A clinical validation study used retrospective patient images to evaluate the sensitivity and consistency of the EmboGuide software in identifying tumor feeding vessels compared to standard CBCT, reflecting its use in normal clinical practice.
EmboGuide is a post processing software medical device intended to assist physicians in performing embolization of hypervascular tumors in the liver using interventional X-ray. It provides tools to help the user with the analysis of 3D rotational angiography images. Its output is intended as an adjunct means to help with the planning and guidance of the embolization procedure. It provides real time overlay of 3D rotational angiography images of the same anatomy to support device/catheter guidance.
Device Story
EmboGuide is post-processing software for Allura interventional X-ray systems; assists physicians in liver tumor embolization. Inputs: 3D volumes from rotational angiography; lesion segmentations from CT, MR, or XperCT. Processing: identifies/annotates feeding vessels; registers 3D volumes to live 2D X-ray images. Output: real-time 3D/2D fused overlay for catheter guidance; planning data display. Used in interventional suites by physicians. Benefits: improved visualization of tumor-feeding vasculature; supports precise navigation during embolization.
Clinical Evidence
Retrospective study of 44 patients. Compared EmboGuide Automatic Feeder Detection (AFD) and clinical practice (manual adjustment) against CBCT alone. Ground truth established by consensus of two radiologists. Primary endpoint: sensitivity and inter-reader agreement. Results: EmboGuide clinical practice sensitivity 83% (±8%); EmboGuide AFD and clinical practice showed higher sensitivity than CBCT. Inter-reader agreement for EmboGuide (AFD and clinical) >0.7 (consistent), whereas CBCT agreement was 0.69 (inconsistent).
Technological Characteristics
Post-processing software extension for Allura interventional X-ray systems. Uses 3D rotational angiography reconstruction. Connectivity: DICOM compliant. Standards: IEC 62304 (software lifecycle), IEC 62366 (usability), ISO 14971 (risk management).
Indications for Use
Indicated for physicians performing embolization of hypervascular liver tumors using interventional X-ray. Used as an adjunct for planning and guidance of embolization procedures.
Regulatory Classification
Identification
An image-intensified fluoroscopic x-ray system is a device intended to visualize anatomical structures by converting a pattern of x-radiation into a visible image through electronic amplification. 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). An anthrogram tray or radiology dental tray intended for use with an image-intensified fluoroscopic 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. In addition, when intended as an accessory to the device described in paragraph (a) of this section, the fluoroscopic compression device 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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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
January 30, 2015
Philips Medical Systems Nederland B.V. % Ms. Liselotte Kornmann Regulatory Affairs Manager Veenpluis 4-6 Best, 5684 PC THE NETHERLANDS
Re: K142273
Trade/Device Name: EmboGuide Regulation Number: 21 CFR 892.1650 Regulation Name: Image-intensified fluoroscopic x-ray system Regulatory Class: II Product Code: OWB, LLZ, JAK Dated: December 16, 2014 Received: January 12, 2015
Dear Ms. Kornmann:
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 (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) 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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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. 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 Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Robert A Ochs
Robert Ochs. Ph.D. Acting 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)
K142273
Device Name
EmboGuide
Indications for Use (Describe)
EmboGuide is a post processing software medical device intended to assist physicians in performing embolization of hypervascular tumors in the liver using interventional X-ray. It provides tools to help the user with the analysis of 3D rotational angiography images. Its output is intended as an adjunct means to help with the planning and guidance of the embolization procedure. It provides real time overlay of 3D rotational angiography images of the same anatomy to support device/catheter guidance.
### Type of Use (Select one or both, as applicable)
2 Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
## PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
### FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
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# 510(k) Summary of Safety and Effectiveness
This 510(k) summary of safety and effectiveness information is prepared in accordance with 21 CFR §807.92.
