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510(k) Data Aggregation

    K Number
    K202818
    Manufacturer
    Date Cleared
    2021-12-16

    (448 days)

    Product Code
    Regulation Number
    878.4400
    Reference & Predicate Devices
    Predicate For
    N/A
    Why did this record match?
    Reference Devices :

    K182244

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Voyant Fine Fusion device is a bipolar, electrosurgical device indicated for use with the Voyant electrosurgical generator in open procedures, including head and neck procedures, where the ligation and division of vessels and tissue bundles is desired.

    The device can seal and divide vessels up to and including 7mm in diameter and tissue bundles that can be captured in the jaws of the device.

    The device has not been shown to be effective for tubal sterilization or tubal coagulation for sterilization procedures, and should not be used for these procedures.

    Device Description

    The Voyant Fine Fusion device is an advanced bipolar instrument that uses RF energy, provided by the Voyant Electrosurgical Generator (K182244), to seal vessels up to and including 7mm in diameter. The device may also be used to seal tissue bundles that can be captured in the device jaws. The device features a mechanical, user-actuated blade for the division of sealed tissue.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and study information for the Voyant Fine Fusion Device (EB230), based on the provided FDA 510(k) summary:

    1. Table of Acceptance Criteria and Reported Device Performance

    Test TypeAcceptance CriteriaReported Device Performance
    EMC, Electrical Safety, and MechanicalIn accordance with relevant IEC 60601 series standards; continued performance over multiple device activations.Met all acceptance criteria. Simulated repeated-use testing on predicate sufficient.
    System Testing (Burst Pressure)Met predetermined acceptance criteria.Subject device met predetermined acceptance criteria and substantially equivalent to predicate.
    System Testing (Thermal Spread)Met predetermined acceptance criteria.Subject device met predetermined acceptance criteria and substantially equivalent to predicate.
    Animal Testing (Acute)Demonstrated safety and efficacy for thermal damage and cellular viability.Confirmed substantially equivalent performance to the predicate device.
    Animal Testing (Chronic Stability)Demonstrated long-term seal quality, device performance, and no adverse effects on adjacent structures.Met predetermined acceptance criteria. Confirmed substantially equivalent performance to the predicate device.
    Software VerificationEvaluated design, implementation, and performance of device software script.All levels of software testing conducted (unit, integration, system).
    BiocompatibilityMet all acceptance criteria per ISO 10993-1, 10993-5, 10993-10, 10993-11.Met all acceptance criteria for Cytotoxicity, Intracutaneous Reactivity, Sensitization, and Acute Systemic Toxicity.

    2. Sample Size Used for the Test Set and Data Provenance

    • System Testing (Burst Pressure): Not explicitly stated, but "vessels representative of the devices' indications" were used.
    • System Testing (Thermal Spread): Not explicitly stated.
    • Acute Animal Study: "Large porcine animal models" were used. The number of animals is not specified.
    • Chronic Survival Study: "Large porcine animal models" were used. The number of animals is not specified.
    • Data Provenance: The animal studies were conducted using porcine models, indicating prospective animal study data. The location of these studies is not specified, but the submission is to the U.S. FDA.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Their Qualifications

    • Acute Animal Study: "Functional staining techniques" were used, and "Samples were sent to a qualified histopathology laboratory for evaluation." The number and specific qualifications of the histopathologists are not provided.
    • Chronic Survival Study: "Vessels representative of the devices' indications were sealed and evaluated by a qualified histopathologist for hemostasis and signs of hematoma." The number and specific qualifications of the histopathologists are not provided.

    4. Adjudication Method for the Test Set

    The document does not explicitly describe an adjudication method for conflicting expert opinions. The evaluations were performed by "qualified histopathologists," implying a certain level of expertise, but no mention of multiple reviewers or a consensus process.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    No multi-reader multi-case (MRMC) comparative effectiveness study was mentioned. The studies focus on device performance characteristics rather than human reader improvement with AI assistance. This device is an electrosurgical tool, not an AI-assisted diagnostic or imaging device.

    6. Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study

    This is not applicable as the Voyant Fine Fusion device is an electrosurgical instrument for direct surgical use, not an AI algorithm. The software mentioned is for the device's internal control, not for diagnostic or analytical tasks that would typically involve standalone algorithm performance evaluation in the context of AI.

