The intended use of the myQA iON product is to perform patient quality assurance activities for radiation therapy treatment delivery systems. myQA iON is a software toolbox allowing the Medical Physicist to perform quality assurance activities before and after the patient treatment fractions for all patients undergoing radiation therapy.
Device Story
myQA iON is a server-based software application for patient quality assurance (QA) in proton radiation therapy. It interfaces with treatment planning systems, oncology information systems, and treatment delivery systems. Inputs include patient treatment plans (DICOM), machine log files, and physical measurements from external devices (e.g., MatriXX). The device uses an independent Monte Carlo dose engine to compute dose maps based on treatment plans; it also reconstructs delivered doses by analyzing machine logs and measurement data. Operated by medical physicists and dosimetrists in radiation therapy centers, the software is accessed via web browser. Outputs include QA reports and gamma analysis, which assist clinicians in verifying treatment plan accuracy and delivery performance. By enabling independent verification of dose calculations and delivery, the device helps ensure treatment precision, potentially improving patient safety and therapeutic outcomes.
Clinical Evidence
No clinical data. Substantial equivalence supported by non-clinical bench testing, including risk analysis, software verification, physics algorithm validation, integration testing, system-level clinical workflow testing, and usability beta testing.
Technological Characteristics
Server-based software application; web-browser interface; independent Monte Carlo dose calculation engine; DICOM-based data import; supports analysis of machine log files and external ion chamber measurements. No direct patient contact.
Indications for Use
Indicated for all patients undergoing radiation therapy, for use by medical physicists and dosimetrists to perform patient quality assurance activities before and after treatment fractions.
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.
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July 17, 2020
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IBA Dosimetry GmbH % Mr. Dave Yungvirt CEO, Official Correspondent Third Party Review Group, LLC 25 Independence Blvd. WARREN NJ 07059
Re: K201798
Trade/Device Name: myQA iON Regulation Number: 21 CFR 892.5050 Regulation Name: Medical charged-particle radiation therapy system Regulatory Class: Class II Product Code: LHN, IYE Dated: June 28, 2020 Received: June 30, 2020
Dear Mr. Yungvirt:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for
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devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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4. Indication for Use Statement
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DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
#### Indications for Use
Form Approved: OMB No. 0910-0120 Expiration Date: 06/30/2020 See PRA Statement below.
510(k) Number (if known)
#### K201798
Device Name myQA iON
#### Indications for Use (Describe)
The intended use of the myQA iON product is to perform patient quality assurance activities for radiation therapy treatment delivery systems. myQA iON is a software toolbox allowing the Medical Physicist to perform quality assurance activities before and after the patient treatment fractions for all patients undergoing radiation therapy.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
| | <span> ☑ Prescription Use (Part 21 CFR 801 Subpart D) </span> | <span> ☐ Over-The-Counter Use (21 CFR 801 Subpart C) </span> |
|--|-------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------|
|--|-------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------|
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# 5. 510(k) Summary of 510(k) Statement
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# 510(k) Summary
In accordance with 21 CFR 807.92 the following summary of information is provided: K201798 Date: January 17th, 2019
#### 1. 510(k) Holder:
Company: IBA Dosimetry GmbH Attention: Andreas Suchi, Executive Director QRS Adresse: Bahnhofstrasse 5, 90592 Schwarzenbruck – Germany Phone: +49 9128 607943 Fax : +49 9128 607-10 Email : Andreas.Suchi@iba-group.com
#### 2. Device
| Trade Name | myQA iON |
|---------------------------|--------------------------------------------------|
| Common Name | Patient Quality Assurance Software |
| Classification Name | Medical Charged -Particle Therapy Systems |
| Classification regulation | 21 CFR § 892.5050 |
| Classification Code | Main Product Code: LHN, Second Product Code: IYI |
#### 3. Predicate Device
The myQA iON product for Patient quality assurance in radiation therapy is substantially equivalent to the cleared product Mobius Medical Systems, Mobius3D (K153014). The intended uses are the same as well as the technological characteristics.
### 4. Device Description
The myQA iON product is a server-based software application for performing patient quality assurance for radiation therapy. In its full scope, the product delivers means for the verification of:
- . The patient treatment plan prior to the first treatment fraction by
- . Using an independent dose algorithm to compute a dose map based on the patient treatment plan;
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- . Performing measurements using external measurement devices and analyzing the results;
- . Performing machine log analysis during a treatment dry run session and reconstructing the delivered dose.
