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InQu is a resorbable bone void filler intended to fill bony gaps or voids that are not intrinsic to the stability of the bony structure. InQu is intended for use as a bone graft substitute in the skeletal system (extremities and pelvis). InQu is indicated for use as a bone graft extender in the spine when combined with bone autograft. These defects may be surgically created osseous defects, or osseous defects created from traumatic injury to the bone. The product provides a bone void filler that resorbs and is replaced with bone during the healing process.

InQu Paste Mix is intended for single patient use only. The device is a sterile, granular, synthetic bone void filler composed of poly (D,L-lactide-co-glycolide) and hyaluronic acid. InQu is combined with a fluid (e.g. saline or blood) to form a paste, which is easily placed into bony voids. It resorbs and is replaced with bone during the healing process.

Here's an analysis of the provided text regarding the acceptance criteria and study for the InQu® Paste Mix device:

Important Note: The provided document is a 510(k) summary, which focuses on demonstrating substantial equivalence to a predicate device. It is not a detailed clinical study report and therefore does not contain the level of detail typically found in such reports regarding acceptance criteria, sample sizes, ground truth establishment, or clinical performance metrics like sensitivity, specificity, or reader studies. The "study" mentioned is a bench study, not a clinical trial.

Acceptance Criteria and Study Details for InQu® Paste Mix

Based on the provided K1118358 510(k) summary, the device is a resorbable bone void filler. The "acceptance criteria" and "study" described are focused on demonstrating substantial equivalence (specifically, dissolution characteristics) to a previously cleared predicate device, rather than proving clinical performance against a set of predefined clinical metrics.

1. Table of Acceptance Criteria and Reported Device Performance

Explanation: This criterion is for a bench test comparing material properties. It is not a clinical acceptance criterion. The "reported device performance" is a direct statement of equivalence from the summary.

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

• Test Set Sample Size: Not specified. The document refers to a "study comparing the dissolution rate and characteristics," but does not provide details on the number of samples or replicates used in this bench test.
• Data Provenance: The study was "performed" by ISTO Technologies, Inc. This would typically be a laboratory/bench study. There is no mention of country of origin for data as it's not a human-subjects study. It's a prospective bench test designed for the 510(k) submission.

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

• Number of Experts: Not applicable. This was a bench test evaluating material properties (dissolution rate and characteristics) under laboratory conditions, not a study requiring expert clinical interpretation or ground truth establishment in a human-subjects context.
• Qualifications of Experts: Not applicable.

4. Adjudication Method for the Test Set

• Adjudication Method: Not applicable. As this was a bench test for dissolution characteristics, there would be no need for clinical adjudication. The assessment would likely involve objective measurements and statistical comparison.

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

• Was an MRMC study done? No. The document describes a bench study comparing material properties, not a clinical study involving human readers or cases to assess diagnostic or treatment effectiveness.

6. Standalone Performance (Algorithm Only without Human-in-the-loop Performance)

• Was a standalone study done? No. This device is a resorbable bone void filler, not an algorithm or AI-powered device. Therefore, the concept of "standalone performance" in the context of an algorithm does not apply.

7. Type of Ground Truth Used

• Type of Ground Truth: Not applicable in the traditional sense of clinical ground truth (e.g., pathology, outcomes data). For the bench study, the "ground truth" or reference was likely the established behavior/characteristics of the predicate devices' granules, measured objectively in a laboratory setting. The comparison sought to confirm that the new device's granules exhibited similar dissolution properties.

8. Sample Size for the Training Set

• Training Set Sample Size: Not applicable. This device is not an AI/ML algorithm that requires a training set. The study described is a bench test.

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

• How Ground Truth for Training Set Was Established: Not applicable, as there is no training set for this type of device.

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InQu® is a resorbable bone void filler intended to fill bony gaps or voids that are not intrinsic to the stability of the bony structure. InQu® is intended for use as a bone graft substitute in the skeletal system (extremities and pelvis) and as a bone graft extender in the spine when combined with bone autograft. These defects may be surgically created osseous defects or osseous defects created from traumatic injury to the bone. The product provides a bone void filler that resorbs and is replaced with bone during the healing process.