    7. Type of Ground Truth Used

    • System Testing (Burst Pressure & Thermal Spread): Objective measurements (burst pressure values, thermal spread measurements) of physical properties served as the ground truth.
    • Animal Studies (Acute & Chronic): Histopathological evaluation of tissue (cellular viability, hemostasis, signs of hematoma) by qualified histopathologists served as the ground truth for biological effects.

    8. Sample Size for the Training Set

    No training set is mentioned in the context of this device. The software verification refers to the internal software script of the device, not an AI model that undergoes training.

    9. How the Ground Truth for the Training Set Was Established

    Not applicable, as no training set for an AI model is mentioned for this electrosurgical device.

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    K Number
    K201212
    Date Cleared
    2020-06-05

    (31 days)

    Product Code
    Regulation Number
    878.4400
    Reference & Predicate Devices
    Predicate For
    N/A
    Why did this record match?
    Reference Devices :

    K182244, K162676, K141288, K172624

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Voyant Open Fusion Device is a bipolar, electrosurgical device indicated for use with the Voyant electrosurgical generator in open procedures where the ligation and division of vessels and tissue bundles is desired. The device can seal and divide vessels up to and including 7mm in diameter and tissue bundles that can be captured in the jaws of the device. The device has not been shown to be effective for tubal coagulation for sterilization for sterilization procedures, and should not be used for these procedures.

    The Voyant 5mm Fusion device is a bipolar, electrosurgical device indicated for use with the Voyant electrosurgical generator in open and laparoscopic procedures where the ligation and division of vessels and tissue bundles is desired. The device can seal and divide vessels up to and including 7mm in diameter and tissue bundles that can be captured in the jaws of the device. The device has not been shown to be effective for tubal coagulation for sterilization for sterilization procedures, and should not be used for these procedures.

    Device Description

    The Voyant Open Fusion and Voyant 5mm Fusion devices are advanced bipolar instruments that use RF energy, provided by the Voyant Electrosurgical Generator (K182244), to seal vessels up to and including 7mm in diameter. The devices may also be used to seal tissue bundles that can be captured in the devices' jaws. Each device features a mechanical, user-actuated blade for the division of sealed tissue.

    AI/ML Overview

    Here's an analysis of the provided text regarding the acceptance criteria and supporting studies for the Voyant Open Fusion Device and Voyant 5mm Fusion Device.

    It's important to note that the provided documents (FDA 510(k) summaries) typically focus on demonstrating substantial equivalence to a predicate device rather than presenting detailed, comprehensive reports on a device's standalone performance or comparative effectiveness studies with human readers. Therefore, some of the requested information may not be explicitly present or might be inferred from the context of a 510(k) submission.

    Acceptance Criteria and Reported Device Performance

    The documents state that both devices "met all acceptance criteria" and "met the predetermined acceptance criteria" for various tests. However, the specific quantitative acceptance criteria and the precise performance metrics achieved are not explicitly detailed in the provided text. The submission focuses on stating that the criteria were met, implying satisfactory performance relative to either internal company standards, recognized industry standards, or performance established by the predicate devices.

    Table 1: Acceptance Criteria and Reported Device Performance (Inferred)

    Test CategoryAcceptance Criteria (Inferred/General)Reported Device Performance
    Electromagnetic Compatibility (EMC)Compliance with relevant standards of IEC 60601 series.Met all acceptance criteria.
    Electrical SafetyCompliance with relevant standards of IEC 60601 series.Met all acceptance criteria.
    Mechanical Testing (Simulated Repeated-Use)Continued performance over multiple device activations.Met predetermined acceptance criteria.
    Burst Pressure TestingMaintain seal integrity under pressure for vessels up to 7mm.Met predetermined acceptance criteria.
    Thermal Spread TestingDemonstrate acceptable levels of thermal damage.Met predetermined acceptance criteria.
    Animal Testing (Chronic Survival Study)Evaluate long-term seal quality, device performance, and absence of adverse effects on adjacent structures (hemostasis, no hematoma).Met predetermined acceptance criteria.
    Software VerificationDesign, implementation, and performance of software scripts verified.Demonstrated substantially equivalent performance.

