(213 days)
CephNinja software is designed for use by dental practices for cephalometric tracing and presenting patient images which are utilized by dental professionals to assist in treatment planning and case diagnosis. Results produced by the software's diagnostic and treatment planning tools are dependent on the interpretation of trained and licensed dental practitioners. Mobile application is not for diagnostic use.
CephNinja is a software-only dental image device which allows the user to digitize landmarks on a patient's digital lateral cephalometric x-ray image, trace cephalometric structures, conduct cephalometric analysis, and view cephalalometric results. CephNinja is imaging software designed for use in dentistry. The main CephNinja software functionality includes image visualization and cephalometric tracing and measurements. CephNinja is used by dental professionals for the visualization of patient images retrieved from a dental cephalometric imaging device scanner for assisting in case diagnosis, review, and treatment planning for orthodontic and orthognathic applications. If a suitable image file (specifically, a lateral cephalometric x-ray) has been imported into the software, the software can be used to define a number of structures and landmarks to establish specific anatomical features. The positions of specific landmarks are used to render tracing lines and calculate measurements used in orthodontic treatment planning. The software operates on standard Mac/iMac (OS Big Sur M1) hardware, and when not used for diagnostic purposes, iPhone/iPad (OS 9.0 or higher) hardware. When iMac hardware is used, images are displayed on the connected display/monitor. CephNinja is a standalone product.
The provided text describes a 510(k) premarket notification for a device named "CephNinja." The document outlines the device's intended use, technical characteristics, and a comparison to a predicate device (SmartCeph) and a reference device (Dolphin Blue Imaging 2.0). However, the document does not contain specific details about the acceptance criteria or the study that proves the device meets those criteria in a structured format with specific performance metrics and statistical outcomes.
The section "J. Summary of Performance Testing" briefly mentions non-clinical bench testing and states that "all differences in individual angular and linear measurement values between the measurement methods must be within the clinically meaningful threshold of <2 degrees and <2 mm, respectively." This is the only specific quantitative acceptance criterion identified. The document states that the testing demonstrated that CephNinja produces "accurate, reliable, and precise output data" but does not provide the actual measured performance values (e.g., mean difference, standard deviation, number of measurements within the threshold, etc.).
Therefore, based solely on the provided text, I can extract the acceptance criterion but cannot fill in the details of the "reported device performance" beyond a qualitative statement of success. Many of the requested details about the study design (sample size, data provenance, number of experts, adjudication, MRMC, standalone performance, training set details) are also not present in the document provided.
Here's a breakdown of the information that can be extracted and what is missing:
1. Acceptance Criteria and Reported Device Performance
| Acceptance Criteria | Reported Device Performance (as stated in the document) |
|---|---|
| Differences in individual angular measurement values between CephNinja and manual tracing methods must be <2 degrees. | "Non-clinical bench testing of CephNinja included evaluation of device outputs when compared to the conventional reference standard of manual tracing...Overall, the technical performance evaluation of CephNinja demonstrated that CephNinja is an SaMD with good validity, generating relevant outputs for assisting in orthodontic treatment planning and case diagnosis in the clinical practice setting. The accurate, reliable, and precise output data produced by CephNinja has been shown to achieve its intended purpose of supporting clinical decision-making for orthodontic patients." (Specific performance values like average difference or percentage within tolerance are NOT provided). |
| Differences in individual linear measurement values between CephNinja and manual tracing methods must be <2 mm. | Same as above. (Specific performance values like average difference or percentage within tolerance are NOT provided). |
2. Sample size used for the test set and the data provenance
- Test set sample size: Not specified in the provided text.
- Data provenance: Not specified (e.g., country of origin, retrospective or prospective).
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts
- Number of experts: Not specified.
- Qualifications of experts: Not specified beyond "manual tracing" being the "conventional reference standard."
4. Adjudication method (e.g., 2+1, 3+1, none) for the test set
- Adjudication method: Not specified. The ground truth method is described as "manual tracing," implying a single standard for comparison, but details on how this manual tracing itself was verified or adjudicated are absent.
