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510(k) Data Aggregation

    K Number
    K233703
    Date Cleared
    2024-04-26

    (161 days)

    Product Code
    Regulation Number
    882.4560
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Bone Anchor is intended to be used with commercially available stereotactic systems for intracranial and neurosurgical procedures which require accurate positioning of compatible small surgical instruments or accessories in the cranium, brain, or nervous systems. It is designed to provide short-term fixation and positioning of compatible neurosurgical instruments or accessories under image-guidance.

    Device Description

    The Bone Anchor is a single-use device for temporary short-term fixation of surgical tools or accessories during a single surgical procedure. The Bone Anchor may be used during image-guided or MR interventional procedures. This device is not intended to create a seal or barrier from potential infection and has not been tested for long-term (>24 hours) use. The Bone Anchor components are listed below along with their function:

    • Bone Anchor (Skull Device) A device that is inserted into the Skull that is used . to hold an instrument or accessory in place after is it inserted to the desired position. Part of the Skull Fixation Device protrudes from the Skull.
    • Bone Anchor Driver (Driver) An optional device used to position the Skull . Fixation Device into the skull.
    • Bone Anchor Silicone Seal A device within the Bone Anchor which is . compressed against the inserted instrument or accessory when the Cap is tightened, thereby holding the instrument or accessory in place.
    • Bone Anchor Cap A device which connects to the Bone Anchor and, when . tightened, compresses the Silicone Seal against the inserted instrument or accessory.
    • . Bone Anchor Cover - An optional device which is placed over the Cap when inserting a flexible instrument or other accessory and can be locked into place on the Cap to secure the accessory.
    AI/ML Overview

    The provided text is a 510(k) summary for the ClearPoint Neuro Bone Anchor, which focuses on demonstrating substantial equivalence to predicate devices rather than presenting a standalone study with specific acceptance criteria and detailed performance metrics. Therefore, many of the requested sections (e.g., sample size for test set, number of experts, adjudication method, MRMC study, ground truth for training set) are not available in this document.

    However, based on the information provided, here's what can be extracted:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document describes performance testing for the Bone Anchor and mentions testing for the predicate and reference devices. However, it does not explicitly
    state specific acceptance criteria or provide quantitative performance results (e.g., exact load values, push force values, or targeting error measurements) for the Bone Anchor, only noting that "meets all test specifications" for demonstrating substantial equivalence.

    Acceptance Criteria CategoryReported Device Performance
    Load TestingNot explicitly stated (Met test specifications)
    Push Force TestingNot explicitly stated (Met test specifications)
    Insertion Force TestingNot explicitly stated (Met test specifications)
    Retention Force TestingNot explicitly stated (Met test specifications)
    Removal Force TestingNot explicitly stated (Met test specifications)
    Driver Pull Force TestingNot explicitly stated (Met test specifications)

    Note: The document states that the subject device "meets all test specifications" and performs "as well as the predicate device" but does not provide the numerical values for these specifications or the device's performance against them. Similarly, for the predicate Microtable, it lists "Dimensional Stability" and "Load Testing" but no specifics. For the reference device, it lists the same tests as the subject device.

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

    The document does not specify the sample size used for the described performance testing. The provenance of the data (e.g., country of origin, retrospective or prospective) is also not mentioned.

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

    Not applicable. The document describes engineering and mechanical performance testing, not a study involving human experts establishing ground truth for clinical data.

    4. Adjudication Method for the Test Set

    Not applicable. This is not a clinical study involving human assessment of data.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    No, an MRMC comparative effectiveness study was not done. The document focuses on bench testing and comparison to predicate devices, not on human reader performance with or without AI assistance.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

    Not applicable. This device is a mechanical medical instrument, not an AI algorithm.

    7. The Type of Ground Truth Used

    For the performance testing mentioned (Load, Push Force, Insertion Force, Retention Force, Removal Force, Driver Pull Force Testing), the "ground truth" would be established by the engineering and mechanical testing standards and methodologies used to evaluate the device's physical properties and functionality. It is not based on expert consensus, pathology, or outcomes data in a clinical sense.

    8. The Sample Size for the Training Set

    Not applicable. This device is a mechanical instrument and does not involve AI/ML requiring a training set.

