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510(k) Data Aggregation
(133 days)
The ACHIEVE PARTIAL KNEE SYSTEM is intended for unicompartmental knee arthroplasty to treat one or more of the following conditions:
- · Moderately disabling joint disease of the knee resulting from painful osteo or post traumatic arthritis.
- · Revision of previous unsuccessful surgical procedures, including prior unicompartmental knee arthroplasty.
- · As an alternative to tibial osteotomy in patients with unicompartmental osteoarthritis.
The ACHIEVE™ PARTIAL KNEE SYSTEM is a knee joint femorotibial (unicompartmental) prosthesis that is intended for cementless or cemented fixation.
The implant system consists of individually packaged implants: a metal tibial tray (titanium alloy), a polyethylene tibial insert, and a metal femoral component (titanium alloy or cobalt-chromium). All tibial inserts are composed of a Cross-linked, Vitamin E Ultra High Molecular Weight Polyethylene (Cross-Linked, VE UHMWPE).
This document does not contain information about the acceptance criteria and study detailed in the request. The document is a 510(k) premarket notification for a medical device (ACHIEVE™ Partial Knee System) and focuses on demonstrating substantial equivalence to a predicate device through non-clinical testing. It explicitly states that clinical testing was not necessary to demonstrate substantial equivalence.
Therefore, I cannot provide the requested information regarding acceptance criteria, device performance, sample sizes for test or training sets, data provenance, expert qualifications, ground truth, or MRMC studies, as these aspects are typically associated with clinical trials or performance studies involving AI/software devices.
The document describes engineering tests and analyses performed on the physical components of the knee system. For instance:
- Range of Motion (RoM) Evaluation: Acceptance criteria met per ASTM F2083.
- Femoral Fatigue Testing: Acceptance criteria met per modified ASTM F3210 (10 Mc).
- Tibial Tray Fatigue Testing: Acceptance criteria met per modified ASTM F3140 (10 Mc).
- Component Interlock Strength Testing: Acceptance criteria met for static AP and ML shear testing and static tensile pull-off testing.
- Wear Resistance Evaluation: Wear rate does not represent a new worst-case compared to the predicate device per ISO 14243-3.
- Biocompatibility Assessments: Devices found to be biocompatible per ISO 10993-1 and FDA Guidance.
- Porous Structure Characterization: Meets recommendations of Class II Special Controls Guidance Document per ASTM F1044, ASTM F1147, ASTM F1160, ASTM F1978, and ASTM F1854.
- Shelf-Life Evaluation: Five-year shelf life established per ISO 11607-1 and ISO 11607-2.
- Sterilization Validation: Sterility Assurance Level (SAL) of 10-6 found per ISO 11137-1 and ISO 11137-2.
However, these are all engineering benchmarks for the physical orthopedic implant, not performance metrics for a diagnostic AI/software device.
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(30 days)
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
(27 days)
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
(34 days)
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.
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(103 days)
Reverse Total Shoulder
The INHANCE SHOULDER SYSTEM Reverse Total Shoulder with a humeral stem is indicated for primary, fracture or revision total reverse shoulder replacement procedures to address the following. The system is indicated for use in patients whose shoulder joint has a gross rotator cuff deficiency. The patient must be anatomically suited to receive the implants and a functional deltoid muscle is necessary. The system is also indicated from an anatomic to reverse shoulder prosthesis without the removal of a well-fixed INHANCE humeral stem.
- · A severely painful, disabling, arthritic joint
- · Fractures of the humeral head (with Short Humeral Stems)
- · Fractures of the humeral head and proximal humerus (with Standard or Long Stems)
- · Revisions of previously failed shoulder joint replacements
Fixation Methods
The humeral stem is intended for cementless use. The glenoid baseplate components are intended for cementless application with the addition of screw fixation.
The INHANCE REVERSE SHOULDER SYSTEM with Glenoid Peripheral Posts is intended for use in reverse total replacement procedures.
