K023301 · Becton, Dickinson & CO · LON · Nov 12, 2002 · Microbiology
Device Facts
Record ID
K023301
Device Name
BD PHOENIX AUTOMATED MICROBIOLOGY SYSTEM
Applicant
Becton, Dickinson & CO
Product Code
LON · Microbiology
Decision Date
Nov 12, 2002
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.1645
Device Class
Class 2
Indications for Use
The BD Phoenix™ Automated Microbiology System is intended for the rapid identification and in vitro antimicrobial susceptibility testing of isolates from pure culture of most aerobic and facultative anaerobic Gram negative and Gram-positive bacteria of human origin.
Device Story
BD Phoenix System performs automated identification and antimicrobial susceptibility testing (AST) of bacterial isolates. Input: pure culture bacterial isolates inoculated into Phoenix panels containing biochemicals and antimicrobial agents. Principle: broth microdilution method using redox indicators and turbidity measurements to detect bacterial growth in presence of antimicrobials. Instrument incubates panels at 35°C, taking readings every 20 minutes. Output: identification of isolate, MIC values, and category interpretations (S, I, R). Used in clinical laboratories by trained personnel. Results assist clinicians in selecting appropriate antibiotic therapy for patients with bacterial infections.
Clinical Evidence
Bench testing and clinical validation performed. Clinical, stock, and challenge isolates tested across multiple US sites. Performance assessed via Essential Agreement (EA) and Category Agreement (CA) against NCCLS reference broth microdilution method. Reproducibility study (intra-site >90%, inter-site >95%) conducted using triplicate testing over three days. Results demonstrate performance equivalence to reference methods.
Technological Characteristics
System consists of instrument, software, and molded polystyrene panels with 136 micro-wells. Uses redox indicator and turbidity sensing for growth detection. Incubation at 35°C. Connectivity: automated instrument-based processing. Software performs data interpretation and MIC calculation.
Indications for Use
Indicated for in vitro quantitative determination of antimicrobial susceptibility (MIC) of Gram-negative aerobic/facultative anaerobic bacteria (Enterobacteriaceae and Non-Enterobacteriaceae) and Gram-positive bacteria (Staphylococcus and Enterococcus) from pure culture. Specifically for use with Oxacillin (0.0625-4.0 µg/mL) in Gram-positive ID/AST or AST-only panels.
Regulatory Classification
Identification
A fully automated short-term incubation cycle antimicrobial susceptibility system is a device that incorporates concentrations of antimicrobial agents into a system for the purpose of determining in vitro susceptibility of bacterial pathogens isolated from clinical specimens. Test results obtained from short-term (less than 16 hours) incubation are used to determine the antimicrobial agent of choice to treat bacterial diseases.
Special Controls
*Classification.* Class II (special controls). The special control for this device is FDA's guidance document entitled “Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA.”
Predicate Devices
VITEK® System (PMA No. N50510)
BD Phoenix™ Automated Microbiology System with Gatifloxacin (K020321)
BD Phoenix™ Automated Microbiology System with Ofloxacin (K020323)
BD Phoenix™ Automated Microbiology System with Levofloxacin (K020322)
Submission Summary (Full Text)
{0}------------------------------------------------
1023301
CONFIDENTIAL
## 510(k) SUMMARY
| SUBMITTED BY: | Becton, Dickinson and Company<br>7 Loveton Circle<br>Sparks, MD 21152<br>Phone: 410-316-4287<br>Fax: 410-316-4499 |
|------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CONTACT NAME: | Monica E. Giguere<br>Regulatory Affairs Specialist |
| DATE PREPARED: | October 2, 2002 |
| DEVICE TRADE NAME: | BD Phoenix™ Automated Microbiology System –<br>Oxacillin 0.625-4.0 µg/mL |
| DEVICE COMMON NAME: | Antimicrobial susceptibility test system-short incubation |
| DEVICE CLASSIFICATION: | Fully Automated Short-Term Incubation Cycle Antimicrobial<br>Susceptibility Device,<br>21 CFR 866.1645 |
| PREDICATE DEVICES: | VITEK® System (PMA No. N50510) and BD Phoenix™<br>Automated Microbiology System with Gatifloxacin (K020321,<br>May 23, 2002), Ofloxacin (K020323,<br>April 14, 2002), and Levofloxacin (K020322, March 27, 2002). |
| INTENDED USE: | The BD Phoenix™ Automated Microbiology System is<br>intended for the rapid identification and in vitro antimicrobial<br>susceptibility testing of isolates from pure culture of most<br>aerobic and facultative anaerobic Gram negative and Gram-<br>positive bacteria of human origin. |
#### DEVICE DESCRIPTION:
The BD Phoenix Automated Microbiology System (Phoenix System) is an automated system for the rapid identification (ID) and antimicrobial susceptibility testing (AST) of clinically relevant bacterial isolates. The system includes the following components:
- BD Phoenix instrument and software. ●
- . BD Phoenix panels containing biochemicals for organism ID testing and antimicrobial agents for AST determinations.