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

    Not applicable. As noted above, there is no training set for this type of device.

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    K Number
    K233141
    Device Name
    SmartFrame OR
    Date Cleared
    2024-01-12

    (107 days)

    Product Code
    Regulation Number
    882.4560
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The SmartFrame OR is intended to provide stereotactic guidance for the placement and operation of instruments or devices during planning and operation of neurological procedures performed in conjunction with the use of a compatible optical stereotaxic navigation system using preoperative MR and/or CT imaging. These procedures include biopsies, catheter placement and electrode introduction.

    Device Description

    The SmartFrame OR is a hardware-only precision trajectory aiming device for procedures conducted entirely in the traditional operating room and in conjunction with commercially available optical navigation systems such as Medtronic Stealth Station S8, or functionally equivalent optical navigation systems.

    The SmartFrame OR Stereotactic System tower consists of three assemblies. The reference bracket arm attaches to the skull mount and the trajectory aiming tower is attached to the mount once it is affixed to the patient skull. The ring assembly of the base is attached to the patient's skull. The socket assembly fits over the two retaining blocks on the ring assembly and is secured with the tower thumbscrews.

    The SmartFrame OR Kit consists of the following Components:

    • 1x SmartFrame OR Tower ●
    • 1x Device Guide, 2.1mm
    • 1x Centering Ring ●
    • 1x Dock ●
    • 1x Lock
    • 1x Lock (2.1mm) ●
    • 1x SNS Thumb Wheel Extension ●
    • . 1x Thumb Screw Pack

    The plastic tower assembly is designed to provide multi-directional orientation adjustments to the Device Guide, which is a guide tube encased in the center of the tower assembly. The Device Guide has a 14-gauge central lumen through which a peel away sheath can be placed and oriented.

    The tower, when attached to the base assembly, provides adjustments in the roll, pitch, x, and y directions by turning the appropriate thumb wheels. The thumb wheels on the SMARTFrame are used to maneuver the Device Guide by either direct or indirect physician contact.

    AI/ML Overview

    Acceptance Criteria & Device Performance:

    The primary acceptance criterion for the SmartFrame OR device appears to be its targeting accuracy, both in terms of positional error and trajectory angle error, as compared to the predicate device, Medtronic NexFrame.

    Here's a table summarizing the reported device performance against implicitly accepted criteria derived from the predicate device's performance:

    MetricAcceptance Criteria (based on Predicate - Medtronic NexFrame)Reported Device Performance (SmartFrame OR)
    Positional Error (Mean)≤ 1.48 mm1.36 mm
    Positional Error (99% CI Upper Bound)Not explicitly stated for predicate, but SmartFrame OR's value (1.57 mm) needs to be acceptable1.57 mm
    Trajectory Angle Error (Mean)Not explicitly stated for predicate0.67 degrees
    Trajectory Angle Error (99% CI Upper Bound)Not explicitly stated for predicate0.92 degrees

    Study Details:

    1. Table of Acceptance Criteria and Reported Device Performance: This has been provided above. The implied acceptance criteria for positional error is that the SmartFrame OR's performance should be at least as good as, if not better than, the predicate device (Medtronic NexFrame). The document states that the NexFrame's targeting accuracy is ±1.48 mm. The SmartFrame OR's mean positional error of 1.36 mm and 99% CI upper bound of 1.57 mm (after adding a 0.25mm measurement tool differential) suggests it performs comparably or better, meeting the implicit acceptance. For trajectory angle error, no direct predicate comparison is given in the table, but the reported values suggest the device performs within acceptable limits for its intended use.

    2. Sample Size Used for the Test Set and Data Provenance: The document does not explicitly state the sample size used for the benchtop accuracy testing. The provenance of the data is from bench testing conducted by ClearPoint Neuro, Inc., the device manufacturer. It is a controlled, prospective study in a laboratory setting, not real-world patient data.

    3. Number of Experts Used to Establish Ground Truth and Qualifications: The document does not mention the involvement of experts in establishing ground truth for the bench testing. Ground truth for the accuracy testing would have been established by the precise design specifications of the device and the accuracy of the measurement tools used in the benchtop environment, not through expert consensus on medical images.

