CARDIUS-1, CARDIUS-2, CARDIUS-3, 2020TC SPECT IMAGING SYSTEM
Applicant
Digirad Corp.
Product Code
KPS · Radiology
Decision Date
Oct 4, 2005
Decision
SESE
Submission Type
Special
Regulation
21 CFR 892.1200
Device Class
Class 2
Indications for Use
Cardius-1, Cardius-2, Cardius-3: The Cardius product models are intended for use in the generation of cardiac studies, including planar and Single Photon Emission Computed Tomography (SPECT) studies, in nuclear medicine applications. 2020tc SPECT Imaging System: The Digirad 2020tc SPECT Imaging system is intended for use in the generation of both planar and Single Photon Emission Computed Tomography (SPECT) clinical images in nuclear medicine applications. The Digirad SPECT Rotating Chair is used in conjunction with the Digirad 2020tc Imager™ to obtain SPECT images in patients who are seated in an upright position. Specifically, the 2020te Imager™ is intended to image the distribution of radionuctides in the body by means of a photon radiation detector. In so doing, the system produces images depicting the anatomical distribution of radioisotopes within the human body for interpretation by authorized medical personnel.
Device Story
Image Stabilization System (ISS) is an accessory for Digirad SPECT imaging systems (Cardius/2020tc). ISS consists of hardware mounted to the SPECT system and a software module. It detects and corrects patient motion in acquired SPECT data. The system automatically produces an 'Image Stabilized Patient Study' stored in the existing database alongside original data. Used in clinical settings by nuclear medicine technicians/physicians. Output is a motion-corrected image set, identical in file structure to original data, allowing compatibility with existing reconstruction/processing software. Benefits include improved image quality by mitigating motion artifacts, aiding physician diagnostic accuracy.
Clinical Evidence
Bench testing only. Verification and validation testing performed using phantom studies to analyze corrected image content. Results demonstrated that design outputs met design inputs and phantom image quality was similar to images processed with the predicate MoCo program.
Technological Characteristics
Hardware component mounts to SPECT system; software module integrates with proprietary Digirad Acquisition Software. Operates on standard PC architecture under Windows OS. Compatible with existing database and reconstruction software. No changes to core imaging hardware or file structures.
Indications for Use
Indicated for patients requiring cardiac or general nuclear medicine planar and SPECT imaging to visualize anatomical distribution of radioisotopes. Used by authorized medical personnel for diagnostic interpretation.
Regulatory Classification
Identification
An emission computed tomography system is a device intended to detect the location and distribution of gamma ray- and positron-emitting radionuclides in the body and produce cross-sectional images through computer reconstruction of the data. This generic type of device may include signal analysis and display equipment, patient and equipment supports, radionuclide anatomical markers, component parts, and accessories.
Predicate Devices
2020tc SPECT Imaging System and the SPECTour Chair (K982855)
Cardius-1 and Cardius-2 SPECT Imaging System (K030085)
Cardius-1, Cardius-2, Cardius-3, and 2020tc SPECT Imaging Systems (K051549)
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KD5243D
OCT 4 - 2005
# Appendix 2: 510(k) Summary
# A. Sponsor
Digirad Corporation 13950 Stowe Drive Poway, California 92064 Contact Person: Joel Tuckey Tel: (858) 726-1527 Fax: (858) 726-1700
#### B. Date Prepared: September 2, 2005
#### C. Device Name
Trade Name: Cardius-1, Cardius-2, Cardius-3, 2020tc SPECT Imaging System Classification Name: System, Emission Tomography
#### D. Description of Changes
The changes to the Digirad 2020tc and Cardius SPECT imaging cameras involve addition of an Image Stabilization System. The proposed Image Stabilization System is used to correct image studies for patient motion in SPECT data acquired with Digirad Nuclear medicine gamma camera systems. The Image Stabilization System consists of two parts: a Hardware component that mounts to the SPECT Imaging System, and a software module that collects data from the hardware and corrects the image data for motion. The resulting motion corrected patient study data is referred to as the Image Stabilized Patient Study. The Image Stabilization system may operate only with the above described Digirad Camera models and is compatible with proprietary Digitad Acquisition Software under the Windows Operating system and standard PC architecture.
The proposed Image Stabilization System performs substantially the same function as the currently cleared Cedar's Sinai Motion Correction Program (MoCo), cleared for use on Digirad SPECT Imaging Systems under Digirad 510(k) #K023110.
The proposed Image Stabilization System automatically produces an Image Stabilized Patient Study, corrected for patient motion, which is available in the existing database. The original image study is produced in an identical manner as in the previously cleared devices. Both studies are stored in the same patient record in the database. Additional minor changes were made to the User Interface screen.
