The Lung Image Database Consortium (LIDC): An Evaluation of Radiologist Variability in the Identification of Lung Nodules on CT Scans

Rationale and Objectives The purpose of this study was to analyze the variability of experienced thoracic radiologists in the identification of lung nodules on computed tomography (CT) scans and thereby to investigate variability in the establishment of the “truth” against which nodule-based studies...

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Veröffentlicht in:Academic radiology 2007-11, Vol.14 (11), p.1409-1421
Hauptverfasser: Armato, Samuel G., PhD, McNitt-Gray, Michael F., PhD, Reeves, Anthony P., PhD, Meyer, Charles R., PhD, McLennan, Geoffrey, MD, PhD, Aberle, Denise R., MD, Kazerooni, Ella A., MD, MS, MacMahon, Heber, MD, van Beek, Edwin J.R., MD, PhD, Yankelevitz, David, MD, Hoffman, Eric A., PhD, Henschke, Claudia I., MD, PhD, Roberts, Rachael Y., MD, Brown, Matthew S., PhD, Engelmann, Roger M., MS, Pais, Richard C., BS, Piker, Christopher W., BS, Qing, David, MD, MS, Kocherginsky, Masha, PhD, Croft, Barbara Y., PhD, Clarke, Laurence P., PhD
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Sprache:eng
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Zusammenfassung:Rationale and Objectives The purpose of this study was to analyze the variability of experienced thoracic radiologists in the identification of lung nodules on computed tomography (CT) scans and thereby to investigate variability in the establishment of the “truth” against which nodule-based studies are measured. Materials and Methods Thirty CT scans were reviewed twice by four thoracic radiologists through a two-phase image annotation process. During the initial “blinded read” phase, radiologists independently marked lesions they identified as “nodule ≥3 mm (diameter),” “nodule
ISSN:1076-6332
1878-4046
DOI:10.1016/j.acra.2007.07.008