Search Results

Hardware:
The Materialise Shoulder Guide and Models are intended to be used as a surgical instrument to assist in the intraoperative positioning of glenoid components used with total and reverse shoulder arthroplasty by referencing anatomic landmarks of the shoulder that are identifiable on preoperative CT-imaging scans.

The Materialise Shoulder Guide and Models are single use only.

The Materialise Shoulder Guide and Models can be used in conjunction with the following total and reverse shoulder implants systems and their respective compatible components:

• · DePuy Synthes'
• GLOBAL® APG+ Shoulder System (K052472)
• DELTA XTEND™ Reverse Shoulder System (K120174, K062250, K183077, K203694)
• GLOBAL® STEPTECH® APG Shoulder System (K092122)
• INHANCE™ Anatomic Shoulder System (K202716)1
• INHANCE™ Reverse Shoulder System (K212737)
• INHANCE™ Hybrid Anatomic Glenoid Implant (K212933)
• INHANCE™ Reverse Glenoid Peripheral Posts (K221467)
• INHANCE Convertible Glenoid (K230831)
• · Enovis'2 (DJO)
• Reverse® Shoulder Prosthesis (K051075, K111629, K092873)
• Turon® Shoulder System (K080402)
• AltiVate™ Anatomic Shoulder System (K162024)
• AltiVate™ Anatomic Augmented Glenoid (K213387, K222592)
• AltiVate™ Reverse Glenoid (K233481)
• · Smith+Nephew's3
• Titan™ Total Shoulder System (K100448, K112438, K142413, K152047)
• Titan™ Reverse Shoulder System (K130050, K161189, K173717, K181999)
• AETOS Total Shoulder System (K220847, K230572)
• AETOS Reverse Shoulder System (K220847, K230572)
• · Lima's
• SMR™ Shoulder System (K100858)
• SMR™ Reverse Shoulder System (K110598)
• SMR™ Modular Glenoid (K113254) (K143256)
• SMR™ 3-Pegs Glenoid (K130642)
• SMR™ TT Metal Back Glenoid (K133349)
• SMR TM 40mm Glenosphere (K142139)
• SMR™ TT Augmented 360 Baseplate (K220792)
• SMR™ TT Hybrid Glenoid (K220792)
• PRIMA TT Glenoid (K222427)

Software:
SurgiCase Shoulder Planner is intended to be used as a pre-surgical planner for simulation of surgical interventions for shoulder orthopedic surgery. The software is used to assist in the positioning of shoulder components. SurgiCase Shoulder Planner allows the surgeon to visualize, measure, reconstruct, annotate and edit pre-surgical plan data. The software leads to the generation of a surgery report along with a pre-surgical plan data file which can be used as input data to design the Materialise Shoulder Guide and Models.

Materialise Shoulder System™ is a patient-specific medical device that is designed to be used to assist the surgeon in the placement of shoulder components during total anatomic and reverse shoulder replacement surgery. This can be done by generating a pre-surgical shoulder plan and, if requested by the surgeon, by manufacturing a patient-specific glenoid guide and models to transfer the glenoid plan to surgery. The device is a system composed of the following:

• a software component, branded as SurgiCase Shoulder Planner. This software is a planning tool used . to generate a pre-surgical plan for a specific patient.
• Materialise Shoulder Guide and Models, which are a patient-specific quide and models that are based ● on a pre-surgical plan. This pre-surgical plan is generated using the software component. Patientspecific glenoid guide and models will be manufactured if the surgeon requests patient-specific guides to transfer the glenoid plan to surgery. The Materialise Shoulder Guide is designed and manufactured to fit the anatomy of a specific patient. A bone model of the scapula is delivered with the Materialise Shoulder Guide. A graft model can be delivered with the Materialise Shoulder Guide. The graft model visualizes the graft-space between implant and bone, based on the pre-operative planning of the surgeon. The graft model serves as a visual reference for the surgeon in the OR.

The provided FDA 510(k) summary (K242813) for the Materialise Shoulder System™ describes a submission seeking substantial equivalence to a previously cleared device (K241143). This submission is primarily for adding compatibility with new implant components rather than introducing a completely new AI capability or significant software change that would necessitate extensive new performance data. Therefore, the document does not contain the detailed information typically found in a study proving a device meets acceptance criteria for an AI/ML product.

Specifically, the document states:

• "The non-clinical performance data has demonstrated that the subject software technological differences between the subject and predicate devices do not raise any different questions of safety and effectiveness." (Page 9)
• "Software verification and validation were performed, and documentation was provided following the 'Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices.' This includes verification against defined requirements, and validation against user needs." (Page 10)
• "Previous testing for biocompatibility, sterility, cleaning, debris, dimensional stability and packaging are applicable to the subject device. Testing verified that the accuracy and performance of the system is adequate to perform as intended. The stability of the device placement, surgical technique, intended use and functional elements of the subject device are the same as that of the predicate device of Materialise Shoulder System™ K241143 and previously cleared devices... therefore previous simulated surgeries using rapid prototyped bone models and previous cadaver testing on previously cleared devices K153602 and K131559 are considered applicable to the subject device." (Page 10)

Given this, I cannot provide detailed answers to many of your questions as the submission relies on the substantial equivalence principle and prior testing rather than new, extensive performance studies for AI/ML.

However, I can extract what is available:

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

The document does not provide a specific table of quantitative acceptance criteria and reported device performance for the current submission (K242813), as it relies on the previous clearance and the assessment that the changes (adding implant compatibility) do not raise new safety or effectiveness concerns.