- . BD Phoenix ID Broth used for performing ID tests and preparing AST Broth inoculum.
- BD Phoenix AST Broth used for performing AST tests only. ●
- BD Phoenix AST Indicator solution added to the AST broth to aid in bacterial growth . determination.
{1}------------------------------------------------
The Phoenix panel is a sealed and self-inoculating molded polystyrene tray with 136 micro-wells containing dried reagents. Organisms for susceptibility testing must be a pure culture and preliminarily identified as a gram-negative or gram-positive isolate. For each isolation equivalent to 0.5 McFarland standard is prepared in Phoenix ID broth.
The Phoenix AST method is a broth based microdilution test. The Phoenix system utilizes a redox indicator for the detection of organism growth in the presence of an antimicrobial agent. Measurements of changes to the indicator as well as bacterial turbidity are used in the determination of bacterial growth. Each AST panel configuration contains several antimicrobial agents with a wide range of two-fold doubling dilution concentrations.
The instrument houses the panels where they are continuously incubated at a nominal temperature of 35°C. The instrument takes readings of the panels every 20 minutes. The readings are interpreted to give an identification of the isolate, minimum inhibitory concentration (MIC) values and category interpretations, S, I, or R (sensitive, intermediate, and resistant).
# DEVICE COMPARISON:
The BD Phoenix™ Automated Microbiology System demonstrated substantially equivalent performance when compared with the NCCLS reference broth microdilution method. This premarket notification provides data supporting the use of the BD Phoenix™ Automated Microbiology System Gram positive ID/AST or AST only Phoenix panels with Oxacillin.
## SUMMARY OF SUBSTANTIAL EQUIVALENCE TESTING:
The BD Phoenix™ Automated Microbiology System has demonstrated substantially equivalent performance when compared to the NCCLS reference broth microdilution method (AST panels prepared according to NCCLS M7). The system has been evaluated as defined in the FDA Draft guidance document, "Guidance on Review Criteria for Assessment of Antimicrobial Susceptibility Devices", March 8, 2000.
## Site Reproducibility
Intra- and inter-site reproducibility of Oxacillin in the BD Phoenix System was evaluated at three sites using a panel of gram-positive isolates. Each site tested the isolates in triplicate on three different days using one lot of Gram Positive Phoenix panels with Oxacillin and associated reagents.
The results of the study demonstrate for the antimicrobial Oxaciullin an overall intra-site reproducibility greater than 90% and an overall inter-site reproducibility greater than 95% for the gram-positive isolates tested.
## Clinical Studies
Clinical, stock and challenge isolates were tested across multiple geographically diverse sites across the United States to demonstrate the performance of the Phoenix antimicrobial susceptibility test with
{2}------------------------------------------------
the Gram Positive Phoenix Panel format containing Oxacillin. Phoenix System results for Challenge set isolates were compared to the expected results. Phoenix System results for clinical isolates were compared to the results obtained from the NCCLS reference broth microdilution method.
