K050376 · Medical Technologies International, Inc. · LLZ · Apr 7, 2005 · Radiology
Device Facts
Record ID
K050376
Device Name
PROWIN
Applicant
Medical Technologies International, Inc.
Product Code
LLZ · Radiology
Decision Date
Apr 7, 2005
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
The Prowin™ software program is a Windows-based application used on a personal computer intended for viewing carotid ultrasound images and measuring arterial wall thickness. It is specifically indicated for the measurement of carotid artery far and near wall intima-media thickness (IMT) from images obtained from an ultrasound system. A physician may use this information in conjunction with other medical data in the assessment of a patient's cardiovascular risk.
Device Story
Prowin™ is a Windows-based software application for personal computers; processes carotid artery ultrasound images to measure intima-media thickness (IMT). Input: ultrasound images transferred via various media (JPEG, BMP, TIFF, DICOM). Operation: proprietary algorithms identify arterial walls; software calculates IMT for near and far walls; generates reports. Usage: clinical setting; operated by physicians or trained personnel. Output: IMT values and reports used by physicians to assess cardiovascular risk. Benefit: provides objective, repeatable measurements (coefficient of variation <1%) to support clinical decision-making regarding patient cardiovascular health.
Clinical Evidence
Bench testing only. No clinical trials or patient studies were conducted. Performance was validated through measurement repeatability testing, demonstrating a coefficient of variation of <1%.
Technological Characteristics
Software-only device; runs on standard Windows-based personal computers. Supports JPEG, BMP, TIFF, and DICOM (DIC, DCM, ACR) image formats. Proprietary algorithm for automated IMT measurement. Standalone deployment. No specific hardware requirements beyond standard PC specifications.
Indications for Use
Indicated for measurement of carotid artery far and near wall intima-media thickness (IMT) from ultrasound images to assist physicians in assessing cardiovascular risk in patients.
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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K050376
#### 2005 APR 7 -
### 510(k) SUMMARY
This summary of safety and effectiveness is provided in accordance with 21 CFR 807.92.
Date of preparation: 14 February 2005
#### 1. Submitter
Medical Technologies International, Inc. ("MTI") 74-980 Highway 111 Indian Wells, California 92210 FDA Owner/Operator Number: 9062380
#### Contact
Gary F. Thompson, Chairman & CEO Medical Technologies International, Inc. 74-980 Highway 111 Indian Wells, California 92210 Phone: (760) 200-1179 Fax: (760) 200-1168 Email: gthompson@i-mti.com
#### 2. Device Identification
Tradename: Prowin™ Common name: Medical image measurement software Classification: 892.2050 - System, Image Processing, Radiological FDA has classified these devices as Class II devices under FDA Product Code LLZ.
#### 3. Substantial Equivalence
MTI believes that Prowin™'s measurement of IMT is substantially equivalent to other legally marketed products, specifically Intelligence in Medical Technologies' M'Ath® Std (K040686), SonoMetric Health's SonoCalc™ (K030223) and ATL Ultrasound's (d.b.a. Philips Ultrasound) QLAB™ software package (K021966) when the latter is used for the automated measurement of carotid intima-media thickness.
#### 4. Device Description
Prowin™ is a software program designed to measure carotid artery intimamedia thickness from ultrasound images. Prowin™ operates on a stand-alone personal computer running a Microsoft Windows™ operating system.
Carotid artery images from any ultrasound machine are transferred to the
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computer running Prowin™ by way of any media.
Following the transfer of images, Prowin™ uses proprietary, patent-pending r vilowing one trailerer of attammedia thickness (IMT) of the near and argoritimins of the carotid artery. The Prowin™ software enc has the capability to generate a report indicating the IMT value.
#### 5. Intended Use
The Prowin ™ software program is a Windows-based application used on a Firsonal computer intended for viewing carotid ultrasound images and measuring arterial wall thickness. It is specifically indicated for the measurement of carotid artery far and near wall intima-media thickness (IMT) from images obtained from an ultrasound system. A physician may (111) from in fromation in conjunction with other medical data in the assessment of a patient's cardiovascular risk.
