Cleared Special

K260509 - AutoContour (RADAC V5) (FDA 510(k) Clearance)

Class II Radiology device cleared through the Special 510(k) pathway - typically does not require clinical trials.

K260509 · Radformation, Inc. · Radiology device
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Mar 2026
Decision
30d
Days
Class 2
Risk

K260509 is an FDA 510(k) clearance for the AutoContour (RADAC V5). Classified as Radiological Image Processing Software For Radiation Therapy (product code QKB), Class II - Special Controls.

Submitted by Radformation, Inc. (New York, US). The FDA issued a Cleared decision on March 19, 2026 after a review of 30 days - a notably fast clearance cycle.

This device falls under the Radiology FDA review panel, regulated under 21 CFR 892.2050 - the FDA radiology and imaging software oversight framework. As a Special 510(k), this submission covers a manufacturer modification to an existing cleared device rather than a new device introduction.

Device pattern: Iterative device modification. Low regulatory complexity profile. This Special 510(k) clearance confirms that the manufacturer's modifications remained within the established regulatory envelope of the original cleared device.

View all Radformation, Inc. devices

Submission Details

510(k) Number K260509 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received February 17, 2026
Decision Date March 19, 2026
Days to Decision 30 days
Submission Type Special
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
77d faster than avg
Panel avg: 107d · This submission: 30d
Pathway characteristics
Modification to existing cleared device.

Device Classification

Product Code QKB Radiological Image Processing Software For Radiation Therapy
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 892.2050
Definition To Provide Semi-automatic Or Fully-automated Radiological Image Processing And Analysis Tools For Radiation Therapy. Software Implementing Artificial Intelligence (ai) Including Nonadaptive Machine Learning Algorithms Trained With Clinical And/or Artificial Radiological Images. In These Devices, The Algorithm Training Images Typically Impact Device Performance. Ai Based Radiological Image Processing Software Is Intended To Be Used In The Workflow Of Radiation Therapy. Adaptive Ai Algorithms Are Not Within The Scope Of This Product Code. Primary Radiation Dose Calculation Or Plan Optimization For Treatment Planning 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.

Regulatory Peers - QKB Radiological Image Processing Software For Radiation Therapy

All 45
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