Not Cleared Direct

OsteoDetect (DEN180005) - FDA 510(k) Clearance

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

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May 2018
Decision
108d
Days
Class 2
Risk

DEN180005 is an FDA 510(k) submission (not cleared) for the OsteoDetect. Classified as Radiological Computer Assisted Detection/diagnosis Software For Fracture (product code QBS), Class II - Special Controls.

Submitted by Imagen Technologies, Inc. (New York, US). The FDA issued a Not Cleared (DENG) decision on May 24, 2018 after a review of 108 days.

This device falls under the Radiology FDA review panel, regulated under 21 CFR 892.2090 - the FDA radiology and imaging software oversight framework. The Traditional 510(k) pathway requires demonstration of substantial equivalence to a legally marketed predicate device - a standard the FDA determined was not met in this submission.

Device pattern: High-complexity regulatory submission. Elevated predicate reliance profile. This submission did not achieve clearance, indicating the FDA determined the device lacked sufficient predicate equivalence under the Radiology review framework.

View all Imagen Technologies, Inc. devices

Submission Details

510(k) Number DEN180005 FDA.gov
FDA Decision Not Cleared Not Substantially Equivalent (DENG)
Date Received February 05, 2018
Decision Date May 24, 2018
Days to Decision 108 days
Submission Type Direct
Review Panel Radiology (RA)
Summary -
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
1d slower than avg
Panel avg: 107d · This submission: 108d
Pathway characteristics

Device Classification

Product Code QBS Radiological Computer Assisted Detection/diagnosis Software For Fracture
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 892.2090
Definition A Radiological Computer Assisted Detection And Diagnostic Software For Suspected Fracture Is An Image Processing Device Intended To Aid In The Detection, Localization, And/or Characterization Of Fracture On Acquired Medical Images (e.g. Radiography, Mr, Ct). The Device Detects, Identifies And/or Characterizes Fracture Based On Features Or Information Extracted From Images, And May Provide Information About The Presence, Location, And/or Characteristics Of The Fracture To The User. Primary Diagnostic And Patient Management Decisions Are Made By The Clinical User.
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.