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Image /page/2/Picture/4 description: The image contains two small, dark, indistinct shapes against a white background. The shapes are simple and lack detail, making it difficult to determine what they represent. The composition is minimalist, with the focus solely on these two isolated elements.
| CHARACTERISTIC | PRINCIPLE<br>DEVICE | PREDICATE<br>DEVICE | PREDICATE<br>DEVICE | PREDICATE<br>DEVICE |
|-----------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------|
| | MEDICAL<br>TECHNOLOGIES<br>INTERNATIONAL,<br>INC. (MTI)<br>PROWIN™ | INTELLIGENCE<br>IN MEDICAL<br>TECHNOLOGIES<br>(IMT)<br>M'ATH® STD<br>(K040686) | SONOMETRIC<br>HEALTH, LLC<br>SONOCALC™<br>(K030223) | ADVANCED<br>TECHNOLOGY<br>LABORATORIES<br>(ATL)<br>QLAB™<br>(K021966) |
| Intended Use | Automatic<br>measurement of<br>intima-media<br>thickness of<br>carotid arteries. | Automatic<br>measurement<br>of intima-<br>media<br>thickness of<br>carotid<br>arteries. | Automatic<br>measurement<br>of intima-<br>media<br>thickness of<br>carotid<br>arteries. | Automatic<br>measurement<br>of intima-<br>media<br>thickness of<br>carotid and<br>other arteries. |
| Image Source | Ultrasound<br>images | Ultrasound<br>images | Ultrasound<br>images | Ultrasound<br>images |
| Operating<br>environment,<br>system and<br>hardware | Stand-alone<br>application<br>program for use<br>on a personal<br>computer<br>operating with<br>Microsoft<br>Windows. | Stand-alone<br>application<br>program for<br>use on a<br>personal<br>computer<br>operating with<br>Microsoft<br>Windows. | Stand-alone<br>application<br>program for<br>use on a<br>personal<br>computer<br>operating with<br>Microsoft<br>Windows. | Stand-alone<br>application<br>program for<br>use on a<br>personal<br>computer<br>operating with<br>Microsoft<br>Windows. |
| Image Format | JPEG, Windows<br>BMP, TIFF, &<br>DICOM single<br>file formats<br>(DIC, DCM and<br>ACR) | AVI, JPEG,<br>GIF, TIFF,<br>BMP, PCX,<br>PCD, TGA,<br>EPS, IMG | JPEG &<br>Windows BMP | AVI, BMP,<br>TIFF, &<br>DICOM |
| Image Storage | Yes | Yes | Yes | Yes |
| Report Generation | Yes | Yes | Yes | Yes |
| Vascular Indices<br>Related to Patient<br>Database | Yes | Unknown | Yes (in<br>labeling) | No |
.
# 6. Comparison with substantially equivalent devices
:
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## 7. Performance Standards
There are no Section 514 performance standards for this class of device. The There are no becaller of i perfact to comply with the following voluntary standards:
- ISO Joint Photographic Experts Group (JPEG) Image .
- Microsoft Windows Bitmap (BMP) Image Encoding .
- TIFF standard lossless format encoding .
- DICOM single file images (DIC, DCM and ACR) as defined in the . ACR-NEMA DICOM working group in 1993.
- Data Translation images converted to BMP .
## 8. Performance Testing
As an indicator of measurement repeatability, data collected using Prowin™ As an marcator of model the coefficient of variation to be <1%.
#### 9. Conclusions
Based on available information, Prowin™ is substantially equivalent to predicate devices for viewing carotid ultrasound images and measuring prodicate are and thickness. The Prowin™ software application has the same intended use and incorporates the same basic features and benefits of the described predicate devices cleared through premarket notification without raising any new issues of safety or effectiveness.
