K173924 · Carestream Health, Inc. · IZL · Feb 5, 2018 · Radiology
Device Facts
Record ID
K173924
Device Name
DRX-Revolution Nano Mobile X-ray System
Applicant
Carestream Health, Inc.
Product Code
IZL · Radiology
Decision Date
Feb 5, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1720
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The device is designed to perform radiographic x-ray examinations on pediatric and adult patients, in all patient treatment areas. The Nano system used to generate and control x-rays for diagnostic procedures.
Device Story
Mobile digital radiography (DR) system; generates/controls x-rays for diagnostic imaging outside stationary rooms. Input: x-ray exposure parameters; Output: digital radiographic images. Used in clinical settings (e.g., patient treatment areas) by healthcare professionals. Modifications to x-ray tube (tungsten thickness, focal spot size) and generator power (reduced to 5.3 kW) improve reliability and lifespan. System includes x-ray generator, image receptor, display, and software. Images reviewed on PACS workstation; radiologists use window/level/magnification tools for diagnostic assessment. Facilitates rapid diagnostic decision-making at point-of-care; benefits patients by providing mobile imaging capability.
Clinical Evidence
Phantom-based imaging study using anthropomorphic phantoms (adult chest/pelvis, pediatric upper/lower limb, neonatal chest). Three board-certified radiologists evaluated 60 images using the RadLex rating scale (1.0-4.0). Mean RadLex rating was 3.595 (SD 0.220). 100% of images rated as 'Diagnostic' (3) or better. One-sample t-test confirmed mean rating significantly greater than 3.5 (p < 0.05). No significant difference between readers (ANOVA p > 0.05).
Indicated for radiographic x-ray examinations on pediatric and adult patients in all patient treatment areas.
Regulatory Classification
Identification
A mobile x-ray system is a transportable device system intended to be used to generate and control x-ray for diagnostic procedures. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
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February 5, 2018
Carestream Health, Inc. % Ms. Victoria Wheeler Sr. Regulatory Affairs Manager 150 Verona Street ROCHESTER NY 14608
Re: K173924
Trade/Device Name: DRX-Revolution Nano Mobile X-ray System Regulation Number: 21 CFR 892.1720 Regulation Name: Mobile x-ray system Regulatory Class: II Product Code: IZL Dated: December 27, 2017 Received: December 28, 2017
Dear Ms. Wheeler:
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. 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 801); medical device reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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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 http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice
(https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Michael D. O'Hara For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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### Indications for Use
510(k) Number (if known) K173924
Device Name
DRX-Revolution Nano Mobile X-ray System
Indications for Use (Describe)
The device is designed to perform radiographic x-ray examinations on pediatric and adult patients treatment areas.
Type of Use (Select one or both, as applicable)
X Prescription Use (Part 21 CFR 801 Subpart D)
| Over-The-Counter Use (21 CFR 801 Subpart C)
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# Carestream
## "510(k) Summary"
| 510(k) Owner Name:<br>510(k) Owner Address: | Carestream Health, Inc.<br>150 Verona Street<br>Rochester, New York 14608 |
|-------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 510(k) Owner Phone:<br>510(k) Owner Fax: | 585-627-8706<br>585-627-8802 |
| Contact Person & Info: | Victoria Wheeler<br>Senior Regulatory Affairs Manager<br>victoria.wheeler@carestream.com<br>585-627-8706 |
| Date Summary Prepared: | January 24, 2018 |
| Device Trade Name:<br>Device Common Name:<br>Classification Name: | DRX-Revolution Nano Mobile X-ray System<br>Mobile x-ray system<br>Mobile x-ray system |
| Device Class:<br>Device Code:<br>Regulation Number: | Class II<br>IZL<br>21 CFR 892.1720 |
| Predicate Device: | DRX- Revolution Nano Mobile X-ray System<br>Manufactured by: Carestream Health, Inc.<br>510(k) No.: K170755 (June 21, 2012)<br>Classification Regulation: 21 CFR 892.1720<br>Classification Name: Mobile x-ray system<br>Primary Product Code: IZL |
#### Device Description:
Carestream Health, Inc. is submitting this Traditional 510(k) premarket notification for a modification to the cleared DRX-Revolution Nano Mobile X-ray System (K170755). The product will continue to be marketed as the DRX-Revolution Nano Mobile X-ray System.
