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.

Product Code: MYU FDA class 2

Accessory, Barium Sulfate, Methyl Methacrylate For Cranioplasty

Neurology

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The Barium Sulfate and Methyl Methacrylate Accessory for Cranioplasty is a neurosurgical material used in cranial repair procedures, where polymethyl methacrylate (PMMA) bone cement is mixed with barium sulfate (a radiopacifier) to allow radiographic visualization of the implanted material. It is used to reconstruct cranial defects following trauma, surgery, or infection. Classified as FDA Class 2, it requires 510(k) premarket clearance under regulation 882.5300 (Neurology specialty). This device carries the implant flag.

510(k) Clearances

6 matches
K Number
Device Name
TRACERS TA BONE CEMENT OPACIFIER, MODEL TCR-TA
BONE CEMENT RADIO-OPACIFIER
VISTA SCIENTIFIC BARIUM SULFATE, MODEL 3001-1
TRACERS BONE CEMENT OPACIFIER
BIOTRACE, MODEL 1730
PARALLAX TRACER RADIOPAQUE PARTICLES

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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