    4. Adjudication Method for the Test Set: Not applicable. This was a benchtop accuracy test, not a subjective assessment of medical images requiring adjudication.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study: No, an MRMC comparative effectiveness study was not done. This device is a stereotaxic instrument, a hardware-only guidance system, not an AI or imaging diagnostic tool that would typically involve human readers. Therefore, there's no mention of how much human readers improve with AI assistance.

    6. Standalone Performance: Yes, the accuracy testing described is a standalone (algorithm/device only) performance evaluation. It measures the physical accuracy of the SmartFrame OR system itself in a controlled environment, without human intervention in the accuracy measurement process.

    7. Type of Ground Truth Used: The ground truth for the benchtop accuracy testing was derived from the physical specifications and measurements of the device's components and its ability to guide instruments to a precisely defined target. This is not
      expert consensus, pathology, or outcomes data. It is a calculated and measured ground truth based on engineering principles.

    8. Sample Size for the Training Set: The document does not mention a training set. This device is a hardware instrument, not a software algorithm or AI model that requires a training set for development.

    9. How Ground Truth for the Training Set Was Established: Not applicable, as there was no training set.

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    K Number
    K233144
    Date Cleared
    2024-01-12

    (107 days)

    Product Code
    Regulation Number
    882.4560
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ClearPoint Bone Screw Fiducials are intended to provide fixed reference point(s) in patients requiring stereotactic surgery in conjunction with CT imaging.

    Device Description

    The ClearPoint Bone Screw Fiducials are titanium bone screw fiducials that provide fixed reference points during neurosurgical procedures.

    The ClearPoint Bone Screw Fiducial Kit is provided sterile and is composed of the following:

    • 5x - ClearPoint Bone Screw Fiducials
    • 1x Bone Screw Fiducial holder
    • 1x Screwdriver

    The Bone Screw Fiducial is made of titanium and comprised of a threaded portion that is screwed into a patient's skull and a non-threaded, exposed length that protrudes from the patient's head. The head contains a feature for compatibility with a T8 Torx screwdriver and small divot positioned at the center of the spherical head which is used to center the pointer tip of a navigation tool.

    The Bone Screw Holder is intended to assist in holding the Bone Screw Fiducials securely to the screwdriver during anchoring. This is accomplished by allowing the screwdriver to mate with the Bone Screw Fiducial without the Bone Screw Fiducial separating from the assembly therefore allowing it to be anchored to the skull.

    AI/ML Overview

    The provided document is a 510(k) premarket notification for the ClearPoint Bone Screw Fiducials. It does not contain information related to software or AI/ML. The document describes a medical device, specifically bone screw fiducials, and compares them to a predicate device. The testing described is "bench testing" focusing on physical, performance, and safety requirements, and simulated workflow testing.

    Therefore, for aspects related to AI/ML or a multi-reader multi-case (MRMC) study, the answer will be that this document does not contain that information.

    Here's an analysis based only on the provided text, addressing the points where information is available:

    1. A table of acceptance criteria and the reported device performance

    The document states: "The results from all testing demonstrated that the ClearPoint Bone Screw Fiducials comply with all design and performance specifications."
    It also mentions: "ClearPoint Bone Screw Fiducials have been demonstrated to meet all test specifications and has been shown to be as safe, as effective, and to perform as well as the predicate device."

    However, the specific "acceptance criteria" and "reported device performance" metrics (e.g., specific thresholds for physical properties, accuracy in imaging, etc.) are not detailed within this document. The document summarizes that the device met these criteria but does not provide them in a table format.

    2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    The document describes "bench testing" and "simulated workflow testing." It does not specify sample sizes for these tests or discuss data provenance (country of origin, retrospective/prospective) in the context of clinical data or patient-derived data, as the device is physical hardware.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    This N/A. Ground truth, in the context of AI/ML, refers to expert-labeled data. The testing described is bench testing of a physical device. There is no mention of experts establishing a "ground truth" for imagery or diagnostic performance here.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    This N/A. No adjudication method is described, as the testing is for physical device performance, not interpretation of data by multiple readers.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    No MRMC comparative effectiveness study was conducted or mentioned in this document. This document is for a physical medical device (bone screw fiducials), not a software or AI/ML product.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    No standalone algorithm performance study was done or mentioned. This document is for a physical medical device.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    This N/A. For a physical device, "ground truth" typically refers to engineering specifications met through measurements and physical verification. The document states "Design Verification testing was performed relative to these specifications." These specifications serve as the "ground truth" for the device's physical and performance characteristics. There is no biological or diagnostic ground truth described in this submission.