The performance of the Phoenix System was assessed by calculating Essential Agreement (EA) and Category Agreement (CA) to expected/reference results for all isolates tested. Essential Agreement (EA) occurs when the BD Phoenix™ Automated Microbiology System agrees exactly or within + one two-fold dilution to the reference result. Category Agreement (CA) occurs when the BD Phoenix™ Automated Microbiology System agrees with the reference method with respect to the FDA categorical interpretive criteria (susceptible, intermediate, and resistant).
Table 1 summarizes the performance for the isolates tested in this study.
# Table 1: Performance of BD Phoenix System for Gram-Positive Organisms by Drug
| Antimicrobial | oncentration<br>1 8 8 2 1 0 3 0 1 0 3 1 0 3 1 1 1 1 1 1 1 1 1 1 1 | t | C | | 9 |
|---------------|-------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----|---------------------|---|
| <br>xacıllın | 0 0675 | CAA<br>------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | AH | 1 AA 4<br>A for and | |
# Conclusions Drawn from Substantial Equivalence Studies
The data collected from the substantial equivalence studies demonstrate that testing on the BD Phoenix™ Automated Microbiology System with Oxacillin is substantially equivalent as outlined in the FDA draft guidance document, "Guidance on Review Criteria for Assessment of Antimicrobial Susceptibility Devices'', March 8, 2000. Technological characteristics of this system are substantially equivalent to those used in the VITEK® system, which received approval by the FDA under PMA number N50510 and BD Phoenix™ Automated Microbiology System with Gatifloxacin (K020321, May 23, 2002), Ofloxacin (K020323, April 14, 2002), and Levofloxacin (K020322, March 27, 2002),
{3}------------------------------------------------
# DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is a stylized image of three human profiles facing to the right, with flowing lines beneath them that resemble water or fabric.
Re:
Food and Drug Administration 2098 Gaither Road Rockville MD 20850
Ms. Monica E. Giguere, RAC Regulatory Affairs Specialist BD Diagnostic Systems Becton, Dickinson and Company 7 Loveton Circle Sparks, MD 21152
NOV 12 2002
k023301 Trade/Device Name: BD Phoenix™ Automated Microbiology Systems Oxacillin (0.0625-4.0 µg/ml) Regulation Number: 21 CFR 866.1645 Regulation Name: Fully Automated Short-Term Incubation Cycle Antimicrobial Susceptibility Devices Regulatory Class: Class II Product Code: LON Dated: October 2, 2002 Received: October 3, 2002
Dear Ms. Giguere:
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 (PMA), 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.
{4}------------------------------------------------
Page 2 -
This letter will allow you to begin marketing your device as described in your 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 and i additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4588. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR 807.97). Other general information on your responsibilities under the Act may be obtained 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/cdrb/dsma/dsmamain.html".
Sincerely yours,
Steven Sutman
Steven I. Gutman, M.D., M.B.A. Director Division of Clinical Laboratory Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{5}------------------------------------------------
Page 1 of 1
510(k) Number:
Device Name: BD Phoenix™ Automated Microbiology System for use with the antimicrobial agent Oxacillin (0.0625-4.0 µg/mL) - Gram positive ID/AST or AST only Phoenix panels.
Indications for Use:
The BD Phoenix™ Automated Microbiology System is intended for in vitro quantitative determination of antimicrobial susceptibility by minimal inhibitory concentration (MIC) of most gram-negative aerobic and facultative anaerobic bacteria isolates from pure culture for Enterobacteriaceae and Non-Enterobacteriaceae and most gram-positive bacteria isolates from pure culture belonging to the genera Staphylococcus and Enterococcus.
This premarket notification is for the addition of the antimicrobial agent Oxacillin at concentrations of 0.0625-4 ug/mL to Gram Positive ID/AST or AST only Phoenix panels. Oxacillin has been shown to be active in vitro against most strains of microorganisms listed below, as described in the FDA-approved package insert for this antimicrobial agent.
#### Active In Vitro and in Clinical Infections Against:
Aerobic Gram-positive microorganisms Staphylococcus spp.
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Roxanne Shively /s. Denise H. Poole
(Division Sign Off)
(Division Sign-Off)
Division of Clinical Laboratory Devices
510(k) Number K02 3301
Prescription Use (Per 21 CFR 801.109) Over-the-Counter Use
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.