K-numberK241819
Device nameCephNinja
ApplicantCyncronus, LLC
Product codeLLZ
Device classClass II
Decision dateJan 23, 2025
DecisionSubstantially Equivalent
Regulation892.2050
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

CephNinja is software-only dental imaging software designed for use by dental practices to perform cephalometric tracing, analysis, and measurement on lateral cephalometric x-ray images. It allows dentists to digitize anatomical landmarks, trace structures, and conduct standardized orthodontic analyses to assist in treatment planning and case diagnosis. The mobile application version is explicitly not for diagnostic use; only trained and licensed practitioners interpret results.

Technological characteristics

CephNinja operates on macOS/iOS/iPadOS platforms using Objective C, Swift, and C++, whereas the predicate SmartCeph runs on Windows PC. CephNinja performs 2D image analysis with standard image manipulation tools (zoom, rotate, brightness, contrast). It includes manual landmark tracing with predefined structures and provides ten standard cephalometric analyses (Downs, McNamara, Ricketts, Steiner, Tweed, Wits, Jarabak, Burstone/COGS, Alexander, Composite). It lacks some predicate features (wiggle gram, ABO/Alabama/McLaughlin analyses) and lacks advanced features like scanner connection and DICOM support.

Test standards cited

ISO 14971 (Medical Devices—Application of Risk Management to Medical Devices) and IEC 62304 (Medical Device Software Life Cycle Processes). The FDA guidance documents 'General Principles of Software Validation' and 'Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions' were also referenced.

Substantial equivalence argument

CephNinja is substantially equivalent to SmartCeph predicate because both perform identical intended functions: cephalometric tracing and analysis on 2D lateral x-ray images for orthodontic treatment planning by trained practitioners. Both employ the same types of measurements (distance, angle, ratio, difference), provide superimposition capability, and are standalone software devices that do not control patient care. Operating system and platform differences (Mac versus Windows) do not affect safety or effectiveness since the underlying image processing and measurement algorithms are functionally equivalent. Minor differences in available analyses and absence of ancillary features (wiggle gram, scanner connection) do not change the core intended use or clinical purpose. Performance testing confirmed measurement accuracy within clinically acceptable thresholds (<2 degrees and <2 mm).

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

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