- The patient treatment delivery by
- Performing machine log analysis and reconstructing the delivered dose . for each treatment fraction.
In its full scope, the product interfaces with the Treatment Planning System, the Oncology Information System, the treatment delivery System and the external measurement device.
# 5. Intended Use
The intended use of the myQA iON product is to perform patient quality assurance activities for radiation therapy treatment delivery systems. myQA iON is a software toolbox allowing the Medical Physicist to perform quality assurance activities before and after the patient treatment fractions for all patients undergoing radiation therapy.
# 6. Non-Intended Use
The product is not intended to be a treatment planning system, nor is it intended to have direct or indirect contact with patients.
# 7. Intended User
The product is designed to be used by trained radiation oncology health professionals only.
The typical users of myQA iON are the certified Medical Physicists and technicians/dosimetrists in the radiation therapy department. The users are skilled and trained to practice patient QA activities in a clinical environment.
# 8. Summary of Technological Characteristics compared to the predicate device
The myQA iON and the Mobius3D (K153014 - predicate device) products are identical in terms of intended use, principles of operation and clinical performance. The difference between both systems is the type of radiation therapy they are used for.
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The following table gives a high-level overview of the technical characteristics
| Characteristics | myQA iON | Mobius3D | Comment |
|------------------------------------------------------------------|----------|----------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| DICOM handling<br>-manual import<br>-automatic import<br>-export | Yes | Yes | The export is not needed to fulfill<br>the intended use of myQA iON |
| | Yes | Yes | |
| | Yes | Yes | |
| | No | Yes | |
| Independent dose calculation | Yes | Yes | |
| Analysis of external<br>measurements of radiation<br>fields | Yes | Yes | myQA iON provides a wider panel<br>of analysis tools based on the<br>physical measurements of<br>radiation fields through the<br>analysis of manually uploaded<br>machine log files and manually<br>uploaded MatriXX measurement<br>files (MatriXX, FDA listing Number<br>D032576, IBA Dosimetry GmbH). |
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |
| Gamma analysis | Yes | Yes | |
| Patient QA report generation | Yes | Yes | |
| Server based | Yes | Yes | myQA iON can be accessed via<br>web-browser from any computer<br>connected to the (private)<br>network |
| | | | |
| | | | |
| | | | |
| Email notification | No | Yes | not required to fulfill myQA iON<br>intended use |
| | | | |
| Evaluation settings<br>modification | Yes | Yes | |
| | | | |
| Plan approval | Yes | Yes | |
| PDF export of patient QA<br>report | Yes | Yes | |
The differences between the products in the table above do not influence the safety and effectiveness of the myQA iON device nor does it prevent it from fulfilling its intended use.
The difference between myQA iON and the Mobius3D devices lies in the area of application. While both are designed to perform patient quality assurances tasks for radiation therapy, the Mobius3D focuses on radio-therapy whereas the myQA iON focuses on proton therapy.
We believe that in the present case, this difference is neglectable to prove substantial equivalence. Indeed, the clinical workflows are identical for both proton and radio-therapy patient quality assurance. In both cases, the treatment plan is created in DICOM format on the treatment planning system and exported to the quality assurance platform. The platform then computes an independent dose using a Monte Carlo dose engine and allows the user to complement the analysis by using machine irradiation log and ion chamber measurements at the isocenter.
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## 9. Environment of Use
The typical environment of use for myQA iON is the radiation therapy center. However, as myQA iON is a web application, the environment of use can vary depending on the location of the user.
# 10. Summary of Non-Clinical Test
IBA Dosimetry performed system and software level tests to assess the performance of the myQA iON product. The following tests have been provided in support of the substantial equivalence determination:
- . Risk Analysis Testing verifying the implementation of the identified hazard mitigation;
- . Software Testing verifying the correct software implementation;
- . Physics Testing verifying the correct behavior of the physics algorithms;
- Integration Testing verifying the correct integration of the different software components;
- . System Testing verifying the correct implementation of the clinical workflow;
- . Beta Testing validating the usability of the software.
# 11. Summary of Clinical Test
The subject of this premarket submission, the IBA Dosimetry myQA iON product, did not require clinical testing to support substantial equivalence to the predicate device.
# 12. Conclusion
The verification and validation activities ensure that the IBA Dosimetry myQA iON product provides substantial equivalence in terms of safety, effectiveness and performance to the predicate device.
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1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
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Exact 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.
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Reading rule for every project: how many summaries do you read in full?
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Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
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.
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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.
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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.
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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.