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510(k) Data Aggregation
(54 days)
The Barcode Conical Collimator Verification device assists operators of radiation therapy devices by preventing irradiation until the conical collimator required by the treatment plan is in place.
The Barcode Conical Collimator Verification (BCCV) device provides verification of conical collimators for the Varian High Energy Clinac (K100890) and TrueBeam (K092871) devices. Conical collimators are used during stereotactic radiodurgery (SRS) treatments to deliver small diameter treatment beams. The BCCV will prevent treatment until the conical collimator, as required by the treatment plan, has been scanned.
The provided text describes a medical device, the Barcode Conical Collimator Verification (BCCV) system, and its FDA 510(k) clearance. However, it does not contain information about acceptance criteria, the study details (sample size, data provenance, ground truth establishment, expert qualifications, adjudication methods, MRMC studies, or standalone performance), or training set details.
The document is a 510(k) summary for premarket notification, which primarily focuses on establishing substantial equivalence to a predicate device rather than providing detailed clinical efficacy or performance study results against specific acceptance criteria.
Therefore, I cannot fulfill your request for:
- A table of acceptance criteria and the reported device performance: This information is not present. The document only describes the device's function ("prevents treatment until the conical collimator, as required by the treatment plan, has been scanned"). It doesn't quantify performance metrics like accuracy, reliability percentages, or failure rates.
- Sample size used for the test set and the data provenance: Not mentioned.
- Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not mentioned.
- Adjudication method for the test set: Not mentioned.
- If a multi-reader multi-case (MRMC) comparative effectiveness study was done, and if so, what was the effect size of how much human readers improve with AI vs without AI assistance: Not mentioned. This device is an automated verification system, not an AI-assisted diagnostic tool for human readers.
- If a standalone (i.e. algorithm only without human-in-the loop performance) was done: The device's function implicitly describes a standalone automated verification process, but no specific study details are provided.
- The type of ground truth used: Not mentioned.
- The sample size for the training set: Not mentioned.
- How the ground truth for the training set was established: Not mentioned.
In summary, the provided document is a regulatory submission for device clearance and does not contain the detailed performance study information you've requested. Such information would typically be found in performance data sections of the full 510(k) submission, which is not publicly available in this excerpt, or in separate scientific publications or internal validation reports.
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