13,452 cervical and 6,492 lumbar retrospective studies from over 200 U.S. institutions.
>1 (US board certified Radiologists)
Multi-reader multi-center (MRMC) retrospective study of 600 de-identified stress x-rays (300 cervical and 300 lumbar).
3 (expert radiologists)
Spinal vertebral displacement measurements
—
Combined ICC scores of model with radiologists equivalent to ICC scores among radiologists alone.
Model agreement equivalent to radiologist-to-radiologist agreement.
13,452 cervical and 6,492 lumbar retrospective studies from over 200 U.S. institutions.
>1 (US board certified Radiologists)
Multi-reader multi-center (MRMC) retrospective study of 600 de-identified stress x-rays (300 cervical and 300 lumbar).
3 (expert radiologists)
Indications for Use
RadioLens v1.0 software is a medical diagnostic application that displays, processes, stores, and transfers DICOM data, with the exception of mammography. It provides the capability to store images and patient information, perform filtering, digital manipulation, and quantitative measurements. The client software is designed to run on standard personal and business computers. RadioLens v1.0 includes an optional SpindleX module which is used to analyze potential vertebral body displacements in spine, either absolute or relative, using cervical/lumbar digital X-Rays of spine. A qualified medical practitioner may use the module to semi-automatically identify relevant spine anatomy and calculate vertebral displacement measurements. Measurements are then used to determine severity and location of any spinal ligament injury leading to subluxation using criteria published in AMA Guides to The Evaluation of Permanent Impairment, 5th & 6th edition. SpindleX is meant for assistance with analysis of spinal ligament injury in the adult population (>18 years of age) as captured in stress x-rays. SpindleX is not meant for patients that have undergone surgery or other traumatic injury that result in distortion of spinal anatomy.
Device Story
RadioLens v1.0 is a browser-based medical image management system; facilitates DICOM data transfer from scanners to cloud server; provides worklist, DICOM viewer, and report editor for radiologists. Optional SpindleX AI module processes digital stress X-rays of cervical/lumbar spine; automatically identifies spine anatomy; calculates vertebral displacement measurements (e.g., Ruth Jackson's angle, Ferguson's angle, canal diameter, translational/angular motion). Radiologists review AI-generated annotations and measurements; finalize reports for referring providers. Used in clinical settings by qualified practitioners to assist in diagnosing spinal ligament injury/subluxation per AMA Guides. Benefits include objective, standardized quantification of spinal displacement, aiding clinical decision-making.
Clinical Evidence
Multi-reader multi-center (MRMC) retrospective study; 600 de-identified stress X-rays (300 cervical, 300 lumbar) from >200 institutions. Three expert radiologists compared performance with/without SpindleX. Primary endpoints: sensitivity for body part/position identification and ICC agreement for measurements. Body part identification sensitivity: 100%. Position identification sensitivity: 90.5%–96.8%. Model agreement (ICC) was equivalent to inter-radiologist agreement (ranging from Moderate to Excellent).
Technological Characteristics
Browser-based software; DICOM image input; cloud-based processing. Features automated anatomical landmark detection and quantitative measurement algorithms. Compliant with ANSI AAMI IEC 62304:2006/A1:2016. Software-only device; no physical materials.
Indications for Use
Indicated for adult patients (>18 years) requiring analysis of spinal ligament injury via stress X-rays. Contraindicated for patients with prior surgery or traumatic injury resulting in spinal anatomy distortion.
Regulatory Classification
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.
Special Controls
*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 contains 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 consists of the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue text.
Synapsica % Rory Carrillo Quality & Regulatory Consultant Cosm 45 Bartlett Street. Unit 706 SAN FRANCISCO CA 94110
Re: K222174
March 28, 2023
Trade/Device Name: RadioLens v1.0 Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: QIH Dated: February 17, 2023 Received: February 21, 2023
Dear Rory Carrillo:
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 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
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801 and Part 809); 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, Ph.D. 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
510(k) Number (if known) K222174
Device Name RadioLens v1.0
### Indications for Use (Describe)
RadioLens v1.0 software is a medical diagnostic application that displays, processes, stores, and transfers DICOM data, with the exception of mammography. It provides the capability to store images and patient information, perform filtering, digital manipulation, and quantitative measurements. The client software is designed to run on standard personal and business computers.
RadioLens v1.0 includes an optional SpindleX module which is used to analyze potential vertebral body displacements in spine, either absolute or relative, using cervical X-Rays of spine. A qualified medical practitioner may use the module to semi-automatically identify relevant spine anatomy and calculate vertebral displacement measurements. Measurements are then used to determine severity and location of any spinal ligament injury leading to subluxation using criteria published in AMA Guides to The Evaluation of Permanent Impairment, 5th & 6th edition.
