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J Digit Imaging ; 22(6): 667-80, 2009 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-18777192

RESUMEN

From 2002-2004, the Lung Screening Study (LSS) of the National Lung Screening Trial (NLST) enrolled 34,614 participants, aged 55-74 years, at increased risk for lung cancer due to heavy cigarette smoking. Participants, randomized to standard chest X-ray (CXR) or computed tomography (CT) arms at ten screening centers, received up to three imaging screens for lung cancer at annual intervals. Participant medical histories and radiologist-interpreted screening results were transmitted to the LSS coordinating center, while all images were retained at local screening centers. From 2005-2007, all CT exams were uniformly de-identified and delivered to a central repository, the CT Image Library (CTIL), on external hard drives (94%) or CD/DVD (5.9%), or over a secure Internet connection (0.1%). Of 48,723 CT screens performed, only 176 (0.3%) were unavailable (lost, corrupted, compressed) while 48,547 (99.7%) were delivered to the CTIL. Described here is the experience organizing, implementing, and adapting the clinical-trial workflow surrounding the image retrieval, de-identification, delivery, and archiving of available LSS-NLST CT exams for the CTIL, together with the quality assurance procedures associated with those collection tasks. This collection of CT exams, obtained in a specific, well-defined participant population under a common protocol at evenly spaced intervals, and its attending demographic and clinical information, are now available to lung-disease investigators and developers of computer-aided-diagnosis algorithms. The approach to large scale, multi-center trial CT image collection detailed here may serve as a useful model, while the experience reported should be valuable in the planning and execution of future equivalent endeavors.


Asunto(s)
Neoplasias Pulmonares/diagnóstico , Tamizaje Masivo/métodos , Interpretación de Imagen Radiográfica Asistida por Computador , Radiografía Torácica/métodos , Tomografía Computarizada por Rayos X/métodos , Anciano , Recolección de Datos , Detección Precoz del Cáncer , Femenino , Humanos , Neoplasias Pulmonares/epidemiología , Masculino , Sistemas de Registros Médicos Computarizados , Persona de Mediana Edad , Control de Calidad , Sistemas de Información Radiológica/estadística & datos numéricos , Medición de Riesgo , Estados Unidos
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