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510(k) Data Aggregation

    K Number
    K241770
    Date Cleared
    2025-03-05

    (258 days)

    Product Code
    Regulation Number
    892.2090
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K212783

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Prostate MR AI is a plug-in Radiological Computer Assisted Detection and Diagnosis Software device intended to be used · with a separate hosting application · as a concurrent reading aid to assist radiologists in the interpretation of a prostate MRI examination acquired according to the PI-RADS standard · in adult men (40 years and older) with suspected cancer in treatment naïve prostate glands The plug-in software analyzes non-contrast T2 weighted (T2W) and diffusion weighted image (DWI) series to segment the prostate gland and to provide an automatic detection and segmentation of regions suspicious for cancer. For each suspicious region detected, the algorithm moreover provides a lesion Score, by way of PI-RADS interpretation suggestion. Outputs of the device should be interpreted consistently with ACR recommendations using all available MR data (e.g., dynamic contrast enhanced images [if available]). Patient management decisions should not be made solely based on analysis by the Prostate MR AI algorithm.

    Device Description

    This premarket notification addresses the Siemens Healthineers Prostate MR AI (VA10A) Radiological Computer Assisted Detection and Diagnosis Software (CADe/CADx). Prostate MR AI is a Computer Assisted Detection and Diagnosis algorithm designed to plug into a hosting workflow that assists radiologists in the detection of suspicious lesions and their classification. It is used as a concurrent reading aid to assist radiologists in the interpretation of a prostate MRI examination acquired according to the PI-RADS standard. The automatic lesion detection requires transversal T2W and DWI series as inputs. The device automatically exports a list of detected prostate regions that are suspicious for cancer (each list entry consists of contours and a classification by Score and Level of Suspicion (LoS)), a computed suspicion map, and a per-case LoS. The results of the Prostate MR AI plug-in (with the case-level LoS, lesion center points, lesion diameters, lesion ADC median, lesion 10th percentile, suspicion map, and non-PZ segmentation considered optional) are to be shown in a hosting application that allows the radiologist to view the original case, as well as confirm, reject, or edit lesion candidates with their contours and Scores as generated by the Prostate MR AI plug-in. Moreover, the radiologist can add lesions with contours and PI-RADS scores and finalize the case. In addition, the outputs include an automatically computed prostate segmentation, as well as sub-segmentations of the peripheral zone and the rest of the prostate (non-PZ). The algorithm will augment the prostate workflow of currently cleared syngo.MR General Engine if activated via a separate license on the General Engine.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and the study proving the device meets them, based on the provided text:

    Acceptance Criteria and Reported Device Performance

    Acceptance CriteriaReported Device Performance
    Automatic Prostate Segmentation
    Median Dice score between AI algorithm results and ground truth masks exceeds 0.9.The median of the Dice score between the AI algorithm results and the corresponding ground truth masks exceeds the threshold of 0.9.
    Median normalized volume difference between algorithm results and ground truth masks is within ±5%.The median of the normalized volume difference between the algorithm results and the corresponding ground truth masks is within a ±5% range.
    AI algorithm results are statistically non-inferior to individual reader variability (5% margin of error, 5% significance level).The AI algorithm results as compared to any individual reader are statistically non-inferior based on variabilities that existed among the individual readers within the 5% margin of error and 5% significance level.
    Prostate Lesion Detection and Classification
    Case-level sensitivity of lesion detection ≥ 0.80 for both radiology and pathology ground truth.The case-level sensitivity of the lesion detection is equal or greater than 0.80 for both radiology and pathology ground truth.
    False positive rate per case of lesion detection
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