    Study Details

    1. Sample Sizes and Data Provenance

    • Test Set (Clinical/Animal):

      • Animal Testing: "large porcine animal models" were used. The exact number of animals or vessels tested is not specified.
      • Burst Pressure Testing: Used "vessels representative of the devices' indications." The number of vessels is not specified.
      • Data Provenance: The studies were conducted by Applied Medical Resources Corp. (presumably within the US, as they are a US-based company submitting to the FDA). The studies appear to be prospective in nature, designed specifically to test the devices.
    • Training Set (for Software/AI, if applicable): Not applicable. This device is an electrosurgical tool, not an AI/software-based diagnostic or imaging device in the sense that would require a large training dataset for pattern recognition. The software verification mentioned refers to the control software embedded within the device, not a machine learning algorithm trained on data. Therefore, questions 8 and 9 are not directly relevant in this context.

    2. Number of Experts and Qualifications for Ground Truth

    • Animal Testing: The evaluation of "hemostasis and signs of hematoma" would likely involve veterinary professionals or researchers with expertise in animal pathology and surgical outcomes. However, the number and specific qualifications of experts establishing ground truth are not provided in this summary.

    • Other Testing: For burst pressure, thermal spread, electrical safety, and mechanical testing, the ground truth is established by objective physical measurements and engineering standards, not typically by expert consensus in the same way as a diagnostic medical image.

    3. Adjudication Method for the Test Set

    Given the nature of the studies (engineering performance, animal model outcomes), formal adjudication methods like "2+1" or "3+1" (common in clinical trial assessments for subjective endpoints or equivocal findings) are not mentioned and generally not applicable to these types of objective performance tests. The results would be based on direct measurements and observations, typically verified by technical experts.

    4. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    • No: An MRMC comparative effectiveness study was not done. This type of study is typically performed for diagnostic devices (e.g., imaging AI) to assess how AI assistance impacts human reader performance in interpreting images or data. The Voyant devices are surgical tools, and their effectiveness is measured by their physical performance (sealing vessels, minimizing thermal spread), not by human interpretation of their output.

    5. Standalone Performance Study (Algorithm Only)

    • Yes (Implied for the device system): The performance testing described (burst pressure, thermal spread, animal studies, EMC, electrical safety, mechanical testing) assesses the device's inherent functionality and capabilities. While the software is a component, the "standalone" performance here refers to the device system itself without direct human "in-the-loop" decision-making augmentation, but rather as an operated tool. The software verification specifically assesses the algorithm/software components in a standalone context.

    6. Type of Ground Truth Used

    • Objective Measurements and Observation/Pathology in Animal Models:
      • Burst pressure: Objective physical measurements.
      • Thermal spread: Objective physical measurements/histology (implied).
      • EMC/Electrical Safety: Compliance with objective engineering standards.
      • Mechanical Testing: Objective performance metrics.
      • Animal testing: Direct observation of hemostasis and absence of hematoma, potentially supported by pathology or histological evaluation of tissue.

    7. Sample Size for the Training Set

    • Not applicable: As discussed above, this device does not utilize machine learning in a way that requires a "training set" of data for algorithm development. The "software" refers to control logic, not AI models.

    8. How Ground Truth for Training Set was Established

    • Not applicable: (See point 7).

    Summary of Gaps in Information (from the perspective of the original prompt):

    The provided 510(k) summary is designed to demonstrate substantial equivalence, not to provide a full scientific publication with detailed methodologies and results for each test. Key quantitative details like exact sample sizes for animal/vessel testing, specific numerical acceptance thresholds (e.g., minimum burst pressure in mmHg, maximum thermal spread in mm), and the precise qualifications of evaluators are not included in this high-level summary. This is typical for a 510(k) submission, where the focus is on the conclusion that acceptance criteria were met and substantial equivalence was achieved.

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    K Number
    K200598
    Date Cleared
    2020-04-08

    (30 days)

    Product Code
    Regulation Number
    878.4400
    Reference & Predicate Devices
    Predicate For
    Why did this record match?
    Reference Devices :

    K182244

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Voyant Maryland Fusion device is a bipolar, electrosurgical device indicated for use with the Voyant electrosurgical generator in open and laparoscopic procedures where the ligation of vessels and tissue bundles is desired. The device can seal and divide vessels up to and including 7mm in diameter and tissue bundles that can be captured in the jaws of the device.

