOM format). Operation: software segments 3D anatomy (automatically via machine learning or manually by engineer); surgeon visualizes, measures, and reconstructs anatomy; surgeon plans humeral and glenoid component positioning and size. Output: patient-specific planning reports; requests for patient-matched guides or intraoperative guidance files. Used in clinical settings by surgeons. Benefits: assists in surgical planning and implant positioning; facilitates ordering of patient-matched guides.
Clinical Evidence
No clinical studies were conducted. Software verification and validation were performed, including validation of automatic segmentation and landmark acquisition performance against manual segmentation.
Technological Characteristics
Software-based preoperative planning tool. Processes DICOM CT images. Features include 3D anatomical reconstruction, measurement, and annotation tools. Employs machine learning algorithms for automatic segmentation. Standalone software application.
Indications for Use
Indicated for preoperative planning of total shoulder replacement surgery in skeletally mature individuals using Medacta Shoulder System prosthesis. Not for diagnostic use.
Regulatory Classification
Identification
A shoulder joint metal/polymer semi-constrained cemented prosthesis is a device intended to be implanted to replace a shoulder joint. The device limits translation and rotation in one or more planes via the geometry of its articulating surfaces. It has no linkage across-the-joint. This generic type of device includes prostheses that have a humeral resurfacing component made of alloys, such as cobalt-chromium-molybdenum, and a glenoid resurfacing component made of ultra-high molecular weight polyethylene, and is limited to those prostheses intended for use with bone cement (§ 888.3027).
Special Controls
*Classification.* Class II. The special controls for this device are:(1) FDA's:
(i) “Use of International Standard ISO 10993 ‘Biological Evaluation of Medical Devices—Part I: Evaluation and Testing,’ ”
(ii) “510(k) Sterility Review Guidance of 2/12/90 (K90-1),”
(iii) “Guidance Document for Testing Orthopedic Implants with Modified Metallic Surfaces Apposing Bone or Bone Cement,”
(iv) “Guidance Document for the Preparation of Premarket Notification (510(k)) Application for Orthopedic Devices,” and
(v) “Guidance Document for Testing Non-articulating, ‘Mechanically Locked’ Modular Implant Components,”
(2) International Organization for Standardization's (ISO):
(i) ISO 5832-3:1996 “Implants for Surgery—Metallic Materials—Part 3: Wrought Titanium 6-aluminum 4-vandium Alloy,”
(ii) ISO 5832-4:1996 “Implants for Surgery—Metallic Materials—Part 4: Cobalt-chromium-molybdenum casting alloy,”
(iii) ISO 5832-12:1996 “Implants for Surgery—Metallic Materials—Part 12: Wrought Cobalt-chromium-molybdenum alloy,”
(iv) ISO 5833:1992 “Implants for Surgery—Acrylic Resin Cements,”
(v) ISO 5834-2:1998 “Implants for Surgery—Ultra-high Molecular Weight Polyethylene—Part 2: Moulded Forms,”
(vi) ISO 6018:1987 “Orthopaedic Implants—General Requirements for Marking, Packaging, and Labeling,” and
(vii) ISO 9001:1994 “Quality Systems—Model for Quality Assurance in Design/Development, Production, Installation, and Servicing,” and
(3) American Society for Testing and Materials':
(i) F 75-92 “Specification for Cast Cobalt-28 Chromium-6 Molybdenum Alloy for Surgical Implant Material,”
(ii) F 648-98 “Specification for Ultra-High-Molecular-Weight Polyethylene Powder and Fabricated Form for Surgical Implants,”
(iii) F 799-96 “Specification for Cobalt-28 Chromium-6 Molybdenum Alloy Forgings for Surgical Implants,”
(iv) F 1044-95 “Test Method for Shear Testing of Porous Metal Coatings,”
(v) F 1108-97 “Specification for Titanium-6 Aluminum-4 Vanadium Alloy Castings for Surgical Implants,”
(vi) F 1147-95 “Test Method for Tension Testing of Porous Metal,”
(vii) F 1378-97 “Standard Specification for Shoulder Prosthesis,” and
(viii) F 1537-94 “Specification for Wrought Cobalt-28 Chromium-6 Molybdenum Alloy for Surgical Implants.”