The general acceptance criterion mentioned is that the "accuracy and performance of the system is adequate to perform as intended." This was verified through previous testing, including "simulated surgeries using rapid prototyped bone models and previous cadaver testing."

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 mentions "previous simulated surgeries using rapid prototyped bone models and previous cadaver testing on previously cleared devices K153602 and K131559." It does not specify the sample size for these tests, nor the country of origin of the data or whether it was retrospective or prospective.

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 information is not provided in the document.

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

This information is not provided in the document.

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 such MRMC study is mentioned. The device is a "pre-surgical planner" and "surgical instrument" designed to assist the surgeon, but the provided text does not detail comparative effectiveness studies of human readers (surgeons) with and without the AI (planning software) assistance.

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

The software (SurgiCase Shoulder Planner) generates a pre-surgical plan which the "qualified surgeon" can "visualize, measure, reconstruct, annotate, edit and approve" (Page 9). This indicates a human-in-the-loop process. Standalone performance of the algorithm without human interaction is not discussed as it's not the intended use.

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

The document generally refers to "verification against defined requirements, and validation against user needs" and "accuracy and performance of the system is adequate to perform as intended" based on "simulated surgeries using rapid prototyped bone models and previous cadaver testing." This suggests a ground truth established through expert-defined surgical planning parameters and comparison to physical outcomes in the simulated/cadaveric environment, but specifics on how this ground truth was formalized (e.g., expert consensus on optimal planning, precise measurement validation) are not detailed.

8. The sample size for the training set

This device is a surgical planning tool and guides, not a deep learning AI model that requires a "training set" in the conventional sense for image classification or similar tasks. It is based on algorithms that process CT-imaging scans and anatomical landmarks to generate personalized plans and guides. Therefore, the concept of a "training set" for AI/ML is not applicable here in the way it would be for a pattern recognition AI. The software's robustness and accuracy are likely validated through extensive testing against various patient anatomies and surgical scenarios.

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

As explained above, the concept of a training set as typically understood for AI/ML models is not directly applicable to this device based on the provided information.

Ask a specific question about this device

Hardware:
The Materialise Shoulder Guide and Models are intended to be used as a surgical instrument to assist in the intraoperative positioning of glenoid components used with total and reverse shoulder arthroplasty by referencing anatomic landmarks of the shoulder that are identifiable on preoperative CT-imaging scans.
The Materialise Shoulder Guide and Models are single use only.
The Materialise Shoulder Guide and Models can be used in conjunction with the following total and reverse shoulder implants systems and their respective compatible components:

• DePuy Synthes'
• GLOBAL® APG+ Shoulder System (K052472)
• DELTA XTEND™ Reverse Shoulder System (K120174, K062250, K183077, K203694)
• GLOBAL® STEPTECH® APG Shoulder System (K092122)
• INHANCE™ Anatomic Shoulder System (K202716)1
• INHANCE™ Reverse Shoulder System (K212737)
• INHANCE Hybrid Anatomic Glenoid Implant (K212933)
• INHANCE Reverse Glenoid Peripheral Posts (K221467)
• Enovis'2 (DJO)
• Reverse® Shoulder Prosthesis (K051075, K111629, K092873)
• Turon® Shoulder System (K080402)
• AltiVate™ Anatomic Shoulder System (K162024)
• AltiVate™ Anatomic Augmented Glenoid (K213387)
• Smith+Nephew's3
• Titan™ Total Shoulder System (K100448, K112438, K142413, K152047)
• Titan™ Reverse Shoulder System (K130050, K161189, K173717, K181999)
• AETOS Total Shoulder System (K220847, K230572)
• AETOS Reverse Shoulder System (K220847, K230572)
• Lima's
• SMR™ Shoulder System (K100858)
• SMR™ Reverse Shoulder System (K110598)
• SMR™ Modular Glenoid (K113254) (K143256)
• SMR™ 3-Pegs Glenoid (K130642)
• SMR™ TT Metal Back Glenoid (K133349)
• SMR™ 40mm Glenosphere (K142139)
• SMR™ TT Augmented 360 Baseplate (K220792)
• SMR™ TT Hybrid Glenoid (K220792)
• PRIMA TT Glenoid (K222427)

Software:
SurgiCase Shoulder Planner is intended to be used as a pre-surgical planner for simulation of surgical interventions for shoulder orthopedic surgery. The software is used to assist in the positioning of shoulder components. SurgiCase Shoulder Planner allows the surgeon to visualize, measure, reconstruct, annotate and edit pre-surgical plan data. The software leads to the generation of a surgery report along with a pre-surgical plan data file which can be used as input data to design the Materialise Shoulder Guide and Models.

Materialise Shoulder System™ is a patient-specific medical device that is designed to be used to assist the surgeon in the placement of shoulder components during total anatomic and reverse shoulder replacement surgery. This can be done by generating a pre-surgical shoulder plan and, if requested by the surgeon, by manufacturing a patient-specific glenoid guide and models to transfer the glenoid plan to surgery. The device is a system composed of the following:

• a software component, branded as SurgiCase Shoulder Planner. This software is a planning tool used to generate a pre-surgical plan for a specific patient.
• Materialise Shoulder Guide and Models, which are a patient-specific guide and models that are based on a pre-surgical plan. This pre-surgical plan is generated using the software component. Patient-specific glenoid guide and models will be manufactured if the surgeon requests patient-specific guides to transfer the glenoid plan to surgery. The Materialise Shoulder Guide is designed and manufactured to fit the anatomy of a specific patient. A bone model of the scapula is delivered with the Materialise Shoulder Guide. A graft model can be delivered with the Materialise Shoulder Guide. The graft model visualizes the graft-space between implant and bone, based on the pre-operative planning of the surgeon. The graft model serves as a visual reference for the surgeon in the OR.