5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance
- MRMC study: Not mentioned or indicated in the provided text. The study described is a comparison of the device outputs (CephNinja's measurements) against a manual tracing standard, not a study evaluating human reader performance with or without AI assistance.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
- The performance testing described ("evaluation of device outputs when compared to the conventional reference standard of manual tracing") implies a standalone evaluation of the algorithm's measurement accuracy, as it compares the device's output to a ground truth without human interpretation of the AI's results. However, the exact methodology is not detailed enough to confirm this definitively. The product is described as "software only."
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)
- Type of ground truth: "Conventional reference standard of manual tracing." This implies expert-derived measurements.
8. The sample size for the training set
- Training set sample size: Not specified in the provided text. The document focuses on performance testing, not details of model training.
9. How the ground truth for the training set was established
- Training set ground truth establishment: Not specified in the provided text.
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January 23, 2025
Cyncronus LLC % Dave Yungvirt CEO Third Party Review Group, LLC 25 Independence Blvd WARREN, NJ 07059
Re: K241819
Trade/Device Name: CephNinja Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: LLZ Dated: December 26, 2024 Received: December 26, 2024
Dear Dave Yungvirt:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30. Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-device-advicecomprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatory
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assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Lu Jiang
Lu Jiang, Ph.D. Assistant Director Diagnostic X-ray Systems Team DHT8B: Division of Radiologic Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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Indications for Use
510(k) Number (if known) K241819
Device Name CephNinja
Indications for Use (Describe)
CephNinia software is designed for use by dental practices for cephalometric tracing and presenting patient images which are utilized by dental professionals to assist in treatment planning and case diagnosis. Results produced by the software's diagnostic and treatment planning tools are dependent on the interpretation of trained practitioners. Mobile application is not for diagnostic use.
Type of Use (Select one or both, as applicable):
| Prescription Use (Part 21 CFR 801 Subpart D) | Over-The-Counter Use (21 CFR 801 Subpart C) |
|---|---|
| -------------------------------------------------------------------------- | ------------------------------------------------------------------------- |
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510(k) Summary: K241819
A. Applicant Information
Date Prepared: 23 January 2025
Corporate Name: Cyncronus LLC
Address: 3719 221st Pl SE, Bothell, WA 98021 USA
Device Trade Name: CephNinja
Manufacturer: Cyncronus LLC
Classification Name: Medical image management and processing system
Product Code: LLZ
Common Name: System, Image Processing, Radiological
Classification: Class II
Panel: Radiology
Regulation Number: 21 C.F.R. 892.2050
Submitter/Contact Person: Rohit Madan
Telephone Number: +1 (425) 241-5196
B. Predicate Device
CephNinja is substantially equivalent to the following FDA cleared SmartCeph predicate with regards to indications for use, intended use, performance and technological characteristics:
Proprietary Name: SmartCeph
Corporate Name: Ortho2, LLC
510(k) Number: K190162
Classification Name: Medical image management and processing system
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Product Code: LLZ
Common Name: System, Image Processing, Radiological
Classification: Class II
Panel: Radiology
Regulation Number: 21 C.F.R. 892.2050
C. Reference Device
Proprietary Name: Dolphin Blue Imaging 2.0
Corporate Name: Patterson Companies
510(k) Number: K221478
Classification Name: Medical image management and processing system
Product Code: LLZ
Common Name: System, Image Processing, Radiological
Classification: Class II
Panel: Radiology
Regulation Number: 21 C.F.R. 892.2050
D. Device Description
CephNinja is a software-only dental image device which allows the user to digitize landmarks on a patient's digital lateral cephalometric x-ray image, trace cephalometric structures, conduct cephalometric analysis, and view cephalometric results. CephNinja is imaging software designed for use in dentistry. The main CephNinja software functionality includes image visualization and cephalometric tracing and measurements. CephNinja is used by dental professionals for the visualization of patient images retrieved from a dental cephalometric imaging device scanner for assisting in case diagnosis, review, and treatment planning for orthodontic and orthognathic applications. If a suitable image file (specifically, a lateral cephalometric x-ray) has been imported into the software, the software can be used to define a number of structures and landmarks to establish specific anatomical features. The positions of specific landmarks are used to render tracing lines and calculate measurements used in orthodontic treatment planning. The software operates on standard Mac/iMac (OS Big Sur M1) hardware, and when not used for diagnostic
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purposes, iPhone/iPad (OS 9.0 or higher) hardware. When iMac hardware is used, images are displayed on the connected display/monitor. CephNinja is a standalone product.