    The device has not been shown to be effective for tubal coagulation for sterilization procedures, and should not be used for these procedures.

    Device Description

    The Voyant Maryland Fusion device is an advanced bipolar instrument that uses RF energy, provided by the Voyant Electrosurgical Generator (K182244), to seal vessels up to and including 7mm in diameter. The device may also be used to seal tissue bundles that can be captured in the device jaws. The device features a mechanical, user-actuated blade for the division of sealed tissue.

    AI/ML Overview

    Acceptance Criteria and Study for the Voyant Maryland Fusion Device

    This document describes the acceptance criteria and the studies that demonstrate the Voyant Maryland Fusion Device meets these criteria. It focuses on the information provided in the given text.

    1. Table of Acceptance Criteria and Reported Device Performance

    The provided text details various tests conducted for the Voyant Maryland Fusion device and states that the device "met the predetermined acceptance criteria" for each. However, the specific quantitative acceptance criteria for each test are not explicitly defined in the provided document. The performance is generally reported as meeting pre-determined criteria and being "substantially equivalent" to the predicate device.

    Acceptance Criteria (Explicitly stated or Inferred)Reported Device Performance
    EMC, Electrical Safety, and Mechanical Testing: (Inferred: Compliance with IEC 60601 series standards)Met all acceptance criteria.
    Simulated Repeated-Use Testing: (Inferred: Maintained performance over multiple activations)Met the predetermined acceptance criteria.
    System Testing - Burst Pressure: (Inferred: Vessel burst pressure within acceptable limits, comparable to predicate)Met the predetermined acceptance criteria and is substantially equivalent to the predicate device.
    System Testing - Thermal Spread: (Inferred: Thermal spread damage within acceptable limits, comparable to predicate)Met the predetermined acceptance criteria and is substantially equivalent to the predicate device.
    Animal Testing (Chronic Survival Study): (Inferred: Long-term seal quality, device performance, absence of adverse effects on adjacent structures, hemostasis, and signs of hematoma within acceptable limits)Met the predetermined acceptance criteria.
    Software Verification: (Inferred: Correct design, implementation, and performance of the device software script)(Outcome of unit, integration, and system level software testing, implying successful verification)

    2. Sample Size and Data Provenance

    • Test Set Sample Size: The exact sample sizes for each test are not explicitly mentioned in the provided text.
      • Burst pressure testing: "vessels representative of the devices' indications" were used.
      • Thermal spread testing: No specific sample size given for tissues.
      • Animal testing: "large porcine animal models" were used, but the number is not specified.
    • Data Provenance: The text does not specify the country of origin for the data. The studies appear to be prospective as they were conducted as part of the device evaluation for 510(k) submission.

    3. Number of Experts and Qualifications for Ground Truth

    The provided text does not mention the number of experts used to establish ground truth or their qualifications for any of the performance tests.

    4. Adjudication Method for the Test Set

    The provided text does not mention any adjudication method (e.g., 2+1, 3+1, none) for the test set.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    There is no mention of a Multi-Reader Multi-Case (MRMC) comparative effectiveness study being done. The document focuses on the performance of the device itself, not human reader performance with or without AI assistance.

    6. Standalone Performance Study

    Yes, a standalone study (algorithm/device only without human-in-the-loop performance) was completed for the Voyant Maryland Fusion device. The entire "Discussion of Performance Testing" section details laboratory and animal studies of the device's technical capabilities and clinical performance without human interaction being assessed as part of the primary endpoint.

    7. Type of Ground Truth Used

    • EMC, Electrical Safety, Mechanical Testing, Simulated Repeated-Use Testing, Software Verification: Ground truth for these tests would be based on engineering specifications, regulatory standards (e.g., IEC 60601 series), and predefined functional requirements.
    • Burst Pressure Testing: Ground truth would be based on quantitative measurement of burst pressure of the sealed vessels, likely compared to a control or predicate device, and potentially established physiological limits for vessel integrity.
    • Thermal Spread Testing: Ground truth would be based on quantitative measurement of tissue damage (e.g., area of necrosis), likely determined histologically or via thermal imaging, and compared to the predicate device.
    • Animal Testing: Ground truth would be based on direct observation of physiological outcomes (e.g., hemostasis, presence/absence of hematoma, long-term seal quality, adverse effects on adjacent structures) by veterinary professionals or researchers, potentially supported by pathology (e.g., histological examination of sealed tissues post-mortem).

