Fluobeam 800 Clinic Imaging Device used with Fluocase 800 Control System
DEN170092 · Fluoptics · QDG · Nov 2, 2018 · General, Plastic Surgery
Device Facts
Record ID
DEN170092
Device Name
Fluobeam 800 Clinic Imaging Device used with Fluocase 800 Control System
Applicant
Fluoptics
Product Code
QDG · General, Plastic Surgery
Decision Date
Nov 2, 2018
Decision
DENG
Submission Type
Direct
Regulation
21 CFR 878.4550
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
DEN170092 · Nov 2, 2018
Fluobeam 800 Clinic Imaging Device used with Fluocase 800 Control System
Fluoptics
Patient medical records; Intraoperative clinical observations; Routine surgical procedure data; Published clinical literature
The clinical evidence consists of five studies evaluating the device's performance in real-world surgical settings. The data were used to assess the device's ability to assist in parathyroid gland localization and its impact on clinical outcomes such as postoperative hypocalcemia, inadvertent parathyroid resection, and autotransplantation rates.
Cutting Edge in Thyroid Surgery: Autofluorescence of Parathyroid Glands; Prospective observational study of routine surgical cases; Follow-up/Duration: Intraoperative; Study Period: June 2015 - August 2015
28 patients undergoing thyroid or parathyroid surgery; Sample Size: 28; Number of Sites: 1
Not applicable for this study
Autofluorescence intensity of parathyroid, thyroid, and background tissues
Increased Identification of Parathyroid Glands using Near Infrared Light during Thyroid and Parathyroid Surgery; Prospective observational study; Follow-up/Duration: 6 months; Study Period: October 2015 - February 2016
74 patients undergoing thyroid and parathyroid surgery; Sample Size: 74; Number of Sites: 1
Direct visual inspection under white light
Number of parathyroid glands identified; fluorescent intensity
Impact of Autofluorescence-based Identification of Parathyroids During Total Thyroidectomy on Postoperative Hypocalcemia; Before and after controlled study; Follow-up/Duration: 6 months; Study Period: January 2015 - September 2016
513 patients undergoing total thyroidectomy; Sample Size: 513; Number of Sites: 1
Detection of Parathyroid Autofluorescence Using Near-Infrared Imaging: A Multicenter Analysis; Retrospective review; Follow-up/Duration: Intraoperative
210 patients undergoing thyroid and parathyroid surgery; Sample Size: 210; Number of Sites: 3
Direct visual inspection
Rate of detection of parathyroid glands
Intraoperative Near-infrared Imaging for Parathyroid Gland Identification by Auto-fluorescence: A Feasibility Study; Prospective feasibility study; Follow-up/Duration: Intraoperative; Study Period: December 2014 - March 2015
Patients undergoing thyroid or parathyroid surgery; Sample Size: 35; Number of Sites: 1
Not applicable for this study
Sensitivity and specificity of the device
Indications for Use
The Fluoptics Fluobeam® Imaging system is intended to provide real-time near infrared (NIR) fluorescence imaging of tissue during surgical procedures. The Fluoptics Fluobeam® Imaging system is indicated for use in capturing and viewing fluorescent images for the visual assessment of blood flow in adults as an adjunctive method for the evaluation of tissue perfusion, perfused organs, and related tissue-transfer circulation in tissue and free flaps used in plastic, micro- and reconstructive and organ transplant surgeries. The Fluoptics Fluobeam® Imaging system can also be used to assist in the imaging of parathyroid glands and can be used as an adjunctive method to assist in the location of parathyroid glands due to the auto-fluorescence of this tissue. Use of the Fluobeam® device is intended to assist. not replace, experienced visual assessment, and biopsy with conventional histopathological confirmation per standard of care. The system is not to be used to confirm the absence of parathyroid tissue or glands and is only to be used to assist in location of visually identified gland/tissues.
Device Story
Non-contact imaging system; captures NIR autofluorescence signals from parathyroid glands and blood flow. Optical head (750 nm laser excitation; NIR/white LEDs; CCD camera) connects to electrical case (Fluocase 800) for power/control. Software (Fluosoft) displays real-time images on panel PC. Used in OR by surgeons; provides visual feedback to assist in identifying parathyroid glands and assessing tissue perfusion. Adjunctive to standard visual inspection/histopathology; does not replace clinical judgment. Benefits include reduced transient postoperative hypocalcemia, inadvertent parathyroid resection, and autotransplantation rates. Does not provide diagnostic confirmation.
Clinical Evidence
No clinical data provided. Device classification supported by in vivo performance testing to characterize detection of autofluorescent signals, biocompatibility evaluation, and performance testing for electrical, mechanical, thermal, and laser/light safety.
Technological Characteristics
Optical head with 750 nm laser excitation, NIR LEDs, and white LEDs. CCD camera collects emissions >800 nm. Working distance 20-30 cm; field of view 2.2x1.5 cm to 20x14 cm. Connectivity via panel PC. Sterile use via disposable sheath (K850959). Complies with IEC 60601-1, IEC 60601-1-2, IEC 60601-1-6, IEC 60825-1, and EN 62471.
Indications for Use
Indicated for adults undergoing plastic, micro-, reconstructive, or organ transplant surgery for visual assessment of blood flow/tissue perfusion, and for adults undergoing thyroid or parathyroid surgery to assist in the location of parathyroid glands via autofluorescence. Not for diagnosis of parathyroid conditions (e.g., adenoma, carcinoma, hyperplasia) or differentiation of normal vs. pathologic tissue.
Regulatory Classification
Identification
An autofluorescence detection device for general surgery and dermatological use is an adjunct tool that uses autofluorescence to detect tissues or structures. This device is not intended to provide a diagnosis.
Special Controls
In combination with the general controls of the FD&C Act, the autofluorescence detection device for general surgery and dermatological use is subject to the following special controls:
*Classification.* Class II (special controls). The special controls for this device are:(1) In vivo testing under anticipated conditions of use must characterize the ability of the device to detect autofluorescent signals from tissues or structures consistent with the indications for use.
(2) The patient-contacting components of the device must be demonstrated to be biocompatible.
(3) Performance testing must demonstrate the electromagnetic compatibility and electrical, mechanical, and thermal safety of the device.
(4) Software verification, validation, and hazard analysis must be performed.
(5) Performance testing must demonstrate the sterility of patient-contacting components of the device.
(6) Performance testing must support the shelf life of device components provided sterile by demonstrating continued sterility and package integrity over the labeled shelf life.
(7) Performance testing must demonstrate laser and light safety for eye, tissue, and skin.
(8) Labeling must include the following:
(i) Instructions for use;
(ii) The detection performance characteristics of the device when used as intended; and
(iii) A shelf life for any sterile components.
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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.
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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.
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Reading rule for every project: how many summaries do you read in full?
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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?
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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.
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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.
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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.