The CareView 1800Cwe/ CareView 1500Cwe detector is indicated for digital imaging solution designed for providing general radiographic diagnosis of human anatomy. It is intended to replace radiographic film/screen systems in all general-purpose diagnostic procedures. This product is not intended for mammography applications.
Device Story
Digital X-ray flat panel detector; intercepts X-ray photons via CsI scintillator; converts to visible light; illuminates a-Si photodetector array; generates electrical signals; converts to digital images. Used in clinical settings; operated by healthcare professionals. Integrates with X-ray generators and computers via wireless or wired (Gigabit Ethernet) connection. Supports soft sync, manual sync, and F²AED exposure modes. Provides digital radiography diagnostics; replaces film/screen systems. Benefits include improved workflow and digital image management.
Clinical Evidence
Bench testing only. Performance evaluated via electrical, mechanical, and environmental safety testing per IEC/ES 60601-1 and EMC testing per IEC/EN 60601-1-2. Imaging performance metrics (MTF, DQE) provided for comparison against predicate.
Technological Characteristics
CsI scintillator; a-Si thin film transistor (TFT) readout; carbon fiber plate; air cooling. Wireless (IEEE 802.11a/b/g/n) and wired (Gigabit Ethernet) connectivity. 16-bit grayscale. Dimensions: 460x460x15mm (1800Cwe) or 460x384x15mm (1500Cwe). Power: DC +24V. Standards: IEC/ES 60601-1, IEC/EN 60601-1-2.
Indications for Use
Indicated for general radiographic diagnosis of human anatomy in patients requiring diagnostic imaging, excluding mammography.
Regulatory Classification
Identification
A stationary x-ray system is a permanently installed diagnostic system intended to generate and control x-rays for examination of various anatomical regions. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
Special Controls
*Classification.* Class II (special controls). A radiographic contrast tray or radiology diagnostic kit intended for use with a stationary x-ray system only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
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CareRay Digital Medical Technology Co., Ltd. % Leilei Li RA Manager, Regulation Department A2-201/B3-501, Biobay, 218 Xinghu Street, SuZhou Industrial Park, SuZhou, Jiangsu 215123 CHINA
August 7, 2020
#### Re: K201932
Trade/Device Name: X-ray Flat Panel Detectors (CareView 1800Cwe /CareView 1500Cwe) Regulation Number: 21 CFR 892.1680 Regulation Name: Stationary x-ray system Regulatory Class: Class II Product Code: MQB Dated: July 1, 2020 Received: July 13, 2020
#### Dear Leilei Li:
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); 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,
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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510(k) number: K201932
# 510(k) Summary
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## 510(k) Summary
[As required by 21 CFR 807.92]
#### 1. Date Prepared [21 CFR807.92 (a) (1)]
July 01, 2020
#### 2. Submitter's Information [21 CFR807.92 (a) (1)]
| Company Name: | CareRay Digital Medical Technology Co., Ltd. |
|------------------|-------------------------------------------------------------------------------------------------|
| Company Address: | A2-201/B3-501, Biobay, 218 Xinghu Street, Suzhou<br>Industrial Park, Suzhou 215123, P. R. China |
| Contact Person: | Ms. Li |
| Phone Number: | (86) 512-86860288 |
| Fax Number: | (86) 512-86860388 |
| E-mail: | ll.li@careray.com |
#### 3. Trade Name, Common Name, Classification [21 CFR807.92(a)(2)]
| Trade Name: | X-ray Flat Panel Detectors |
|----------------------|------------------------------------|
| Model Name: | CareView 1800Cwe/ CareView 1500Cwe |
| Classification Name: | Stationary X-ray system |
| Regulation Number: | 21 CFR 892.1680 |
| Regulatory Class: | Class II |
| Product Code: | MQB |
#### 4. Identification of Predicate Device(s) [21 CFR 807.92(a)(3)]
The identified predicates within this submission are as follows:
| Manufacturer: | CareRay Digital Medical Technology Co., Ltd |
|----------------------|---------------------------------------------|
| Trade Name: | X-ray Flat Panel Detectors |
| Model Name: | CareView 1800Le |
| Classification Name: | Stationary X-ray system |
| Regulation Number: | 21 CFR 892.1680 |
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| Regulatory Class: | Class II |
|-------------------|----------|
| Product Code: | MQB |
| FDA 510(k) #: | K193173 |
#### 5. Description of the Device [21 CFR 807.92(a)(4)]
The CareView 1800Cwe/ CareView 1500Cwe detector is a class of digital X-ray flat panel detector that has an imaging area of 430mm×430mm×356mm. The detector communicates with wireless and an optional wired communication feature (Giga-bit Ethernet communication mode via connecting the power box).
