K181264 · Philips Ultrasound, Inc. · LLZ · Jun 7, 2018 · Radiology
Device Facts
Record ID
K181264
Device Name
QLAB Advanced Quantification Software
Applicant
Philips Ultrasound, Inc.
Product Code
LLZ · Radiology
Decision Date
Jun 7, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device, 3rd-Party Reviewed
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
3D cardiac image quantification
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Indications for Use
QLAB Advanced Quantification Software is a software application package. It is designed to view and quantify image data acquired on Philips ultrasound systems.
Device Story
QLAB Advanced Quantification Software is a modular software application for viewing and quantifying ultrasound image data. It operates on standard PCs, dedicated workstations, or integrated into Philips ultrasound systems. The device utilizes Q-App modules to perform specific quantification tasks, including the Dynamic Heart Model (DHM) for tracking the entire cardiac cycle in 3D cardiac images. It features the HSDP Platform 2 for improved database management and Q-Store for shared central database access across multiple clients. Clinicians use the software for off-line review and analysis of ultrasound studies. The output provides quantitative measurements that assist healthcare providers in clinical decision-making and patient assessment. The system supports HTML5 reporting and remote database storage, facilitating workflow efficiency in clinical environments.
Clinical Evidence
No clinical data. Bench testing only. Software verification and validation activities were performed to establish performance, functionality, and reliability, demonstrating that the modified QLAB 11.0 software meets defined requirements and performance claims.
Technological Characteristics
Software-only application. Modular design using Q-App modules. HSDP Platform 2 architecture. Supports SQLite databases, HTML5 reporting, and remote storage. Connectivity includes networked shared database (Q-Store) and integration with Philips ultrasound systems. No physical materials or sterilization required.
Indications for Use
Indicated for clinicians requiring viewing and quantification of image data acquired on Philips ultrasound systems. Prescription use only.
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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Philips Ultrasound, Inc. % Mr. Mark Job Responsible Third Party Official Regulatory Technology Services, LLC 1394 25th Street. NW BUFFALO MN 55313
June 7th, 2018
Re: K181264
Trade/Device Name: OLAB Advanced Ouantification Software Regulation Number: 21 CFR 892,2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: May 11, 2018 Received: May 14, 2018
Dear Mr. Job:
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 of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (OS) 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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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 comprehensive regulatory information about medical devices and radiation-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.
Jeff Rygoz
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
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## Indications for Use
510(k) Number (if known) K181264
Device Name
QLAB Advanced Quantification Software
#### Indications for Use (Describe)
QLAB Advanced Quantification Software is a software application package. It is designed to view and quantify image data acquired on Philips ultrasound systems.
| Type of Use (Select one or both, as applicable) | |
|------------------------------------------------------------------------------------------------|------------------------------------------------------|
| <span style="text-decoration: underline;"></span> Prescription Use (Part 21 CFR 801 Subpart D) | <div> <input checked="true" type="checkbox"/> </div> |
| Over-The-Counter Use (21 CFR 801 Subpart C) | <div> <input type="checkbox"/> </div> |
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# Traditional 510(k) QLAB Advanced Quantification Software Modifications
# 510(k) Summary of Safety and Effectiveness
This summary of safety and effectiveness is provided as part of the Premarket Notification in compliance with 21CFR. Part 807, Subpart E, Section 807.92
1) Submitter's name, address, telephone number, contact person
| Philips Ultrasound, Inc. |
|--------------------------------|
| 3000 Minuteman Road |
| Andover, MA 01810-6302 |
| Email: penny.greco@philips.com |
| Tel: (508) 843-0282 |
| Fax (978) 975-7324 |
Secondary Contact: Zhengbin Xu Philips Ultrasound, Inc. Email: Zhengbin.xu@philips.com
Date prepared: March 21, 2018
2) Name of the device, including the trade or proprietary name if applicable, the common or usual name, and the classification name, if known:
| Common/Usual Name: | Picture archiving and communications system |
|----------------------|--------------------------------------------------------------------------------------|
| Proprietary Name: | QLAB Advanced Quantification Software |
| Classification Name: | 21 CFR 892.2050, system image processing, radiological<br>Product code LLZ. Class II |
3) Substantially Equivalent Devices
| Primary Predicate Device | | |
|-----------------------------------------------|---------|------------|
| QLAB Modifications | K171314 | 05/30/2017 |
| Reference Devices | | |
| QLAB Quantification Software with Heart Model | K130159 | 05/13/2013 |
| QLAB Quantification 10.0 Modifications | K132165 | 08/09/2013 |
Philips Ultrasound believes that the QLAB 11.0 modifications which are the subject of this 510(k) are substantially equivalent to QLAB K171314.