The Reverse Total Shoulder Prosthesis consists of individually packaged implants: a metal humeral stem (titanium alloy), a shell (titanium alloy), a liner (Cross-linked, VE UHMWPE) in combination with a glenosphere (cobalt-chromium), baseplate (titanium alloy), peripheral screws (titanium alloy), peripheral posts (titanium alloy), and either a central screw (titanium alloy) or a central post (titanium alloy).
The INHANCE REVERSE SHOULDER SYSTEM includes Peripheral Posts that are offered in 4MM, 6MM and 8MM lengths. The Peripheral Posts can be simply prepared for, and placed through, one of the peripheral holes of the Baseplate to increase contact area and aid in stability. This versatile option allows for interoperative flexibility and simple preparation to address various glenoid morphologies.
Note(s):
- . When using a Peripheral Post implant, the INHANCE Reverse Shoulder System is only indicated for use with a Central Screw and Peripheral Locking Screws that are 25mm or greater in length.
- . The Peripheral Post implants are only indicated for use in anterior, posterior, and superior glenoid defects.
The provided document is a 510(k) premarket notification letter from the FDA to Ignite Orthopedics LLC regarding their INHANCE™ Reverse Glenoid Peripheral Posts. It primarily focuses on demonstrating substantial equivalence to predicate devices rather than proving the device meets specific performance criteria through a study with acceptance criteria.
The document discusses non-clinical testing conducted to support substantial equivalence. However, it explicitly states: "Clinical testing was not necessary to demonstrate substantial equivalence of the INHANCE™ Reverse Glenoid Peripheral Posts to the predicate devices."
Therefore, the requested information regarding "acceptance criteria and the study that proves the device meets the acceptance criteria" in terms of clinical performance (e.g., diagnostic accuracy, patient outcomes) is not available in this document. The document describes engineering and biocompatibility testing criteria, but not criteria related to clinical performance or human reader studies.
Here's a breakdown of the information that is available based on your request, highlighting what is missing due to the nature of this submission (a 510(k) based on substantial equivalence, not a clinical performance study):
Acceptance Criteria and Device Performance (Based on Non-Clinical Testing):
Acceptance Criteria Category | Acceptance Criteria (Stated) | Reported Device Performance (Achieved) |
---|---|---|
Range of Motion (RoM) | Meet established specifications per ASTM F1378 | "The RoM targets were met." |
Construct Fatigue Testing | Meet applicable ASTM F1378 criteria | "The acceptance criteria were met." |
Construct Loosening & Disassociation | Meet applicable ASTM F2028-17 criteria | "The acceptance criteria were met." |
Biocompatibility | Meet ISO 10993-1 and FDA Guidance standards | "The devices were found to be biocompatible." |
MRI Compatibility | Inform MRI Conditional Labeling based on ASTM F2052-15 (Force), F2213-17 (Torque), F2182-19e2 (Heating), F2119-07 (Image Quality) | Quantitative data obtained. No new worst-case components. |
Shelf Life | Establish 5-year shelf life per ISO 11607-1 and ISO 11607-2 | "A five-year shelf life was established based on the resultant data." |
Sterilization Validation | Achieve Sterility Assurance Level (SAL) of 10-6 per ISO 11137-1 and ISO 11137-2 | "The Sterility Assurance Level (SAL) was found to be 10-6." |
Since "Clinical testing was not necessary," the following points of your request cannot be answered from the provided text:
- Sample sizes used for the test set and data provenance: Not applicable for clinical performance study.
- Number of experts used to establish the ground truth for the test set and their qualifications: Not applicable, as no clinical test set requiring expert ground truth was described.
- Adjudication method for the test set: Not applicable.
- 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: Not applicable, as this is a physical medical device, not an AI-assisted diagnostic tool, and no clinical study was performed.
- If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: Not applicable (not an algorithm/AI device).
- The type of ground truth used (expert consensus, pathology, outcomes data, etc.): Not applicable for clinical performance. For non-clinical tests, the "ground truth" or reference is the specified ASTM/ISO standard criteria.
- The sample size for the training set: Not applicable (no algorithm/AI device or clinical training set described).
- How the ground truth for the training set was established: Not applicable (no algorithm/AI device or clinical training set described).
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(181 days)
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'
- DJO's
- Smith & Nephew's
- Lima's
- Stryker's .
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.