Predicate Devices
Blueprint Patient Specific Instrumentation (K203315)
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January 30, 2025
Image /page/0/Picture/1 description: The image shows the logos of the Department of Health & Human Services and the Food and Drug Administration (FDA). The Department of Health & Human Services logo is on the left, and the FDA logo is on the right. The FDA logo is a blue square with the letters "FDA" in white, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Medacta International S.A. % Christopher Lussier Senior Director, Quality, Regulatory and Clinical Research Medacta USA 6386 Global Drive. Suite 101 Memphis, Tennessee 38141
Re: K241292
Trade/Device Name: MyShoulder Planner (5.3SSWPL) Regulation Number: 21 CFR 888.3660 Regulation Name: Shoulder joint metal/polymer semi-constrained cemented prosthesis Regulatory Class: Class II Product Code: KWS, QHE, LLZ Dated: Mav 8, 2024 Received: December 27, 2024
Dear Christopher Lussier:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device"
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(https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30. Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review. the OS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rue"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advicecomprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
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Sincerely,
Farzana Sharmin - C Digitally signed by Farzana Shamin -S
Farzana Sharmin, PhD Assistant Director DHT6A: Division of Joint Arthroplasty Devices OHT6: Office of Orthopedic Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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## Indications for Use
Submission Number (if known)
K241292
Device Name
MyShoulder Planner (5.3SSWPL)
## Indications for Use (Describe)
The MyShoulder Planner software is a medical device intended for use by surgeons as a preoperative planning tool for total shoulder replacement surgery in skeletally mature individuals. The MyShoulder Planner software is specifically designed to support the planning of the humeral and glenoid components in a total shoulder replacement using Medacta Shoulder System prosthesis. The MyShoulder Planner software should not be used for diagnostic purposes. The MyShoulder Planner software processes CT scan images in DICOM format to allow surgeons to visualize, measure, and reconstruct anatomic data. These features enable surgeons to make decisions on implant size and positioning, including the ability to annotate anatomical structures. The MyShoulder Planner software leads to the generation of patient-specific planning reports, which summarize the preliminary decisions regarding implant size and positioning. The MyShoulder Planner software allows the surgeons to request the MyShoulder patient matched guides according to the pre-surgical plan.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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# 510(k) Summary
#### I. Submitter
Medacta International SA Strada Regina 6874 Castel San Pietro (CH) Switzerland Phone (+41) 91 696 60 60 Fax (+41) 91 696 60 66
Primary Contact: Chris Lussier, Senior Director, Quality and Regulatory, Medacta USA Applicant Contact: Stefano Baj, Regulatory and Compliance Director, Medacta International SA Date Prepared: May 08, 2024 Date Revised: January 30, 2025
#### II. Device
| Device Proprietary Name: | MyShoulder Planner (5.3SSWPL) |
|--------------------------|-------------------------------------------------------------------|
| Common or Usual Name: | Prosthesis, shoulder, semi-constrained, metal/polymer cemented |
| Classification Name: | Shoulder joint metal/polymer semi-constrained cemented prosthesis |
| Primary Product Code: | KWS |
| Secondary Product Code: | LLZ, QHE |
| Regulation Number: | 21 CFR 888.3660 |
| Device Classification: | II |
#### III. Predicate Device
Substantial equivalence is claimed to the following primary predicate device:
- Blueprint Patient Specific Instrumentation, K203315, Tornier SAS
#### IV. Reference device
- MyShoulder Placement Guides, K190738, Medacta International ●
#### V. Device Description
The MyShoulder Planner is a software designed to create patient-specific preoperative plans based on CT scans. It is used to visualize the effect of different devices and positioning options on the patient's shoulder joint biomechanics. It allows the surgeon to preoperatively plan the humeral and glenoid components in total shoulder replacement after the segmentation of a 3D model of the patient's anatomy that can be performed automatically by the software, which uses machine learning algorithms, or manually by a designated Medacta engineer.
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After the planning, through the software, the user can request patient-matched guides as well as intraoperative guidance system compatible file.
#### VI. Indications for Use
The MyShoulder Planner software is a medical device intended for use by surgeons as a preoperative planning tool for total shoulder replacement surgery in skeletally mature individuals.
The MyShoulder Planner software is specifically designed to support the planning of the humeral and glenoid components in a total shoulder replacement using Medacta Shoulder System prosthesis. The MyShoulder Planner software should not be used for diagnostic purposes.
The MyShoulder Planner software processes CT scan images in DICOM format to allow surgeons to visualize, measure, and reconstruct anatomic data. These features enable surgeons to make decisions on implant size and positioning, including the ability to annotate anatomical structures.
The MyShoulder Planner software leads to the generation of patient-specific planning reports, which summarize the preliminary decisions regarding implant size and positioning.
The MyShoulder Planner software allows the surgeons to request the MyShoulder patient matched guides according to the pre-surgical plan.
#### VII. Comparison of Technological Characteristics
The subject MyShoulder Planner and the predicate Blueprint Patient Specific Instrumentation (K203315) are substantially equivalent with respect to the following characteristics:
- design concept/principle of operation/general workflow;
- operative system compatibility;
- input images and related importation method;
- user interface:
- segmentation and landmark acquisition method; and ●
- measurements output.
The subject MyShoulder Planner only differs from the predicate Blueprint Patient Specific Instrumentation (K203315) with respect to the management of the patient-matched guides since the subject device does not allow guide design inside the software, but enables guides to be ordered as designed by Medacta. This difference does not raise any new issue of safety and effectiveness since the patient-matched guides are designed and managed as per K190738.
Additional minor differences are related to the compatibility of each device with the related companies' systems and implants, but they have no effect on safety and effectiveness as demonstrated by verification and validation activities.
## Discussion
The comparison of technological characteristics and performance data provided within the submission supports the substantial equivalence of the subject device respect to the predicate device.
## VIII. Performance Data
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Based on the risk analysis, verification and validation activities were conducted to written protocols. The following software verification and validations are provided in support of the substantial equivalence determination:
## Non-Clinical Studies
- Software verification and validation including segmentation validation . Automatic segmentation and landmark acquisition performance was adequately verified in comparison to manual segmentation.
Clinical Studies:
- No clinical studies were conducted. ●
#### IX. Conclusion
The information provided above supports that the subject device is substantially equivalent to the predicate device.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.