The provided text describes a 510(k) submission for the Materialise Shoulder System™, Materialise Shoulder Guide and Models, and SurgiCase Shoulder Planner. It indicates that this is a special 510(k) submission, meaning it's for a modification to a previously cleared device. Therefore, much of the performance data refers back to the predicate device and prior clearances.

Here's an analysis of the acceptance criteria and supporting study information based on the provided text:

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

The document does not explicitly state quantitative acceptance criteria or a direct table showing "acceptance criteria vs. reported device performance" for this specific 510(k) submission. Instead, for this special 510(k), the performance data mainly focuses on demonstrating that the changes (addition of new implant components to the software and hardware compatibility) do not raise new questions of safety and effectiveness compared to the predicate device.

The "performance data (non-clinical)" section highlights that:

• Hardware: Previous testing for biocompatibility, cleaning, debris, dimensional stability, and packaging is applicable. Accuracy and performance of the system were "adequate to perform as intended." Previous simulated surgeries and cadaver testing on earlier cleared devices are considered applicable.
• Software: Software verification and validation were performed "against defined requirements" and "against user needs," following FDA guidance.

Since this is a special 510(k) for an incremental change (adding compatibility with specific new implants), it's implied that the acceptance criteria are met if these additions do not negatively impact the established safety and effectiveness of the existing device, and the software development process meets regulatory standards.

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

• Hardware (previous testing cited): The document mentions "previous simulated surgeries using rapid prototyped bone models" and "previous cadaver testing on previously cleared devices K153602 and K131559." It does not specify the sample size for these previous studies (e.g., number of bone models or cadavers) or their provenance (country of origin), nor does it state if they were retrospective or prospective.
• Software (verification and validation): The document states "Software verification and validation were performed," but does not specify a separate "test set" in the context of clinical data or specific performance metrics with sample sizes for this particular submission. The V&V activities would involve testing against requirements and user needs, which could include various test cases and scenarios, but these are not quantified here as a "test set" size.

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 information is not provided in the document. The studies cited for hardware ("simulated surgeries" and "cadaver testing") and software ("verification and validation") do not detail the involvement of experts in establishing ground truth, their number, or specific qualifications. The software's function is to assist surgeons in planning, implying surgeon input in its use, but not explicitly in establishing a ground truth for a test set described in this submission.

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

This information is not provided in the document.

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 MRMC comparative effectiveness studies. The device (SurgiCase Shoulder Planner software component and Materialise Shoulder Guide and Models hardware component) is designed to assist surgeons in planning and component positioning, but the provided text does not contain data on whether human readers/surgeons improve with or without this specific AI assistance or effect sizes.

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

The document states that the SurgiCase Shoulder Planner is "intended to be used as a pre-surgical planner for simulation of surgical interventions for shoulder orthopedic surgery. The software is used to assist in the positioning of shoulder components." It also mentions, "SurgiCase Shoulder Planner allows the surgeon to visualize, measure, reconstruct, annotate and edit pre-surgical plan data." This indicates that the software is a human-in-the-loop device, where the surgeon is actively involved in the planning process and responsible for approving the plan. Therefore, a standalone (algorithm only) performance assessment, without human input, is unlikely to be the primary method of evaluation described or required for this type of device. The document does not provide such standalone performance data.

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 any specific test set related to this submission. For the hardware (guides and models), the "accuracy and performance" implies a comparison to a known standard or ideal, perhaps derived from anatomical models or surgical goals. For the software, "verification against defined requirements, and validation against user needs" suggests that the ground truth for V&V would be the successful adherence to these requirements and user expectations, which could involve internal expert review or adherence to pre-defined medical/engineering specifications. However, specific types of ground truth like pathology or long-term outcomes data are not mentioned.

8. The sample size for the training set

This information is not provided in the document. As the submission is for a special 510(k) updating compatibility, it's possible that the core algorithms were developed and trained previously, and details of their original training are not part of this specific submission. The focus here is on the impact of the changes to the device.

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

This information is not provided in the document. Similar to the training set size, the specifics of how the ground truth was established for the original training of any underlying algorithms are not included in this special 510(k).

Ask a specific question about this device

Hardware: The Materialise Shoulder Guide and Models are intended to be used as a surgical instrument to assist in the intraoperative positioning of glenoid components used with total and reverse shoulder arthroplasty by referencing anatomic landmarks of the shoulder that are identifiable on preoperative CT-imaging scans. The Materialise Shoulder Guide and Models are single use only. The Materialise Shoulder Guide and Models can be used in conjunction with the following total and reverse shoulder implants systems and their respective compatible components: DePuy Synthes', Enovis' (DJO), Smith+Nephew's, Lima's, Stryker's.

Software: SurgiCase Shoulder Planner is intended to be used as a pre-surgical planner for simulation of surgical interventions for shoulder orthopedic surgery. The software is used to assist in the positioning of shoulder components. SurgiCase Shoulder Planner allows the surgeon to visualize, measure, reconstruct, annotate and edit pre-surgical plan data. The software leads to the generation of a surgery report along with a pre-surgical plan data file which can be used as input data to design the Materialise Shoulder Guide and Models.

