Simpleware ScanIP Medical is intended for use as a software interface and image segmentation system for the transfer of medical imaging information to an output file. It is also intended as pre-operative software for diagnostic and surgical planning. For these purposes, output files can also be used for the fabrication of physical replicas using traditional or additive manufacturing methods. The physical replicas can be used for diagnostic purposes in the field of orthopedic, maxillofacial and cardiovascular applications. The software is intended to be used in conjunction with other diagnostic tools and expert clinical judgment.
Device Story
Software interface and image segmentation system; imports medical images (e.g., CT, MRI); enables visualization, segmentation, measurement, and statistical analysis of 3D image data; exports digital 3D models for CAD or Finite Element (FE) packages; supports additive manufacturing (3D printing) of physical anatomical replicas. Used by clinicians for pre-operative diagnostic and surgical planning in orthopedic, maxillofacial, and cardiovascular fields. Operates on Windows and Linux platforms. Healthcare providers use output models to assist in surgical planning and diagnostic evaluation; complements other diagnostic tools and clinical judgment.
Clinical Evidence
No clinical tests were conducted. Evidence consists of software verification and validation per FDA guidance, including bench testing of measurement and model accuracy, and validation of the workflow from 3D image to printed model for cardiovascular, orthopedic, and maxillofacial applications.
Technological Characteristics
Software-only image processing system. Functions: image import, segmentation, 2D/3D visualization, measurement, statistics, and model export (CAD/FE/3D printing). Supports scripting in multiple languages. Platform: Microsoft Windows and Linux. Software Level of Concern: Moderate.
Indications for Use
Indicated for use as a software interface and image segmentation system for transferring medical imaging to output files, and as pre-operative software for diagnostic and surgical planning. Output files may be used for fabricating physical replicas for diagnostic purposes in orthopedic, maxillofacial, and cardiovascular applications. Intended for use with other diagnostic tools and expert clinical judgment.
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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April 1, 2021
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Synopsys (Northern Europe) Ltd. % Ms. Jessica James Business Process Analyst Bradninch Hall, Castle Street Exeter, Devon EX4 3PL UNITED KINGDOM
Re: K203195
Trade/Device Name: Simpleware ScanIP Medical Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: October 26, 2020 Received: October 28, 2020
Dear Ms. James:
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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# 6. Indications for Use Statement (Form FDA 3881)
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) | |
|--------------------------|---------|
| <s>Not known.</s> | K203195 |
Device Name Simpleware ScanIP Medical
#### Indications for Use (Describe)
Simpleware ScanlP Medical is intended for use as a software interface and image segmentation system for the transfer of medical imaging information to an output file. It is also intended as pre-operative software for diagnostic and surgical planning.
For these purposes, output files can also be used for the fabrication of physical replicas using traditive manufacturing methods. The physical replicas can be used for diagnostic purposes in the field of orthopedic, maxillofacial and cardiovascular applications.
The software is intended to be used in conjunction with other diagnostic tools and expert clinical judgment.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
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:
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"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."
FORM FDA 3881 (7/17)
Page 1 of 1
PSC Publishing Services (301) 443-6740 EF
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#### 4.3. Updated 510(k) Summary
# K203195
Synopsys Northern Europe Ltd.
Bradninch Hall, Castle Street
Exeter, EX4 3PL
United Kingdom
T +44 (0)1392 428750
F +44 (0)1392 428769
www.synopsys.com
# I. SUBMITTER
Simpleware Product Group, Synopsys (Northern Europe) Ltd.
Bradninch Hall, Castle Street, Exeter, EX4 3PL, UK
+44(0)1392 428750
Contact person: Jessica James
Summary prepared: 1st March, 2021
### II. DEVICE
Trade name: Simpleware ScanIP Medical; Simpleware ScanIP Medical, Simpleware ScanIP 3DP; Simpleware Scan3DP
Common name: Image processing system and preoperative software for simulating and evaluating surgical treatment options
Classification name: Picture Archiving and Communications System (21 CFR 892.2050)
Regulatory Class: II
Product Code: LLZ
Panel: Radiology
### III. PREDICATE DEVICE
Substantial equivalence is claimed between Simpleware ScanIP Medical and the following legally marketed device:
- Simpleware ScanIP (K142779). ●
Please note that the predicate device applicant 'Simpleware Ltd' and the subject device applicant Simpleware Product Group, Synopsys Northern Europe Ltd., are the same manufacturer - the change in name is the result of Simpleware Ltd. being acquired by Synopsys in 2016. The current device and facility listing for the predicate device is for the Simpleware Product Group, Synopsys Northern Europe.