SpindleX is meant for assistance with analysis of spinal ligament injury in the adult population (>18 years of age) as captured in stress x-rays. SpindleX is not meant for patients that have undergone surgery or other traumatic injury that result in distortion of spinal anatomy.
| Type of Use ( <i>Select one or both, as applicable</i> ) |
|-------------------------------------------------------------------------------------------------|
| <span> ☒ Prescription Use (Part 21 CFR 801 Subpart D) </span> |
| <span> □ Over-The-Counter Use (21 CFR 801 Subpart C) </span> |
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Image /page/3/Picture/1 description: The image shows the logo for Synapsica. The logo consists of two stylized shapes resembling interconnected nodes, one in blue and the other in teal. To the right of the shapes is the company name "Synapsica" in a bold, sans-serif font, with the tagline "BETTER RADIOLOGY" in a smaller font size underneath.
# Section 5. 510(k) Summary
#### 1. General Information
| 510(k) Sponsor | Synapsica Healthcare, Inc. |
|-----------------------|---------------------------------------------------|
| Address | 2591 Dallas Parkway Suite 300<br>Frisco, TX 75034 |
| Correspondence Person | Rory A. Carrillo<br>Regulatory Consultant Cosm |
| Contact Information | Email: rory@cosmhq.com<br>Phone: (562) 533-7010 |
| Date Prepared | July 22, 2022 |
#### 2. Subject Device
| Proprietary Name | RadioLens v1.0 |
|---------------------|--------------------------------------------------|
| Common Name | RadioLens v1.0 |
| Classification Name | Automated Radiological Image Processing Software |
| Regulation Number | 21 CFR 892.2050 |
| Regulation Name | Medical Image Management and Processing System |
| Product Code | QIH |
| Regulatory Class | II |
#### 3. Predicate Device
| Proprietary Name | Spine CAMP™ |
|------------------------|--------------------------------------------------|
| Premarket Notification | K221632 |
| Classification Name | Automated Radiological Image Processing Software |
| Regulation Number | 21 CFR 892.2050 |
| Regulation Name | Medical Image Management and Processing System |
| Product Code | QIH |
| Regulatory Class | II |
#### Device Description 4.
RadioLens v1.0 is a medical image management and processing system for general human radiology reporting and provides a browser based interface for transfer of DICOM files from the scanning equipment to Synapsica's cloud server, for distribution to authorized users, including Radiologists. It also provides a worklist that keeps track of patient cases that the user needs to work on; a DICOM Viewer that allows users to view and analyze images in patient scan; and a report editor where the Radiologist can prepare the text report that goes back to the patient and referring provider.
RadioLens v1.0 includes an optional SpindleX module. The SpindleX is an artificial intelligence (AI) module that works on digital stress x-rays of the spine and assists with clinical interpretation
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Image /page/4/Picture/0 description: The image shows the logo for Synapsica. The logo consists of a stylized "S" made of interconnected nodes in two shades of blue, with the word "Synapsica" in a bold, sans-serif font to the right. Below the company name, the tagline "BETTER RADIOLOGY" is written in a smaller, lighter font.
by a qualified Radiologist by automatically providing multiple relevant measurements in the spine.
SpindleX is meant for assistance with analysis of spinal ligament injury in the adult population (>18 years of age) as captured in stress x-rays. SpindleX is not meant for patients that have undergone surgery or other traumatic injury that result in distortion of spinal anatomy.
The following visualization, quantification, and reporting functionalities are provided by the software:
### Visualization
- o 2D image review
- Image navigation tools ●
- Patient worklist ●
### Quantitative Analysis
The subject device performs the following anatomical measurements:
- Ruth Jackson's angle,
- Ferguson's angle
- Canal diameter ●
- Displacement of L3 vertebrae ●
- Vertebral offset 0
- Motion Segment Integrity, Translational & Angular .
### Reporting
The subject device provides a detailed, objective report for stress of spine following standards set by American Medical Association (AMA). The report is pre-populated with annotated snapshots of digital x-ray scan of the spine generated by SpindleX. Relevant measurements, per the Quantitative Analysis discussed above, are provided along the annotated images. Once the report has been edited and finalized by the Radiologist, it can be downloaded in microsoft word or pdf format.
