(30 days)
QMA
Yes
The summary explicitly mentions an "AI Engine" and the retraining of "AI models."
No.
The device is described as software that analyzes X-ray images to produce reports and metrics to support clinical decision-making, not to directly provide therapy.
Yes
Explanation: The "Intended Use / Indications for Use" section explicitly states that the metrics produced by Spine CAMP can be used to "characterize and assess spinal health" and "to support qualified and licensed professional healthcare practitioners in clinical decision making." This indicates that the device is intended to assist in the diagnosis or assessment of medical conditions related to the spine.
Yes
The device description explicitly states that Spine CAMP™ is a "fully-automated image processing software device." There is no mention of any accompanying hardware components being part of the device itself.
Based on the provided information, this device is not an IVD (In Vitro Diagnostic).
Here's why:
- IVD Definition: In Vitro Diagnostics are medical devices used to perform tests on samples taken from the human body, such as blood, urine, or tissue, to provide information about a person's health.
- Spine CAMP's Function: Spine CAMP analyzes X-ray images of the spine. It does not analyze biological samples taken from the body.
- Intended Use: The intended use is to analyze medical images to produce reports and metrics to support clinical decision-making regarding spinal health. This is a function of medical imaging analysis software, not an IVD.
Therefore, Spine CAMP falls under the category of medical imaging analysis software, not an In Vitro Diagnostic device.
No
The clearance letter does not explicitly state that the FDA has reviewed and approved or cleared a PCCP for this specific device.
Intended Use / Indications for Use
Spine CAMP™ is a fully-automated software that analyzes X-ray images of the spine to produce reports that contain static and/or motion metrics. Spine CAMP™ can be used to obtain metrics from sagittal plane radiographs of the lumbar and/or cervical spine and it can be used to visualize intervertebral motion via an image registration method referred to as "stabilization." The radiographic metrics can be used to characterize and assess spinal health in accordance with established quidance. For example, common clinical uses include assessing spinal stability, alignment, degeneration, fusion, motion preservation, and implant performance. The metrics produced by Spine CAMP are intended to be used to support qualified and licensed professional healthcare practitioners in clinical decision-making for skeletally mature patients of age 18 and above.
Product codes
OIH
Device Description
Spine CAMP™ is a fully-automated image processing software device. It is designed to be used with X-ray images and is intended to aid medical professionals in the measurement and assessment of spinal parameters. Spine CAMP™ is capable of calculating distances, angles, linear displacements, angular displacements, and mathematical combinations of these metrics to characterize the morphology, alignment, and motion of the spine. These analysis results are presented in the form of reports, annotated images, and visualizations of intervertebral motion to support their interpretation.
Mentions image processing
Yes
Mentions AI, DNN, or ML
- Spine CAMP's primary component, the Al Engine, was updated by retraining its Al models with . more imaging for improved generalization and performance. Improvements were also made to the Al Engine's logic to address potential failure modes.
- The same methodology was utilized for the performance qualification (PQ) tests for both Spine CAMP 1.1 and its primary component, the AI Engine v3.2, as had been previously utilized for the predicate device, Spine CAMP v1.0 and its primary component, the Al Enqine v3.1.
- The minor differences between the subject and predicate devices (i.e., retrained Al models and enhanced reporting capabilities) do not raise new or different questions regarding safety and effectiveness when used as labeled.
Input Imaging Modality
X-ray
Anatomical Site
Spine
- sagittal plane radiographs of the lumbar and/or cervical spine
- lateral lumbar X-rays
- lateral cervical spine radiographs
Indicated Patient Age Range
skeletally mature patients of age 18 and above
Intended User / Care Setting
qualified and licensed professional healthcare practitioners / Clinical decision making
Trained professionals
Description of the training set, sample size, data source, and annotation protocol
Not Found
Description of the test set, sample size, data source, and annotation protocol
- Software verification and validation testing was completed to demonstrate functionality of the device across multiple datasets that had not been used to train any of the Al models.
- Additional bench testing was performed by evaluating Spine CAMP™ v1.1 performance on a large dataset that was previously analyzed by Spine CAMP™ v1.0. Additionally, this dataset was analyzed by five experienced operators using the reference device, QMA, for spinopelvic measurements that Spine CAMP™ v1.0 was not designed to produce. This dataset included 215 lateral cervical spine radiographs and 232 lateral lumbar spine radiographs.
Summary of Performance Studies (study type, sample size, AUC, MRMC, standalone performance, key results)
- Study Type: Bench tests (non-clinical software verification and validation testing, statistical correlation and equivalence tests).
- Sample Size: 215 lateral cervical spine radiographs and 232 lateral lumbar spine radiographs for the comparative analysis.