Materialise Shoulder System™ is a patient-specific medical device that is designed to be used to assist the surgeon in the placement of shoulder components during total anatomic and reverse shoulder replacement surgery. This can be done by generating a pre-surgical shoulder plan and, if requested by the surgeon, by manufacturing a patient-specific glenoid guide and models to transfer the glenoid plan to surgery. The device is a system composed of the following: a software component, branded as SurgiCase Shoulder Planner. This software is a planning tool used to generate a pre-surgical plan for a specific patient. Materialise Shoulder Guide and Models, which are a patient-specific guide and models that are based on a pre-surgical plan. This pre-surgical plan is generated using the software component. Patient-specific glenoid guide and models will be manufactured if the surgeon requests patient-specific guides to transfer the glenoid plan to surgery. The Materialise Shoulder Guide is designed and manufactured to fit the anatomy of a specific patient. A bone model of the scapula is delivered with the Materialise Shoulder Guide. A graft model can be delivered with the Materialise Shoulder Guide. The graft model visualizes the graft-space between implant and bone, based on the pre-operative planning of the surgeon. The graft model serves as a visual reference for the surgeon in the OR.

The provided text describes the regulatory clearance for the Materialise Shoulder System™ and mentions performance data, but it does not contain a detailed study proving the device meets specific acceptance criteria in the format requested.

The document is a 510(k) summary, which focuses on demonstrating substantial equivalence to a legally marketed predicate device rather than presenting a comprehensive standalone study with detailed effectiveness metrics.

Here's an analysis of the information that can be extracted, and what is missing based on your request:

1. Table of Acceptance Criteria and Reported Device Performance:

• Acceptance Criteria: Not explicitly stated in a quantitative manner for the performance of the AI component (SurgiCase Shoulder Planner) or the hardware (Materialise Shoulder Guide and Models) beyond ensuring it performs "as intended" and maintains accuracy.
• Reported Device Performance: The document states that "Testing verified that the accuracy and performance of the system is adequate to perform as intended." However, no specific performance metrics (e.g., accuracy, precision, sensitivity, specificity, or error margins) are provided for either the software for planning or the hardware for guiding.

2. Sample size used for the test set and the data provenance:

• Test Set Sample Size: Not specified for the software component (SurgiCase Shoulder Planner).
• Data Provenance: Not specified for any software testing.
• For Hardware: It refers to "simulated surgeries using rapid prototyped bone models and previous cadaver testing." No specific number of models or cadavers is provided, nor is the country of origin or whether it was retrospective or prospective.

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

• Number of Experts: Not specified.
• Qualifications of Experts: Not specified.

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

• Not specified.

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 study is mentioned. The document focuses on the planning and guidance aspect for surgeons, but not on a comparative study of human readers (surgeons) with and without AI assistance for diagnosis or planning accuracy.

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

• A standalone performance evaluation of the software's planning functionality is implied through the statement "Software verification and validation were performed, and documentation was provided following the 'Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices.'" However, no specific metrics or study details are provided. The software is described as a "planning tool used to generate a pre-surgical plan" and for "assisting the surgeon in positioning shoulder components," suggesting a human-in-the-loop workflow.

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

• Ground Truth Type: Not explicitly stated for the software. For the hardware, the use of "rapid prototyped bone models and previous cadaver testing" implies a physical ground truth for accuracy validation.

8. The sample size for the training set:

• The document does not mention a training set sample size, which is typical for AI/ML models. This suggests the software functionality described (planning, visualization, measurement) might not be based on deep learning/machine learning that requires explicit training data in the same way as, for example, an image classification algorithm. It seems to be a rules-based or physics-based planning software.

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

• As no training set is mentioned, the method for establishing its ground truth is also not provided.

In summary:

The provided text from the FDA 510(k) summary states that non-clinical performance testing indicates the device is as safe and effective as its predicate. It mentions software verification and validation and previous hardware testing (biocompatibility, sterility, cleaning, debris, dimensional stability, packaging, simulated surgeries, cadaver testing). However, it lacks the specific quantitative acceptance criteria and detailed study results (such as sample sizes, expert qualifications, clear performance metrics, ground truth establishment for software, and formal comparative effectiveness study results) that are typically expected when describing a study proving specific acceptance criteria in detail. This information is usually found in separate, more detailed technical documentation submitted to the FDA, not in the public 510(k) summary.

Ask a specific question about this device

The Materialise Shoulder Guide and Models are intended to be used as a surgical instrument to assist in the intraoperative positioning of glenoid components used with total and reverse shoulder arthroplasty by referencing anatomic landmarks of the shoulder that are identifiable on preoperative CT-imaging scans.

The Materialise Shoulder Guide and Models are single use only.

The Materialise Shoulder Guide and Models can be used in conjunction with the following total and reverse shoulder implants systems and their respective compatible components:

• Depuy Synthes'
  • GLOBAL® APG+ Shoulder System (K052472)
  • DELTA XTEND™ Reverse Shoulder System (K120174, K062250, K183077, K203694)
  • GLOBAL® STEPTECH® APG Shoulder System (K092122)
  • INHANCETM Anatomic Shoulder System (K202716)
  • INHANCE™ Reverse Shoulder System (K212737)
• DJO's
  • Reverse® Shoulder Prosthesis (K051075, K111629, K092873)
  • Turon® Shoulder System (K080402)
  • AltiVate™ Anatomic Shoulder System (K162024)
• Smith & Nephew's
  • Titan™ Total Shoulder System (K100448, K112438, K142413, K152047)
  • Titan™ Reverse Shoulder System (K130050, K161189, K173717, K181999)
• Lima's
  • SMRTM Shoulder System (K100858)
  • SMRTM Reverse Shoulder System (K110598)
  • SMRTM Modular Glenoid (K113254) (K143256)
  • SMR™ 3-Pegs Glenoid (K130642)
  • SMRTM TT Metal Back Glenoid (K133349)
  • SMR™ 40mm Glenosphere (K142139)
• Stryker's .
  • ReUnion RSA Reverse Shoulder System (K183039)
  • Reunion TSA Total Shoulder Arthroplasty System (K183039)

SurgiCase Shoulder Planner is intended to be used as a pre-surgical planner for simulation of surgical interventions for shoulder orthopedic surgery. The software is used to assist in the positioning of shoulder components. SurgiCase Shoulder Planner allows the surgeon to visualize, measure, reconstruct, annotate and edit pre-surgical plan data. The software leads to the generation of a surgery report along with a pre-surgical plan data file which can be used as input data to design the Materialise Shoulder Guide and Models.

