aview LCS automatically detects lung nodules and classifies into 3 types of nodules: solid, non-solid, and GGN from chest CT images. It provides follow-up mode to match the nodules from previous and follow-up exam and calculate volume doubling time to show the changes in volume of the nodule.
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View AI results in the deepcOS AI Evaluator
Key benefits
Sensitivity 97%, Specificity 76% at 1-FP/scan
ROC AUC 0.93
LungRADS score according to LungRADS 1.1 guideline
Details
Regulatory:
CE
FDA
CT
Chest
Lungs
Oncology
Cardiopulmonary
Clinical Applications:
CE
FDA
CT
Chest
Lungs
Oncology
Cardiopulmonary
Modality:
CE
FDA
CT
Chest
Lungs
Oncology
Cardiopulmonary
Body Part:
CE
FDA
CT
Chest
Lungs
Oncology
Cardiopulmonary
Peer-reviewed publications
Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology. Read
Outstanding negative prediction performance of solid pulmonary nodule volume AI for ultra-LDCT baseline lung cancer screening risk stratification. Read
Feasibility of implementing a national lung cancer screening program: Interim results from the Korean Lung Cancer Screening Project (K-LUCAS). Read