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The LAP LUNA 3D system is used to support reproducible patient positioning and monitor patient surface motion during radiotherapy and radiosurgery treatments and during CT simulation for radiation therapy planning. LAP LUNA 3D may also be used to guide patients through breath-holds. The LAP LUNA 3D system can be used for all patients, undergoing radiotherapy and radiosurgery treatments and radiosurgery treatments and CT simulation for radiation therapy planning.

The LUNA 3D optical camera system captures the current 3D patient skin surface with one or multiple camera pods. The software calculates the spacial deviations between the captured live surface and a reference surface within a selected region of interest using a registration algorithm. Reference surfaces may be generated with the optical camera system or may be imported using data received from Treatment Planning Systems (TPS). Based on the registration results the user can adjust the patient position for reproducible patient positioning relative to the treatment isocenter. During the imaging (simulation) and treatment delivery process, the system continuously calculates the deviations between live- and reference surface for patient motion monitoring to ensure that the patient position remains within pre-defined tolerances.

Here's an analysis of the acceptance criteria and study information for the LUNA 3D device based on the provided FDA 510(k) summary:

1. Table of Acceptance Criteria and Reported Device Performance

The FDA 510(k) summary provides limited detailed acceptance criteria and mostly focuses on comparison to a predicate device. The performance claims primarily relate to accuracy.

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The THALES 3D MR SCANNER system is designed to measure the characteristic radiation beam for an irradiation unit. The beam data is stored in the software program and can be exported from there for use during commissioning in a treatment planning system (TPS) or for quality assurance. The THALES 3D MR SCANNER system can be used with irradiation units with integrated magnetic resonance imaging and a magnetic field of less than or equal to 0.35 tesla.

The THALES 3D MR SCANNER system consists of a water phantom with a carriage system, a manual control unit and a software program. A water basin with the corresponding pump, a control unit with an electrometer, and a motor controller are integrated in the carriage system. The software program is used to control the three axes of the water basin, perform measurements and analyse measured data.

The software program has the following properties: Acquisition of measured data, analysis, and recording of photon beams with the water phantom. Generation and export of beam data libraries for a treatment planning system (TPS) for commissioning of irradiation units. The software program is equipped with a central database and/or a file system for central storage of all recorded data for different irradiation units within a large hospital network with different sites. The software program offers the option of defining different user levels to support the typical clinical workflows.

Here's an analysis of the provided text regarding the acceptance criteria and study for the THALES 3D MR Scanner:

Important Note: The provided FDA 510(k) summary focuses on demonstrating substantial equivalence to a predicate device, not necessarily on a comprehensive efficacy study with predefined acceptance criteria for its performance metrics as one might see in a clinical trial. The "acceptance criteria" here are more about meeting safety, electromagnetic compatibility, and dosimeter standards, and showing that its operational parameters are comparable or superior without introducing new risks. There is no information about a comparative effectiveness study (MRMC) with human readers, nor a standalone algorithm performance study as would be applicable for AI/CADe devices.

1. Table of Acceptance Criteria and Reported Device Performance

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

The document does not describe a "test set" in the context of an AI/ML algorithm or a specific patient-data based study. Instead, it details performance characteristics of a physical measurement device (water phantom) for radiation therapy. The performance testing refers to evaluating the device's physical and electrical characteristics against standards (IEC, ASTM). Therefore, there is no information about a sample size or data provenance related to patient data. The "test set" implies physical testing of the device itself.

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

Not applicable. The ground truth for this device's performance is established by engineering and physics standards (IEC, ASTM) for safety, compatibility, and measurement accuracy, not by human expert consensus on clinical data.

4. Adjudication Method for the Test Set

Not applicable. There's no clinical data or expert review process described that would require an adjudication method.

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

No. The document makes no mention of an MRMC study or any study involving human readers or comparative effectiveness in a clinical workflow with or without AI assistance. This device is a measurement tool, not an AI diagnostic or assistive tool in the traditional sense.

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

No. This is not an AI algorithm but a physical device with integrated software to control movement, acquire, analyze, and export measurement data. Its "performance" refers to how accurately it physically measures radiation beams, not its ability to interpret images or suggest diagnoses.

7. The Type of Ground Truth Used

The ground truth used for validating the device's performance comes from established engineering and medical device standards:

• Electrical and mechanical safety: IEC 61010
• EMC: IEC 60601-1-2
• Dosimeter requirements: IEC 60731
• MRI safety: Applicable ASTM standards
• Performance metrics (e.g., position accuracy, electrometer resolution) are likely validated against manufacturer-defined specifications derived from engineering principles and comparison to the predicate device.

8. The Sample Size for the Training Set

Not applicable. This device is not an AI/ML model that requires a "training set" of data in the conventional sense. Its software controls hardware and processes raw measurement data based on established physics, not learned patterns from a "training set."

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

Not applicable, as there is no training set for an AI/ML algorithm.

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The DORADOnova MR3T system assists in reproducible patient positioning during radiation therapy planning and is utilized during treatment planning workflow. The DORADOnova MR3T system projects visual laser beams which can be positioned at specified coordinates via a control system. The position coordinates are typically chosen by the operator or provided by an external system (e.g. treatment planning system). The DORADOnova MR3T system is allowed to be used in MR environment with a magnetic field, less or equal to 3 Tesla.

The LAP moving laser positioning system contains laser devices and a control system. The laser system is provided in a configuration that enables the movement of two projection planes by using an appropriate composition of motorized and fixed laser devices. The installation of the system is realized in a combined bridge solution.

This FDA 510(k) summary (K173926) describes the DORADOnova MR3T system, a medical device used for reproducible patient positioning during radiation therapy planning. The document primarily focuses on demonstrating substantial equivalence to predicate devices rather than providing a detailed clinical study with acceptance criteria for an AI/algorithm-driven device.

Therefore, many of the requested elements for describing the acceptance criteria and the study that proves the device meets them (especially those related to AI/algorithm performance, ground truth establishment, expert adjudication, and MRMC studies) are not applicable to this specific device and document, as it is a laser positioning system, not an AI-powered diagnostic or therapeutic device.

However, based on the provided text, I can extract the relevant performance specifications and how they were tested.

Device Name: DORADOnova MR3T (LAP moving laser positioning system)

Device Type: Medical charged-particle radiation therapy system (21 CFR 892.5050, Class II) - Specifically, a laser positioning system.

1. Table of Acceptance Criteria and Reported Device Performance

Since this is a physical positioning device and not an AI/algorithm, "acceptance criteria" are tied to its physical specifications and safety standards, largely demonstrated through bench testing and compliance with recognized standards.

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