Intended Use

Intended for review, analysis, and reporting of thoracic CT images to characterize lung nodules in single or multiple studies, including nodule type, location, size, volume, HU values, mass, volumetric measures, volume doubling time, and Lung-RADS classification.

Technology

Semi-automatic nodule measurement (segmentation), maximal plane, 3D and volumetric measurements; integration with FDA-cleared Mevis CAD for automatic detection; cancer risk calculation using PANCAN model; Lung-RADS scoring; follow-up with nodule matching and volume doubling time calculation; deep learning based lung and lobe segmentation.

Performance

Nonclinical testing including unit, system, and integration tests were performed. Software verification and validation confirmed functionality, performance, and reliability. Accuracy of nodule segmentation, matching, risk calculation (PANCAN), volume doubling time, and Lung-RADS calculation was confirmed. Auto-segmentation algorithm was validated on Korean and NLST datasets with expert review and dice similarity coefficients.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    11/21/2019

    5 months
  • 2

    FDA Approval

    5/5/2020

Other devices from Coreline Soft Co., Ltd

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