### Algorithm Training
The RadioLens SpindleX module was trained on 13,452 cervical and 6,492 lumbar retrospective studies that were de-identified and did not contain any PHI. The data was sourced from over 200 institutions across the U.S., making the dataset very diverse and representative of the population demographic. These studies consisted of images of stress x-ravs of cervical and lumbar spine of adults (>18 years) taken in the neutral, flexion or extension where the patient's body is either tilting down or up respectively. Training dataset did not include scans of patients that have undergone surgeries or any other traumatic injury that results in distortion of anatomy. These images had morphometry points pre-marked on cervical and lumbar images by US board certified Radiologists who used these to prepare clinical reports that were delivered to patients. These pre-marked points were treated as ground truth for training of models
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Image /page/5/Picture/0 description: The image contains the logo for Synapsica, a company focused on better radiology. The logo consists of two stylized, interconnected shapes resembling molecules or connected nodes, one in blue and the other in teal. To the right of the icon is the company name "Synapsica" in a bold, sans-serif font, with the tagline "BETTER RADIOLOGY" in a smaller font size underneath.
### 5. Indications for Use
The RadioLens v1.0 software is a medical diagnostic application that displays, processes, stores, and transfers DICOM data, with the exception of mammography. It provides the capability to store images and patient information, perform filtering, digital manipulation, and quantitative measurements. The client software is designed to run on standard personal and business computers.
RadioLens v1.0 includes an optional SpindleX module which is used to analyze potential vertebral body displacements in spine, either absolute or relative, using cervical/lumbar digital X-Rays of spine. A qualified medical practitioner may use the module to semi-automatically identify relevant spine anatomy and calculate vertebral displacement measurements. Measurements are then used to determine severity and location of any spinal ligament injurv leading to subluxation using criteria published in AMA Guides to The Evaluation of Permanent Impairment, 5th & 6th edition.
SpindleX is meant for assistance with analysis of spinal ligament injury in the adult population (>18 years of age) as captured in stress x-rays. SpindleX is not meant for patients that have undergone surgery or other traumatic injury that result in distortion of spinal anatomy.
| Feature/<br>Function | Subject Device:<br>RadioLens v1.0 | Predicate Device:<br>Spine CAMP™<br>(K221632) |
|----------------------------|-------------------------------------------------------------------------------------------------------------------|-----------------------------------------------|
| Intended Users | Qualified medical practitioners | Radiologists |
| Intended<br>Environment | Clinical settings | Clinical settings |
| Device Class | II | II |
| Image Input | DICOM | DICOM |
| Image Display | Static | Static |
| Anatomical<br>Area | Spine | Spine |
| Body Part<br>Detection | Yes, only through the optional<br>SpindleX module (Cervical, Lumbar<br>and others for digital x-rays of<br>spine) | No |
| Body Position<br>Detection | Yes, only through the optional<br>SpindleX module<br>(Flexion, extension or neutral) | N/A |
#### Comparison of Technological Characteristics with Predicate Device 6.
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Image /page/6/Picture/0 description: The image shows the logo for Synapsica. The logo consists of two interconnected shapes in blue and teal, resembling a stylized network or connection. To the right of the shapes, the word "Synapsica" is written in a bold, sans-serif font. Below "Synapsica", the words "BETTER RADIOLOGY" are written in a smaller, sans-serif font.
| Feature/<br>Function | Subject Device:<br>RadioLens v1.0 | Predicate Device:<br>Spine CAMPTM<br>(K221632) |
|--------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Quantitative<br>Analysis | Only through the optional SpindleX<br>module the following measurements<br>are provided:<br>- Ruth Jackson's angle<br>- Ferguson's angle<br>- Canal diameter<br>- Displacement of L3 vertebrae<br>- Vertebral offset<br>- Motion Segment Integrity,<br>Translational & Angular | - Linear measurements<br>- Angular measurements<br>- Vertebral body detection<br>- Vertebral body landmark<br>specification<br>- Vertebral body registration |
| 2D Motion<br>Analysis | N/A | Yes |
| Image<br>Registration | N/A | Yes |
| Report<br>Creation | Yes | Yes |
The subject device and predicate device have substantially equivalent indications for use and technological characteristics. The minor differences do not raise questions of safety or effectiveness as the underlying technology is similar and risks associated with these differences are mitigated with similar general and special controls.
### 7. Performance Data
Safety and performance of the RadioLens v1.0 has been evaluated and verified in accordance with software specifications and applicable performance standards through software verification and validation testing. Additionally, the software validation activities were performed in accordance with ANSI AAMI IEC 62304:2006/A1:2016 - Medical device software – Software life cycle processes, in addition to the FDA Guidance documents, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" and "Content of Premarket Submission for Management of Cybersecurity in Medical Devices."
