Search Results
Found 1 results
510(k) Data Aggregation
(122 days)
Model 1220-MR ArcCHECK-MR is a three-dimensional (3D) ionizing radiation measurement device intended for radiotherapy quality assurance.
Model 1220-MR ArcCHECK-MR is a three dimensional diode sensor used for ionizing radiation measurement for radiotherapy quality assurance. The cylindrical diode array is embedded in a cylindrical plastic phantom that allows for dosimetry measurements to be made from all gantry angles as the therapy beam rotates about the diode array.
The provided GUI 'SNC Patient' software application installed on the user's computer and connected to the Model 1220-MR ArcCHECK-MR by an 8 pin DIN cable and is unchanged from the K142617 predicate device.
This submission introduces Model 1220-MR ArcCHECK-MR. This model is equivalent in form and function to the cleared Model 1220, but has been verified as an MR-conditional product.
The provided document is a 510(k) summary for the ArcCHECK-MR device, which is an ionizing radiation measurement device for radiotherapy quality assurance. It focuses on demonstrating substantial equivalence to a predicate device (ArcCHECK) rather than providing detailed acceptance criteria and a comprehensive study report for the device's performance.
Therefore, much of the requested information regarding detailed acceptance criteria, specific performance metrics, sample sizes for test and training sets, data provenance, ground truth establishment, expert qualifications, and MRMC studies is not available in the provided text.
However, I can extract the following based on the available information:
1. Table of Acceptance Criteria and Reported Device Performance
The document does not explicitly list quantitative acceptance criteria in a table format. Instead, it states that "Test results of the modified device have demonstrated that the device performs within its design specifications and equivalently to the predicate K142617 Model 1220 ArcCHECK device."
The primary change to the device is its MR-conditional status, achieved through material changes (stainless steel hardware instead of carbon steel). The equivalence is based on the subject device performing "as well as" the predicate.
| Acceptance Criteria (Inferred from equivalence claim) | Reported Device Performance (Inferred from equivalence claim) |
|---|---|
| Performs within design specifications. | Test results demonstrated the device performs within its design specifications. |
| Performs equivalently to the predicate K142617 Model 1220 ArcCHECK device. | Performed equivalently to the predicate K142617 Model 1220 ArcCHECK device. |
| Is as safe, as effective, and performs as well as the K142617 predicate device. | Demonstrated to be as safe, as effective, and performs as well as the K142617 predicate device. |
| MR-Conditional status. | Designed and tested for conditional use in an MR environment. |
2. Sample size used for the test set and the data provenance
The document states that the device was "tested using appropriate bench testing methods." However, it does not specify the sample size for the test set or the data provenance (e.g., country of origin, retrospective/prospective). This is typically detailed in a full test report, not a 510(k) summary.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts
The document does not provide information regarding experts used to establish ground truth or their qualifications. The testing appears to be primarily bench testing for functionality and MR compatibility, not a clinical study involving human interpretation.
4. Adjudication method for the test set
The document does not provide information regarding an adjudication method. This is not typically relevant for bench testing of a radiation measurement device.
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 was performed or mentioned. The device is a "three-dimensional (3D) ionizing radiation measurement device" for quality assurance, not an AI-powered diagnostic tool for human readers.
6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done
The device itself is a measurement tool; its performance is inherently "standalone" in the sense that it collects radiation data. The "SNC Patient" software processes this data. The document states that "Test results of the modified device have demonstrated that the device performs within its design specifications and equivalently to the predicate..." indicating standalone performance testing was conducted, but details of this standalone testing (metrics, full results) are not provided.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)
For a radiation measurement device, the "ground truth" would likely be based on established physics principles and validated reference dosimetry measurements from calibrated instruments or computational models. The document does not explicitly state the type of ground truth but implies it through "bench testing methods" and comparison to a predicate device's established performance.
8. The sample size for the training set
The device is a hardware measurement device with associated software. It does not appear to be an AI/machine learning model that requires a "training set" in the conventional sense. The "SNC Patient" software is described as "unchanged from the K142617 predicate device," suggesting its algorithms are already developed and validated.
9. How the ground truth for the training set was established
As there is no indication of an AI/machine learning training set, this information is not applicable/provided.
Ask a specific question about this device
Page 1 of 1