Cleared Traditional

LIQUA-SONIC GEL (K841871) - FDA 510(k) Clearance

Class II Neurology device cleared through predicate-based substantial equivalence - typically does not require clinical trials.

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Mar 1985
Decision
311d
Days
Class 2
Risk

K841871 is an FDA 510(k) clearance for the LIQUA-SONIC GEL. Classified as Media, Electroconductive (product code GYB), Class II - Special Controls.

Submitted by Chester Labs, Inc. (Erlanger, US). The FDA issued a Cleared decision on March 14, 1985 after a review of 311 days - an unusually long review period, suggesting complex equivalence evaluation.

This device falls under the Neurology FDA review panel, regulated under 21 CFR 882.1275 - the FDA neurology device framework. The Traditional 510(k) pathway establishes clearance through substantial equivalence to a legally marketed predicate device, without requiring clinical trial data.

Device pattern: Standard predicate-based submission. Elevated predicate reliance profile. This clearance follows a standard predicate-based equivalence path within the Neurology review framework, consistent with the majority of Class II 510(k) submissions.

View all Chester Labs, Inc. devices

Submission Details

510(k) Number K841871 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received May 07, 1984
Decision Date March 14, 1985
Days to Decision 311 days
Submission Type Traditional
Review Panel Neurology (NE)
Summary -
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
163d slower than avg
Panel avg: 148d · This submission: 311d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code GYB Media, Electroconductive
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 882.1275
What this classification means

Class II devices require demonstration of substantial equivalence to a legally marketed predicate device. This pathway does not require clinical trials - it relies on engineering equivalence and performance data. Most Neurology devices follow this clearance model.