Tool · 510(k)

510(k) Predicate Finder

Find potential predicate devices for your 510(k) submission. Enter a K-number to find all clearances with the same product code, a three-letter product code to browse clearances directly, or search by device name.

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Describe your device and the Research Assistant searches 510(k)s, compares intended use, and drafts a predicate shortlist — with citations.

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Product Code: LEM FDA class 2

Human Lyophilized Dura Mater

Neurology

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Human lyophilized dura mater is a freeze-dried preparation of donor human dura mater tissue historically used as a surgical graft to repair defects in the meninges covering the brain or spinal cord. It is classified as FDA Class 2 under 21 CFR 882.5975 in the Neurology specialty; however, regulatory oversight has transitioned to CBER under 21 CFR Part 1271, where it is regulated as banked human tissue subject to donor eligibility, good tissue practice, registration, and listing requirements effective May 25, 2005. The product code is LEM. This device is flagged as an implant.

510(k) Clearances

2 matches
K Number
Device Name
DURA MATER
TUTOPLAST DURA

What is a Predicate Device?

A predicate device is a legally marketed device that a new 510(k) applicant uses to demonstrate substantial equivalence. The FDA's 510(k) pathway requires manufacturers to show that their device has the same intended use and similar technological characteristics as one or more predicate devices already cleared for commercial distribution.

Finding the right predicate is a critical step in 510(k) strategy. Manufacturers typically search for cleared devices with the same FDA product code, which groups devices by their intended use and regulatory classification. This tool helps you identify potential predicates by browsing all clearances within a product code.

Note that predicate devices must be legally marketed — they cannot be devices that were cleared but never commercialized, or devices subject to a mandatory recall. The determination of substantial equivalence considers intended use, technological characteristics, and performance data.

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