Additive Orthopaedics Patient Specific 3D Locking Lattice Plates
Applicant
Additive Orthopaedics
Product Code
HRS · Orthopedic
Decision Date
Jan 10, 2019
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 888.3030
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
The Additive Orthopaedics Patient Specific 3D Printed Locking Lattice Plate is indicated for alignment, stabilization and fusion of fractures, osteotomies and arthrodesis of small bones such as the foot and ankle. It is a patient specific device.
Device Story
Patient-specific 3D-printed metallic bone fixation plate; designed for alignment, stabilization, and fusion of small bone fractures, osteotomies, and arthrodesis in foot and ankle surgery. Device geometry and dimensions are customized to individual patient anatomy using CT scan data (protocol per K180239). Manufactured from Ti6Al4V ELI titanium alloy; fixated using locking and non-locking screws. Used by orthopedic surgeons in clinical settings. Provides structural support for bone healing; benefits include anatomical fit tailored to patient-specific bone morphology.
Clinical Evidence
No clinical data provided. Substantial equivalence is based on non-clinical bench testing, including 4-point bending (static and dynamic) per ASTM F382, static torsion, static driving torque, removal torque, and static axial pullout per ASTM F543, as referenced from predicate K170214.
Technological Characteristics
Material: Medical grade titanium alloy Ti6Al4V ELI. Dimensions: 30-80mm. Manufacturing: 3D printing (additive manufacturing). Fixation: Locking and non-locking screws. Standards: ASTM F382 (bending), ASTM F543 (fasteners). Supplied non-sterile.
Indications for Use
Indicated for alignment, stabilization, and fusion of fractures, osteotomies, and arthrodesis of small bones (foot and ankle) in patients requiring patient-specific fixation.
Regulatory Classification
Identification
Single/multiple component metallic bone fixation appliances and accessories are devices intended to be implanted consisting of one or more metallic components and their metallic fasteners. The devices contain a plate, a nail/plate combination, or a blade/plate combination that are made of alloys, such as cobalt-chromium-molybdenum, stainless steel, and titanium, that are intended to be held in position with fasteners, such as screws and nails, or bolts, nuts, and washers. These devices are used for fixation of fractures of the proximal or distal end of long bones, such as intracapsular, intertrochanteric, intercervical, supracondylar, or condylar fractures of the femur; for fusion of a joint; or for surgical procedures that involve cutting a bone. The devices may be implanted or attached through the skin so that a pulling force (traction) may be applied to the skeletal system.
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January 10, 2019
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Additive Orthopaedics Gregory Kowalczyk President 44 Riverdale Ave Monmouth Beach, New Jersey 07750
#### Re: K183011
Trade/Device Name: Additive Orthopaedics Patient Specific 3D Locking Lattice Plates Regulation Number: 21 CFR 888.3030 Regulation Name: Single/Multiple Component Metallic Bone Fixation Appliances And Accessories Regulatory Class: Class II Product Code: HRS, HWC Dated: October 30, 2018 Received: October 31, 2018
## Dear Gregory Kowalczyk:
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 (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 located 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.
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
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801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.htm); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn
(http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
# Shumaya Ali -S
for
Mark N. Melkerson Director Division of Orthopedic Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K183011
Device Name
Additive Orthopaedics Patient Specific 3D Lattice Locking Plates
Indications for Use (Describe)
The Additive Orthopaedics Patient Specific 3D Printed Locking Lattice Plate is indicated for alignment, stabilization and fusion of fractures, osteotomies and arthrodesis of small bones such as the foot and ankle. It is a patient specific device.