- Key Results: The software functioned as intended and all results observed were as expected. Statistical correlations and equivalence tests were performed by directly comparing vertebral landmark coordinates, image calibration, and intervertebral measurements between Spine CAMP™ v1.1 and the predicate device as well as spinopelvic measurements between Spine CAMP™ v1.1 and the reference device. This analysis demonstrated correlation and statistical equivalence for all variables evaluated. The subject device and the predicate device produced outputs that were statistically equivalent.
Key Metrics (Sensitivity, Specificity, PPV, NPV, etc.)
Not Found
Predicate Device(s)
Spine CAMP™ v1.0 (K221632)
Reference Device(s)
Not Found
Predetermined Change Control Plan (PCCP) - All Relevant Information for the subject device only (e.g. presence / absence, what scope was granted / cleared under the PCCP, any restrictions, etc).
Not Found
§ 892.2050 Medical image management and processing system.
(a)
Identification. A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.(b)
Classification. Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Medical Metrics, Inc. Kirk Johnson Director of Regulatory and Quality Affairs 2121 Sage Road Suite 300 HOUSTON, TEXAS 77056
Re: K231668
July 7, 2023
Trade/Device Name: Spine CAMPTM (1.1) Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: OIH Dated: June 7, 2023 Received: June 7, 2023
Dear Kirk Johnson:
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 (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 located 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.
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
1
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 803) for devices or postmarketing safety reporting (21 CFR 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 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 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-regulatoryassistance/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,
Jessica Lamb
Jessica Lamb. Assistant Director Imaging Software Team DHT8B: Division of Radiological 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
Submission Number (if known)
Device Name
Spine CAMP™ (1.1)
Indications for Use (Describe)
Spine CAMP™ is a fully-automated software that analyzes X-ray images of the spine to produce reports that contain static and/or motion metrics. Spine CAMP™ can be used to obtain metrics from sagittal plane radiographs of the lumbar and/or cervical spine and it can be used to visualize intervertebral motion via an image registration method referred to as "stabilization." The radiographic metrics can be used to characterize and assess spinal health in accordance with established quidance. For example, common clinical uses include assessing spinal stability, alignment, degeneration, fusion, motion preservation, and implant performance. The metrics produced by Spine CAMP are intended to be used to support qualified and licensed professional healthcare practitioners in clinical decision making for skeletally mature patients of age 18 and above.
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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Medical Metrics, Inc. 2121 Sage Road, Suite 300 Houston, Texas 77056
P 713-850-7500 F 713-850-7527 www.medicalmetrics.com
510(K) SUMMARY
510(K) #K231668
Submitter Information [21 CFR 807.929(a)(1)] | |
---|---|
Name | Medical Metrics, Inc. |
Address | 2121 Sage Road, Suite 300 |
Houston, Texas 77056 | |
Phone number | +1 713 850-7500 |
Fax number | +1 713 850-7527 |
Email address | kjohnson@medicalmetrics.com |
Establishment Registration | |
Number | Pending 510(k) clearance and marketing of device |
Name of contact person | Kirk Johnson |
Date prepared | 07/05/2023 |
Name of the device [21 CFR 807.92(a)(2)] | |
Trade name | Spine CAMP™ (1.1) |
Regulation name | Medical Image Management and Processing System |
Review panel | Radiology |
Regulation Number | 892.2050 |
Product Code | QIH |
Legally marketed device to which | |
equivalence is claimed | |
[21 CFR 807.92(a)(3)] | Spine CAMP™ v1.0 (K221632) |
Device description | |
[21 CFR 807.92(a)(4)] | Spine CAMP™ is a fully-automated image processing software |
device. It is designed to be used with X-ray images and is | |
intended to aid medical professionals in the measurement and | |
assessment of spinal parameters. Spine CAMP™ is capable of | |
calculating distances, angles, linear displacements, angular | |
displacements, and mathematical combinations of these metrics | |
to characterize the morphology, alignment, and motion of the | |
spine. These analysis results are presented in the form of | |
reports, annotated images, and visualizations of intervertebral | |
motion to support their interpretation. | |
Indications for use | |
[21 CFR 807.92(a)(5)] | Spine CAMP™ is a fully-automated software that analyzes X- |
ray images of the spine to produce reports that contain static | |
and/or motion metrics. Spine CAMP™ can be used to obtain | |
metrics from sagittal plane radiographs of the lumbar and/or | |
cervical spine and it can be used to visualize intervertebral | |
motion via an image registration method referred to as | |
"stabilization." The radiographic metrics can be used to | |
characterize and assess spinal health in accordance with | |
established guidance. For example, common clinical uses | |
include assessing spinal stability, alignment, degeneration, | |
fusion, motion preservation, and implant performance. The | |
metrics produced by Spine CAMP™ are intended to be used to | |
support qualified and licensed professional healthcare | |
practitioners in clinical decision-making for skeletally mature | |
patients of age 18 and above. |
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Image /page/4/Picture/0 description: The image shows the logo for Medical Metrics INC. The logo features a stylized graphic of three curved shapes in blue and white. To the right of the graphic is the company name, "medicalmetricsINC.", in a sans-serif font, with "medicalmetrics" in blue and "INC." in black. Below the company name is the tagline "Insight from Imaging" in a smaller, blue sans-serif font.