E. Intended Use/Indications for Use
CephNinja software is designed for use by dental practices for cephalometric tracing and presenting patient images which are utilized by dental professionals to assist in treatment planning and case diagnosis. Results produced by the software's diagnostic and treatment planning tools are dependent on the interpretation of trained and licensed practitioners. Mobile application is not for diagnostic use.
F. Technical Characteristics
CephNinja is a software only device that handles digital images. CephNinja neither contacts the patient nor controls any life sustaining devices. Diagnosis is not performed by this software but rather by doctors and other qualified individuals. A physician, providing ample opportunity for competent human intervention, interprets images and information being displayed.
CephNinja allows the user to digitize landmarks on a patient's digital lateral cephalometric x-ray image, trace cephalometric structures, conduct cephalometric analysis, and view cephalometric results.
CephNinja is a macOS/iOS/iPadOS Executable written in Objective C, Swift, C++ language that is intended for use on modern Macs/iMacs, and when not used for diagnostic purposes, iPhones/iPads. CephNinja operates on most computer workstations with minimum specifications of macOS Big Sur M1 and operates on most iPhones/iPads with OS 9.0 or higher.
G. Recognized Standards
CephNinja is software that conforms to the following recognized standards:
ISO 14971 Medical Devices-Application of Risk Management to Medical Devices
IEC 62304 Medical Device Software Life Cycle Processes
H. Comparing the SmartCeph Predicate and Dolphin Blue Imaging 2.0 Reference Device to CephNinja
Table 1 below compares CephNinja to the predicate device, SmartCeph. Table 2 compares the subject CephNinja device with the reference device, Dolphin Blue Imaging 2.0 (K221478).
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Following the comparison tables is a substantial equivalence discussion that further elaborates on details in the tables and discusses how those details support a determination that the subject and predicate devices are substantially equivalent.
| Subject Device | Predicate Device | |
|---|---|---|
| 510(k) Number | K241819 | K190162 |
| Trade/DeviceName | CephNinja | SmartCeph |
| Intended Use | CephNinja software is designed for useby dental practices for cephalometrictracing and presenting patient imageswhich are utilized by dentalprofessionals to assist in treatmentplanning and case diagnosis. Resultsproduced by the software's diagnosticand treatment planning tools aredependent on the interpretation oftrained and licensed dentalpractitioners. Mobile application is notfor diagnostic use. | SmartCeph software is designed for useby dental practices for cephalometrictracing and presenting patient imageswhich are utilized by dentalprofessionals to assist in treatmentplanning and case diagnosis. Resultsproduced by the software's diagnosticand treatment planning tools aredependent on the interpretation oftrained and licensed dentalpractitioners. |
| OperatingSystem | macOS, iPadOS, iOS | Windows |
| User Interface | Mouse, Keyboard | Mouse, Keyboard |
| Indications forUse | CephNinja software is designed for useby dental practices for cephalometrictracing and presenting patient imageswhich are utilized by dentalprofessionals to assist in treatmentplanning and case diagnosis. Resultsproduced by the software's diagnosticand treatment planning tools aredependent on the interpretation oftrained and licensed dentalpractitioners.Mobile application is not for diagnosticuse. | SmartCeph software is designed for useby dental practices for cephalometrictracing and presenting patient imageswhich are utilized by dentalprofessionals to assist in treatmentplanning and case diagnosis. Resultsproduced by the software's diagnosticand treatment planning tools aredependent on the interpretation oftrained and licensed dentalpractitioners. |
| TechnologyPlatform | Mac/Apple based | PC |
| ImageRendering | 2D | 2D |
| ImageManipulation | Preview, Rotate, Enhance, Zoom,Brightness, Contrast,Sharpness | Preview, Rotate, Enhance, Zoom,Brightness, Contrast,Sharpness |
| Basic ImageMeasurement | Distance, angle | Distance, angle |
| StandaloneSoftware | Yes | Yes |
| CephalometricMeasurement | Distance, angle, ratio, difference | Distance, angle, ratio, difference |