Materialise Shoulder System™ is a patient-specific medical device that is designed to be used to assist the surgeon in the placement of shoulder components during total anatomic and reverse shoulder replacement surgery. This can be done by generating a pre-surgical shoulder plan and, if requested by the surgeon, by manufacturing a patient-specific glenoid guide and models to transfer the glenoid plan to surgery. The device is a system composed of the following:

a software component, branded as SurgiCase Shoulder Planner. This software is . a planning tool used to generate a pre-surgical plan for a specific patient.

Materialise Shoulder Guide and Models, which are a patient-specific quide and . models that are based on a pre-surgical plan. This pre-surgical plan is generated using the software component. Patient-specific glenoid guide and models will be manufactured if the surgeon requests patient-specific quides to transfer the glenoid plan to surgery. The Materialise Shoulder Guide is designed and manufactured to fit the anatomy of a specific patient. A bone model of the scapula is delivered with the Materialise Shoulder Guide. A graft model can be delivered with the Materialise Shoulder Guide. The graft model visualizes the graft-space between implant and bone, based on the pre-operative planning of the surgeon. The graft model serves as a visual reference for the surgeon in the OR.

I am sorry, but the provided text primarily consists of an FDA 510(k) clearance letter and summary for the Materialise Shoulder System. While it describes the device, its indications for use, and technological characteristics compared to a predicate device, crucial details regarding the acceptance criteria and the study proving the device meets those criteria (such as specific performance metrics, sample sizes for test sets, ground truth establishment, or clinical study designs like MRMC studies) are not present in the provided document.

The "Performance Data (non-clinical)" section briefly mentions software verification and validation, but it does not provide the specific "acceptance criteria" for performance or the details of the "study that proves the device meets the acceptance criteria" in the format requested. It mainly relies on demonstrating substantial equivalence to a predicate device based on similar technology and previous testing.

Therefore, I cannot fulfill your request to describe the acceptance criteria and the study proving the device meets them using only the information given in the input text. The information required for the table and the detailed study description is simply not provided in this regulatory document.

Ask a specific question about this device

Anatomic Total Shoulder or Hemi-Shoulder

The INHANCE SHOULDER SYSTEM with the humeral stemless anchor is intended for use in anatomic total shoulder replacement procedures to address the following:

• Osteoarthritis
• Post-traumatic arthrosis
• Focal avascular necrosis of the humeral head
• Previous surgeries of the shoulder that do not compromise the fixation

The INHANCE SHOULDER SYSTEM with a humeral stem is intended for use in anatomic total or hemi-shoulder replacement procedures to address the following:

• Non-inflammatory degenerative joint disease including osteoarthritis and avascular necrosis.
• Rheumatoid arthritis.
• Revision where other devices or treatments have failed.
• Correction of functional deformity.
• Fractures of the humeral head (with Short Humeral Stems)
• Fractures of the proximal humerus (with Standard or Long Stems)
• Difficult clinical management problems where other methods of treatment may not be suitable or may be inadequate.

Fixation Methods
The humeral stems are intended for cemented or cementless use. The humeral stemless anchor is intended for cementless use. The glenoid is intended for cemented use only.

The INHANCE™ Hybrid Anatomic Glenoid Implants are offered in five sizes: X-Small (21.5mm), Small (24.0mm), Medium (26.5mm), Large (29.0mm), and X-Large (31.5mm). The Glenoid Implants consist of a Cross-linked, Vitamin E Ultra High Molecular Weight Polyethylene (Cross-linked, VE UHMWPE) articulation surface and fixation ring along with an additively manufactured Ti-6Al-4V (titanium alloy) central fixation post.

The INHANCE™ Hybrid Anatomic Glenoid Implants have a lateral surface that is concave and designed to articulate with the Humeral Heads from the Ignite Anatomic Stemmed and Stemless Shoulder Systems that are indicated for use in total shoulder arthroplasty.

The provided document is a 510(k) summary for a medical device (INHANCE™ Hybrid Anatomic Glenoid Implant) and does not describe a study involving algorithms, AI, or human readers. Therefore, I cannot extract the requested information regarding acceptance criteria and studies that prove a device meets criteria in the context of AI/algorithm performance.

The document focuses on demonstrating substantial equivalence of a new glenoid implant to existing predicate devices based on non-clinical testing of mechanical properties, biocompatibility, and material characteristics.

The following points are explicitly stated in the document:

• Clinical Testing: "Clinical testing was not necessary to demonstrate substantial equivalence of the INHANCE™ Hybrid Anatomic Glenoid Implants to the predicate device."
• Studies performed are non-clinical, mechanical, and material evaluations.

Therefore, the questions regarding acceptance criteria and studies for AI/algorithm performance cannot be answered from the provided text.