A multi-reader multi-center (MRMC) retrospective study was carried out in the United States involving a sample size of 600 de-identified stress x-rays ( 300 cervical and 300 lumbar) collected from over 200 institutions where each case has flexion, extension, and neutral positions of the spine. The data collected for clinical assessment was independent from the data used for training. Three (3) expert radiologists analyzed each case with and without the SpindleX module and sensitivity, specificity, and/or agreement was used to compare performance. The following outline the results of the assessment:
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Image /page/7/Picture/0 description: The image contains the logo for Synapsica, a company focused on better radiology. The logo features two interconnected, stylized shapes resembling molecules or connected nodes, one in blue and the other in teal. To the right of the graphic is the company name, "Synapsica," in a bold, sans-serif font, with the tagline "BETTER RADIOLOGY" positioned beneath it in a smaller font size.
- 0 For identification of body part among cervical and lumbar scans, the model had 100% sensitivity for the scans used in the validation study. This was against a target sensitivity of 95%.
- For identification of patient position among flexion, extension and neutral the model had ● 96.8%, 92.0%, and 90.5% sensitivities respectively. This was against a target sensitivity of 90% in each category.
- . For prediction of measurements by the model, the pass criterion was for the combined ICC scores of the model with 3 expert radiologists needed to be as good as ICC scores among those radiologists alone. In the validation exercise, we observed that model agreement was equivalent to agreement that radiologists had among themselves.
For this purpose, ICC scores were categorized as follows:
- < 0.5 Poor l.
- 2. 0.5 - 0.75 - Moderate
- 3. 0.75 - 0.9 - Good
- > 0.9 Excellent 4.
The following tables capture the aided versus unaided agreement:
| CERVICAL | | | |
|------------------------------------------------------|------------------|------------------|--|
| Measurement for pathology | Radiologists ICC | Rads & Model ICC | |
| Stress Lines (degrees) | 0.957 (E) | 0.953 (E) | |
| Canal Diameter (mm) | 0.950 (E) | 0.955 (E) | |
| Vertebral Offset Neutral (mm) | 0.698 (M) | 0.707 (M) | |
| Angular MSI (degrees) | 0.769 (G) | 0.781 (G) | |
| Translational Motion 5th Edition (mm) | 0.712 (M) | 0.717 (M) | |
| Translational Motion 6th Edition - Flexion<br>(mm) | 0.793 (G) | 0.802 (G) | |
| Translational Motion 6th Edition - Extension<br>(mm) | 0.707 (M) | 0.716 (M) | |
| LUMBAR | | | |
|---------------------------|------------------|------------------|--|
| Measurement for pathology | Radiologists ICC | Rads & Model ICC | |
| Stress Lines (degrees) | 0.979 (E) | 0.968 (E) | |
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Image /page/8/Picture/0 description: The image contains the logo for Synapsica. The logo consists of two stylized shapes resembling interconnected nodes, one in blue and the other in teal. To the right of the shapes is the company name, "Synapsica," in a bold, sans-serif font. Below the name is the tagline "BETTER RADIOLOGY" in a smaller, lighter font.
| LUMBAR | | |
|------------------------------------------------------|------------------|------------------|
| Measurement for pathology | Radiologists ICC | Rads & Model ICC |
| Canal Diameter (mm) | 0.826 (G) | 0.784 (G) |
| Ferguson's Angle (degrees) | 0.968 (E) | 0.939 (E) |
| Integrity of 3rd Lumbar Vertebra (mm) | 0.997 (E) | 0.996 (E) |
| Vertebral Offset Neutral (mm) | 0.820 (G) | 0.777 (G) |
| Angular MSI (degrees) | 0.792 (G) | 0.771 (G) |
| Translational Motion 5th Edition (mm) | 0.710 (M) | 0.656 (M) |
| Translational Motion 6th Edition - Flexion<br>(mm) | 0.809 (G) | 0.774 (G) |
| Translational Motion 6th Edition - Extension<br>(mm) | 0.823 (G) | 0.769 (G) |
Rater Agreement Legend: P - Poor, M - Moderate, G - Good, E - Excellent
#### 8. Conclusion
Based on the information submitted in this premarket notification, and based on the indications for use, technological characteristics and performance testing, the RadioLens v1.0 raises no new questions of safety and effectiveness and is substantially equivalent to the predicate device in terms of safety and effectiveness.
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A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.