K181145 · Varian Medical Systems, Inc. · MUJ · May 18, 2018 · Radiology
Device Facts
Record ID
K181145
Device Name
Eclipse Treatment Planning System
Applicant
Varian Medical Systems, Inc.
Product Code
MUJ · Radiology
Decision Date
May 18, 2018
Decision
SESE
Submission Type
Special
Regulation
21 CFR 892.5050
Device Class
Class 2
Attributes
Software as a Medical Device, Therapeutic
Indications for Use
The Eclipse Treatment Planning System (Eclipse TPS) is used to plan radiotherapy treatments with malignant or benign diseases. Eclipse TPS is used to plan external beam irradiation with photon, electron and proton beams, as well as for internal irradiation (brachytherapy) treatments. In addition, the Eclipse Proton Eye algorithm is specifically indicated for planning proton treatment of neoplasms of the eye.
Device Story
Eclipse TPS is a computer-based software system used by medical professionals to design and simulate radiation therapy treatments. It processes patient imaging data to plan external beam (photon, electron, proton) and brachytherapy treatments. The system supports advanced features including kV CBCT imaging, multi-layer beam shaping, dynamic beam flattening, and multi-isocenter field planning. It also includes specialized algorithms like Proton Eye for ocular neoplasms and RapidPlan for DVH estimation. The software assists clinicians in optimizing radiation dose distribution, which directly informs clinical decision-making for patient treatment. It is used in clinical settings by trained professionals to improve the precision and safety of radiation delivery.
Clinical Evidence
No clinical data or animal studies were provided. Substantial equivalence is supported by software verification and validation testing conducted in accordance with FDA guidance for software in medical devices.
Technological Characteristics
Computer-based software system for radiotherapy treatment planning. Conforms to IEC 62304 (software life cycle), IEC 62366-1 (usability), IEC 61217 (coordinates/movements), and IEC 62083 (TPS safety). Supports photon, electron, and proton beam planning. Features include kV CBCT integration, multi-layer beam shaping, and dynamic beam flattening. Software level of concern is major.
Indications for Use
Indicated for patients with malignant or benign diseases requiring radiotherapy treatment planning, including external beam (photon, electron, proton) and internal (brachytherapy) irradiation. The Eclipse Proton Eye algorithm is indicated for planning proton treatment of neoplasms of the eye.
Regulatory Classification
Identification
A medical charged-particle radiation therapy system is a device that produces by acceleration high energy charged particles (e.g., electrons and protons) intended for use in radiation therapy. This generic type of device may include signal analysis and display equipment, patient and equipment supports, treatment planning computer programs, component parts, and accessories.
{0}------------------------------------------------
May 18, 2018
Image /page/0/Picture/1 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: the Department of Health & Human Services logo on the left and the FDA logo on the right. The FDA logo is in blue and includes the letters "FDA" in a square and the words "U.S. Food & Drug Administration".
Varian Medical Systems, Inc. % Mr. Peter Coronado Director, Regulatory Affairs 911 Hansen Way PALO ALTO CA 94304
Re: K181145
Trade/Device Name: Eclipse Treatment Planning System Regulation Number: 21 CFR 892.5050 Regulation Name: Medical charged-particle radiation therapy system Regulatory Class: II Product Code: MUJ Dated: April 30, 2018 Received: May 1, 2018
Dear Mr. Coronado:
We have reviewed vour Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (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.
{1}------------------------------------------------
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice
(https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Michael D. O'Hara For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K181145
Device Name Eclipse Treatment Planning System
### Indications for Use (Describe)
The Eclipse Treatment Planning System (Eclipse TPS) is used to plan radiotherapy treatments with malignant or benign diseases. Eclipse TPS is used to plan external beam irradiation with photon, electron and proton beams, as well as for internal irradiation (brachytherapy) treatments. In addition, the Eclipse Proton Eye algorithm is specifically indicated for planning proton treatment of neoplasms of the eye.
| Type of Use (Select one or both, as applicable) | |
|--------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------|
| <div style="border: 1px solid black;">☑</div> Prescription Use (Part 21 CFR 801 Subpart D) | <div style="border: 1px solid black;">☐</div> Over-The-Counter Use (21 CFR 801 Subpart C) |
# CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
# *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
Image /page/3/Picture/0 description: The image shows the word "varian" in a simple, sans-serif font. The letters are all lowercase and evenly spaced. The word is in black and the background is white.
### Varian Medical Systems
3100 Hansen Way Palo Alto, CA 94304
650.493.4000 800.544.4636
varian.com
# 510(k) Summary
[Information provided according to 21 CFR 807.92]
Image /page/3/Picture/7 description: The image is a document that contains information about the Eclipse Treatment Planning System v15.6. The document is divided into five sections: Submitter, Device, Predicate Device, Device Description, and Indications for Use/Intended Use Statement. The submitter is Varian Medical Systems, Inc. located in Palo Alto, California. The device is a treatment planning system used for planning radiotherapy treatments for patients with malignant or benign diseases.
Image /page/3/Picture/8 description: The image contains three blue circles arranged horizontally against a white background. The circles are evenly spaced and appear to be of the same size. The color of the circles is a bright, solid blue, and they are the only objects in the image.
{4}------------------------------------------------
# VI. COMPARISON OF TECHNOLOGICAL CHARACTERISTICS WITH THE PREDICATE DEVI
Both the subject device and the predicate provide software the treatment of malignant or benign diseases with radiation. They are computer-based software devices used by trained medical professionals to design and simulate radiation therapy treatments. They are both capable of planning treatments for external beam irradiation with photon, electron, and proton beams, as well as for internal irradiation (brachytherapy) treatments.
The significant changes compared with the predicate device are as follows:
- a) Adding treatment planning support for Halcyon v2.0 features
- 1. Planning with kV CBCT imaging for Halcyon
- Planning with two-laver beam shaping (SX2 mode) for Halcyon MLC 2.
- Planning with dynamic beam flattening for Halcyon fields 3.
- Planning with long treatment field (multi-isocenter) 4.
- Machine configuration changes 5.
# b) Modifications to existing Eclipse features
- 1. Hybrid IMRT-VMAT plan creation change to Eclipse's MCO feature
- 2. DVH Estimation model export fix for Eclipse's RapidPlan feature
Treatment planning support for Halcyon is present in both the predicate device and subject device. The modifications to existing features are considered further developments of predicate features. The above changes do not affect the intended use of the Eclipse device. No Eclipse hardware requirement modifications are associated with these changes.
# VII. PERFORMANCE DATA
The following performance data were provided in support of the substantial equivalence determination.
Software verification and validation was conducted and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices." The software for this device was considered as a "major" level of concern.
The subject device conforms in whole or in part with the following standards:
- . IEC 62304:2006, Medical Device Software - Software Life Cycle Processes
- IEC 62366-1:2015, Medical Devices Part 1: Application of Usability Engineering to Medical Devices ●
- IEC 61217:2011, Radiotherapy Equipment - Coordinates, Movements, and Scales
- IEC 62083:2009, Medical Electrical Equipment Requirements for the Safety of Radiotherapy ● Treatment Planning Systems
No animal studies or clinical tests have been included with this pre-market submission.
# VIII. CONCLUSIONS
The non-clinical data support the safety of the device and the software verification and validation demonstrate that subject device should perform as intended in the specified use conditions. Varian therefore considers Eclipse Treatment Planning System v15.6 to have a similar level of safety and effectiveness as the predicate device.
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.