Ask a specific question about this device

The Ignite Anatomic Shoulder System is intended for use in total or hemi-shoulder replacement procedures the following:

• · Non-inflammatory degenerative joint disease including osteoarthritis and avascular necrosis.
• · Rheumatoid arthritis.
• · Revision where other devices or treatments have failed.
• · Correction of functional deformity.
• · Fracture of the humeral head
• · Difficult clinical management problems, including cuff arthropathy, where other methods of treatment may not be suitable or may be inadequate.

Fixation Methods
The humeral stem is intended for cementless use. The glenoid is intended for cemented use only.

The Ignite Anatomic Shoulder System is total shoulder arthroplasty system consisting of humeral heads (38 - 57mm diameters), offset taper adapters (multiple offsets), stems (66-82mm lengths), and glenoid components (multiple sizes).

The anatomic humeral consists of a wrought Cobalt-Chromium Humeral Head, a wrought Ti-6Al-4V Taper Adapter, and an additively manufactured Ti-6Al-4V Stem.

The All-Poly Anatomic Glenoid consists of Crosslinked Alpha-Tocopherol (Vitamin-E) infused Ultra-High-Molecular-Weight-Polyethylene. This device also has a 316L stainless steel pin pressed into it as an x-ray marker.

The system is provided with a set of instruments designed for preparation of the implant site and insertion of the implants into bone.

The provided FDA 510(k) document is for the Ignite Anatomic Shoulder System, a medical device. This document describes the device itself and its equivalence to previously cleared devices. It does not contain information about an AI/ML powered device or a study involving acceptance criteria for such a device.

Therefore, I cannot provide the requested information regarding acceptance criteria, device performance tables, sample sizes, data provenance, expert ground truth establishment, adjudication methods, MRMC studies, standalone performance, or training set details.

The document explicitly states: "Clinical testing was not necessary to demonstrate substantial equivalence of the Ignite Anatomic Shoulder System to the predicate devices." This indicates that the regulatory clearance was based on non-clinical testing and comparison to predicate devices, not on a clinical study evaluating its performance against specific acceptance criteria in patient populations.

The "Non-Clinical Testing" section lists various mechanical and material-related tests (e.g., Range of Motion, Biocompatibility, Wear Testing, Fatigue Testing) conducted to demonstrate the device's substantial equivalence to predicate devices, but these are for the physical implant itself, not an AI/ML component.

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Hardware: The Materialise Glenoid Positioning System is intended to be used as a surgical instrument to assist in the intraoperative positioning of glenoid components used with total and reverse shoulder arthroplasty by referencing anatomic landmarks of the shoulder that are identifiable on preoperative CT-imaging scans.

Software: SurgiCase Shoulder Planner is intended to be used as a pre-surgical planner for simulation of surgical interventions for shoulder orthopedic surgery. The software is used to assist in the positioning of glenoid components. SurgiCase Shoulder Planner allows the surgeon to visualize, measure, reconstruct, annotate and edit pre-surgical plan data. The software leads to the generation of a surgery report along with a pre-surgical plan data file which can be used as input data to design the Materialise Glenoid Positioning Guide and Models.

Materialise Glenoid Positioning System is a patient-specific medical device that is designed to assist the surgeon in the placement of glenoid components.

This can be done by generating a pre-surgical plan or by generating a pre-surgical plan and manufacturing a patientspecific guide and models to transfer the plan to surgery. The device is a system composed of the following:

• a software component, branded as SurgiCase Shoulder Planner. This software is a planning tool used to ● generate a pre-surgical plan for a specific patient.
• a hardware component, branded as the Materialise Glenoid Positioning System™ Guide and Models, which is a patient specific guide and models that are based on a pre-surgical plan. This pre-surgical plan is generated using the software component. Patient-specific guide and models will be manufactured if the surgeon requests patient-specific guides to transfer the plan to surgery. The Materialise Glenoid Positioning System Guide is designed and manufactured to fit the anatomy of a specific patient. A bone model of the scapula is delivered with the Materialise Glenoid Positioning System Guide. A graft model can be delivered with the Materialise Glenoid Positioning System Guide.

The provided document (K190286) is a 510(k) Premarket Notification for the Materialise Glenoid Positioning System. This document describes the device, its intended use, and claims substantial equivalence to a predicate device (K172054). However, it does not contain the detailed acceptance criteria and the study results proving the device meets these criteria in the format requested.

The "Performance Data" section (page 5-6) explicitly states:
"Previous testing for biocompatibility, cleaning, debris, dimensional stability and packaging are applicable to the subject device and demonstrate substantial equivalence with the predicate device. Testing verified that the accuracy and performance of the system is adequate to perform as intended. The stability of the device placement, surgical technique, intended use and functional elements of the same as that of the predicate Materialise Glenoid Positioning System K172054 and previously cleared devices K170893, K1536559, and therefore previous cadaver testing on previously cleared devices K153602 and K131559 is considered applicable to the subject device."

This statement indicates that performance testing was conducted, and its results were deemed adequate. However, the details of those tests, including specific acceptance criteria, reported performance values, sample sizes, ground truth establishment, expert qualifications, and adjudication methods, are not present in this document. The document primarily relies on demonstrating substantial equivalence to previously cleared devices and states that "previous cadaver testing on previously cleared devices K153602 and K131559 is considered applicable to the subject device." This suggests that the detailed study results might be found in the 510(k) submissions for those predicate devices, rather than being explicitly laid out in this current submission.

Therefore, I cannot populate the table or provide specific details for most of your questions based solely on the text provided in K190286. The document focuses on regulatory justification for substantial equivalence, not a detailed scientific report of device performance trials.