InQu® Paste Mix Plus is intended for single patient use only. The device is a sterile, granular, synthetic bone void filler composed of poly (D,L-lactide-co-glycolide), hyaluronic acid and sodium carboxymethylcellulose provided in powder form, added to improve handling characteristics. The two components are mixed at the time of use and combined with a fluid (e.g. saline or blood) to form a putty, which is easily placed into bony voids. It resorbs and is replaced with bone during the healing process.

The provided text describes a 510(k) premarket notification for the "InQu® Paste Mix Plus" device, which is a resorbable bone void filler. However, it does not contain a study that establishes acceptance criteria for performance metrics in the way typically seen for AI/ML-based devices with quantitative performance measures. Instead, the submission focuses on demonstrating substantial equivalence to predicate devices through material composition, technological characteristics, and dissolution rate.

Therefore, many of the requested categories for AI/ML device studies are not applicable to this 510(k) submission for a medical device that is a bone void filler rather than a diagnostic or predictive algorithm.

Here's a breakdown based on the provided text, addressing the applicable points:

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

The provided text does not present explicit acceptance criteria or quantitative performance metrics in the way an AI/ML study would (e.g., sensitivity, specificity, AUC). Instead, the "acceptance criteria" are implied by the demonstration of substantial equivalence to predicate devices. The study performed focuses on a comparative characteristic.

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

The document mentions "a study comparing the dissolution rate and characteristics of the smaller granule size in the Paste Mix Plus to the granules in the predicate devices." No specific sample size for this study is provided, nor is the data provenance (e.g., country of origin, retrospective/prospective). This is a physical or chemical property test, not a clinical data test.

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

Not applicable. The study is comparing physical/chemical properties (dissolution rate) of a bone void filler, not requiring expert consensus on clinical labels or image interpretations.

4. Adjudication method for the test set

Not applicable. This was a physical properties comparison study, not one requiring adjudication of clinical or image data.

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 device is a bone void filler, not an AI/ML diagnostic or assistive device.

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

Not applicable. This device is a bone void filler, not an AI/ML algorithm.

7. The type of ground truth used

For the dissolution rate study, the "ground truth" would be the measured dissolution rate and characteristics of the predicate device granules, against which the new device's granules were compared. This is a scientific measurement in a laboratory setting.

8. The sample size for the training set

Not applicable. This is not an AI/ML device requiring a training set.

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

Not applicable. This is not an AI/ML device.

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InQu™ is a resorbable bone void filler intended to fill bony gaps or voids that are not intrinsic to the stability of the bony structure. InQu™ is intended for use as a bone graft substitute in the skeletal system (extremities and pelvis). InQu™ is indicated for use as a bone graft extender in the spine when combined with bone autograft. These defects may be surgically created or result from traumatic injury to the bone.

InQu™ is intended for single patient use only. InQu™ is a sterile, granular, synthetic bone void filler device composed of poly (D, L-lactide-co-glycolide) and hyaluronic acid. It resorbs and is replaced with bone during the healing process.

This document pertains to a 510(k) premarket notification for a medical device called InQu™. As such, it describes the device's intended use, composition, and claims of substantial equivalence to a predicate device. It does not contain information about acceptance criteria or a study demonstrating device performance against such criteria.

The purpose of a 510(k) submission is to demonstrate that a new device is substantially equivalent to a legally marketed predicate device. This typically involves comparing technological characteristics, intended use, and performance data if relevant for safety and effectiveness.

Therefore, I cannot fulfill your request for the following information based on the provided text:

1. A table of acceptance criteria and the reported device performance: This information is not present.
2. Sample size used for the test set and the data provenance: Not applicable as no specific performance study against acceptance criteria is described.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable.
4. Adjudication method for the test set: Not applicable.
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, as this is a bone void filler and not an AI-assisted diagnostic device.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: Not applicable.
7. The type of ground truth used: Not applicable.
8. The sample size for the training set: Not applicable.
9. How the ground truth for the training set was established: Not applicable.