The detector functions by intercepting X-ray photons. Then the scintillator emits visible spectrum photons that illuminate an array of photo detectors (a-Si) that create electrical signals. The electrical signals are then digitally converted to display an image on the monitor.
The detector should be connected to a computer and X-ray generator to digitize X-ray images and transfer radiography diagnostics. The x-ray generator, an essential part of a full x-ray system, is not part of the subject medical device.
The software that supports the functions of the digital detector CareView 1800Cwe/ CareView 1500Cwe is unchanged from the predicate. And the API for the digital detector CareView 1800Cwe/ CareView 1500Cwe is the same as that for the predicate device. Besides, there are only minor differences between the firmware for the CareView 1800Cwe/ CareView 1500Cwe and predicate device except to support battery supply and wireless communication.
Generally, CareView 1800Cwe is the same as the cleared product, CareView 1800Le except the wireless function. And CareView 1500Cwe is the same as the cleared product, CareView 1800Le except the wireless function and dimension.
#### 6. Intended Use [21 CFR 807.92(a)(5)]
The CareView 1800Cwe/ CareView 1500Cwe detector is indicated for digital imaging solution designed for providing general radiographic diagnosis of human anatomy. It is intended to replace radiographic film/screen systems in all general-purpose diagnostic procedures. This product is not intended for mammography applications.
#### 7. Technological Characteristics [21 CFR 807.92(a)(6)]
| Item | Proposed Device:<br>X-ray Flat Panel Detectors | | Predicate Device:<br>X-ray Flat Panel<br>Detectors |
|---------------|------------------------------------------------|------------------|----------------------------------------------------|
| 510(K) Number | K201932 | | K193173 |
| Model | CareView 1800Cwe | CareView 1500Cwe | CareView 1800Le |
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| Classification Name | Stationary X-ray system | | Stationary X-ray system |
|-------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------|
| Product Code | MQB | | MQB |
| Regulation Number | 892.1680 | | 892.1680 |
| Panel | Radiology | | Radiology |
| Class | II | | II |
| X-ray Absorber | Csl Scintillator | | Csl Scintillator |
| Installation Type | Wireless, Cassette | | Wired, Cassette |
| Readout<br>Mechanism | Thin Film Transistor | | Thin Film Transistor |
| Image Matrix Size | 3072 x 3072 pixels | 3072 x 2560 pixels | 3072 x 3072 pixels |
| Pixel Pitch | 140µm | | 140µm |
| Effective Imaging<br>Area | 430 mm x 430 mm | 430 mm x 356 mm | 430 mm x 430 mm |
| Grayscale | 16 bit, 65536 grayscale | | 16 bit, 65536 grayscale |
| Spatial Resolution | 3.57 line pair/mm | | 3.57 line pair/mm |
| | ~63%.........(@ 1lp/mm) | | ≥63%.........(@ 1lp/mm) |
| MTF | ~35%.........(@ 2lp/mm) | | ≥35%.........(@ 2lp/mm) |
| | ~17%.........(@ 3lp/mm) | | ≥17%.........(@ 3lp/mm) |
| | (@RQA5, 27µGy) | | (@RQA5, 30μGy) |
| DQE | ~62%.........(@ 0lp/mm)<br>~45%.........(@ 1lp/mm) | | ≥62%.........(@ 0lp/mm)<br>≥45%.........(@ 1lp/mm) |
| | ~17%.........(@ 3lp/mm) | | ≥17%.........(@ 3lp/mm) |
| Rated<br>Power<br>Supply | DC +24 V, Max.2 A | DC +24 V, Max.1.5 A | DC +24 V, Max.1 A |
| ●<br>Wireless | • Powered by the battery | | ● Powered<br>by<br>the |
| ●<br>Wired | • Powered by the power box using interface<br>cable | | power<br>box<br>using<br>interface cable |
| Wireless<br>communications | IEEE 802.11a/b/g/n (2.4 GHz / 5 GHz) | | / |
| Network interface | Gigabit Ethernet | | Gigabit Ethernet |
| Imaging Plate | Carbon Fiber Plate | | Carbon Fiber Plate |
| Cooling | Air cooling | | Air cooling |
| Dimensions | 460 mm x 460 mm x<br>15 mm | 460 mm x 384 x 15<br>mm | 460 mm x 460 mm x 15<br>mm |
| | | | Temperature: +5 ~<br>+35°C |
| Operation | Temperature: +5 ~ +35°C | | Humidity: 30 ~ 75%<br>(Non-Condensing) |
| | Humidity: 30 ~ 75% (Non-Condensing) | | |
| | Atmospheric pressure: 700 ~ 1060 hPa | | Atmospheric pressure:<br>700 ~ 1060 hPa |
| | | | |
| | | | Temperature: -20 ~<br>+55°C |
| | Temperature: -20 ~ +55 ℃ | | Humidity: 10 ~ 90%<br>(Non-Condensing) |
| Storage and<br>transportation | Humidity: 10 ~ 90% (Non-Condensing) | | |
| | Atmospheric pressure: 700 ~ 1060 hPa | | Atmospheric pressure:<br>700 ~ 1060 hPa |
| API | V4.8.0 | | V4.8.0 |
| Firmware | V0.96e | | V0.96j |
| Utilized<br>FDA | 1. | Guidance for the Submission of 510(k)s for | Guidance for the<br>1. |
| guidance documents | | | |