Consistent with the original system, the modified DRX-Revolution Nano Mobile X-ray System (also referred to throughout this document as the Nano system) is a diagnostic mobile x-ray system utilizing digital radiography (DR) technology. The system consists
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of a self contained x-ray generator, image receptor(s), imaging display and software for acquiring medical diagnostic images outside of a standard stationary x-ray room. The modified Nano system can also be used to expose Computed Radiography (CR) storage phosphor or film cassettes.
Modifications have been made to the design of the system's x-ray tube and its operational characteristics for the purpose of improving the x-ray tube reliability and life span. This required modifications to the embedded software to accommodate these tube design changes.
#### Indications for Use
The Indications for Use for the device, as described in its labeling, are: "The device is designed to perform radiographic x-ray examinations on pediatric and adult patients, in all patient treatment areas."
#### Intended Use
The intended use for this device, as determined by descriptions and the proposed labeling contained in this submission, is similar to the Indications for Use statement provided above. The Nano system used to generate and control x-rays for diagnostic procedures. We believe that the Nano system and the predicate device have the same intended use.
#### Comparison of Technological Characteristics:
Modifications have been made to the design of the x-ray tube and its operational characteristics for the purpose of improving the x-ray tube reliability and life span.
The technical characteristics of the modified device are not different from the predicate device except for minor adjustments to tungsten thickness (on the anode), focal spot size, and maximum exposure current. These adjustments led to a reduction in generator power from 6.5 kW to 5.3 kW.
Based upon information provided within this submission, we believe that the modified DRX-Revolution Nano Mobile X-ray System is substantially equivalent to the legally marketed DRX-Revolution Nano X-ray System (K170755).
#### Discussion of Non-clinical Testing:
The performance characteristics and operation / usability of the DRX-Revolution Mobile Nano System were evaluated in non-clinical (bench) testing. These studies have demonstrated the intended workflow, related performance, overall function, shipping performance, verification and validation of requirements for intended use, and reliability of the system including both software and hardware requirements. Non-clinical test results have demonstrated that the device conforms to its specifications. Predefined acceptance criteria were met and demonstrated that the device is as safe, as effective, and performs as well as or better than the predicate device.
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#### Discussion of Clinical Testing (using Phantoms):
The diagnostic imaging performance of the modified DRX-Revolution Nano system was evaluated by executing a phantom imaging study.
#### Anthropomorphic Phantoms
The phantoms used for the imaging study were purchased commercial products intended for x-ray imaging tests. The phantoms represent different sections of the human anatomy and are anthropomorphic both in appearance, size, and x-ray attenuation characteristics. For example, the adult chest phantom ("Lungman") was manufactured by Kyoto Kagaku and it is widely accepted in the scientific community for x-ray imaging quality assessment. The particular phantom used contains actual human bone and simulated lung tissues.
Similarly, the adult pelvis phantom, also used in this study, contains actual human bones. As both the chest and the pelvis phantom only mimic a medium sized adult patient, larger sized patients were simulated by additional PMMA (acrylic glass) plates each of 2.5 cm in thickness to the two phantoms. For example, images were taken with no additional PMMA on the phantoms, one PMMA plate in the front of the phantoms, and one PMMA plate in both the front and the back of the phantoms (two PMMA plates in total). In summary, these two phantoms cover the anatomical regions of the lung, mediastinum, diaphragm, ribs, clavicles, shoulder, inferior c-spine, t-spine, l-spine, pelvis, and superior femur.