    8. Sample Size for the Training Set

    The provided text does not mention any "training set." This type of terminology is typically associated with machine learning or AI algorithm development. The Voyant Maryland Fusion device is described as an electrosurgical device with an "updated software script," but not as an AI-powered diagnostic or assistive tool that would require a distinct training set for algorithm development. The software verification focuses on its design, implementation, and performance, not on learning from data.

    9. How the Ground Truth for the Training Set Was Established

    As there is no mention of a "training set" in the context of an AI/ML algorithm, this question is not applicable based on the provided document. The software verification was likely based on standard software engineering principles and testing against established functional requirements and specifications.

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    K Number
    K193292
    Date Cleared
    2019-12-20

    (23 days)

    Product Code
    Regulation Number
    878.4400
    Reference & Predicate Devices
    Predicate For
    Why did this record match?
    Reference Devices :

    K141288, K182244

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Voyant [5mm/Maryland] Fusion device is a bipolar, electrosurgical device indicated for use with the Voyant electrosurgical generator in open and laparoscopic procedures where the ligation of vessels and tissue bundles is desired.

    The device can seal and divide vessels up to and including 7mm in diameter and tissue bundles that can be captured in the jaws of the device.

    The device has not been shown to be effective for tubal sterilization or tubal coagulation for sterilization procedures, and should not be used for these procedures.

    Device Description

    The Voyant 5mm and Maryland Fusion devices are advanced bipolar instruments that uses RF energy, provided by the Voyant Electrosurgical Generator (K141288 & K182244), to seal vessels up to and including 7mm in diameter. The devices may also be used to seal tissue bundles that can be captured in the device jaws. The devices feature a mechanical, user-actuated blade for the division of sealed tissue.

    AI/ML Overview

    This FDA 510(k) summary for the Voyant 5mm Fusion Device and Voyant Maryland Fusion Device (K193292) does not contain information about a study with acceptance criteria and observed device performance in the way a clinical trial or algorithm performance study would.

    Instead, this document focuses on demonstrating substantial equivalence to previously cleared predicate devices (K141288, K172624, K182653). The core argument for safety and efficacy relies on the fact that the subject devices are identical in material and technological characteristics to the predicates, and thus, the existing performance, sterility, shelf life, and electrical testing of the predicate devices are leveraged.

    Therefore, the requested tables and details regarding sample sizes, expert ground truth, adjudication methods, MRMC studies, or standalone algorithm performance are not applicable to this specific submission as it's not a de novo study for a novel device or AI algorithm.

    However, I can extract the acceptance criteria and "results" as presented in the document based on the performance testing of the predicate devices, which are deemed sufficient for the subject devices due to identical design.

    Here's a breakdown of the information that is available (or not available) based on your request, framed within the context of substantial equivalence:

    1. Table of Acceptance Criteria and Reported Device Performance:

    Since this is a substantial equivalence submission based on identical design, the "acceptance criteria" are implied by the standards and successful results achieved by the predicate devices. The document states that the predicate devices "met all acceptance criteria" for the listed tests.

    Test Method (as performed on Predicate Devices)Implied Acceptance Criteria (Met "Pass")Reported Device Performance (for Predicate Devices)
    Biocompatibility:
    Cytotoxicity (per ISO 10993-5)Met ISO 10993-5 criteriaPass
    Intracutaneous Reactivity (per ISO 10993-10)Met ISO 10993-10 criteriaPass
    Sensitization (per ISO 10993-10, ASTM F2148)Met ISO 10993-10 / ASTM F2148 criteriaPass
    Electrical:
    IEC 60601-1 (General requirements for basic safety and essential performance)Met IEC 60601-1 standardsPass
    IEC 60601-1-2 (Electromagnetic compatibility)Met IEC 60601-1-2 standardsPass
    IEC 60601-2-2 (Particular requirements for the safety of high frequency surgical equipment)Met IEC 60601-2-2 standardsPass
    Mechanical Testing:
    Simulated repeated use testing (jaw force, electrical continuity)Maintained jaw force and electrical continuityPass
    Destructive jaw force testing (mechanical functionality and integrity of the jaw)Maintained mechanical functionality and integrityPass
    Bench Testing:
    Burst pressure testing on representative vesselsAchieved satisfactory burst pressurePass
    Thermal spread testing (evaluate thermal spread damage)Satisfactory thermal spread damage profilePass
    Animal Testing:
    Chronic survival study (chronic hemostasis and signs of hematoma)Demonstrated chronic hemostasis; no signs of hematomaPass