| | Solid State X-ray Imaging Devices<br>2. The 510(k) Program: Evaluating Substantial<br>Equivalence in Premarket<br>Notifications[510(k)]<br>3. Pediatric Information for X-ray Imaging<br>Device Premarket Notifications<br>4. Radio Frequency Wireless Technology in<br>Medical devices<br>5. Guidance for the Content of Premarket<br>Submissions for Software Contained in<br>Medical Devices<br>6. Content of Premarket Submissions for<br>Management of Cybersecurity in Medical<br>Devices | Submission of<br>510(k)s for Solid<br>State X-ray Imaging<br>Devices<br>2. The 510(k) Program:<br>Evaluating<br>Substantial<br>Equivalence in<br>Premarket<br>Notifications[510(k)]<br>3. Pediatric Information<br>for X-ray Imaging<br>Device Premarket<br>Notifications<br>4. Guidance for the<br>Content of<br>Premarket<br>Submissions for<br>Software Contained<br>in Medical Devices<br>5. Content of<br>Premarket<br>Submissions for<br>Management of<br>Cybersecurity in<br>Medical Devices | |
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## 8. System requirements to operate with other radiographic system components
The submitted medical device is the CareView 1800Cwe/ CareView 1500Cwe digital detector. The other x-ray system components referred below are for information purpose only.
- 1) Recommended Generator Specification:
Energy range: 40~150kVp
mA range: 10~1000mA (depending on the generator power)
ms range: 10~6300ms to produce 0.1~1000mAs (depending on the generator power)
Note: To our best knowledge, the detector is compatible with the X-ray generators with the specifications described above. If you have questions regarding the compatibility issue for other generators, please contact your distributor or CareRay.
- 2) Application Program Interface (API) for system integration manufacturer Peripheral hardware: CareView detector connected via wired communication. CPU: Intel (R) Core (TM) 2 Duo, 2.93GHz or above
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RAM: 6 GB or higher
Hard disk: 80 GB or higher
Monitor: 1280 x 1024 or higher
OS: Windows XP or Windows 7 or Windows 10
Development environment: MS Visual Studio 2005
- 3) X-ray exposure mode
The synchronous connection mode is the signal transfer mode between the X-ray generator which sends the X-ray and the detector which receives the X-ray.
CareView 1800Cwe/ CareView 1500Cwe supported typical sync mode contains soft sync, manual sync and F²AED modes.
The detector can't provide feedback to the generator to terminate the x-ray exposure.
## 9. Substantial Equivalence [21 CFR 807.92(b) (1) and 807.92(b)(2)]
- A Electrical safety and EMC testing
Electrical, mechanical, environmental safety and performance testing according to IEC/ES 60601-1 was performed, and EMC testing was also conducted in accordance with IEC/EN 60601-1-2. All test results are satisfactory.
> Nonclinical and clinical considerations
> The proposed device (CareView 1800Cwe/ CareView 1500Cwe) and predicate device (CareView 1800Le) share most of primary product specifications including intended use, technology, material, and imaging principle, power supply method etc. The only difference is the wireless function and dimension.
> The difference of wireless function and dimension don't affect the technological parameters and clinical images.
#### 10. Conclusion [21 CFR 807.92(b) (3)]
In accordance with the Federal Food, Drug and Cosmetic Act, 21 CFR Part 807 and based on the information provided in this premarket notification, the CareView 1800Cwe/ CareView 1500Cwe X-ray flat panel detector is substantially equivalent to predicate device CareView 1800Le(K193173). Both propose and predicate devices are same in the intended use, the design principle, the applicable standards and specification. Some characteristics, for example, wireless function and dimension are different. However the test reports in this submission documents provide demonstration that this difference doesn't raise any new questions of safety and effectiveness. Therefore, CareRay Digital Medical Technology Co.,
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Ltd. concludes the CareView 1800Cwe/ CareView 1500Cwe X-ray flat panel detector is substantially equivalent with the predicate device CareView 1800Le(K193173).
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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.
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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).
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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.
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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.
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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.
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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.
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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.
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Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
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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.
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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.
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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.