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# Traditional 510(k) QLAB Advanced Quantification Software Modifications
## 4) Device Description
Philips QLAB Advanced Quantification software (QLAB) is designed to view and quantify image data acquired on Philips ultrasound systems. QLAB is available either as a stand-alone product that can function on a standard PC, a dedicated workstation, and on-board Philips' ultrasound systems. It can be used for the off-line review and quantification of ultrasound studies.
QLAB software provides basic and advanced quantification capabilities across a family of PC and cart based platforms. QLAB software functions through Q-App modules, each of which provides specific capabilities.
QLAB builds upon a simple and thoroughly modular design to provide smaller and more easily leveraged products.
Philips Ultrasound is submitting this 510(k) to address QLAB 11.0 modifications which include:
- Dynamic Heart Model (DHM) an enhancement to the Heart Model Quantification ● application that provides tracking of the entire cardiac cycle
- QLAB functionality upgraded to the HSDP Platform 2 from the HSDP Platform 1 ●
- O-Store Shared central database supporting multiple clients. .
## 5) Intended Use
QLAB Advanced Quantification Software is a software application package. It is designed to view and quantify image data acquired on Philips ultrasound systems.
### 6) Technological comparison to predicate devices
The QLAB Advanced Quantification software with the modified Q-Apps has the same technological characteristics as the legally marketed device.
| Proposed QLAB Dynamic<br>Heart Model (DHM) | Currently Marketed<br>Predicate QLAB Heart<br>Model (K171314) | Explanation of Differences |
|-----------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| The DHM Q-App is<br>an application within<br>QLAB intended to<br>provide quantification<br>of 3D cardiac images | Heart Model | Dynamic Heart Model is an enhancement to<br>the current Heart Model (K171314/<br>K132165/K130159) application that<br>provides tracking of the entire cardiac<br>cycle and expands the measurements |
| HSDP Platform 2 | HSDP<br>Platform 1 | The HSDP platform has been upgraded to<br>platform 2 to provide customers with:<br>Better installation support. Ease<br>of use and support of non SQL<br>database (SQLite) Support for Remote database and<br>storage feature Support for advanced database<br>operations like rebuild, relocate<br>and recreate without having to<br>reinstall |
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# Traditional 510(k)
# QLAB Advanced Quantification Software
#### Modifications
| Proposed QLAB Dynamic<br>Heart Model (DHM) | Currently Marketed<br>Predicate QLAB Heart<br>Model (K171314) | Explanation of Differences |
|-----------------------------------------------------------------------------------------------------|---------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | | Better support for HTML5 reporting feature to make it seamless with on cart reporting Off the shelf integration with PSC (latest service tool platform) Philips identity UI support |
| Q-Store Shared central<br>database that supports multiple<br>clients. | No central database | Q-Store is a central database and storage solution. |
| QLAB Advanced Quantification Software is a software application package. It is designed to view and | | |
quantify image data acquired on Philips ultrasound systems. The currently marketed QLAB do not affect the safety and efficacy of the proposed QLAB 11.0 Advanced Quantification with Dynamic Heart Model application, the HSDP platform2 or Q-Store.
### 7) Determination of Substantial Equivalence
### Non-clinical performance data
No performance standards for PACS systems or components have been issued under the authority of Section 514. The QLAB 11.0 modifications were tested in accordance with Philips internal processes. Verification and software validation data support the proposed modified QLAB 11.0 software relative to the currently marketed unmodified QLAB software.
Design Control activities to assure the safe and effective performance of the modified O-Apps included, but were not limited to:
- · Requirements Review
- · Design Review
- · Risk Management
- Software Verification and Validation
Software Verification and Validation testing were used to support substantial equivalence of the modified QLAB 11.0 to the predicate device.
### Summary of Clinical Tests
QLAB 11.0 introduces no new indications for use, modes, features, or technologies relative to the predicate device (OLAB 10.8 K171314) that require clinical testing.
### 8) Conclusions
Software Verification and Validation activities required established the performance, functionality, and reliability characteristics of the modified QLAB software with respect to the predicate were performed. Testing performed demonstrated that the proposed OLAB 11.0 Advanced Quantification Software meets defined requirements and performance claims.
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# Traditional 510(k) QLAB Advanced Quantification Software Modifications
# 514 Performance Standards
There are no Sec. 514 performance standards for this device.
Prescription Status This is a prescription device. The prescription device statement appears in the labeling.
Sterilization Site(s)
Not applicable. QLAB Advanced Quantification is a software only 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.