### Device Description
Simpleware ScanIP Medical is image processing software that enables users to import, visualize, and segment medical images, and export digital 3D models. These models can be used in the software for pre-surgical tasks, and can also be used to produce output files suitable for additive manufacturing (3D printing). Simpleware ScanIP Medical also has functionality for transferring from and to third-party software packages.
Simpleware ScanIP Medical is a modular product, including the following functionalities:
- Import of medical images in various formats
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- Transferring files from and to computer-aided design (CAD) software packages
- Image filtering and segmentation tools
- . 2D and 3D visualization of image data and CAD drawings
- . Analysis, measurements, and statistics from 3D image data and CAD drawings
- Generating and exporting meshes to Finite Element (FE) packages.
- Generating and exporting models to CAD software ●
- Support for scripting in a number of programming languages
# Indications for Use
Simpleware ScanIP Medical is intended for use as a software interface and image segmentation system for the transfer of medical imaging information to an output file. It is also intended as pre-operative software for diagnostic and surgical planning.
For these purposes, output files can also be used for the fabrication of physical replicas using traditional or additive manufacturing methods. The physical replicas can be used for diagnostic purposes in the field of orthopedic, maxillofacial and cardiovascular applications.
The software is intended to be used in conjunction with other diagnostic tools and expert clinical judgment.
# Indications for Use Comparison
There are differences between the Indications for Use for the subject and predicate device.
Similarities include:
- The general purpose of diagnostic planning and pre-surgical planning remains the same ●
- There is no change in stated safety and effectiveness
The differences in the Indications for Use exist between the subject and predicate device will be presented and discussed below:
- The introduction of new intended applications is motivated by the expanded scope for 3D printing that can be used for diagnostic planning.
- The wording in the previous predicate statement on 'simulating/evaluating surgical treatment . options' has also been rephrased to "pre-operative software for measuring and treatment planning" to more clearly explain the device's diagnostic function. However, the meaning is the same.
- The description in the predicate device of transferring 'imaging information from a medical scanner such as a CT scanner or Magnetic Resonance Imaging scanner' has been simplified to 'the transfer of medical imaging to an output file', to reflect changes in state-of-the-art for the scope of uses of the software technology.
# Comparison of Technological Characteristics with Predicate Device
Detailed comparison between the subject and predict devices show that the subject device is substantially equivalent in intended use, design, functionality, operating principles, and performance characteristics to the predicate.
The technological similarities between the subject and predicate devices are:
- Both predicate and subject devices are versions of the same software
- Both predicate and subject devices are software interface and image segmentation systems for transferring medical imaging information to an output file, with the goal of being used as preoperative software, and for measuring and treatment planning
- Both predicate and subject device are considered to have a 'Moderate' Level of Concern .
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- . Both devices have equivalent image segmentation, measurement and model generation functionality
- . The subject device is a later version of the predicate device, following the same development practices and testing procedures, with verification and validation covering the same areas
- Validation of the subject device shows it to be equivalent in performance to the predicate device
The following technological differences exist between the subject and predicate device:
- Due to the change in scope of the intended use, the subject device's documentation explicitly . references and provides a validation method for the 3D printing of output files for diagnostic purposes in orthopedic, maxillofacial, and cardiovascular applications, whereas this was previously excluded in the predicate device
- o An additional hazard has also been created to reference specific risks and mitigation actions for this purpose
- Supported platforms: in addition to Microsoft Windows, the subject device is supported on . Linux.
- Minor software changes (when it comes to addressing the intended use) exist between the two versions of the same software
# Performance Data
Software verification and validation were carried out based on the "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices", including verification against defined requirements, validation to intended use, and bench testing.
Validation was carried out for the workflow of going from 3D image to printed model, demonstrating that the anatomical models for cardiovascular, orthopedic, and maxillofacial applications can be printed accurately when using compatible 3D printers. The intention of this testing is to demonstrate that the expanded scope does not raise new issues of safety and performance.
# Nonclinical Tests Relied on for Determination of Substantial Equivalence
Simpleware ScanIP Medical has been bench-tested for its intended use to determine substantial equivalence to the predicate device, including for validating measurement and model accuracy.
# Clinical Tests Relied on for Determination of Substantial Equivalence (if available)
No clinical tests were conducted to determine substantial equivalence.
# Conclusions
The characteristics determining functionality and performance of Simpleware ScanIP Medical are substantially equivalent to the device cleared under K142779:
- . Technological differences between the subject and predicate devices are non-substantial both in terms of functional differences and product development processes
- . Non-clinical bench-testing results demonstrate that the subject device is as safe, effective, and functional as the predicate device
- . The subject device's intended use is still broadly the same as the predicate device, functioning as a software interface and image segmentation system for the transfer of medical imaging information to an output file, and as pre-operative software for diagnostic and surgical planning.
- . The change in indications for use to explicitly include use of output files for diagnostic 3D printing is supported by validation testing
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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.