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Collecting 48,000 CT exams for the lung screening study of the National Lung Screening Trial.
Clark, Kenneth W; Gierada, David S; Marquez, Guillermo; Moore, Stephen M; Maffitt, David R; Moulton, Joan D; Wolfsberger, Mary A; Koppel, Paul; Phillips, Stanley R; Prior, Fred W.
Afiliación
  • Clark KW; Mallinckrodt Institute of Radiology, Washington University, 510 South Kingshighway, Saint Louis, MO 63110, USA. clarkk@mir.wustl.edu
J Digit Imaging ; 22(6): 667-80, 2009 Dec.
Article en En | MEDLINE | ID: mdl-18777192
ABSTRACT
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)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiografía Torácica / Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Tamizaje Masivo / Neoplasias Pulmonares Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Screening_studies Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2009 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiografía Torácica / Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Tamizaje Masivo / Neoplasias Pulmonares Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Screening_studies Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2009 Tipo del documento: Article País de afiliación: Estados Unidos