ASTRA is software imagement intended to receive, process, review, display, print and archive medical images and data from imaging modalities (e.g., CR and DR). Images and data can be stored, communicated, and displayed within the system or across computer systems. ASTRA is comprised with three configurations depending upon the requirements of the user and desired options: ASTRA Plus , ASTRA Lite, and ASTRA Mobile. ASTRA runs on a PC workstation, iPad, or iPhone and may be interfaced with verified and validated image acquisition devices from Candelis or other PACS systems. Diagnosis is not performed by the software but by Radiologists, Clinicians or referring Physicians. Typical users of this system are trained professionals, e.g. physicians, radiologists, nurses, medical technicians, and assistants. ASTRA Plus is used to: - share reports and studies with other ASTRA peers . - review reports and studies . - . download and save reports - send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send) . - . route studies to PACS, Workstations, or other ASTRA peers ASTRA Lite is used to: - share reports and studies with other ASTRA peers . - . review reports and studies - download and save reports . - send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send) . ASTRA Mobile is used to: - share reports with other ASTRA peers . - review reports . - . download and save reports - . send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send) Only pre-processed DICOM for presentation images can be interpreted for primary image diagnosis in mammography. Lossy compressed Mammographic images and digitized film screen images must not be reviewed for primary image interpretations. Mammographic images may only be interpreted using an FDA approved monitor that offers at least 5 Megapixel resolution and meets other technical specifications reviewed and accepted by FDA.
Device Story
ASTRA is a web-enabled software application for medical image management; functions as a Picture Archiving and Communications System (PACS). Inputs include medical images and data from imaging modalities (CR, DR). Software processes, displays, and archives these inputs; enables communication across LAN/WAN/VPN. Used by radiologists, clinicians, and physicians on PC workstations, iPads, or iPhones. Does not perform diagnosis; provides tools for human interpretation. Facilitates report/study sharing, routing to EMR/EHR/RIS/HIS/PACS, and downloading. Benefits include improved access to diagnostic data and workflow efficiency. Operates via DICOM 3.0 standards for interoperability.
Clinical Evidence
Bench testing only. The system configuration was assessed and tested at the factory; passed all in-house testing criteria without significant failures. Performance verified against functional requirements specified in the SRS and User Manual. No clinical data presented.
Technological Characteristics
Software-based image management system. Conforms to DICOM 3.0 standard for interoperability. Web-enabled; supports PC, iPad, and iPhone platforms via VPN. Does not contact patients or control life-sustaining equipment. Hazard analysis classified as 'Moderate' level of concern.
Indications for Use
Indicated for trained professionals (physicians, radiologists, nurses, technicians, assistants) to receive, process, review, display, print, and archive medical images/data from imaging modalities (e.g., CR, DR). Not for primary diagnosis of mammography using lossy compressed or digitized film screen images.
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 shows the text "510(k) Summary of Safety". The text is in bold and is centered on the image. The text is likely a title or heading for a document or presentation.
K111694
SEP 1 5 2011
This 510(k) summary of safety information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR 807.92.
### Date Prepared:
May 17, 2011
### Submitters Information: 21 CFR 807.92(a)(1)
Mr. Vincent Cipolla 18821 Bardeen Ave. Irvine, CA 92612, USA Tel: 949.852.1000 Fax: 949.752.7317 Email: vincent.cipolla@candelis.com
### Trade Name, Common Name and Classification: 21 CFR 807.92(a)(2)
Trade Name: ASTRA Common name: Picture Archiving Communications System . Classification Name: 892.2050 Image Processing System Product Code: LLZ
#### Predicate Device(s): 21 CFR 807.92(a)(3)
| 510(k) Number | K092949 | K103785 |
|-----------------------------|-------------------------------------------|-------------------------------------------|
| Manufacturer: | Candelis, Inc. | MIM Software, Inc |
| Device Name: | ImageGrid Radiology<br>Viewer | Mobile MIM |
| Decision Date: | 10/08/2009 | 2/4/2011 |
| Product Code: | LLZ | LLZ |
| Device Classification Name: | System, Image Processing,<br>Radiological | System, Image Processing,<br>Radiological |
| Regulation Number: | Class II - 892.2050 | Class II - 892.2050 |
| Reviewed by Third Party: | Yes | No |
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### Device Description: 21 CFR 807.92(a)(4)
ASTRA is a web-enabled software application that provides image processing and viewing tools and access to studies and reports from a Local Area Network. Wide Area Network, remote workstation, personal computer, or an iPhone, or iPad via a Virtual Private Network connection. Diagnosis is not performed by the software but by Radiologists, Clinicians or referring Physicians. The software application conforms to the DICOM 3.0 standard to allow interoperability with other DICOM compliant systems.
### Indications for Use: 21 CFR 807.92(a)(5)
ASTRA is software image management intended to receive, process, review, display, print and archive medical images and data from imaging modalities (e.g., CR and DR), Images and data can be stored, communicated, and displayed within the system or across computer systems. ASTRA is comprised with three configurations depending upon the requirements of the user and desired options: ASTRA Plus , ASTRA Lite, and ASTRA Mobile. ASTRA runs on a PC workstation, iPad, or iPhone and may be interfaced with verified and validated image acquisition devices from Candelis or other PACS systems. Diagnosis is not performed by the software but by Radiologists, Clinicians or referring Physicians. Typical users of this system are trained professionals, e.g. physicians, radiologists, nurses, medical technicians, and assistants.
