K221556 · Deep Blue Medical Advances, Inc. · FTL · Nov 28, 2022 · General, Plastic Surgery
Device Facts
Record ID
K221556
Device Name
T-Line Hernia Mesh
Applicant
Deep Blue Medical Advances, Inc.
Product Code
FTL · General, Plastic Surgery
Decision Date
Nov 28, 2022
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 878.3300
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
The 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 or sublay approach in adults (greater than 21 years of age).
Device Story
T-Line Hernia Mesh is a surgical mesh for ventral hernia repair; constructed from knitted, heat-pressed medical-grade polypropylene monofilament yarn. Device features continuous, seamless extensions integrated into the mesh body; needles are swaged onto extension ends. Surgeons use these extensions to sew the mesh into the abdominal fascia, similar to suture placement. Used in clinical settings by surgeons for open onlay or sublay hernia repair. Device provides mechanical reinforcement of soft tissue where weakness exists. Benefits include securement to tissue via integrated extensions, facilitating repair.
Clinical Evidence
Bench-only and animal study data. In vivo GLP chronic animal study (porcine model) compared T-Line Hernia Mesh to Bard Soft Mesh control. Evaluated at 1, 3, and 6 months post-operatively. Endpoints included histological evaluation of inflammation, bioincorporation, fibrosis, and mesh contraction. Results showed no biologically significant differences between test and control meshes; normal inflammatory response observed; equivalent tissue response and mesh stability demonstrated up to 6 months.
Technological Characteristics
Polypropylene monofilament yarn; knitted and heat-pressed construction. Features integrated, continuous mesh extensions with swaged needles for securement. Standalone device; non-absorbable. No software or electronic components.
Indications for Use
Indicated for reinforcement of soft tissue for ventral hernia repair via open onlay or sublay approach in adults >21 years.
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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11/28/2022
Deep Blue Medical Advances, Inc. % Nancy Lincé President and CEO Lincé Consulting, LLC 111 Deerwood Road, Suite 200 San Ramon, California 94583
Re: K221556
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: September 9, 2022 Received: September 12, 2022
Dear Nancy Lincé:
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
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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 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 (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 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,
# Deborah A. Fellhauer -S
Deborah Fellhauer RN, BSN 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) K221556
Device Name T-Line Hernia Mesh
Indications for Use (Describe)
The 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 or sublay approach in adults (greater than 21 years of age).
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
- DATE PREPARED September 8, 2022
- SUBMITTER Deep Blue Medical Advances, Inc. 701 W Main Street, Suite 410 Durham, NC 27701 Phone: (919) 914-6039 Establishment Registration No.: 3017492634
### CONTACT PERSON
Nancy Lincé Lincé Consulting, LLC Phone: (650) 759-6186 Email: nlince@linceconsulting.com
- DEVICE T-Line® Hernia Mesh Common Name: Surgical MeshProduct Code(S): FTL CFR Classification and Name: 21 CFR§878.3300 Mesh, Surgical, Polymeric
- PREDICATE DEVICE K193144 T-Line® Hernia Mesh
Reference Devices: K052155 Bard Soft Mesh; 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 Meshare incorporated directly into the mesh body. The mesh design incorporatescontinuous, uninterrupted, seamless extensions from the mesh body to facilitate mesh securement to tissue. After knitting, needles are swaged 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.
- INTENDED USE The 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 or sublay approach in adults (greater than 21 years of age).
COMPARISON TO The T-Line® Hernia Mesh is identical to the T-Line® Hernia Mesh cleared PREDICATE under K193144, which is the primary predicate device. The intended use TECHNOLOGICAL and technological characteristics are identical to the predicate T-Line® CHARACTERISTICS Hernia Mesh. This 510(k) was limited to an expansion in the Indications for Use to include an open sublay approach. This 510(k) also references the Bard Soft Mesh (K052155) and the Ethicon, Inc. PROLENE Polypropylene Suture (K133356) which were used as the controls in the
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in vivo GLP chronic animal study to support the open sublay approach.
PERFORMANCE Based on the results of in vivo testing, the T-Line® Hernia Mesh DATA demonstrated substantially equivalent safety and performance characteristics when compared to the control mesh when performing open hernia repair via a sublav approach in a simulated use porcine model. There were no biologically significant differences between histological and gross findings for up to 6 months post- operatively. 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 reference Bard Soft Mesh throughout the duration of the study. No clinical observations, changes in clinical pathology parameters, or changes in bodyweights were linked to either the test or control meshes during the study. Microscopically, the same tissue reactions were seen with both the test and control reference mesh. consisting of both inflammatory and reparative processes. From a biological standpoint, the test and control reference mesh samples elicited an equivalent overall tissue response. Finally, there were no differences in mesh stability between the test and control reference mesh at any time point. Results therefore demonstrated equivalent safety and performance between the T-Line® Hernia Mesh and reference Bard Soft Mesh when surgically implanted via a sublay approach into Yucatan pigs for upto 6 months.
> Since the design of the T-Line® Hernia Mesh submitted under K193144 is unchanged, no additional performance testing was required as the test results previously submitted remain applicable to the subject T-Line® Hernia Mesh and demonstrated that the device meets functional, performance, and design requirements as well as safety standards.
- CONCLUSION Based on the indications for use, technological characteristics, performance testing, and comparison to the predicate and reference devices, substantial equivalence of the T-Line® Hernia Mesh used via a sublay approach has been demonstrated.
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.