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: LIZ FDA class 2

Assay, T Lymphocyte Surface Marker

Hematology

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A T lymphocyte surface marker assay is a laboratory hematology test used to identify and quantify T lymphocytes by detecting specific cell-surface antigens, supporting the assessment of immune function, T-cell subset analysis, and the diagnosis of T-cell malignancies and immune deficiency disorders. The device is FDA Class 2, representing moderate risk and requiring 510(k) premarket clearance. It carries product code LIZ and is regulated under 21 CFR 864.5220 within the Hematology specialty. This device is eligible for third-party review.

510(k) Clearances

7 matches
K Number
Device Name
CD8 MONOCLONAL ANTIBODIES
TECHNICON H.1 SYSTEM, T LYMPHOCYTES METHOD
TBM-REAGENT FOR T,B CELL & MONOCYTES
ANTI-LEU-4 FITC LYSIN C BUFFER
WHITE BLOOD CELLS HUMAN TAND B
QUANTIGEN T & B CELL ASSAY
ORTHO SPECTRUM III & ORTHO-MUNE OK

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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