| Date Prepared: | December 16, 2014 | |
|------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|
| Manufacturer: | Philips Medical Systems Nederland B.V.<br>Veenpluis 4-6<br>5684 PC Best<br>The Netherlands<br>Establishment Registration Number: 3003768277 | |
| Contact Person: | Mr. Hans Venings<br>Director of Regulatory Affairs<br>Phone: +31 611348827<br>E-mail: hans.venings@philips.com | |
| Device: | Trade Name: | EmboGuide |
| | Device Name: | EmboGuide Rel. 1.0 |
| | Classification Name: | Image-intensified fluoroscopic x-ray system |
| | Classification Regulation: | 21CFR §892.1650 |
| | Classification Panel: | Radiology |
| | Device Class: | Class II |
| | Primary Product Code:<br>Secondary Product Code: | OWB (Interventional x-ray system)<br>LLZ (system, image processing, radiological),<br>JAK (system, x-ray, tomography, computed) |
| Primary Predicate<br>Device: | Trade Name: | 3D Roadmap Rel. 1 |
| | Manufacturer: | Philips Medical Systems Nederland B.V. |
| | 510(k) Clearance: | K121772 (March 21, 2013) |
| | Classification Regulation: | 21 CFR, Part 892.1650 |
| | Classification Name: | Image-intensified fluoroscopic x-ray system |
| | Classification Panel: | Radiology |
| | Device Class: | Class II |
| | Primary Product Code:<br>Secondary Product Code: | OWB (Interventional x-ray system)<br>LLZ (system, image processing, radiological),<br>JAK (system, x-ray, tomography, computed) |
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| Reference Device: | Trade Name:<br>Manufacturer:<br>510(k) Clearance:<br>Classification Regulation:<br>Classification Name:<br>Classification Panel:<br>Device Class:<br>Product Code: | FlightPlan for Liver<br>GE Healthcare<br>K121200 (November 2, 2012)<br>21 CFR, Part 892.2050<br>Picture Archiving and Communications System<br>Radiology<br>Class II<br>LLZ |
|--------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Device description: | EmboGuide is a post processing software medical device intended to assist<br>physicians in performing embolization of hypervascular tumors in the liver using<br>interventional X-ray. EmboGuide is an extension of XperCT and intended to be<br>used in combination with an Allura interventional X-ray system. Like the<br>primary predicate device 3D Roadmap, EmboGuide adds specific functionality<br>to the Allura system but does not change the overall intended use of the Allura<br>system or the overall risk profile.<br><br>EmboGuide uses a 3D volume reconstructed from 3D rotational angiography<br>images acquired on the Allura X-ray system and the segmentation of lesions on<br>previously acquired CT, MR or XperCT datasets as input data for the planning of<br>the embolization. The physician can use this input data to analyze the vasculature<br>of lesions, and to identify and annotate the blood vessels that shall be embolized<br>(feeding vessels). The real-time overlay and registration of the 3D volume on live<br>2D X-ray images from the Allura X-ray system of the same anatomy can be used<br>as additional 3D image guidance to support the navigation of the device/catheter.<br>Planning data, like the earlier annotated feeding vessels and/or 3D landmarks can<br>be displayed on 2D-3D fused images as supporting information. | |
| Indications for Use: | EmboGuide is a post processing software medical device intended to assist<br>physicians in performing embolization of hypervascular tumors in the liver using<br>interventional X-ray. It provides tools to help the user with the analysis of 3D<br>rotational angiography images. Its output is intended as an adjunct means to<br>help with the planning and guidance of the embolization procedure. It provides<br>real time overlay of 3D rotational angiography images on live 2D X-ray images<br>of the same anatomy to support device/catheter guidance.<br><br>EmboGuide has similar indications for use as its primary predicate device 3D<br>Roadmap:<br>Similar to 3D Roadmap, EmboGuide is a supportive tool to help the<br>physician with performing an interventional procedure on the Allura X-ray<br>Xper system.Similar to 3D Roadmap, EmboGuide provides the real time overlay of 3D<br>rotational angiography images on live 2D X-ray images of the same anatomy<br>to support device/catheter guidance. | |
| • | Both <b>EmboGuide</b> and <i>3D Roadmap</i> are extensions of the Allura interventional X-ray system (K133292). | |
| • | Both <b>EmboGuide</b> and <i>3D Roadmap</i> use 3D volumes reconstructed from 3D rotational angiography images as input. | |
| • | Both <b>EmboGuide</b> and <i>3D Roadmap</i> provide the overlay of 3D volume on live fluoroscopic images acquired from the Allura X-ray system. | |
| • | Both <b>EmboGuide</b> and <i>3D Roadmap</i> provide dynamic update to changes of the position of the X-ray equipment; the 3D volume is automatically adjusted to any gantry changes and any lateral or longitudinal table movements. | |
| • | <b>EmboGuide</b> provides additional functionality to assist the clinical user with identifying arteries that are feeding into hypervascular tumors and to plan for the embolization treatment of these tumors. This is functionality to further support the clinician in performing interventions and does not raise new questions related to safety and effectiveness. Furthermore, the scientific method is comparable to reference device <i>FlightPlan for Liver</i> which also implements an algorithm for detecting vessels leading to a lesion. | |
| <b>Summary of Non-clinical Performance Data:</b> | Non-clinical performance testing has been performed on <b>EmboGuide</b> and demonstrates compliance with the following International and FDA-recognized consensus standards and FDA guidance document: | |
| • | IEC 62304 Medical device software – Software life cycle processes (Ed. 1.0, 2006), | |
| • | IEC 62366 Medical devices – Application of usability engineering to medical devices (Ed. 1.0, 2007), | |
| • | ISO 14971 Medical devices – Application of risk management to medical devices (Ed. 2.0, 2007), | |
| • | NEMA PS 3.1-3.20 Digital Imaging and Communications in Medicine (DICOM) Set (2011), and | |
| • | Guidance for Industry and FDA Staff – Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" (issued May 11, 2005, document number 337). | |
| | Verification and validation tests have been performed to address intended use, the technical claims, requirement specifications and the risk management results. The test results in this 510(k) premarket notification demonstrate that | |
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Technological characteristics:
EmboGuide employs the same fundamental scientific technology as its primary predicate device 3D Roadmap.
