Search Results

The Radixact Treatment Delivery System is indicated for the delivery of radiation therapy stereotactic body radiotherapy (SBRT), or stereotactic radiosurgery (SRS) to tumors or other targeted tissues anywhere in the body under the direction of a licensed medical practitioner. The megavoltage x-ray radiation is delivered using rotational, intensitymodulated (IMRT), or non-modulated (non-INRT/three-dimensional conformal) treatment techniques and using imageguided (IGRT) or non-image-guided workflows in accordance with the physician-approved plan. The Radixact Treatment Delivery System integrates Surface Guided Radiation Therapy (SGRT) for patient position and motion monitoring, and breath-hold gating.

The predicate and modified Radixact Treatment Delivery Systems are radiation therapy delivery systems, that provide megavoltage CT imaging capabilities coupled with x-ray radiation delivery. The system achieves delivery using rotational, intensity modulated (IMRT), or non-modulated (non-IMRT/three-dimensional conformal) radiation therapy treatment techniques utilizing image-guided (IGRT) or non-image-guided workflows, to tumors or other targeted tissues anywhere in the body, in accordance with the physician-approved plan.

The additional feature update: VitalHold incorporates an external optical monitoring system (EMS), which is integrated with the Radixact system to enable Surface Guided Radiotherapy (SGRT) for patient setup, patient position and motion monitoring, and breath-hold gating.

Neither the predicate Radixact Treatment Delivery System nor the modified Radixact Treatment Delivery System diagnose disease or quantify treatment effectiveness. Accordingly, they are not intended for diagnostic use.

The provided text describes a 510(k) premarket notification for the Radixact Treatment Delivery System, which is a medical device for radiation therapy. The submission focuses on the substantial equivalence of the modified device to a legally marketed predicate device.

It's crucial to understand that this document does not describe a study involving AI-driven diagnostic or treatment planning software that requires complex acceptance criteria based on human expert review, high-volume datasets, or MRMC studies. Instead, it describes a hardware and software update to an existing radiation therapy delivery system, primarily the integration of a Surface Guided Radiotherapy (SGRT) system for patient positioning and motion monitoring, and breath-hold gating.

Therefore, many of the requested elements regarding acceptance criteria for AI performance (like sensitivity, specificity, MRMC studies, large training/test sets for AI, expert readers for ground truth, and adjudication methods) are not applicable to this type of device submission as described in the provided text.

The "Performance Data" section primarily addresses engineering verification and validation, compliance with electrical safety and EMC standards, and risk management. The "Non-Clinical Data" section focuses on testing the functionality of the SGRT integration with the core Radixact system, not AI performance. It states "No animal or clinical tests are being submitted to establish substantial equivalence with the predicate device."

Here's a breakdown of the requested information based on the provided text, indicating where information is present and where it is not applicable or not detailed for this type of device:

Acceptance Criteria and Study for Radixact Treatment Delivery System (K223159)

This submission is for a modification to an existing radiation therapy delivery system, primarily focusing on the integration of a Surface Guided Radiotherapy (SGRT) system for patient positioning and motion monitoring, and breath-hold gating. The "study" described is primarily engineering verification and validation testing to demonstrate the device's functionality, safety, and effectiveness, not a clinical trial or an AI performance study as typically understood for diagnostic support systems.

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

The document lists "Key system performance attributes" related to the SGRT integration and states that "The Verification results show that the design goals and objectives had been met." However, it does not provide a quantitative table of specific acceptance criteria values and reported performance values beyond stating that the tests demonstrated conformity to design specifications and met user needs. The performance attributes mentioned are functional:

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

• Test Set Sample Size: Not specified in terms of patient cases or images for performance testing. The "Non-Clinical Data" section refers to "testing outlined above" (functional tests with a "moving surrogate"), which are likely engineering tests rather than patient studies.
• Data Provenance: Not applicable in the context of patient data for a test set. The validation is primarily technical/engineering.

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

• Not Applicable. This submission does not involve AI-driven diagnosis or analysis requiring expert interpretation of medical images to establish ground truth for a test set. The "ground truth" for the functional tests would be the controlled movement of the surrogate and the expected system response, not expert consensus on clinical data.

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

• Not Applicable. There are no medical image interpretations requiring adjudication for this device's submission as described.

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 Multi-Reader Multi-Case (MRMC) study was done. The document explicitly states: "No animal or clinical tests are being submitted to establish substantial equivalence with the predicate device." This device is a treatment delivery system, not a diagnostic AI system intended to assist human readers in interpretation.

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

• The performance evaluation focused on the integrated system's functional capabilities (tracking, beam delivery, pausing, informing user). While the SGRT system itself performs some automated actions (e.g., gating the beam), the evaluation is of its function within the treatment delivery workflow, not as a standalone AI algorithm producing outputs for human review. The document does not describe "algorithm only" performance as a separate study element in the context of an AI-driven system.

