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Current LIDC Institutions and Principal Investigators

Five grantees funded under RFA CA-01-001.

Preliminary clinical studies show that spiral CT scanning of the lungs can improve early detection of lung cancer in high-risk individuals. However, more clinical data are needed before public health recommendations can be made for population-based screening. Image processing algorithms have the potential to assist in lesion detection on spiral CT studies, and to assess the stability or change in lesion size on serial CT studies. The use of such computer-assisted algorithms could significantly enhance the sensitivity and specificity of spiral CT lung screening, as well as lower costs by reducing physician time needed for interpretation.

The intent of the initiative is to support a consortium of institutions to develop consensus guidelines for a spiral CT lung image resource and to construct a database of spiral CT lung images. The investigators funded under this initiative will create a set of guidelines and metrics for database use and develop a database as a test-bed and showcase for those methods. The database will be available to researchers and users through the Internet and will have wide utility as a research, teaching, and training resource.

The consortium is guided by a steering committee consisting of 2 members from each of the five institutions and 2 members from the Biomedical Imaging Program.

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Last Updated: April 2003