    8. The sample size for the training set

    This N/A. There is no training set mentioned, as this is not an AI/ML device.

    9. How the ground truth for the training set was established

    This N/A. There is no training set mentioned, as this is not an AI/ML device.


    Summary regarding AI/ML aspects:

    The provided document describes a 510(k) premarket notification for a physical medical device (ClearPoint Bone Screw Fiducials). It relies on bench testing to demonstrate performance and substantial equivalence to a predicate device. The information requested regarding AI/ML-specific testing, such as MRMC studies, training/test set sizes, data provenance, expert ground truth establishment, and algorithm-only performance, is not relevant to this submission and therefore not present in the provided text.

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    K Number
    K233155
    Date Cleared
    2024-01-12

    (107 days)

    Product Code
    Regulation Number
    882.4560
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ClearPointer is intended to be used in conjunction with the SmartFrame OR System and a compatible stereotactic optical navigation system for patient registration and navigation.

    Device Description

    The ClearPointer Optical Navigation Wand is an optical tracker intended to be used with the SmartFrame OR Stereotactic System and ClearPoint Bone Screw Fiducials, both of which are subject of pending 510(k) submission. The ClearPointer is used in conjunction with a Medtronic StealthStation Navigation System to align the SmartFrame OR tower to the desired target. It is composed of 4 optical spheres and utilizes a sphere positional geometry that is recognizable by the Medtronic StealthStation S8 Optical navigation System. It is equipped with a Pointer attachment to allow for image registration and entry point location. The Pointer Attachment can also be removed from the Optical Tracker component, so that the Tracker can be mounted to a SmartFrame OR. The SmartFrame OR Hardware Kit is provided with the following components:

    • 1x ClearPointer™ ●
    • 1x Pointer Attachment ●
    • 1x Reference Array Bracket Arm ●
    • 1x Torx Screwdriver ●
    • 10x Reflective Spheres
    AI/ML Overview

    Here's a summary of the acceptance criteria and study information for the ClearPointer Optical Navigation Wand, based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance:

    Acceptance CriteriaReported Device Performance
    Instrument Error0.11 – 0.30 mm
    Registration Error0.2 – 0.6 mm

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

    The document does not specify the exact sample size used for the accuracy testing (benchtop testing). It only states that the testing was performed, but not how many measurements were taken or how many units of the device were tested.

    The data provenance is retrospective bench testing, as it describes the testing performed after the device was developed to verify design specifications. The country of origin for the data is not explicitly stated, but given that ClearPoint Neuro, Inc. is based in the US and is filing with the FDA, it can be inferred that the testing aligns with US regulatory standards.

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

    The document does not provide information on the number of experts used or their qualifications for establishing ground truth in the accuracy testing. The accuracy measurements (instrument and registration error) were likely determined through objective, quantifiable methods using precise measurement tools in a controlled benchtop environment, rather than expert interpretation of medical images or patient outcomes.

    4. Adjudication Method (e.g., 2+1, 3+1, none) for the Test Set:

    The document does not specify any adjudication method. Given that the listed tests are objective accuracy measurements (instrument error, registration error) conducted during bench testing, adjudication by multiple experts is not typically applicable in this context.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance:

    No, a Multi-Reader Multi-Case (MRMC) comparative effectiveness study was not done or reported in this document. The ClearPointer Optical Navigation Wand is a physical navigation instrument, not an AI-assisted diagnostic or interpretative tool for medical images, so an MRMC study involving human readers with and without AI assistance is not relevant to its stated purpose.

    6. If a Standalone (i.e. algorithm only without human-in-the-loop performance) was done:

    Yes, a standalone performance evaluation was conducted in the form of "benchtop accuracy testing." This testing measured the inherent accuracy of the device (instrument error and registration error) independent of human variability in a clinical setting, simulating a workflow with Stealthstation S8 software.