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The Materialise Glenoid Positioning System is intended to be used as a surgical instrument to assist in the intraoperative positioning of glenoid components used with total and reverse shoulder arthroplasty by referencing anatomic landmarks of the shoulder that are identifiable on preoperative CT-imaging scans.

The Materialise Glenoid Positioning System can be used in conjunction with Stryker's ReUnion RSA Reverse Shoulder System (K130895) and its respective components, with DJO's AltiVate Anatomic Shoulder (K162024), Encore Shoulder System (K051075), Turon™ to RSP Conversion Shell (K111629), Turon™ Shoulder System (K080402) and Reverse® Shoulder prosthesis (K092873) and their respective components, and Lima's SMR Shoulder System (K100858), SMR Reverse Shoulder System (K110598), SMR Modular Glenoid (K113254), SMR 3-Pegs Glenoid (K130642), SMR TT Metal Back Glenoid (K133349), SMR 40mm Glenosphere (K142139) and SMR Modular Glenoid (K143256) and their respective components and Depuy Synthes' GLOBAL® APG+ Shoulder System (K052472), the DELTA XTEND™ Reverse Shoulder System (K120174, K062250) and the GLOBAL® STEPTECH® APG Shoulder System (K092122) and their respective components.

The Materialise Glenoid Positioning System guide is single use only.

Materialise Glenoid Positioning Guides are patient-specific medical devices that are designed to assist the surgeon in the placement of glenoid components.

This can be done by generating a pre-surgical plan or by generating a pre-surgical plan and manufacturing patientspecific guides to transfer the plan to surgery. The device is a system composed of the following:

• a software component, branded as SurgiCase Planner. This software is a planning tool used to generate a pre-surgical plan for a specific patient.
• a hardware component, branded as the Materialise Glenoid Positioning System™ guide, which is a patient specific guide that is based on a pre-surgical plan. This pre-surgical plan is generated using the software component. Patient-specific guides will be manufactured if the surgeon requests patient-specific guides to transfer the plan to surgery. The guide is designed and manufactured to fit the anatomy of a specific patient.

The Materialise Glenoid Positioning Guides must only be used within the intended use of the compatible components.

The provided text describes the 510(k) premarket notification for the Materialise Glenoid Positioning System. It claims substantial equivalence to a predicate device (K153602) and mentions performance data from previous testing. However, it does not contain the detailed acceptance criteria or the study that directly proves the device meets specific acceptance criteria in terms of quantitative performance metrics.

The text states: "Previous testing for biocompatibility, cleaning, debris, dimensional stability and packaging are applicable to the subject device and demonstrate squivalence with the predicate device. Testing verified that the accuracy and performance of the system is adequate to perform as intended. The stability of the device placement, surgical technique, intended use and functional elements of the same as that of the predicate Materialise Glenoid Positioning System (K153602), and therefore previous cadaver testing on predicate device K153602 and previously cleared device K131559 (which is the predicate for K153602) is considered applicable to the subject device."

This indicates that some performance evaluation was done for the predicate devices, and that information is being leveraged for the current submission. However, the specific acceptance criteria (e.g., maximum allowable deviation, accuracy thresholds) and the results of a study against those criteria for the current device are not presented in this document.

Therefore, I cannot provide a complete answer to your request based solely on the provided text. I will, however, outline what information is available and explicitly state what is missing.

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

This information is not explicitly provided in the document. The text states: "Testing verified that the accuracy and performance of the system is adequate to perform as intended." This is a qualitative statement, not a quantitative table of acceptance criteria and performance against those criteria.

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 mentions "previous cadaver testing on predicate device K153602 and previously cleared device K131559".

• Sample size: Not specified.
• Data provenance: Cadaver testing. Country of origin not specified.
• Retrospective/Prospective: Not specified, but cadaver testing is typically prospective for the purpose of the study.

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 information is not provided in the document.

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

This information is not provided in the document.

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

• MRMC study: Not mentioned. The device is a surgical instrument/guide, not typically an AI-driven image interpretation system that would involve "human readers" in the sense of diagnostic interpretation. It assists surgeons in positioning glenoid components based on preoperative planning.
• Effect size: Not applicable given the nature of the device and the lack of an MRMC study.

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

The device is a "patient specific guide that is based on a pre-surgical plan" and a "software component, branded as SurgiCase Planner. This software is a planning tool used to generate a pre-surgical plan for a specific patient." The "Materialise Glenoid Positioning System guides are patient specific templates which transfer the pre-operatively determined pin positioning to the patient intraoperatively, assisting the surgeon."

This indicates a human-in-the-loop process where a qualified surgeon inspects, fine-tunes, and approves the pre-surgical plan generated by the software. Therefore, a purely standalone algorithm-only performance as an output without human involvement is not the intended use model described. However, the accuracy of the output of the software (the surgical plan and subsequent guide design) would have been validated, which is essentially a standalone performance evaluation of the software component's mathematical and geometrical accuracy. The details of this validation are not in the document.

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

Given the "cadaver testing" and the nature of the device (positioning guide), the ground truth for measuring accuracy would likely be physical measurements against an intended planned position or anatomical landmark, potentially established by expert surgeons or precise measurement tools. However, the specific method of establishing this ground truth is not detailed in the document.

8. The sample size for the training set

The document describes premarket notification for a medical device that includes "a software component" for planning and "a hardware component" (patient-specific guide). It mentions "previous cadaver testing" which sounds more like a validation/testing stage rather than training for a machine learning model. If the software component involves machine learning or AI, the training set details are not provided. The text focuses on the device being "substantially equivalent" to a predicate, implying that much of the foundational validation comes from the predicate's testing.