The document indicates that "Testing has confirmed InQu™ is biocompatible, safe and effective as a general bone void filler device and as a bone graft extender in spine." However, it does not provide details of these tests, including acceptance criteria or study methodologies. The core of this 510(k) is the claim of substantial equivalence to its own prior version (K063359), stating it's "in fact the same product as the unmodified predicate device."

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InQu™ is a resorbable bone void filler intended to fill bony gaps or voids that are not intrinsic to the stability of the bony structure. InQu™ is intended to be gently packed into bony gaps or voids in the skeletal system (extremities and pelvis). These defects may be surgically created or result from traumatic injury to the bone.

InQu™ is intended for single patient use only. InQu™ is a sterile, granular, synthetic bone void filler device composed of poly (D, L-lactide-co-glycolide) and hyaluronic acid. It resorbs and is replaced with bone during the healing process. Testing has confirmed InQu™ is biocompatible as a bone void filler device. InQu™ is substantially equivalent to the predicate device in terms of material composition. technological characteristics and bone healing performance in an animal model.

This submission for the InQu™ resorbable bone void filler does not contain information on acceptance criteria or a study demonstrating the device meets such criteria in the context of device performance as would be expected for a diagnostic or AI-driven aid.

This is a traditional 510(k) submission for a medical device (resorbable bone void filler), not a software or AI-driven diagnostic device. Therefore, the typical performance metrics like sensitivity, specificity, or reader study results are not applicable, and the information requested in the prompt based on those types of studies will not be found in this document.

The submission focuses on substantial equivalence to a predicate device based on material composition, technological characteristics, and bone healing performance in an animal model.

Here's a breakdown of what information is available and why other requested information is not:

• Acceptance Criteria and Reported Device Performance: This information is not explicitly stated in terms of quantitative performance metrics (e.g., accuracy, sensitivity, specificity, F-score) that would be expected for a diagnostic or AI device. The submission asserts substantial equivalence to a predicate device (PolyGraft™ BGS, OsteoBiologics, Inc., K040047) based on:

  • Material composition: poly (D, L-lactide-co-glycolide) and hyaluronic acid.
  • Technological characteristics.
  • Bone healing performance in an animal model.
    The document states: "Testing has confirmed InQu™ is biocompatible as a bone void filler device. InQu™ is substantially equivalent to the predicate device in terms of material composition, technological characteristics and bone healing performance in an animal model." However, no specific performance values or acceptance criteria for this animal model are provided in the excerpt.

• Sample size used for the test set and the data provenance: Not applicable. The "test set" in the context of an AI/diagnostic device is not relevant here. The evaluation mentioned is an "animal model," but the specifics of that study (e.g., number of animals) are not provided in this excerpt.

• Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable. Ground truth as typically understood for diagnostic image analysis (e.g., expert consensus on image findings) is not relevant to this type of device.

• Adjudication method: Not applicable.

• Multi Reader Multi Case (MRMC) comparative effectiveness study: Not applicable, as this is not a diagnostic device intended for human reader assistance.

• Standalone performance study: Not applicable, as this is not a software algorithm.

• Type of ground truth used: For the bone healing performance, the "ground truth" would likely be based on histological analysis of bone formation or radiographic evidence of healing in the animal model. However, specific details are not provided.

• Sample size for the training set: Not applicable. This is not an AI/machine learning device.

• How the ground truth for the training set was established: Not applicable.

Summary of available information related to performance/equivalence:

In conclusion, this 510(k) summary focuses on demonstrating substantial equivalence to a predicate device rather than presenting specific quantitative acceptance criteria and results from standalone performance studies, which are typically found for diagnostic or AI-powered devices. The "study" mentioned is an "animal model" demonstrating bone healing performance and biocompatibility, but no detailed results or methodology are included within this excerpt.

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