K181094 · Lntegra Lifesciences · FTL · Aug 2, 2018 · General, Plastic Surgery
Device Facts
Record ID
K181094
Device Name
Polydioxanone Surgical Scaffold
Applicant
Lntegra Lifesciences
Product Code
FTL · General, Plastic Surgery
Decision Date
Aug 2, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 878.3300
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
Polydioxanone Surgical Scaffold™ is intended for use in reinforcement of soft tissue where weakness exists.
Device Story
Polydioxanone Surgical Scaffold™ is a resorbable, monofilament knit surgical mesh composed of polydioxanone (PDO) thread. Used by surgeons in clinical settings to reinforce soft tissue where weakness exists. The device is provided sterile as a flat sheet, cut to size by the clinician, and implanted to provide temporary mechanical support. The PDO threads degrade via bulk hydrolysis; strength retention lasts approximately 3 months, with full absorption occurring within 9 months. The scaffold acts as a temporary bridge for tissue repair, gradually losing mass as the patient's own tissue integrates and heals. It is intended for prescription use.
Clinical Evidence
Bench testing included ball burst (ASTM D3787), suture pullout, tear (ASTM D2261), stiffness (ASTM D1388), and tensile strength (ASTM D5035) testing. In vitro hydrolytic degradation study (ASTM F1635-16) confirmed strength loss and absorption timelines. Biocompatibility testing per ISO 10993 confirmed the device is non-cytotoxic, non-irritating, non-sensitizing, non-pyrogenic, non-mutagenic, and hemocompatible. A 90-day porcine study compared the device to the predicate, evaluating hematology, serum chemistry, local host response, and mechanical strength; results showed the subject device was statistically equivalent or superior in tissue site strength compared to the predicate.
Technological Characteristics
Resorbable monofilament knit mesh made of uncolored/undyed polydioxanone (PDO). Mechanical properties include specific thickness, density, pore diameter, and tensile/burst/tear strengths. Degradation via bulk hydrolysis. Tested per ASTM D3787, D2261, D1388, D5035, and F1635-16. Biocompatibility per ISO 10993. Sterile, flat form factor.
Indications for Use
Indicated for reinforcement of soft tissue where weakness exists in patients requiring surgical mesh.
Regulatory Classification
Identification
Surgical mesh is a metallic or polymeric screen intended to be implanted to reinforce soft tissue or bone where weakness exists. Examples of surgical mesh are metallic and polymeric mesh for hernia repair, and acetabular and cement restrictor mesh used during orthopedic surgery.
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August 1, 2018
Surgical Innovation Associates, Inc. % Ms. Janice Hogan Partner Hogan Lovells US LLP 1735 Market Street, 23rd Floor Philadelphia, Pennsylvania 19103
Re: K181094
Trade/Device Name: Polydioxanone Surgical Scaffold™ Regulation Number: 21 CFR 878.3300 Regulation Name: Surgical mesh Regulatory Class: Class II Product Code: OWT Dated: July 3, 2018 Received: July 3, 2018
Dear Ms. Hogan:
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 (QS) 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 mediation-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.
# David Krause -S
for Binita S. Ashar, M.D., M.B.A., F.A.C.S. Director Division of Surgical Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K181094
Device Name Polydioxanone Surgical Scaffold
Indications for Use (Describe)
Polydioxanone Surgical Scaffold is indicated for use in reinforcement of soft tissue where weakness exists.
Type of Use (Select one or both, as applicable)
X Prescription Use (Part 21 CFR 801 Subpart D)
| Over-The-Counter Use (21 CFR 801 Subpart C)
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#### 510(k) SUMMARY
# Surgical Innovation Associates' Polydioxanone Surgical Scaffold™
#### Applicant
Surgical Innovation Associates, Inc. 965 West Chicago Ave Chicago, IL 60642
| Contact Person: | Alexei Mlodinow |
|-----------------|--------------------------------------------|
| Phone: | (626) 372-4884 |
| Fax: | (888) 851-1465 |
| Email: | Amlodinow@SurgicalInnovationAssociates.com |
| Date Prepared: | July 31, 2018 |
#### Device
| 510(k) Number | K181094 |
|----------------------|----------------------------------|
| Trade Name: | Polydioxanone Surgical Scaffold™ |
| Common Name: | Surgical Mesh |
| Classification Name: | Mesh, Surgical, Polymeric |
| Regulatory Class: | Class II |
| Product Code: | OWT |
#### Predicate Device
Novus Scientific AB, TIGR® Matrix Surgical Mesh, K163005, K092224
#### Intended Use / Indications for Use
Polydioxanone Surgical Scaffold™ is intended for use in reinforcement of soft tissue where weakness exists.