    2. Sample Size Used for the Test Set and Data Provenance:

    • Sample Size: Not specified in the document for any of the tests. The document refers to "representative vessels" and "surgical sites" for the bench and animal testing, respectively, but does not provide numbers.
    • Data Provenance: The data comes from prior testing associated with the predicate devices (K141288, K172624, K182653). The document does not specify the country of origin or if the studies were retrospective or prospective, though animal and bench testing are typically prospective experiments.

    3. Number of Experts Used to Establish Ground Truth and Qualifications:

    • Not Applicable. This submission is not evaluating an AI algorithm or diagnostic device requiring expert interpretation of results to establish ground truth. The tests are laboratory-based (biocompatibility, electrical, mechanical, bench) and animal studies, which have objective endpoints.

    4. Adjudication Method for the Test Set:

    • Not Applicable. As above, no expert consensus or adjudication process is described for these types of engineering and biological tests.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study:

    • No. This document does not describe any MRMC study. The device is an electrosurgical tool, not a diagnostic imaging device that would typically involve human readers.

    6. Standalone (Algorithm Only) Performance Study:

    • No. The device is a surgical instrument. This concept is not applicable.

    7. Type of Ground Truth Used:

    • For biocompatibility tests: Standardized laboratory assays based on cell viability, immune response, etc.
    • For electrical tests: Measurement against established IEC standards.
    • For mechanical tests: Objective measurements of force, integrity, and electrical continuity.
    • For bench testing: Measurements of burst pressure and thermal spread, which are objective physical parameters.
    • For animal testing: Histological examination, observation of hemostasis, and absence of hematoma, likely evaluated by veterinary pathologists or study investigators based on established criteria.

    8. Sample Size for the Training Set:

    • Not Applicable. This is not an AI or machine learning device that requires a training set.

    9. How Ground Truth for the Training Set Was Established:

    • Not Applicable.

    In summary: This 510(k) submission explicitly states that the subject devices are identical to predicate devices and therefore leverages the prior testing data of those predicates. It does not present new studies with a detailed breakdown of acceptance criteria and performance for a novel device or AI algorithm, but rather relies on the successful historical performance of prior substantially equivalent devices.

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    K Number
    K182653
    Date Cleared
    2018-11-14

    (50 days)

    Product Code
    Regulation Number
    878.4400
    Reference & Predicate Devices
    Predicate For
    Why did this record match?
    Reference Devices :

    K141288, K182244

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Voyant Maryland Fusion device is a bipolar, electrosurgical device indicated for use with the Voyant Electrosurgical Generator in laparoscopic procedures where the ligation of vessels and tissue bundles is desired.

    The device can seal and divide vessels up to and including 7mm in diameter and tissue bundles that can be captured in the jaws of the device.

    The device has not been shown to be effective for tubal coagulation for sterilization procedures, and should not be used for these procedures.

    Device Description

    The Voyant Maryland Fusion device (Model Numbers: EB015, EB016, EB017, EB215, EB216, EB217) is an advanced bipolar instrument that uses RF energy, provided by the Voyant Electrosurgical Generator (K141288, K182244), to seal vessels up to and including 7mm in diameter. The device may also be used to seal tissue bundles that can be captured in the device jaws. The device features a mechanical, user-actuated blade for the division of sealed tissue.

    AI/ML Overview

    This document is a 510(k) Premarket Notification from the FDA for a medical device, the Voyant Maryland Fusion Device. It focuses on demonstrating substantial equivalence to a predicate device rather than presenting a standalone study of the device's efficacy against a defined set of acceptance criteria in a clinical or diagnostic setting. Therefore, a direct answer to the prompt's request for "acceptance criteria and the study that proves the device meets the acceptance criteria" in the context of typical AI/diagnostic device validation cannot be fully provided from this document alone.

    However, based on the provided text, we can infer and construct some approximations related to performance testing in the context of device safety and efficacy demonstration for a 510(k) submission.

