Collecting 48,000 CT Exams for the Lung Screening Study of the National Lung Screening Trial

被引:18
作者
Clark, Kenneth W. [1 ]
Gierada, David S. [1 ]
Marquez, Guillermo [2 ]
Moore, Stephen M. [1 ]
Maffitt, David R. [1 ]
Moulton, Joan D. [1 ]
Wolfsberger, Mary A. [1 ]
Koppel, Paul [1 ]
Phillips, Stanley R. [1 ]
Prior, Fred W. [1 ]
机构
[1] Washington Univ, Mallinckrodt Inst Radiol, St Louis, MO 63110 USA
[2] Natl Canc Inst, Early Detect Res Grp, Bethesda, MD USA
关键词
Cancer detection; chest CT; clinical trial; computed tomography; de-identification; lung diseases; digital image management; image database; image libraries; national lung screening trial; lung screening study; CT image library; IMPLEMENTATION; PROSTATE;
D O I
10.1007/s10278-008-9145-9
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:667 / 680
页数:14
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