INSTATRAK SYSTEM WITH MULTIPLE DATASET NAVIGATION, MODEL IT3500
K040050 · Ge Medical Systems Navigation and Visualization IN · LLZ · Mar 24, 2004 · Radiology
Device Facts
Record ID
K040050
Device Name
INSTATRAK SYSTEM WITH MULTIPLE DATASET NAVIGATION, MODEL IT3500
Applicant
Ge Medical Systems Navigation and Visualization IN
Product Code
LLZ · Radiology
Decision Date
Mar 24, 2004
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Indications for Use
The InstaTrak 3500 Plus System (K983529, originally cleared under the product name InstaTrak 3000) is intended as an aid to the surgeon for precisely locating anatomical structures anywhere on the human body during either open or percutaneous procedures. It is indicated for any medical condition that may benefit from the use of stereotactic surgery and which provides a reference to rigid anatomical structures such as sinus, skull, long bone, or vertebra, visible on medical images such as CT, MR, or X-ray.
Device Story
InstaTrak 3500 Plus is an image-guided surgical system; provides real-time visualization of tracked surgical instruments relative to patient anatomy. Input: pre-operative medical images (CT, MR, X-ray) and real-time electromagnetic tracking data from surgical instruments. Operation: system registers patient anatomy to image datasets; allows co-registration (fusion) of multiple datasets (e.g., CT and MR) to enhance visualization. Output: visual display of instrument position overlaid on fused medical images. Used in OR by surgeons for intra-operative guidance; assists in precise localization of anatomical structures. Benefits: improved surgical planning and navigation accuracy during open or percutaneous procedures.
Clinical Evidence
No clinical data provided; substantial equivalence based on technological characteristics and software functionality compared to predicate devices.
Technological Characteristics
Electromagnetic position sensing system; software-based image fusion module. Compatible with CT, MR, and X-ray imaging modalities. Operates as an add-on to the existing InstaTrak 3500 Plus platform. Complies with CENELEC EN 55011, EN 60601-1-2, EN 60601-1, UL2601, and CSA601 standards.
Indications for Use
Indicated for patients undergoing open or percutaneous surgical procedures requiring stereotactic navigation; applicable to conditions involving rigid anatomical structures (sinus, skull, long bone, vertebra) visible on CT, MR, or X-ray imaging.
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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K040050
Page 21 of 3
## 510(k) SUMMARY
# GE MEDICAL SYSTEMS NAVIGATION AND VISUALIZATION INSTATRAK 3500 PLUS WITH MULTIPLE DATASET NAVIGATION
#### SUBMITTED BY: ﮩ
GE Medical Systems Navigation and Visualization
| Primary Contact: | Jeff Wagner |
|------------------|---------------------------|
| | GE OEC Medical Systems |
| | 384 Wright Brothers Drive |
| | Salt Lake City, UT 84116 |
| | Tel (801) 328-9300 |
#### DEVICE NAME 2.
| Proprietary Name: | InstaTrak with Multiple Dataset Navigation |
|----------------------|--------------------------------------------|
| Common/Usual Name: | Interactive Image Guided Surgical System |
| Classification Name: | Image Processing System |
#### DEVICE CLASSIFICATION 3.
Image Processing Systems (21 CFR 892.2050 Product Code LLZ) and Computed Tomography Systems (21 CFR 892.1750 Product Code JAK) have been classified under Section 513 of the Act as Class II by the Radiology Devices Panel.
#### PERFORMANCE STANDARDS 4.
No performance standards applicable to this device have been adopted under Section 514 of the Act. The InstaTrak system complies with the following:
CENELEC EN 55011 CENELEC EN 60601-1-2 CENELEC EN 60601-1 UL2601 CSA601
#### DEVICE DESCRIPTION 5.
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K040050
Page 2 of 3
## Intended Use
The InstaTrak 3500 Plus System (K983529, originally cleared under the product name InstaTrak 3000) is intended as an aid to the surgeon for precisely locating anatomical structures anywhere on the human body during either open or percutaneous procedures. It is indicated for any medical condition that may benefit from the use of stereotactic surgery and which provides a reference to rigid anatomical structures such as sinus, skull, long bone, or vertebra, visible on medical images such as CT, MR, or X-ray.
### General Description
The InstaTrak system with Multiple Dataset Navigation provides the same capability as the existing system, with the additional functionality of utilizing two sets of medical images instead of one. By providing information from multiple datasets, the user can locate and visualize anatomical structures using different imaging modalities.
The InstaTrak 3500 Plus System allows the user to view the medical images of the patient's anatomy in response to the mouse or the tracked surgical instrument. Alignment of the patient and medical images is accomplished through the registration process. In all types of surgery the goal is the same, to display to the surgeon based on the medical images, where the position of a tracked surgical tool is with regard to the patient's anatomy. With the additional capability of multiple dataset navigation, the surgeon can now view the position of the tracked instrument using two sets of medical images instead of one.