| Summary of the technological characteristics of the device compared to the predicate device
[21 CFR 807.92(a)(6)] | ||
---|---|---|
Feature | Spine CAMP™ v1.1 | |
(Subject Device) | Spine CAMP™ v1.0 | |
(Predicate Device K221632) | ||
Classification Name | Automated Radiological Image | |
Processing Software | Automated Radiological Image | |
Processing Software | ||
Product Code | QIH | QIH |
Runs on Server | Yes | Yes |
Image Input | DICOM | DICOM |
Anatomical Area | Spine | Spine |
Image Processing | Vertebral body detection; | |
Vertebral body landmark | ||
specification; Vertebral body | ||
registration | Vertebral body detection; Vertebral | |
body landmark specification; | ||
Vertebral body registration | ||
Linear Measurements | Yes | Yes |
Angular Measurements | Yes | Yes |
2D Motion Analysis | Yes | Yes |
Image Registration | Yes | Yes |
Display of Image Alignment / | ||
Stabilization | Yes | Yes |
Clinical Reporting | Yes | Yes |
Human Intervention for | ||
Interpretation | Required | Required |
Intended User | Trained professionals | Trained professionals |
Comparison Summary |
Spine CAMP™ v1.1 is designed to utilize the same analysis methodology as the predicate device, Spine CAMP™ v1.0 (K221632). The types of inputs and outputs are identical between the two devices. The devices are nearly identical in all respects. The primary differences are:
- Spine CAMP's primary component, the Al Engine, was updated by retraining its Al models with . more imaging for improved generalization and performance. Improvements were also made to the Al Engine's logic to address potential failure modes.
- . Spine CAMP™ v1.1 is able to identify the femoral heads in lateral lumbar X-rays in order to produce spinopelvic measurements.
- . Configuration capabilities were expanded to derive outputs from the existing calculated results and to conditionally format report outputs according to the clinical user's preferences.
Performance Data [21 CFR 807.92(b)]
Summary of bench tests (non-clinical) conducted for determination of substantial equivalence [21 CFR 807.92(b)(1)]
Software verification and validation testing was completed to demonstrate functionality of the device across multiple datasets that had not been used to train any of the Al models. The same methodology was utilized for the performance qualification (PQ) tests for both Spine CAMP 1.1 and its primary component, the AI Engine v3.2, as had been previously utilized for the predicate device, Spine CAMP v1.0 and its primary component, the Al Enqine v3.1. The software functioned as intended and all results observed were as expected.
Additional bench testing was performed by evaluating Spine CAMP™ v1.1 performance on a large dataset that was previously analyzed by Spine CAMP™ v1.0. Additionally, this dataset was analyzed by five experienced operators using the reference device, QMA, for spinopelvic measurements that Spine CAMP™ v1.0 was not designed to produce. This dataset included 215 lateral cervical spine
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Image /page/5/Picture/0 description: The image shows the logo for Medical Metrics INC. The logo features a stylized graphic of three overlapping shapes in shades of blue and white on the left. To the right of the graphic is the company name, "medicalmetricsINC.", with the "medicalmetrics" part in a darker blue and "INC." in a lighter blue. Below the company name is the tagline "Insight from Imaging" in a smaller, lighter blue font.
radiographs and 232 lateral lumbar spine radiographs. Statistical correlations and equivalence tests were performed by directly comparing vertebral landmark coordinates, image calibration, and intervertebral measurements between Spine CAMP™ v1.1 and the predicate device as well as spinopelvic measurements between Spine CAMP™ v1.1 and the reference device. This analysis demonstrated correlation and statistical equivalence for all variables evaluated.
Summary of clinical tests conducted for determination of substantial equivalence or of clinical information [21 CFR 807.92(b)(2)]
This section is not applicable to this submission. Clinical Data are not included.
Conclusions drawn [21 CFR 807.92(b)(3)]
Spine CAMP™ is as safe and effective as the predicate device. The subject device has the same intended use and indications for use as its predicate device. Their technological characteristics and principles of operations are nearly identical. The minor differences between the subject and predicate devices (i.e., retrained Al models and enhanced reporting capabilities) do not raise new or different questions regarding safety and effectiveness when used as labeled. The same performance testing methodology that was used utilized to test the subject device as had been used to test the predicate device. Specifically, for a large dataset of images, the subject device and the predicate device produced outputs that were statistically equivalent.