K193144 · Deep Blue Medical Advances, Inc. · FTL · Mar 30, 2020 · General, Plastic Surgery
Device Facts
Record ID
K193144
Device Name
T-Line Hernia Mesh
Applicant
Deep Blue Medical Advances, Inc.
Product Code
FTL · General, Plastic Surgery
Decision Date
Mar 30, 2020
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 878.3300
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
T-LINE™ HERNIA MESH is indicated for the reinforcement of soft tissue where weakness exists for the repair of ventral hernias performed via an open onlay approach.
Device Story
T-Line Hernia Mesh is a surgical mesh designed for ventral hernia repair. It consists of a polypropylene mesh body with integrated, continuous, seamless extensions. During open onlay surgery, surgeons use needles swaged onto these extensions to sew the mesh directly into the abdominal fascia, similar to suture placement. This design aims to reduce stress at the mesh-tissue-suture interface. The device is intended for use by surgeons in an operating room setting. By providing integrated fixation, the mesh facilitates securement to the abdominal wall, promoting bioincorporation of tissue while reinforcing the weakened area.
Clinical Evidence
Bench testing and in vivo porcine model study. The study compared T-Line Hernia Mesh to the Bard Soft Mesh control in Yucatan pigs over 6 months. Endpoints included histological evaluation of inflammation, bioincorporation, fibrosis, and mesh contraction. Results showed no biologically significant differences between the test and control devices; both elicited equivalent tissue responses and demonstrated stable bioincorporation with no adverse local or systemic effects.
Technological Characteristics
Material: medical grade polypropylene monofilament yarn. Design: large-pore structure, knit mesh with integrated, seamless extensions. Fixation: needles swaged onto extensions for direct fascial suturing. Sterilization: not specified. Connectivity: N/A. Software: N/A.
Indications for Use
Indicated for reinforcement of soft tissue in patients with ventral hernias requiring repair via an open onlay approach.
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.
Ethicon, Inc. PROLENE Polypropylene Suture (K133356)
Submission Summary (Full Text)
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Image /page/0/Picture/0 description: The image contains two logos. On the left is the Department of Health & Human Services logo. On the right is the FDA logo, which includes the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue text.
March 30, 2020
Deep Blue Medical Advances, Inc. % Nancy Lince Regulatory Affairs Consultant Lince Consulting, LLC 111 Deerwood Road. Suite 200 San Ramon, California 95483
Re: K193144
Trade/Device Name: T-Line Hernia Mesh Regulation Number: 21 CFR 878.3300 Regulation Name: Surgical Mesh Regulatory Class: Class II Product Code: FTL Dated: November 11, 2019 Received: November 13, 2019
Dear Ms. Lince:
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/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 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 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).
Sincerely,
Cindy Chowdhury, Ph.D., M.B.A. Acting Assistant Director DHT4B: Division of Infection Control and Plastic Surgery Devices OHT4: Office of Surgical and Infection Control Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K193144
Device Name T-Line Hernia Mesh
Indications for Use (Describe)
T-LINE™ HERNIA MESH is indicated for the reinforcement of soft tissue where weakness exists for the repair of ventral hernias performed via an open onlay approach.
| 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
- November 11, 2019 Date Prepared
- SUBMITTER Deep Blue Medical Advances, Inc. 701 W Main Street. Suite 410 Durham, NC 27701 Phone: (919) 914-6039 Establishment Registration No.: TBD
### Contact Person Nancv Lincé Lincé Consulting, LLC Phone: (650) 759-6186 Email: nlince@linceconsulting.com
- T-Line™ Hernia Mesh DEVICE COMMON NAME: Surgical Mesh Product Code(s): FTL CFR CLASSIFICATION AND NAME: 21 CFR§878.3300 Mesh, Surgical, Polymeric
- Predicate Device K052155 Bard Soft Mesh Reference Device: K133356 Ethicon, Inc. PROLENE Polypropylene Suture
- DEVICE The T-Line Hernia Mesh is manufactured by knitting and heat pressing DESCRIPTION standard medical grade polypropylene monofilament yarn using wellestablished standard processes that are used to manufacture other commercially available hernia meshes. Mesh extensions are used to apply the device to the abdominal wall. The extensions of the T-Line Hernia Mesh are incorporated directly into the mesh body. The mesh design incorporates continuous, uninterrupted, seamless extensions from the mesh body to facilitate mesh securement to tissue. After knitting, needles are swaqed onto the ends of the extensions to allow the extensions to be sewn into the abdominal fascia by surgeons akin to how sutures are sewn into fascia.