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(274 days)
The Ignite Stemless Anatomic Shoulder Prosthesis is intended for use in total shoulder replacement procedures to address the following:
- · Osteoarthritis;
- Posttraumatic arthrosis;
- · Focal avascular necrosis of the humeral head;
- · Previous surgeries of the shoulder that do not compromise the fixation.
The Ignite Stemless Anatomic Shoulder System is total shoulder arthroplasty system consisting of stemless humeral implants (multiple sizes), offset taper adapter, humeral heads (38 - 57mm diameters), and glenoid components (multiple sizes).
The anatomic stemless humeral construct consists of an additively manufactured Ti-6A1-4V Stemless Humeral Implant, a wrought Cobalt-Chromium Humeral Head, and a wrought Ti-6Al-4V Taper Adapter. The all-poly Anatomic Glenoid consists of a Highly Crosslinked Alpha-Tocopherol (Vitamin-E) infused Ultra-High-Molecular-Weight-Polyethylene articulation surface. 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 text describes the "Ignite Stemless Anatomic Shoulder System" and its FDA 510(k) clearance. This document pertains to a medical device (shoulder prosthesis) and not an AI/ML powered device. Therefore, many of the requested fields regarding acceptance criteria and study design for AI/ML devices are not applicable.
Here's the information that can be extracted or noted as not applicable based on the provided text:
1. A table of acceptance criteria and the reported device performance
Since this is a physical medical device clearance, the "acceptance criteria" are typically related to mechanical performance, material properties, and biocompatibility rather than AI/ML performance metrics like accuracy, sensitivity, or specificity. The text states that "acceptance criteria were met" for various tests.
Acceptance Criteria (from text) | Reported Device Performance (from text) |
---|---|
Exceeded clinically relevant loading conditions with application of adequate safety factor (Humeral Anchor Loosening - Static Stability) | Acceptance criteria were met. |
Exceeded clinically relevant loosening displacement requirements (Humeral Anchor Loosening - Cyclic Loosening Evaluation) | Acceptance criteria were met. |
Meet established specifications per ASTM F1378 (Range of Motion (RoM) Evaluation) | RoM targets were met. |
Biocompatible per ISO 10993-1 and FDA Guidance Document | Devices were found to be biocompatible. |
Strength of the device exceeds that required for the intended use (Construct Fatigue Testing) | Acceptance criteria were met. |
Compliance with ASTM F2009 (Taper Disassembly Evaluation) | Acceptance criteria were met. |
Compliance with ISO 11607-1 and ISO 11607-2 (Shelf Life Evaluation) | Five year shelf life was established. |
Sterility Assurance Level (SAL) of 10^-6 per ISO 11137-1 and ISO 11137-2 (Sterilization Validation) | SAL was found to be 10^-6. |
2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)
Not applicable. The clearance is for a physical medical device, not an AI/ML system. Testing involved mechanical and material evaluations, not data sets for AI/ML.
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)
Not applicable. Ground truth as typically defined for AI/ML (e.g., expert labels on images) is not relevant to the mechanical and material testing performed for this device.
4. Adjudication method (e.g. 2+1, 3+1, none) for the test set
Not applicable. Adjudication methods are relevant for resolving discrepancies in expert labeling or diagnoses for AI/ML output, not for physical device testing.
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
Not applicable. This is not an AI-assisted device.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
Not applicable. This is not an AI algorithm.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)
For a physical device like a shoulder prosthesis, "ground truth" would relate to accepted engineering standards, material properties, and biological responses.
- Mechanical Testing: Based on established industry standards (e.g., ASTM F1378, ASTM F1044, ASTM F1147, ASTM F1160, ASTM F1978, ASTM F1854, ASTM F2009) and "clinically relevant loading conditions."
- Biocompatibility: Based on ISO 10993-1 and FDA Guidance.
- Sterilization: Based on ISO 11137-1 and ISO 11137-2.
- Shelf Life: Based on ISO 11607-1 and ISO 11607-2.
8. The sample size for the training set
Not applicable. This is not an AI/ML device.
9. How the ground truth for the training set was established
Not applicable. This is not an AI/ML device.
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