The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule detection, classification, and quantitative assessment can be facilitated through a well-characterized repository of computed tomography (CT) scans. The Lung Image Database Consortium (LIDC) and Image Database Resour...

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Published in:	Medical physics (Lancaster) Vol. 38; no. 2; pp. 915 - 931
Main Authors:	Armato, Samuel G., McLennan, Geoffrey, Bidaut, Luc, McNitt-Gray, Michael F., Meyer, Charles R., Reeves, Anthony P., Zhao, Binsheng, Aberle, Denise R., Henschke, Claudia I., Hoffman, Eric A., Kazerooni, Ella A., MacMahon, Heber, van Beek, Edwin J. R., Yankelevitz, David, Biancardi, Alberto M., Bland, Peyton H., Brown, Matthew S., Engelmann, Roger M., Laderach, Gary E., Max, Daniel, Pais, Richard C., Qing, David P.-Y., Roberts, Rachael Y., Smith, Amanda R., Starkey, Adam, Batra, Poonam, Caligiuri, Philip, Farooqi, Ali, Gladish, Gregory W., Jude, C. Matilda, Munden, Reginald F., Petkovska, Iva, Quint, Leslie E., Schwartz, Lawrence H., Sundaram, Baskaran, Dodd, Lori E., Fenimore, Charles, Gur, David, Petrick, Nicholas, Freymann, John, Kirby, Justin, Hughes, Brian, Vande Casteele, Alessi, Gupte, Sangeeta, Sallam, Maha, Heath, Michael D., Kuhn, Michael H., Dharaiya, Ekta, Burns, Richard, Fryd, David S., Salganicoff, Marcos, Anand, Vikram, Shreter, Uri, Vastagh, Stephen, Croft, Barbara Y., Clarke, Laurence P.
Format:	Journal Article
Language:	English
Published:	United States American Association of Physicists in Medicine 01.02.2011 U.S. Government
Subjects:	60 APPLIED LIFE SCIENCES Cancer CAT SCANNING CLASSIFICATION Computed tomography computed tomography (CT) Computer aided diagnosis Computer software computerised tomography computer‐aided diagnosis (CAD) Databases, Factual DIAGNOSIS Diagnosis, Computer-Assisted diagnostic radiography Digital radiography Humans interobserver variability lung Lung - diagnostic imaging Lung Neoplasms - diagnostic imaging Lung Neoplasms - pathology lung nodule LUNGS medical computing Medical image quality Medical image reconstruction Medical imaging NEOPLASMS Quality Control Radiation Imaging Physics Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Radiologists Reference Standards thoracic imaging Tomography, X-Ray Computed - methods Tomography, X-Ray Computed - standards Tumor Burden VALIDATION visual databases XML thoracic imaging interobserver variability computed tomography (CT) lung nodule computer-aided diagnosis (CAD)
ISSN:	0094-2405, 2473-4209, 0094-2405
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Summary:	Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule detection, classification, and quantitative assessment can be facilitated through a well-characterized repository of computed tomography (CT) scans. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI) completed such a database, establishing a publicly available reference for the medical imaging research community. Initiated by the National Cancer Institute (NCI), further advanced by the Foundation for the National Institutes of Health (FNIH), and accompanied by the Food and Drug Administration (FDA) through active participation, this public-private partnership demonstrates the success of a consortium founded on a consensus-based process. Methods: Seven academic centers and eight medical imaging companies collaborated to identify, address, and resolve challenging organizational, technical, and clinical issues to provide a solid foundation for a robust database. The LIDC/IDRI Database contains 1018 cases, each of which includes images from a clinical thoracic CT scan and an associated XML file that records the results of a two-phase image annotation process performed by four experienced thoracic radiologists. In the initial blinded-read phase, each radiologist independently reviewed each CT scan and marked lesions belonging to one of three categories (“ nodule ≥ 3 mm ,” “ nodule < 3 mm ,” and “non- nodule ≥ 3 mm ”). In the subsequent unblinded-read phase, each radiologist independently reviewed their own marks along with the anonymized marks of the three other radiologists to render a final opinion. The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus. Results: The Database contains 7371 lesions marked “nodule” by at least one radiologist. 2669 of these lesions were marked “ nodule ≥ 3 mm ” by at least one radiologist, of which 928 (34.7%) received such marks from all four radiologists. These 2669 lesions include nodule outlines and subjective nodule characteristic ratings. Conclusions: The LIDC/IDRI Database is expected to provide an essential medical imaging research resource to spur CAD development, validation, and dissemination in clinical practice.
Bibliography:	Present address: University of Dundee–Ninewells Hospital and Medical School, Clinical Research Centre (CRC), James Arrott Drive, Dundee DD1 9SY, Scotland, United Kingdom. s‐armato@uchicago.edu Present address: University of Texas, MD Anderson Cancer Center, Houston, Texas 77030. Present address: National Institute of Allergy and Infectious Diseases, 6700B Rockledge Drive, Bethesda, Maryland 20892. Present address: VuEssence, Inc., Odessa, Florida 33556. Present address: VA Medical Center West Los Angeles, 11301 Wilshire Boulevard, Building 500, Los Angeles, California 90073. Present address: Department of Radiology, Columbia University Medical Center, 710 West 168th Street, NI‐B‐04H, New York, New York 10032. Present address: Department of Radiology, University of Utah, 30 North 1900 East, Room Number 1A71, Salt Lake City, Utah 84132. Author to whom correspondence should be addressed. Fax: 773‐702‐0371; Electronic mail Present address: Department of Internal Medicine, University Medical Center–LSU, Lafayette, Louisiana 70518. Present address: Clinical Research Imaging Centre, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, United Kingdom. Present address: BIDMC–Beth Israel Deaconess Medical Center, Radiology W CC‐3, 330 Brookline Avenue, Boston, Massachusetts 02215. Present address: Department of Radiology, Columbia University Medical Center–New York Presbyterian Hospital, 180 Fort Washington Avenue, Harkness Pavilion–HP 3‐320, New York, New York 10032. Previous address: Department of Radiology, Weill Cornell Medical College, New York, New York. Present address: ActiViews, Inc., 10936 North Port Washington Road, Suite 134, Mequon, Wisconsin 53092. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author to whom correspondence should be addressed. Fax: 773-702-0371; Electronic mail: s-armato@uchicago.edu Present address: Department of Radiology, Columbia University Medical Center, 710 West 168th Street, NI-B-04H, New York, New York 10032. Present address: Department of Radiology, Columbia University Medical Center–New York Presbyterian Hospital, 180 Fort Washington Avenue, Harkness Pavilion–HP 3-320, New York, New York 10032. Present address: BIDMC–Beth Israel Deaconess Medical Center, Radiology W CC-3, 330 Brookline Avenue, Boston, Massachusetts 02215.
ISSN:	0094-2405 2473-4209 0094-2405
DOI:	10.1118/1.3528204