The Image Stabilized Patient Studies produced by the proposed device are identical in file structure to the original, unmodified data set; therefore SeeQuanta 1.2 and the Image Stabilization System are fully compatible with the same database, reconstruction software, and processing software that is used with the "cleared" devices. Hence, there are no changes to these software modules.
This proposed optional software addition will be available to Digirad customers both integrated with the Digirad 2020tc SPECT Imaging System, and Cardius-1, Cardius-2, and
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Cardius-3 SPECT Imaging Systems, and separately as a retrofit device for existing Digirad Product Customers.
### ய் Intended Use
The intended uses of the Cardius and 2020tc cameras have not changed, and are summarized in the "Indications for Use" form included with this submission.
### F. Cleared/Predicate Device
The proposed change is a modification to the following Digirad cleared devices:
(1) 2020tc SPECT Imaging System and the SPECTour Chair (SPECT Imaging System), cleared on November 9, 1998 under 510(k) #K982855; and
- (2) Cardius-1 and Cardius-2 SPECT Imaging System cleared on February 5, 2003 under 510(k) #K030085.
- (3) Cardius-1, Cardius-2, Cardius-3, and 2020tc SPECT Imaging Systems cleared on July 13, 2005 under 510(k) #K051549
The Image Stabilization System Accessory when integrated with the cleared 2020tc and Cardius Model Digirad SPECT Imaging Systems has the same function as the following predicate devices: the Motion Correction function module of Mirage software device (Segami Corporation, #K972886) and Digirad Cedars-Sinai Motion Correction (MoCo) Software Program device (#K023110), which is currently used on the Digirad 2020tc and Cardius models SPECT imaging Systems to carry out patient motion correction to the postprocessed data.
Additionally, the proposed Image Stabilization System also performs the same functions as the MoCo Motion Correction Software in the following predicate devices: Cedars-Sinai BPGS and MoCo cleared under K010509 for GE/SMV America, and QPS/BPGS/MoCo Processing Applications cleared under K003264 for ELGEMS Ltd.
## Conclusions Drawn from Testing G.
Testing was performed to analyze the content of corrected phantom studies using the Image Stabilization Accessory integrated with the Digirad Cardius-1 camera. Also extensive Verification testing was completed on all cleared Digirad SPECT Imaging Systems integrated with the Image Stabilization Device to demonstrate that the design outputs met the design inputs of the proposed Image Stabilization Accessory Device. Testing included comprehensive phantom image verification and validation studies with modified acquisition software. All software test results met pre-defined acceptance criteria. The quality of the phantom images corrected with the Image Stabilization System with the modified acquisition software was similar to the quality of the images post-processed corrected using the MoCo Motion Correction program.
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Image /page/2/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" around the perimeter. Inside the circle is an abstract image of an eagle with three stylized wing feathers.
Public Health Service
OCT 4 - 2005
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
Mr. Joel Tuckey VP Quality Digirad Corporation 13950 Stowe Drive POWAY CA 92064-8803 Re: K052430 Trade/Device Name: Cardius-1, Cardius-2, Cardius-3, 2020c SPECT Imaging System Regulation Number: 21 CFR 892.1200 Regulation Name: Emission computed tomography system Regulatory Class: II Product Code: KPS Dated: September 2, 2005 Received: September 6, 2005
Dear Mr. Tuckey:
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.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), it may be subject to such 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); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for 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 contact the Office of Compliance at one of the following numbers, based on the regulation number at 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 807.97). You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/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 KD52430 510(k) Number (if known): nea Device Name: Cardius-1, Cardius-2, Cardius-3, 2020tc SPECT Imaging System
Indications for Use:
Cardius-1, Cardius-2, Cardius-3:
The Cardius product models are intended for use in the generation of cardiac studies, including planar and Single Photon Emission Computed Tomography (SPECT) studies, in nuclear medicine applications.
2020tc SPECT Imaging System:
The Digirad 2020tc SPECT Imaging system is intended for use in the generation of both planar and Single Photon Emission Computed Tomography (SPECT) clinical images in nuclear medicine applications. The Digirad SPECT Rotating Chair is used in conjunction with the Digirad 2020tc Imager™ to obtain SPECT images in patients who are seated in an upright position.
Specifically, the 2020te Imager™ is intended to image the distribution of radionuctides in the body by means of a photon radiation detector. In so doing, the system produces images depicting the anatomical distribution of radioisotopes within the human body for interpretation by authorized medical personnel.
Prescription Use (Part 21 CFR 801 Subpart D) AND/OR Over-The-Counter Use -------------(21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Daniel L. Suppron
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.