The Multiple Dataset Navigation will provide the user with the ability to co-reqister (fuse) images from multiple datasets such as CT and MR. Using the existing InstaTrak 3500 Plus System software, the user will register one of the datasets, referred to as the Reference Dataset, to the patient. Navigation is then possible on the fused images, with secondary (registered) dataset(s) acting as a visualization enhancement for both surgical planning and intra-operative quidance. The sensors and instruments used for navigation are identical to those utilized by the existing InstaTrak system. Navigation will be disabled until the datasets have been successfully co-registered.
Patient registration is the process by which the coordinate systems of the medical images and the pointing instrument are aligned. This is performed on the primary (reference) dataset. Both the method of registration on the primary (reference) dataset and the resulting accuracy are identical to that described in K983529.
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K040050
page 3 of 3
The current system provides displays for a single set of medical images. The Multiple Dataset Navigation option will provide displays for multiple sets of medical images. The addition of the Multiple Dataset Navigation operating mode does not change any of the major components of the InstaTrak System. There are no new receivers, transmitters, or instrument attachment configurations associated with this operational mode. Addition of the Multiple Dataset Navigation mode is a software change only.
#### 7. SUBSTANTIAL EQUIVALENCE
The GE Medical Systems Navigation and Visualization Multiple Dataset Navigation option on the InstaTrak system is substantially equivalent to the Image Composer application on the Vectorvision iPlan (K020631), manufactured by BrainLAB, and the StealthStation (K954276) with StealthMerge application, manufactured by Medtronic. Each predicate device also offers the capability to fuse multiple data sets from different imaging modalities. The GE Medical Systems Multiple Dataset Navigation application has the same intended use and utilizes images from the same modalities as the predicate devices. There are no new questions of safety and effectiveness when compared to the predicate devices. The technological platform (InstaTrak, K983529) is unchanged, using the same electromagnetic position sensing and registration process as described in K983529, Except for the Multiple Dataset Navigation function, the InstaTrak system specifications and operating parameters will remain unchanged.
#### 8. CONCLUSION
Based on the above discussion, GE Medical Systems Visualization and Navigation believes that the Multiple Dataset Navigation module is substantially equivalent to the predicate devices.
This concludes this 510(k) summary
lac ti
Jackie Magno Vice President, Regulatory and Six Sigma GE OEC Medical Systems
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Image /page/3/Picture/1 description: The image shows the logo for the Department of Health & Human Services. The logo consists of a stylized caduceus symbol, which is a staff with two snakes coiled around it. The words "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" are arranged around the symbol.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
MAR 2 4 2004
Mr. Jackie Magno Vice President, Regulatory Affairs and Six Sigma GE OEC Medical Systems, Inc. General Electric Company 384 Write Brothers Drive SALT LAKE CITY UT 84116-2862
Re: K040050 Trade/Device Name: Insta Trak 3500 Plus with Multiple Dataset Navigation Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: 90 LLZ Dated: December 22, 2003 Received: January 15, 2004
### Dear Mr. Magno:
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 intestste 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, Or ug, 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, I isting of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to such 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, TDA 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); 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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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.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Office of Compliance at one of the following numbers, based on the regulation number at the top of the letter:
| 8xx. 1xxx | (301) 594-4591 |
|----------------------------------|----------------|
| 876.2xxx, 3xxx, 4xxx, 5xxx | (301) 594-4616 |
| 884.2xxx, 3xxx, 4xxx, 5xxx, 6xxx | (301) 594-4616 |
| 892.2xxx, 3xxx, 4xxx, 5xxx | (301) 594-4654 |
| Other | (301) 594-4692 |
Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97) you may obtain. Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html.
Sincerely yours.
Nancy C. Brogdon
Nancy C. Brogdon Director, Division of Reproductive, Abdominal and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
Page 2
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510(k) Number (if known): K 0 400 50
Device Name: GE Medical Systems Visualization and Navigation InstaTrak System with Multiple Dataset Navigation
Indications For Use:
The system is intended as an aid to the surgeon for precisely locating anatomical structures anywhere on the human body during either open or percutaneous procedures. It is indicated for any medical condition that may benefit from the use of stereotactic surgery and which provides a reference to anatomical structures such as sinus, skull, long bone, or vertebra, visible on medical images such as CT, MR, or X-ray.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NECESSARY)
Concurrence of CDRH, Office of Device Evaluation (ODE)
L Prescription Use (Per 21 CFR 801.109)
OR
Over-The-Counter Use __
David A. Lynn
(Division Sign-Off)
Division of Reproductive, Abdominal
Reproductive, Abdominal,
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.