ASTRA Plus is used to:
- share reports and studies with other ASTRA peers .
- review reports and studies .
- . download and save reports
- send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send) .
- . route studies to PACS, Workstations, or other ASTRA peers
ASTRA Lite is used to:
- share reports and studies with other ASTRA peers .
- . review reports and studies
- download and save reports .
- send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send) .
ASTRA Mobile is used to:
- share reports with other ASTRA peers .
- review reports .
- . download and save reports
- . send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send)
Only pre-processed DICOM for presentation images can be interpreted for primary image diagnosis in mammography. Lossy compressed Mammographic images and digitized film screen images must not be reviewed for primary image interpretations. Mammographic images may only be interpreted using an FDA approved monitor that offers at least 5 Megapixel resolution and meets other technical specifications reviewed and accepted by FDA.
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# 510(k) Summary of Safety
## Technological Characteristics: 21 CFR 807.92(a)(6)
ASTRA is a software product that handles digital medical images and reports. The device does not contact the patient, nor does it control any life sustaining devices. A physician. providing ample opportunity for competent human intervention interprets images and information being displayed and printed.
### Testing:
The complete system configuration has been assessed and tested at the factory and the device has passed all in-house testing criteria without significant failures. The data presented in the submission demonstrates that the ASTRA device performs all required actions according to the functional requirements specified in the SRS and User Manual with no errors that had an impact on safety or efficacy.
### Conclusion: 21 CFR 807.92(b)(1)
The 510 (k) Pre-Market Notification for Candelis ASTRA contains adequate information and data to enable FDA - CDRH to determine substantial equivalence to the predicate device. ASTRA has been and will be manufactured in accordance with the voluntary standards listed in the enclosed voluntary standard survey. The submission contains the results of a hazard analysis and the "Level of Concern for potential hazards has been classified as "Moderate".
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Image /page/3/Picture/0 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo consists of a stylized caduceus symbol, which features three diagonal lines representing the branches of government. The caduceus is surrounded by the text "DEPARTMENT OF HEALTH & HUMAN SERVICES (USA)" in a circular arrangement.
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
Mr. Vincent Cipolla Manager Quality/Regulatory Compliance Candelis, Inc. 18821 Bardeen Avenue IRVINE CA 92612
Re: K111694
SEP 15 2015
Trade/Device Name: ASTRA Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: August 31. 2011 Received: August 31. 2011
Dear Mr. Cipolla:
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.
If your device is classified (see above) into class II (Special Controls), it may be subject to such additional controls. Existing major regulations affecting your device can be found in Title 21, Code of Federal Regulations (CFR), Parts 800 to 895. 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 complics 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 Parts 801 and 809); medical device reporting (reporting of
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medical device-related adverse events) (21 CFR 803); and good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820). This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
ff you desire specific advice for your device on our labeling regulation (21 CFR Parts 801 and 809), please contact the Office of In Viro Diagnostic Device Evaluation and Safety at (301) 796-5450. 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.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely Yours,
Mary Patel
Mary S. Pastel, Sc.D. Director Division of Radiological Devices Office of In Vitro Diagnostic Device Evaluation and Safety Center for Devices and Radiological Health
Enclosure
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Image /page/5/Picture/0 description: The image is a black and white photograph. The image is mostly white with a few black spots scattered throughout. The black spots are small and irregular in shape.
Image /page/5/Picture/1 description: The image shows the word "CANDELIS" in a stylized font. The letters are bold and have a slightly distressed appearance. There is a curved line above the word, possibly indicating an arc or a design element.
## Indications for Use Statement
510(k) Number (if known):
Device Name: ASTRA
Indications for Use:
ASTRA is software imagement intended to receive, process, review, display, print and archive medical images and data from imaging modalities (e.g., CR and DR). Images and data can be stored, communicated, and displayed within the system or across computer systems. ASTRA is comprised with three configurations depending upon the requirements of the user and desired options: ASTRA Plus , ASTRA Lite, and ASTRA Mobile. ASTRA runs on a PC workstation, iPad, or iPhone and may be interfaced with verified and validated image acquisition devices from Candelis or other PACS systems. Diagnosis is not performed by the software but by Radiologists, Clinicians or referring Physicians. Typical users of this system are trained professionals, e.g. physicians, radiologists, nurses, medical technicians, and assistants.
ASTRA Plus is used to:
- share reports and studies with other ASTRA peers �
- review reports and studies .
- download and save reports .
- send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send) .
- route studies to PACS, Workstations, or other ASTRA peers .
ASTRA Lite is used to:
- . share reports and studies with other ASTRA peers
- review reports and studies .
- download and save reports
- send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send)
ASTRA Mobile is used to:
- share reports with other ASTRA peers .
- review reports .
- download and save reports .
- send reports to local EMR, EHR, RIS, HIS or PACS systems (HL7 send)
Only pre-processed DICOM for presentation images can be interpreted for primary image diagnosis in mammography. Lossy compressed Mammographic images and digitized film screen images must not be reviewed for primary image interpretations. Mammographic images may only be interpreted using an FDA approved monitor that offers at least 5 Megapixel resolution and meets other technical specifications reviewed and accepted by FDA.
Prescription Use × Over-The-Counter Use (21 AND/OR (Part 21 CFR 801 Subpart D) CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Muri S. Pastel
510K K11694
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Learn the FDA Browser
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.