Intended Use

The iCAS-LV is intended to receive multi-phase volume datasets of reconstructed studies from PACS devices, to process them and to transfer the processing output to the PACS in DICOM format. It is a PC-based, self-contained, noninvasive image analysis software application. The device provides tools for visualization, measurements, segmentation, annotation, images registration, processing, and reporting. It supports physicians in visualization of CT reconstructed images and evaluation of physician-identified liver lesions, including size, shape, position and changes over time.

Technology

The iCAS-LV software workflow includes automated image registration, lesion segmentation using 3D U-Net deep learning models, interactive lesion labeling and correction by radiologists, semi-automatic lesion matching between scans, and quantitative analysis of lesion volume and diameter changes over time. It processes multi-phase CT volume datasets in DICOM format and outputs quantitative data to PACS systems.

Performance

Performance validation includes software verification and validation of unit, integration, and requirements testing, phantom testing with CT liver phantoms comparing algorithm volume and diameter estimates to expert radiologists, and clinical data analysis of 108 patients with 2,127 liver lesions showing strong agreement of iCAS volumetric assessment with radiologist ground truth. Testing covered multiple scanner vendors and international datasets.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    6/9/2023

    8 months
  • 2

    FDA Approval

    3/1/2024

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