Integrated Lung Nodule Database Consisting of CT Images, Structured Imaging Findings and Clinical Information

Abstract

One of the most important factors for research and development of computer aided detection/diagnosis is an integrated large-scale database which has a link between the medical image and many types of incidental information. We built an integrated lung nodule database which contains 1240 cases. In this database, all cases include the following data: (1) thin slice CT image data; (2) the position information of the lung nodule; (3) structured imaging findings given by consensus of two board-certified radiologists; (4) the confirmed diagnosis; (5) clinical information; and (6), the diagnosis reasoning of the lung nodule given by board-certified radiologists. In this study, we introduce the details of this database and the efforts of the construction.