Type of Use (Select one or both, as applicable)
| <span style="font-size:10pt;">☑ Prescription Use (Part 21 CFR 801 Subpart D)</span> |
|-------------------------------------------------------------------------------------|
| <span style="font-size:10pt;">☐ Over-The-Counter Use (21 CFR 801 Subpart C)</span> |
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## Additive Orthopaedics, LLC Patient Specific 3D Locking Lattice Plates
December 28, 2018
| 510K Summary (Per 21<br>CFR 807.92) | | |
|---------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------|
| General Company Information:<br>44 Riverdale Ave | Additive Orthopaedics, LLC.<br>Gregory Kowalczyk<br>President<br>Monmouth Beach, NJ 07750<br>Phone: (732) 882-6633<br>greg@additiveorthopaedics.com | |
| Date Prepared: | December 28, 2018 | |
| General Device Information: | | |
| Proprietary Name: | Additive Orthopaedics Patient Specific 3D Printed<br>Locking Lattice Plates | |
| System Classification: | Common Name: Plate, Fixation, Bone<br>Regulation Name: Single/multiple component metallic bone<br>fixation appliances and accessories;<br>Product Code: HRS--- Class II<br>Classification Name and Reference: 21 CFR 888.3030<br>Regulation Name: Smooth or Threaded metallic bone fixation<br>fastener and accessories;<br>Product Code: HWC--- Class II | |
| Predicate Devices: | | |
| Primary Predicate Device:<br>Company<br>Additive Orthopaedics | Product Name<br>Locking Lattice Plates | 510K Number<br>K170214 |
| Additional Predicate Device:<br>Company<br>BIOPRO, INC. | Product Name<br>BioPro Foot Plating System | 510K Number<br>K162674 |
| Reference Device:<br>Company<br>Additive Orthopaedics | Product Name<br>Patient Specific 3D Printed Bone Segments | 510K Number<br>K180239 |
The predicate devices have not been the subject of any design related recall.
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## Additive Orthopaedics, LLC Patient Specific 3D Locking Lattice Plates
December 28, 2018
#### Device Description
The Additive Orthopaedics Patient Specific 3D Printed Locking Lattice Plate is indicated for alignment, stabilization and fusion of fractures, osteotomies and arthrodesis of small bones such as the foot and ankle. This is a patient specific device which utilizes the CT scanning protocol previously cleared in K180239 by Additive Orthopaedics. These patient specific devices are manufactured within a size range of 30-80mm and are supplied non-sterile.
The subject device is manufactured from medical grade titanium alloy Ti6Al4V ELI and allows the surgeon to align and stabilize small bone osteotomies such as MPJ fusions, calcaneal osteotomies, Evans Osteotomies, opening wedge osteotomies and others. The plate is fixated using both locking and non-locking screws which were cleared in K 163593 (Additive Orthopaedics) and compatible with Additive Orthopaedics wedges (K153207 and K180239).
#### Indications for Use
The Additive Orthopaedics Patient Specific 3D Locking Lattice Plate is indicated for alignment, stabilization and fusion of fractures, osteotomies and arthrodesis of small bones such as the foot and ankle. This is a patient specific device.
#### Comparison of Technological Characteristics with the Predicate Device
#### Technological Characteristics Comparison
The Additive Orthopaedics Patient Specific 3D Locking Lattice Plate and the legally marketed predicate devices have similar indications, geometry, materials and manufacturing process. The subject device uses similar technology as the predicate to manufacture the plates. The difference is that the subject device is patient specific and the dimensions and geometry shall fall within the size ranges of 30-80mm. The dimensions and geometry of the Patient Specific 3D Printed Locking Lattice plates are patient specific, utilizing a previously cleared CT scanning protocol (K180239).
## Substantial Equivalence Non-Clinical Evidence
The device is manufactured using similar materials and manufacturing methods to the predicate device. The only difference is that the plates are manufactured for a specific patient using previously cleared CT scan protocols. Mechanical testing including 4-point bending (static and dynamic) per ASTM F382 as well as static torsion, static driving torque and removal torque, and static axial pullout per F543 were conducted on the predicate device and may be referenced in K170214.
## Substantial Equivalence --- Conclusions
The Additive Orthopaedics Patient Specific 3D Locking Lattice Plates have similar technologic characteristics of the predicate devices. These characteristics include the basic design, material, manufacturing process, size and fundamental technology. The differences between the subjected device and the predicate are the intended use. Specifically, the subject device is a patient specific device. The design characteristics of the subject system raises no new safety and effectiveness questions. From the evidence submitted in this 510(k), the subject devices can be expected to perform the same as 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.