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. 2023 Jan 12;41(12):2191–2200. doi: 10.1200/JCO.22.01345

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FIG 1. — (A) Annotation of lung cancers in Sybil training. For NLST participants who were diagnosed with lung cancer within 1 year of an LDCT examination, thoracic radiologists drew two-dimensional bounding boxes (purple) on every image showing the lesion, generating a 3D volume of each cancer to assist with model training. Each image below shows a different cancer from the NLST data set. (B) Data set construction flowcharts. Disposition of patients, LDCT examinations, and individual series within LDCTs from the data sets received from the NLST (left), MGH (center), and CGMH (right). Red font indicates a data filtration step. CGMH, Chang Gung Memorial Hospital; LDCT, low-dose chest computed tomography; MGH, Massachusetts General Hospital; NLST, National Lung Screening Trial.