- T-LINE™ HERNIA MESH is indicated for the reinforcement of soft tissue INTENDED USE where weakness exists for the repair of ventral hernias performed via an open onlay approach.
Comparison to The T-Line Hernia Mesh is substantially equivalent to the Bard Soft Mesh (K052155), which is the primary predicate device. This 510(k) also PREDICATE references the Ethicon, Inc. PROLENE Polypropylene Suture (K133356) to TECHNOLOGICAL address the technological difference (i.e. extensions versus suture fixation) CHARACTERISTICS between the subject and predicate device. The T-Line Hernia Mesh has the same intended use and similar technological characteristics as the predicate surgical mesh device. Specifically, both devices are intended for use in soft tissue reinforcement with similar materials and design characteristics. The characteristics evaluated such as knit, thickness, and filament diameter are within the same ranges. Both devices are designed with a large-pore
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structure to promote bioincorporation of tissue. The primary difference is that the subject device is designed with extensions that are incorporated (sewn) into the fascia to reduce the stresses currently placed on the mesh, tissue. suture interface. The T-Line Hernia Mesh extensions are made from the same polypropylene material as the mesh body and are knit by the loom as part of the mesh knit. The extension surface area is approximately 15 times qreater than the surface area of #0 polypropylene suture.
Based on the results of in vivo testing, the T-Line Hernia Mesh demonstrated PERFORMANCE DATA substantially equivalent safety and performance characteristics when compared to the predicate mesh when performing open hernia repair in a simulated use porcine model. There were no biologically significant differences between histologic and gross findings for up to 6 months postoperatively. All animals showed good bioincorporation and there was no evidence of adverse local or systemic effects of either mesh in any animal. The results revealed a normal inflammatory response to the polypropylene meshes.
> At 1-, 3-, and 6- month post-operative endpoints, histological evaluation of inflammation, bioincorporation and fibrosis at the T-Line Hernia Mesh and Bard Mesh control sites was conducted and associated cellular populations were scored and compared. Additionally, potential mesh contraction was assessed for both test and control mesh over time. Results showed no biologically significant differences between the T-Line Hernia Mesh and predicate Bard Soft Mesh throughout the duration of the study. No clinical observations, changes in clinical pathology parameters, or changes in body weights were linked to either the test or control meshes during the study. Microscopically, the same tissue reactions were seen with both the T-Line and the Control reference mesh, consisting of both inflammatory and reparative processes. From a biological standpoint, the T-Line and Control Reference mesh samples elicited an equivalent overall tissue response. Finally, there were no differences in mesh stability between the T-Line and Control reference mesh at any time point. Results therefore demonstrated equivalent safety and performance between the T-Line Hernia Mesh and predicate Bard Soft Mesh when surgically implanted into Yucatan pigs for up to 6 months.
> Performance specifications for the subject device were derived from a variety of design inputs; including procedural characteristics and requirements, clinical input from physicians, review of predicate device characteristics and labeling, user interface considerations, relevant external standards, and outputs from the company's risk management process. The data showed the T-Line Hernia Mesh functions as intended and does not raise any new issues of safety and effectiveness when compared to the predicate device.
CONCLUSION Based on the indications for use, technological characteristics, performance testing, and comparison to the predicate device, the T-Line Hernia Mesh is substantially equivalent to the currently marketed 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.