| CephalometricTracing | Manual point picking andstructure/outline drawing. Softwareprovides predefined structures thatcan be manually moved around thecephalogram. | Manual point picking, auto and manualstructure drawing. Software providespredefined landmarks, structures andallows user to define their own. |
| CephalometricAnalysis | Provides 2D analysis on photo orlateral x-ray. User-configurable andstandard orthodontic tracing analysesincluding:- Downs- McNamara- Ricketts- Steiner- Tweed- Wits- Jarabak's/COGS- Burstone's/COGS- Alexander- Composite | Provides 2D analysis on photo or lateralx-ray. User-configurable and standardorthodontic tracing analyses including:- ABO Analysis- Alabama- Downs- McLaughlin- McNamara- Ricketts- Steiner- Tweed- Wits |
| TracingSuperimposition | Yes | Yes |
| Wiggle Gram | No | Yes |
| 2D GrowthSimulation | No | No |
| TreatmentPlanning andSimulation | Orthodontic and orthognathicapplications using predefined andcustom analysis. No simulation. | Orthodontic and orthognathicapplications using predefined andcustom analysis. No simulation. |
| Soft TissueDeformationPhoto WrappingImplant ModuleScannerConnectionDICOM Support | NoNoNoNoNo | NoNoNoNoNo |
| RegulationNumber | 21 CFR 892.2050 | 21 CFR 892.2050 |
| RegulationName: System | Medical image management andprocessing system | Medical image management andprocessing system |
| Regulatory Class | Class II | Class II |
| Product Code | LLZ | LLZ |
| Manufacturer | Cyncronus LLC | Ortho2, LLC |
Table 1. Comparison of Subject and Predicate Device
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| Subject Device: CephNinja | Reference Device: Dolphin Blue Imaging2.0 | |
|---|---|---|
| 510(k) Number | K241819 | K221478 |
| OperatingSystem | macOS, iPadOS, iOS | Mac OS or any other computingplatform operating system |
| User Interface | Mouse, Keyboard | Mouse, Keyboard |
| TechnologyPlatform | Mac/Apple based | Mac/Apple basedor any other computing platform |
| ImageRendering | 2D | 2D |
| ImageManipulation | Preview, Rotate, Enhance, Zoom,Brightness, Contrast,Sharpness | Preview, Rotate, Enhance, Zoom,Brightness, Contrast,Sharpness |
| Basic ImageMeasurement | Distance, angle | Distance, angle |
| StandaloneSoftware | Yes | Yes |
| CephalometricMeasurement | Distance, angle, ratio, difference | Distance, angle, ratio, difference |
| CephalometricTracing | Manual point picking andstructure/outline drawing. Softwareprovides predefined structures that canbe manually moved around thecephalogram. | Manual point picking, auto and manualstructure drawing. Inter-relationalpositions of these landmarks are used torender tracing lines. |
| CephalometricAnalysis | Provides 2D analysis on photo or lateralx-ray. User-configurable and standardorthodontic tracing analyses including:- Downs- McNamara- Ricketts- Steiner- Tweed- Wits- Jarabak- Burstone/COGS- Alexander- Composite | Provides 2D analysis on photo or lateralx-ray. User-configurable and standardorthodontic tracing analyses including:- Ricketts- McNamara- Steiner (Tweed)- Jarabak- Roth- Sassouni- McLaughlin- Downs-Northwestern- Bjork- Alexander (Vari-Simplex)- Holdaway- Alabama- Burstone- Gerety |
| Tracing Super- imposition | Yes | Yes |
| Wiggle Gram | No | Yes |
| 2D GrowthSimulation | No | No |
| TreatmentPlanning andSimulation | Orthodontic and orthognathicapplications using predefined andcustom analysis. No simulation. | Orthodontic and orthognathicapplications using predefined andcustom analysis. No simulation. |
| Soft TissueDeformation | No | No |
| PhotoWrapping | No | No |
| ImplantModule | No | No |
| ScannerConnection | No | Yes |
| DICOMSupport | No | Yes |
| RegulationNumber | 21 CFR 892.2050 | 21 CFR 892.2050 |
| RegulationName: System | Medical image management andprocessing system | Medical image management andprocessing system |
| RegulatoryClass | Class II | Class II |
| Product Code | LLZ | LLZ |
| Manufacturer | Cyncronus LLC | PATTERSON DENTAL SUPPLY, INC. |
Table 2. Comparison of Subject and Reference Device
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l. Substantial Equivalence Discussion
There are some differences between CephNinja and the SmartCeph predicate such that CephNinja does not operate on PC platforms with Windows operating systems but rather on Mac/Apple based platforms and operating systems.