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

As described in point 8, a "training set" in the context of machine learning is not explicitly mentioned, and thus how its ground truth was established is not provided. If the software uses algorithms that are not machine learning-based, then the concept of a training set as typically defined for AI may not apply. The emphasis is on the software generating a "pre-surgical plan" and its accuracy.

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The INTEGRA® TITAN™ Modular Total Shoulder System Fin-Lock™ Glenoid is intended for use in Total Shoulder Arthroplasty which is indicated for:

1. Severely painful and/or disabled joint resulting from osteoarthritis, traumatic arthritis or rheumatoid arthritis.
2. Fracture dislocations of the proximal humerus where the articular surface is severely comminuted, separated from its blood supply or where the surgeon's experience indicated that alternative methods of treatment are unsatisfactory.
3. Other difficult clinical problems where shoulder arthrodesis or resection arthroplasty are not acceptable (e.g. – revision of a failed primary component)
   The humeral component is intended for cemented or uncemented use.
   The glenoid component is intended for cemented use only.

The Integra TITAN™ Modular Total Shoulder System Fin-Lock™ Glenoid is a fully cemented all highly cross-linked polyethylene glenoid used in total shoulder arthroplasty for resurfacing the glenoid fossa. The glenoid component has one central peg with barbs and three peripheral pegs. The articulating surface of the glenoid device will be the same dimensions and sizes as existing Titan Modular Total Shoulder System three peg inline glenoids for consistent mismatching. The Fin-Lock™ Glenoid is intended to be a part of the TITAN™ Modular Shoulder System, 2.5 (K142413) and be used with the humeral component.

Based on the provided text, the acceptance criteria and the study results for the INTEGRA® TITAN™ Modular Total Shoulder System Fin-Lock™ Glenoid are described in the "807.92(b)(1-2) – Nonclinical Tests Submitted" section.

Here's a breakdown of the requested information:

1. Table of Acceptance Criteria and Reported Device Performance

The document states that "The results of these performance tests met their respective acceptance criteria." However, it does not explicitly list the quantitative acceptance criteria for each test. It only mentions that the device met them.

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

The document does not specify the sample sizes used for the test sets in the performance tests. It also does not mention the data provenance (e.g., country of origin, retrospective or prospective nature). The tests are described as "nonclinical," implying they were conducted in a laboratory setting rather than using patient data.

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

This information is not applicable and not provided. The tests described are "nonclinical" performance tests (e.g., mechanical testing, material characterization), which typically do not involve human experts establishing ground truth in the way clinical studies or diagnostic AI algorithms do.

4. Adjudication Method for the Test Set

This information is not applicable and not provided. As mentioned above, these are nonclinical performance tests, not clinical studies requiring adjudication of outcomes by experts.

5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done

No, an MRMC comparative effectiveness study was not done. The document describes nonclinical performance tests, not studies involving human readers or AI assistance.

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

This is not applicable. The device is a physical medical implant (shoulder prosthesis), not an algorithm or AI. The tests performed are for the physical properties and performance of the implant itself.

7. The Type of Ground Truth Used

The ground truth for these nonclinical tests would be based on engineering specifications, material science standards, and mechanical testing protocols. For example, for a "Glenoid Pull-out Fixation Test," the ground truth would be a defined force threshold or displacement limit that the device must withstand according to established engineering principles for such implants. The document implies these standards were used by stating "met their respective acceptance criteria."

8. The Sample Size for the Training Set

This is not applicable. The device is a physical medical device. There is no "training set" in the context of an AI/algorithm. The development and testing of a physical implant involve design iterations, material selection, and extensive pre-clinical testing, but not an AI-style training set.

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

This is not applicable as there is no training set for a physical medical device. The "ground truth" for the device's design and manufacturing would be based on biomaterial science, biomechanical engineering principles, clinical needs, existing standards for orthopedic implants, and the performance characteristics of predicate devices.

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The StepTech™ Anchor Peg Glenoid is intended for use in total shoulder replacement surgery for patients suffering from:

1. A severely painful and/or disabled joint resulting from osteoarthritis, traumatic arthritis or rheumatoid arthritis.
2. Fracture-dislocations of the proximal humerus where the articular surface is severely communited, separated from its blood supply or where the surgeon's experience indicates that alternative methods of treatment are unsatisfactory.
3. Other difficult clinical problems where shoulder arthrodesis or resection arthroplasty are not acceptable (e.g. revision of a failed primary component).
   Glenoid components are intended for cemented use only.

The DePuy Global Shoulder StepTech Anchor Peg Glenoid is designed for use as the glenoid component in a total shoulder arthroplasty. The glenoid is manufactured from crosslinked polyethylene conforming to ASTM F648, and is offered in sizes 40, 44, 48, 52 and 56 (bearing diameter and outside profile size) with step heights of +3, +5 and +7 (size of posterior buildup).

This document describes a medical device, the DePuy Global Shoulder StepTech Anchor Peg Glenoid, and its substantial equivalence to a previously cleared device. It does not contain information about acceptance criteria, the results of a study proving the device meets those criteria, or any of the other specific study-related details typically found in a clinical trial report or a performance validation study.

Therefore, I cannot provide the requested information based on the input text. The provided text is a 510(k) summary for a medical device seeking clearance based on substantial equivalence, not a performance study report.

In summary, the input document does not include the information necessary to fulfill the request concerning acceptance criteria and a study proving device performance.

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