The other two anthropomorphic phantoms used in the clinical study were an upper limb and a lower limb representing anatomical size and structure of a typical five year old child. These phantoms were recently manufactured by CIRS Inc (Model number 715-A-L-FX and 715-L-R). They contain simulated human bone skeletons and also simulated soft tissue/muscle/fat around the skeletons. These phantoms are intended for imaging at both diagnostic and therapy x-ray energy ranges. These two phantoms cover the anatomical regions of the interior femur, knee, tibia/fibula (lower leg), ankle, foot, inferior humerus, elbow, ulna/radius (forearm), ankle, and hand.
The standard Gammex 610 neonatal chest phantom manufactured by Supertech, was used for the neonate imaging. It is designed for routine quality assurance monitoring of computed and digital radiography systems. This phantom replicates both the anatomic structure and the tissue attenuation characteristics of an actual human neonate.
In summary, we believe the anthropomorphic phantoms used in this study adequately represent the device's broad range of intended uses.
The study objective was to evaluate the imaging performance (diagnostic image quality) of the modified DRX-Revolution Nano Mobile X-ray System using a radiologist reader rating scale (RadLex Rating) that is applicable to projection radiography. Three (3) board certified radiologists with extensive reading experience (Table 1) rated the images using the RadLex scale for diagnostic quality. The radiologists provided image quality ratings from 1.0 to 4.0 using a graduated RadLex rating scale (to one decimal place) to account for ratings between the absolute values (e.g. 3.1, 3.5, or 3.9).
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For each reading session, the radiologists were given work lists of image cases to review on the CARESTREAM PACS Workstation. Images were randomized and displayed following a single stimulus format. In addition, the image work lists were randomized for the radiologists to avoid bias due to study learning curve or reader fatigue. The radiologists were allowed to pan, adjust window/level, and magnify on the PACS workstation while evaluating image quality.
#### Summary of Statistical Analysis Methodology
The statistical analysis is performed using Minitab® statistical software and Microsoft Excel for generating charts. Diagnostic quality ratings (RadLex Scale) are treated as a continuous variable for the descriptive statistics and hypothesis tests. The inferential tests are performed at the 5% level of significance.
Descriptive statistics including mean, standard error of the mean, median, standard deviation, and sample size are presented in Table 1 for all RadLex rating data.
| Statistic | Investigational RadLex<br>Rating |
|--------------------|----------------------------------|
| Mean | 3.595 |
| Standard Error | 0.028 |
| Median | 3.6 |
| Standard Deviation | 0.220 |
| Observation Count | 60 |
Table 1 - RadLex Rating Descriptive Statistics
Applying the one-sample t-test to the mean RadLex rating we find statistical significance. At a 95% significance level the mean of the DRX-Revolution Nano RadLex rating data is greater than the mid-value (3.5) of the Diagnostic (3) quality image rating scale. There is no significant difference in ratings across Readers. The ANOVA vields a p-value greater than alpha (0.05) which fails to reject the null hypothesis "All means are equal" (referring to the RadLex rating means of each Reader). In summary, the three different Readers are similar in their evaluation of the images.
#### Conclusion
The mean RadLex rating for the 60 responses is 3.6. 100% of the image ratings were Diagnostic (3) quality. Approximately 78 % of the total number of rating responses falls in the mid to upper end of the Diagnostic (3) RadLex Rating scale between Diagnostic and Exemplary. The one- sample t-test yields statistical significance at the 95% significance level. This result implies quality ratings equal to or better than a Diagnostic (3) quality rating. There is no significant difference in ratings across Readers.
#### Summary
The statistical test results and graphical summaries demonstrate the DRX-Revolution Nano Mobile X-ray System Study using Phantoms delivers quality imaging performance that is rated Diagnostic.
Results of the Phantom Reader Study indicated that the diagnostic capability of the modified DRX-Revolution Nano Mobile X-ray System is statistically equivalent to or better than that of the predicate device.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
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.