CephNinja can be operated on desktop and mobile platforms with a mouse/keyboard, trackpad, or touchscreen interface, but mobile platforms are not indicated for diagnostic use. The SmartCeph predicate can be operated only on desktop platforms with a mouse/keyboard interface.
CephNinja does not feature some of the cephalometric analyses featured in the SmartCeph predicate such as the ABO, Alabama, and McLaughlin analyses.
Both CephNinja and the SmartCeph predicate perform cephalometric analyses on 2D images only.
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Like the SmartCeph predicate, CephNinja provides tracing superimposition. However, CephNinja does not provide wiggle gram features like SmartCeph.
None of the above-mentioned differences change the safety, effectiveness, or indications for use of CephNinja as compared to the SmartCeph predicate.
Table 1 compares CephNinja to the SmartCeph predicate with respect to intended use, indications for use, environment of use, limitations of use, and technological characteristics. This comparison table provides additional information regarding the basis for the determination of substantial equivalence. As shown in Table 2, the characteristics of CephNinja are also highly similar to the reference device characteristics.
Although there are some differences between CephNinja and the SmartCeph predicate, the subject CephNinja device and the SmartCeph predicate are substantially equivalent as demonstrated by comparison of the intended use, indications for use, device description, technical characteristics, and performance testing of the devices.
J. Summary of Performance Testing
All the different components of CephNinja have been stress tested to ensure that it provides all the capabilities necessary to operate in a manner substantially equivalent to the SmartCeph predicate.
Using a risk-based approach and general use of ISO 14971-19 Medical Devices-Application of Risk Management to Medical Devices, the CephNinja safety hazard analysis has identified and sufficiently mitigated risks to users (i.e., overall risks reduced to low). CephNinja has successfully passed software unit, integration, and system level verification testing according to test-specific a priori pass/fail criteria in accordance with FDA guidance document, "General Principles of Software Validation" and general use of IEC 62304-06 Medical Device Software Life Cycle Processes standard.
CephNinja cybersecurity hazards have been evaluated and controlled to an acceptable level (i.e., low risk) in accordance with FDA guidance document, "Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions". Cybersecurity risks were identified and suitably addressed though penetration and vulnerability testing activities, and all implemented security controls have passed testing with pre-determined pass/fail criteria.
Non-clinical bench testing of CephNinja included evaluation of device outputs when compared to the conventional reference standard of manual tracing (i.e., all differences in individual angular
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and linear measurement values between the measurement methods must be within the clinically meaningful threshold of <2 degrees and <2 mm, respectively).
Overall, the technical performance evaluation of CephNinja demonstrated that CephNinja is an SaMD with good validity, generating relevant outputs for assisting in orthodontic treatment planning and case diagnosis in the clinical practice setting. The accurate, reliable, and precise output data produced by CephNinja has been shown to achieve its intended purpose of supporting clinical decision-making for orthodontic patients.
K. Conclusion
Based on the comparison of intended use, indications for use, and technological characteristics, CephNinja is substantially equivalent to the SmartCeph predicate. Cyncronus LLC has conducted extensive performance, verification, and validation testing that CephNinja provides reliable post-processing information to ensure that it operates in a manner substantially equivalent to the SmartCeph predicate.
N/A