    7. The Type of Ground Truth Used (expert consensus, pathology, outcomes data, etc.):

    The ground truth used for the benchtop accuracy testing was based on objective, verifiable measurements of instrument and registration error against known or precisely controlled spatial references. It is not an expert consensus, pathology, or outcomes data, as these are typically associated with diagnostic or prognostic medical devices.

    8. The Sample Size for the Training Set:

    The document does not mention a training set because this device is a physical medical instrument, not a machine learning or AI algorithm that requires a training set.

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

    This question is not applicable as there is no training set for this device.

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    K Number
    K233243
    Date Cleared
    2023-11-27

    (60 days)

    Product Code
    Regulation Number
    882.4560
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ClearPoint System is intended to provide stereotactic guidance for the placement and operation of instruments or devices during planning and operation of neurological procedures within the MRI environment and in conjunction with MR imaging. During planning, the system is intended to provide functionality for the automatic identification, labeling, visualization and quantification of segmentable brain structures from a set of loaded MR images. The ClearPoint System is intended as an integral part of procedures that have traditionally used stereotactic methodology. These procedures include biopsies, catheter and electrode including deep brain stimulation (DBS) lead placement. The System is intended for use only with 1.5 and 3.0 Tesla MRI scanners and MR conditional implants and devices.

    Device Description

    The updated ClearPoint Software Version 2.2 integrates the ClearPoint Neuro Maestro Brain Model software (K213645) into the previous ClearPoint Software Version 2.1 (K222519). The ClearPoint Maestro™ Brain Model product is a stand-alone software application for automatic labeling, visualization, and quantification of segmentable brain structures from a set of MRI images and has been incorporated into the ClearPoint System software. The ClearPoint System described in this submission is essentially identical from a technological standpoint to the cleared predicate device described in K222519 (ClearPoint System). As mentioned above, since the prior clearance, the company has integrated the Maestro Brain Model into the software of the predicate device. Specifically, the company has released an updated version of software 2.1, which was part of the last clearance, and has now been upgraded to software 2.2.

    The ClearPoint System is comprised of a workstation laptop with software, the SMARTGrid™ MRI-Guided Planning Grid, the SMARTFrame™ MRI-Guided Trajectory Frame, the SMARTFrame™ Accessory Kit and the SMARTFrame™ Thumbwheel Extension. The SMARTGrid and associated Marking Tool are designed to assist the physician to precisely position the entry hole as called out in the trajectory planning software. The SMARTFrame is an Adjustable Trajectory Frame (ATF) that provides the guidance and fixation for neurosurgical tools. The MRI visible fluids of the Targeting Cannula along with the fiducial markers in the base of the frame allow for trajectory feedback when the physician views the MRI images, makes changes and confirms with subsequent MR images.

    The ClearPoint System can be used with any MRI-compatible head fixation frame to immobilize the patient's head with respect to the scanner table, as well as with any imaging coil(s) (supplied by scanner manufacturers) that meet the physician's desired imaging quality. ClearPoint Neuro also supplies an optional head fixation frame that can be used with the ClearPoint System.

    The ClearPoint Workstation includes the following:

    1. ClearPoint Workstation Software (for trajectory planning and monitoring)
    2. Laptop Computer

    The hardware components of the current ClearPoint System are the SMARTFrame and Accessories. They are all single use devices that are provided sterile and include the following:

    1. SMARTGrid MRI Planning Grid (interacts with the software to determine the desired location of the burr hole)
      a. Marking Grid
      b. Marking Tool
    2. SMARTFrame Pack (SMARTFrame or SMARTFrame XG)
      a. SMARTFrame ("ATF") with Base
      b. Centering Device and Wharen Centering Guide
      c. Dock
      d. Device Lock (2 different diameters)
      e. Screwdriver
      f. Roll Lock Screw and Washer
    3. Rescue Screws (Extra Titanium Screws)
    4. Thumbwheel Extension
    5. Accessory Kit
      a. Peel-away Sheath
      b. Stylet
      c. Lancet
      d. Depth Stop
      e. Ruler
    6. Scalp Mount Base
    7. Guide Tubes and Device Guide Packs (Guide Cannulas)

    In addition, the ClearPoint System is used with the following separately cleared or Class I, 510(k)-exempt products:
    SmartTip MRI Hand Drill and Drill Bit Kit
    MRI Neuro Procedure Drape, with Marker Pen and Cover
    SmartFrame MR Fiducial

    Each of the above packs is sold separately and is intended to be used with the ClearPoint Workstation. Each of the components has been described in detail in previous submissions. The ClearPoint System described in this 510(k) is a modification to the company's cleared ClearPoint System (K222519).