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

• Type of Ground Truth: For the "Key system performance attributes" related to the SGRT, the ground truth would be the controlled and known physical parameters of the moving surrogate (e.g., its position, movement beyond/within thresholds) and the expected system response according to design specifications. This is typical for engineering verification and validation of a mechanical/software system, not clinical ground truth from patient data like pathology or expert consensus.

8. The sample size for the training set

• Not Applicable. This document does not describe the development of a machine learning (AI) model with a "training set" in the context of diagnostic or predictive AI. The submission is for a hardware and software update to a radiation therapy delivery system.

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

• Not Applicable. As there is no described training set for an AI model, this question is not relevant to the provided text.

Ask a specific question about this device

The Radixact Treatment Delivery System is indicated for the delivery of radiation therapy, stereotactic radiotherapy or stereotactic radiosurgery to tumors or other targeted tissues anywhere in the body under the direction of a licensed medical practitioner.

The Radixact Treatment Delivery System is a radiation therapy delivery system that provides Image Guided Radiation Therapy (IGRT) using integral megavoltage CT imaging capabilities and delivers helical (rotational) and fixed-angle (non-rotational) radiation therapy to tumors and other targeted tissues.

The Radixact Treatment Delivery System is an updated design of the radiation delivery elements of the predicate TomoTherapy Treatment System (last cleared on K121934). The Radixact Treatment Delivery System delivers radiation therapy treatment plans generated on planning systems such as Accuray's Precision™ Treatment Planning System and stored on Accuray's iDMS™ Integrated Data Management System devices. The planning and data management devices are not addressed in this 510(k).

The Radixact Treatment Delivery System is a prescription device that delivers radiation in accordance with a physician approved plan. As with the TomoTherapy Treatment System, the Radixact Treatment Delivery System does not diagnose disease, recommend treatment regimens or quantify treatment effectiveness. Accordingly, it is not intended for diagnostic use.

This document does not contain an acceptance criteria table or a study description with the requested details. The primary purpose of this document is a 510(k) premarket notification for the Radixact Treatment Delivery System, asserting its substantial equivalence to a predicate device (TomoTherapy Treatment System, K121934).

Here's a breakdown of what is and is not in the provided text, in relation to your request:

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

• Not Found: The document does not present a table of specific quantitative acceptance criteria or detailed reported device performance metrics in the format requested.
• What is present: There is a detailed comparison table (pages 5-6) that highlights "General Characteristics" of the predicate device and the subject device (Radixact Treatment Delivery System). This table focuses on technological characteristics (e.g., dimensions, gantry features, radiation delivery modes, imaging parameters, patient couch motion) and largely states "Identical to predicate" or "Functionally equivalent to predicate" for many parameters, or provides specific values for both devices without explicitly stating "acceptance criteria" or a quantitative "performance result" against a pre-defined threshold.

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

• Not Found: The document states, "No clinical tests were required to establish substantial equivalence" (page 8). Therefore, there is no mention of a test set, its sample size, or data provenance from a clinical study.

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

• Not Found: As no clinical tests were required, there is no information about experts establishing ground truth for a test set.

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

• Not Found: No clinical tests, no adjudication method.

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 Found: No MRMC study was conducted or mentioned, as the device is a radiation therapy delivery system, not an AI-assisted diagnostic tool for human readers.

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

• Not Found: Not applicable for this type of device. The device itself delivers radiation therapy as directed by a practitioner, it's not an algorithm providing a standalone diagnostic or treatment recommendation.

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

• Not Found: Since no clinical studies were performed for this 510(k), no ground truth establishment is discussed. The device's "performance" is assessed through engineering verification and validation testing against design specifications, conformity to recognized consensus safety standards, and comparison of technological characteristics to the predicate.

8. The sample size for the training set:

• Not Found: This device is a hardware system for radiation delivery, not a machine learning model that would require a "training set" in the conventional sense.

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

• Not Found: Not applicable, as it's not an AI/ML device that uses a training set with ground truth.

In summary:

The provided document is a 510(k) summary focused on demonstrating the substantial equivalence of the Radixact Treatment Delivery System to a predicate device. It relies heavily on comparing technical specifications, intended use, and functioning principles, and states that "No clinical tests were required to establish substantial equivalence" (page 8). Therefore, it does not contain the detailed information about acceptance criteria, clinical study methodology, sample sizes, or ground truth establishment that you've requested, as these were not part of the substantial equivalence pathway for this particular device submission. The performance data mentioned refers to "verification and validation testing confirm[ing] that the Radixact Treatment Delivery System conforms to design specifications and meets the needs of the intended users" (page 8), rather than clinical study results.

Ask a specific question about this device