Cleared Traditional

K260055 - syngo.CT Brain Quantification

K260055 is an FDA 510(k) clearance for syngo.CT Brain Quantification, manufactured by Siemens Medical Solutions USA, Inc.. The device is a Class 2 Radiology device with product code QIH cleared through the Traditional 510(k) pathway after a 260-day FDA review.

K260055 · Siemens Medical Solutions USA, Inc. · Radiology device
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Sep 2026
Decision
260d
Days
Class 2
Risk

K260055 is an FDA 510(k) clearance for the syngo.CT Brain Quantification. Classified as Automated Radiological Image Processing Software within the QIH classification (a category dominated by AI-based automated radiology processing systems), Class II - Special Controls.

Submitted by Siemens Medical Solutions USA, Inc. (Knoxville, US). The FDA issued a Cleared decision on September 25, 2026 after a review of 260 days - an extended review cycle.

This device falls under the Radiology FDA review panel, regulated under 21 CFR 892.2050 - the FDA radiology and imaging software oversight framework. The Traditional 510(k) pathway establishes clearance through substantial equivalence to a legally marketed predicate device, without requiring clinical trial data.

Device pattern: Incremental AI imaging tool. Moderate-to-high equivalence dependency. Overall, this clearance reflects a predicate-aligned approval typical of modern AI radiology extensions - not a novel clinical breakthrough, but a validated iteration within an established regulatory category.

View all Siemens Medical Solutions USA, Inc. devices

FDA 510(k) Submission Details - K260055

510(k) Number K260055 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received January 08, 2026
Decision Date September 25, 2026
Days to Decision 260 days
Submission Type Traditional
Review Panel Radiology (RA)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Combination Product No
PCCP Authorized No
Regulatory Context
Review time vs. panel average
153d slower than avg
Panel avg: 107d · This submission: 260d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

QIH Device Classification - Class 2, Special Controls

Product Code QIH Automated Radiological Image Processing Software
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 892.2050
Definition To Provide Automated Radiological Image Processing And Analysis Tools. Software Implementing Artificial Intelligence Including Nonadaptive Machine Learning Algorithms Trained With Clinical And/or Artificial Data. In These Devices, The Algorithm Training Data Typically Impacts Device Performance. Adaptive Ai Algorithms Are Not Within Scope Of This Product Code.
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 Radiology devices follow this clearance model.

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