    AI/ML Overview

    The provide document primarily focuses on the substantial equivalence of the ClearPoint System (Software Version 2.2) to its predicate device (ClearPoint System Software Version 2.1) and the integration of functionalities from another cleared device (ClearPoint Maestro Brain Model K213645). While it mentions "Accuracy testing" and "acceptance criteria," the level of detail provided is insufficient to fully answer all aspects of your request, particularly regarding specific performance metrics for the integrated Maestro Brain Model functionalities, the study design for establishing ground truth, or details of multi-reader studies.

    However, based on the information provided, here's what can be extracted and inferred:

    1. A table of acceptance criteria and the reported device performance

    The document mentions "Accuracy testing was performed to confirm that modifications included in ClearPoint System 2.2 did not cause any unexpected changes in the accuracy specifications of the software, with successful results." The Table 2, "ClearPoint System Accuracy Specifications," appears to represent the device's demonstrated performance against an underlying (but unstated) acceptance criterion for accuracy.

    Acceptance Criterion (Inferred from Predicate Claims)Reported Device Performance (ClearPoint System Software Version 2.2)
    Positional Error (e.g., within a certain range like ±1.5 mm @ ≤125mm, as stated in the comparison table for Targeting Accuracy)Positional Error (mm)
    Mean (X,Y,Z): 0.14, 0.16, 0.56
    Std. Dev.: 0.37, 0.54, 0.57
    99% CI: 0.44, 0.60, 0.10
    Angular Error (e.g., within a certain angular tolerance)Angular Error (deg.)
    Mean: 0.32°
    Std. Dev.: 0.17°
    99% CI: 0.46°

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    The document does not explicitly state the sample size used for "Accuracy testing" or for the validation of the Maestro Brain Model functionalities. It broadly states "ClearPoint Neuro performed extensive Non-Clinical Verification Testing." No information on data provenance (country of origin, retrospective/prospective) is provided.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    The document does not provide details on the number or qualifications of experts used to establish ground truth for the test set. It mentions "Workflow for verifying the brain structure segmentation results" for the Maestro Brain Model functionality, which implies a human review process, but no specifics are given.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    The document does not specify any adjudication method used for the test set.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    The document does not mention any multi-reader multi-case (MRMC) comparative effectiveness study. The focus is on the integration of an existing cleared software and ensuring the overall system's accuracy specifications are maintained. The AI component (automatic segmentation of brain structures) is integrated, but its comparative effectiveness with human readers is not detailed.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    Yes, a standalone validation of the "Maestro Brain Model" functionality was likely already done as part of its original 510(k) clearance (K213645). The current submission states, "The inclusion of the Maestro Brain Model functionalities incorporates the functions of a standalone software product that has previously been subject of a cleared 510(k), (K213645)."

    While the specific standalone performance metrics for K213645 are not reproduced in this document, the fact that it was a "stand-alone software application for automatic labeling, visualization, and quantification of segmentable brain structures" implies that its performance as an algorithm-only component was evaluated during its initial clearance.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    The document does not explicitly state the type of ground truth used. For "Accuracy testing" related to positional and angular error, it typically involves phantom studies or precisely measured landmarks. For the brain structure segmentation, the "Maestro Brain Model" clearance (K213645) would have established its own ground truth, likely involving expert-drawn segmentations or anatomical atlases. The current submission only refers to the pre-existing clearance.

    8. The sample size for the training set

    The document does not provide any information regarding the sample size for the training set for any of the software's components, including the Maestro Brain Model.

    9. How the ground truth for the training set was established

    The document does not provide any information on how the ground truth for the training set was established. This information would typically be part of the original 510(k) submission for the Maestro Brain Model (K213645), which is referenced as a predicate, but not detailed here.

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