    Re-interpretation of Acceptance Criteria and Performance Study for a 510(k) Device:

    For a 510(k) device, "acceptance criteria" largely revolve around demonstrating substantial equivalence to a legally marketed predicate device in terms of intended use, technological characteristics, and safety and effectiveness. The "study that proves the device meets the acceptance criteria" refers to the non-clinical and, if applicable, clinical performance testing conducted to support this claim of substantial equivalence.

    Here's an attempt to answer your questions based on the provided document, acknowledging the limitations for a non-diagnostic device submission:


    1. Table of Acceptance Criteria and Reported Device Performance

    For this electrosurgical device, the acceptance criteria are implicitly related to demonstrating performance that is substantially equivalent to the predicate device, particularly in terms of vessel sealing and minimizing thermal spread. Specific quantitative acceptance criteria or thresholds are not explicitly listed in this summary, but the outcome of the tests indicates equivalence.

    Performance Metric (Acceptance Criteria)Reported Device Performance
    Burst Pressure (Vessel Sealing Quality)"The results of the study demonstrated that the subject has substantially equivalent performance to the predicate."
    Thermal Spread (Tissue Damage)"Analysis of the measurements demonstrated that the subject has substantially equivalent performance to the predicate."
    Long-term Seal Quality / Hemostasis"The result of the study demonstrated that the subject device met the predetermined acceptance criteria."
    Adverse Effect on Adjacent Structures"The result of the study demonstrated that the subject device met the predetermined acceptance criteria."
    Mechanical Integrity (Jaw Force)Tested to "verify the mechanical integrity of the subject device's jaws." (Implicitly, it met the requirements.)
    EMC and Electrical Safety"Designed and evaluated in accordance with relevant standards of the IEC 60601 series..." (Implicitly, it met standards.)
    Software Functionality and Performance"Unit, integration, and system level software testing were conducted to evaluate the design, implementation, and performance of the device software script." (Implicitly, it performed as designed.)

    2. Sample Sizes Used for the Test Set and Data Provenance

    • Test Set Sample Sizes: Not explicitly stated for any of the tests (burst pressure, thermal spread, chronic survival study). The document mentions "vessels representative of the devices' indications" were used.
    • Data Provenance: Not explicitly stated (e.g., country of origin). The studies appear to be pre-clinical (in vitro, ex vivo, or animal studies as implied by "chronic survival study") and retrospective as they are conducted for a regulatory submission. They are not human clinical trials in the traditional sense discussed for diagnostic AI.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications

    This information is not applicable in the context of this device and its 510(k) submission. The "ground truth" here is objective physical measurements (like burst pressure, thermal spread, mechanical force) or direct observation of biological outcomes (hemostasis, hematoma) in pre-clinical models, not expert interpretations of medical images or patient data.

    4. Adjudication Method for the Test Set

    This is not applicable. As there are no human readings or interpretations involved in establishing the "ground truth" (instead, it's objective physical or biological measurements), no adjudication method (e.g., 2+1, 3+1) is described or needed.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    This is not applicable. This is an electrosurgical device, not a diagnostic AI algorithm that assists human readers. Therefore, an MRMC study and effects on human reader performance are irrelevant.

    6. Standalone (i.e., Algorithm Only Without Human-in-the Loop Performance) Study

    This is not applicable in the sense of an "algorithm." The device itself has functionality (e.g., vessel sealing, tissue division). The performance studies conducted (burst pressure, thermal spread, chronic survival) are essentially "standalone" evaluations of the device's physical and functional capabilities, not an algorithmic output.

    7. Type of Ground Truth Used

    The ground truth used for performance evaluation appears to be:

    • Objective Biophysical Measurements: Burst pressure, thermal spread, mechanical jaw force.
    • Biological Outcome Data: Observation of hemostasis and absence of hematoma, and lack of adverse effects on adjacent structures from the "chronic survival study."
    • Compliance with Standards: Electrical safety and EMC standards (IEC 60601 series).

    8. Sample Size for the Training Set

    This is not applicable. This document describes an electrosurgical device, not an AI/machine learning model that requires a "training set." The "software script" mentioned is likely embedded control software, not adaptive AI.

    9. How the Ground Truth for the Training Set Was Established

    This is not applicable for the same reasons as point 8.

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