Aview:LCS is the AI CAD system to detect and help diagnose lung nodules on chest CT images according to the LUNG-RADS.
Deep learning AI technology detects even the smallest nodules that the reader might miss. It provides 3D size and volume information by segmenting nodules, and automatically classifies solid, part-solid, non-solid. It calculates the analyzed quantitative results to generate a report. It matches nodules from previous and follow-up examinations to provide changes in nodule by measuring the volume of lung nodules to see the growth and risk of nodules
It provides guidelines according to European (EUPS), US (Lung-RADS), and Korean (K-lung-RADS) standards.
Applications and diseases
During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion.
Nodule detection, nodule classification, nodule volume quantification, VDT, Lung-RADS score, Emphysema score, CAC-score.
Coreline’s AVIEW LCS Plus provides integrated detection and fully automatic analysis of big 3 diseases from a single examination: Lung cancer, chronic obstructive pulmonary disease & cardiovascular disease.
Sensitivity & Specificity: Target lung nodule detection performance is Sensitivity 97%; Specificity 76% at 1-FP/scan
The found nodules are quickly classified according to ‘Lung-RADS’.
By automatically matching the results of previous and follow-up examinations, changes in nodules can be immediately identified.
The nodule volume doubling time is automatically calculated, allowing tracking and observation of key nodules convenient.
Evidence from clinical trial to evaluate the eectiveness of AVIEW Lung Nodule CAD, Clinical result from the Korean Ministry of Food and Drug Safety, 2019~2020.
Harriet L. Lancaster et al, “Outstanding negative prediction performance of solid pulmonary nodule volume AI for ultra-LDCT baseline lung cancer screening risk stratification”, Lung Cancer 2022(2022) doi: 10.1016