Intended Use

Intended for the review, analysis, and reporting of thoracic CT images to characterize lung nodules including size, volume, malignancy risk, and more, over single or multiple studies. Integrates with FDA-cleared CAD for automatic nodule detection.

Technology

Software uses deep learning algorithms for lung and lobe segmentation, semi-automatic nodule measurement (segmentation), volumetric and 3D measurements, cancer risk calculation based on PANCAN model, and CAD integration for automatic nodule detection. Features include automated nodule matching for follow-up, Lung-RADS categorization, and report generation.

Performance

No clinical study was required due to equivalence with the predicate. Nonclinical testing included extensive software verification and validation such as unit tests, system tests, and performance tests. The device passed all pre-defined criteria ensuring functionality, reliability, and safety.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    6/23/2020

    3 months
  • 2

    FDA Approval

    10/16/2020

Other devices from Coreline Soft Co., Ltd.

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