## EmboGuide:
- complies with the aforementioned international and FDA-recognized ● consensus standards and FDA guidance document, and
- . meets the acceptance criteria and is adequate for its intended use.
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# Summary of Clinical Performance Data:
Clinical testing of EmboGuide included an initial reading study to validate the user interaction in the embolization planning workstep and a clinical validation study to validate the correctness and consistency of EmboGuide to identify feeding vessels leading to previously segmented lesions. Substantial equivalence was based in part on the clinical validation study of the EmboGuide software. Clinical Validation Study
The clinical validation study of EmboGuide was based on a retrospective image collection of 63 patients (outside the United States) and included a prospective review of randomized images; 44 subjects were included in the study and 19 were excluded. First, feeding vessels of the lesions were defined by consensus of two experienced interventional radiologists (located outside the United States) who also performed the procedures by using all available information (2D angiography, MR and /or CT, Cone Beam CT (CBCT) and EmboGuide). This was used as the "ground truth". Another three independent interventional radiologists (located out- and inside the United States) determined the feeding vessels based on CBCT, EmboGuide automatic feeder detection (AFD) and by subsequent review i.e., adding and deleting feeding vessels. Finally, the "ground truth" was compared with the determination of feeding vessels by the three independent readers for CBCT, EmboGuide AFD alone, and EmboGuide used in normal clinical practice (i.e., adding or removing vessels). The performance of EmboGuide was evaluated by the sensitivity. The study also evaluated whether consistent results could be obtained across multiple users. The study showed that:
- the sensitivity of EmboGuide in clinical routine use for identification of . tumor feeding vessels is 83+/- 8% with a CI of 95% for HCC patients with diagnostic quality CBCT images and no tumors or feeding vessels outside the volume imaged with CBCT.
- . EmboGuide as it will be used in normal clinical practice provides for a higher sensitivity to identify feeding vessels compared to CBCT,
- EmboGuide AFD alone provides for a higher sensitivity to identify feeding vessels compared to CBCT,
- . the overall agreement among readers for identification of feeding vessels using both the EmboGuide AFD and EmboGuide as it will be used in clinical practice was greater than the pre-selected acceptance criteria of 0.7 (i.e., 70%) indicating that for both approaches results in a consistent identification of feeding vessels for different readers,
- . the agreement among readers for identification of feeding vessels using the EmboGuide AFD alone was close to one (i.e., 0.99 with the lower bound of the 95% CI of 0.986), and
- the overall agreement among readers for identification of feeding vessels using the CBCT (i.e., 0.69 with lower 95%CI of 0.648) was less than the preselected acceptance criteria of 0.7 (i.e., 70%) indicating that identification of feeding vessels using this method may not be consistent for different readers.
The clinical performance data as documented in the clinical validation study demonstrate that EmboGuide performs comparably to the reference device FlightPlan for Liver that is currently marketed.
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Substantial Equivalence Conclusion:
Based on the information and comparison presented in the aforementioned sections, the proposed EmboGuide Rel. 1.0 software medical device is considered substantially equivalent to the currently marketed predicate device: 3D Roadmap, in terms of design features, fundamental scientific technology, indications for use, and safety and effectiveness.
For specific functionality to assist the clinical user in analyzing the 3D images of the vascular tree to plan for the embolization treatment, EmboGuide Rel. 1.0 is comparable to the currently marketed reference device FlightPlan for Liver. The (non-)clinical performance tests provided in this 510(k) premarket notification demonstrates that the proposed EmboGuide Rel. 1.0 is as safe and effective as its predicate device without raising any new safety and/or
effectiveness concerns
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.