#### Device Description
Polydioxanone Surgical Scaffold™ is a resorbable, colorless, monofilament knit surgical mesh. Polydioxanone Surgical Scaffold™ is packaged individually and is provided sterile as a flat mesh that can be cut to the desired shape and size. Polydioxanone Surgical Scaffold™ is made entirely of uncolored and undyed polydioxanone (PDO) thread, which is similar in form to PDO sutures. The threads degrade via bulk hydrolysis once implanted. Strength retention decreases followed by mass loss in the threads. In vitro degradation studies show that Polydioxanone Surgical Scaffold™ threads retain some burst strength for 3 months, but not beyond that time. In vivo implantation studies in swine demonstrate that Polydioxanone Surgical Scaffold™ takes up to 9 months to fully absorb.
#### Technological Characteristics
The subject Polydioxanone Surgical Scaffold™ has very similar technological characteristics compared to the predicate TIGR® Matrix Surgical and mechanical properties such as mesh thickness, density, pore diameter, mesh knit characteristics, suture pull-out strength, tear strength, tensile strength, and burst strength are all similar between the products.
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# Performance Data
#### Bench Testing
Comparison to the predicate device was performed for:
- Dimensions
- . Ball burst strength - ASTM D3787, Standard Test Method For Bursting Strength of Textiles - Constant Rate of Traverse (CVT) Ball Burst Test
- . Suture pullout strength
- . Tear strength - ASTM D2261, Standard Test Method For Tearing Strength of Fabrics By The Tongue (Single Rip) Procedure (Constant-Rate-of-Extension Tensile Testing Machine
- . Stiffness - ASTM D1388, Standard Test Method For Stiffness of Fabrics
- . Tensile strength - ASTM D5035. Standard Test Method or Breaking Force and Elongation of Textile Fabrics (Strip Method).
Both devices had suitable characteristics for their indication for use.
A seventeen-week in vitro hydrolytic degradation study quided by ASTM F1635-16 Standard Test Method For In Vitro Degradation Testing of Hydrolytically Degradable Polymer Resins And Fabricated Forms For Surgical Implants was also performed. This study provided confirmation of both the duration to full strength loss and the anticipated time to full absorption as determined by serial molecular weight measurements.
#### Biocompatibility Testing
Polydioxanone Surgical Scaffold™ was tested according to ISO 10993 Biologic Evaluation of Medical devices. Polydioxanone Surgical Scaffold™ was found to be non-cytotoxic, nonirritating and non-sensitizing. Polydioxanone Surgical Scaffold™ exhibited no systemic toxicity. It was non-pyrogenic and non-mutagenic. It was also found to be hemocompatible. Polydioxanone Surgical Scaffold™ was non-reactive after a 4-week intramuscular implantation study. A 12-week implantation-based test for subchronic systemic toxicity was negative, and the implant sites demonstrated expected observations histologically.
# Animal Study
A porcine study comparing Polydioxanone Surgical Scaffold™ to the predicate device was conducted for 90 days with interim data gathered at 30 days. Hematology and serum chemistry were studied at 0, 30, and 90 days. Mechanical testing comparisons were done. Also, local host responses were characterized. Molecular weight was determined at days 0, 30, and 90. At all time points tissue site strength was either not statistically different between sites repaired with Polydioxanone Surgical Scaffold™ and TIGR® Matrix Surgical Mesh or sites repaired with Polydioxanone Surgical Scaffold™ had significantly greater strength.
# Substantial Equivalence
Based on the information provided herein, Polydioxanone Surgical Scaffold™ is substantially equivalent to the predicate, TIGR® Matrix Surgical Mesh. Polydioxanone Surgical Scaffold™ has the same intended uses and similar indications, technological characteristics, and principles of operation as its predicate device. The minor technological differences between
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Polydioxanone Surgical Scaffold™ and its predicate device raise no new issues of safety or effectiveness. Performance data demonstrate that Polydioxanone Surgical Scaffold™ is as safe and effective as TIGR® Matrix Surgical Mesh. Thus, Polydioxanone Surgical Scaffold™ is substantially equivalent.
## Conclusion
Polydioxanone Surgical Scaffold™ is substantially equivalent to TIGR® Matrix Surgical Mesh in indications for use and technological characteristics. Testing of material properties, biocompatibility, and bench testing showed both products have suitable characteristics for their indications for use.
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.