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: QTZ FDA class 2

Radiological Image Processing Software For Ablation Therapy Planning And Evaluation

Radiology

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The Radiological Image Processing Software for Ablation Therapy Planning and Evaluation is a software device that provides radiological image processing tools to assist clinicians in the planning, monitoring, and post-procedure evaluation of ablation therapy for tumors or other target tissues. It integrates with imaging systems to support accurate treatment delivery and outcome assessment. Classified as FDA Class 2 under regulation 892.2050, it requires 510(k) clearance in the Radiology specialty. The device is not an implant and not life-sustaining.

510(k) Clearances

9 matches
K Number
Device Name
myAblation Guide (VC10A)
HistoSonics® Planning Tool
BioTraceIO Vision (V1.7)
myAblation Guide (VB80A)
VisAble.IO
Artemis, Artemis TPO, Artemis MX
Ablation-fit
VisAble.IO
MIM-Ablation

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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