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APR 7
2005
Image /page/4/Picture/1 description: The image shows the seal of the Department of Health & Human Services (HHS). The seal features a stylized eagle with three lines forming its body and wings. The eagle is positioned to the right of the text, which reads "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" in a circular arrangement around the seal. The text is in all capital letters.
Public Health Service
Food and Drug Administration
9200 Corporate Boulevard Rockville MD 20850
Medical Technologies International, Inc. % Mr. Marc Bozeman, Esq. Partner Hogan & Hartson, LLP Biltmore Tower, 500 South Grand Avenue Suite 1900 LOS ANGELES CA 90071
Re: K050376 Trade/Device Name: Prowin™ Medical Image Measurement Software Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: February 14, 2005 Received: February 14, 2005
Dear Mr. Bozeman:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced in We have reviewed your Scellon 510(x) prehement in the indications for use stated in
above and have determined the device is substantially equivalent (for the stated in above and have determined the devices marketed in interstate commerce prior to the enclosure) to legally marketed producted as a sendments, or to devices that have been May 28, 1976, the enactment and of the Federal Food, Drug, and Cosmetic Act (Act) that feclassified in accordance with the provisions al application (PMA). You may, therefore, market the A do not require approval of a prematic approval of the Act. The general controls provisions of the Act. device, subject to the general controls provisions of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket If your device is classified (see above) into entrols. Existing major regulations affecting your Approval), it they be subject to such additions, Title 21, Parts 800 to 898. In addition, FDA device can be tound in the code of concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that Please be advised that TDA 's Issualled of a subscannon vith other requirements of the Act or any
FDA has made a determination that your device complies with other requiremen FDA has made a delemination mar your do rise Federal agencies. You must comply with all the Federal statues and regulations administer of existerion and listing (2 CFR Part 807); labeling Act's requirements, including, but not thinked to regurements as set forth in the quality systems (QS) (21 CFR Part 801), good manufacturing product the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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This letter will allow you to begin marketing your device as described in your Section 5 (0(k) This letter will allow you to begin marketing your antine equivalence of your device to a legally
premarket notification. The FDA finding of substantial equivalence of your premarket notification. The FDA midnig of substantial organistics of your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please If you desire specific advice for your device on our labering roganized the top of this letter:
| 21 CFR 876.xxxx | (Gastroenterology/Renal/Urology) | 240-276-0115 |
|-----------------|----------------------------------|--------------|
| 21 CFR 884.xxxx | (Obstetrics/Gynecology) | 240-276-0115 |
| 21 CFR 892.xxxx | (Radiology) | 240-276-0120 |
| Other | | 240-276-0100 |
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Also, please note the regulation entitled, "thisoriation on your responsibilities under the Act from the 807.97). You may obtain other gelleral information on your respections at its toll-free number (800) DIVIsion of Cinal of (301) 443-6597 or at its Internet address 056-2041 Of (2017 v/cdrh/industry/support/index.html.
Sincerely yours,
Nancy C. Brogdon
Nancy C. Brogdon Director, Division of Reproductive, Abdominal, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use Statement
510(k) Number (if known): Not assigned at this time:
K050376
Device Name: Prowin™ Medical Image Measurement Software
Indications for Use: The Prowin™ software program is a Windows-based Indications for Use: "The frompter intended for viewing carotid ultrasound
application used on a personal cisi in the seconding indicated for the application used on a personal computer mess. It is specifically indicated for the images and measuring arterial wall theshios. "I has a media thickness (IMT) from
measurement of carotid artery far and near may as this information measurement of carold artery ial and noter neephysician may use this information
images obtained from an ultrasound system. A physician to for notient's images obtained from an ultrasound by on the assessment of a patient's cardiovascular risk.
Prescription Use __X_ (Part 21 C.F.R. 801 Subpart D) AND/OR
Over-The-Counter Use_ (21 C.F.R. 807 Subpart C)
## (PLEASE DO NOT WRITE BELOW THIS LINE -- CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Page ___ of _
Nancy C. Proydon
(Division Sian-Off) Division of Reproductive, Abdominal, and Radiological Devices 510(k) Number __
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.