Literature DB >> 17111584

Description and implementation of a quality control program in an imaging-based clinical trial.

Christopher H Cagnon1, Dianna D Cody, Michael F McNitt-Gray, J Anthony Seibert, Philip F Judy, Denise R Aberle.   

Abstract

RATIONALE AND
OBJECTIVES: The American College of Radiology Imaging Network is participating in the National Lung Screening Trial, a large, multicenter, randomized controlled trial, comparing multidetector helical computed tomography (MDCT) versus chest radiography (CXR) in screening for lung cancer. Because the threshold for detection of disease is an inherent function of image quality, and consistent image quality is necessary to track changes in suspicious findings, our purpose was to develop an image quality control (QC) program across all clinical sites for both modalities.
MATERIALS AND METHODS: The primary goals of the QC program include standardization of imaging protocols, certification of imaging equipment, and ongoing, periodic evaluation of the equipment calibration and image quality. Minimum standards for equipment and standardized cross-platform acquisition protocols are achieved via radiologist and physicist attestation forms and web-distributed technique charts, respectively. Imaging equipment performance standards are implemented through an initial machine certification process that includes equipment calibration. Ongoing assessment of equipment performance and calibration, as well as adherence to established imaging protocols. is accomplished via periodic submission of calibration records and phantom images. Participant-specific image acquisition parameters are entered into a web-based centralized database and variations from established protocols are automatically flagged for review. Participant radiation dose can be estimated from the image acquisition parameters applied to the imaging equipment calibration measurements. A radiologist visual review committee also evaluates participant images for diagnostic quality. Data are collected from 23 independent centers, representing 14 models of MDCT scanners from four manufacturers, and CXR systems that include film-screen, computed radiography, and direct digital radiography systems.
RESULTS: Widespread imaging protocol variation in extant clinical practice-as well as variability in equipment technology, image acquisition parameters, manufacturer terminology, and user interface-have required careful standardization as a prerequisite to trial participation and ongoing image QC. Acceptable ranges for image acquisition parameters have been refined to accommodate continuously evolving equipment platforms and the scope of participant size and body habitus.
CONCLUSION: Standardization of imaging protocols is a critical component of image-based clinical trials, predicated on ongoing dialogue between sites and a centralized review committee.

Entities:  

Mesh:

Year:  2006        PMID: 17111584     DOI: 10.1016/j.acra.2006.08.015

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  26 in total

1.  The National Lung Screening Trial: overview and study design.

Authors:  Denise R Aberle; Christine D Berg; William C Black; Timothy R Church; Richard M Fagerstrom; Barbara Galen; Ilana F Gareen; Constantine Gatsonis; Jonathan Goldin; John K Gohagan; Bruce Hillman; Carl Jaffe; Barnett S Kramer; David Lynch; Pamela M Marcus; Mitchell Schnall; Daniel C Sullivan; Dorothy Sullivan; Carl J Zylak
Journal:  Radiology       Date:  2010-11-02       Impact factor: 11.105

2.  Normalized CT dose index of the CT scanners used in the National Lung Screening Trial.

Authors:  Dianna D Cody; Hyun-Jung Kim; Christopher H Cagnon; Frederick J Larke; Michael M McNitt-Gray; Randell L Kruger; Michael J Flynn; J Anthony Seibert; Philip F Judy; Xizeng Wu
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

3.  Toward clinically usable CAD for lung cancer screening with computed tomography.

Authors:  Matthew S Brown; Pechin Lo; Jonathan G Goldin; Eran Barnoy; Grace Hyun J Kim; Michael F McNitt-Gray; Denise R Aberle
Journal:  Eur Radiol       Date:  2014-07-24       Impact factor: 5.315

4.  Semi-automated pulmonary nodule interval segmentation using the NLST data.

Authors:  Yoganand Balagurunathan; Andrew Beers; Jayashree Kalpathy-Cramer; Michael McNitt-Gray; Lubomir Hadjiiski; Bensheng Zhao; Jiangguo Zhu; Hao Yang; Stephen S F Yip; Hugo J W L Aerts; Sandy Napel; Dmitrii Cherezov; Kenny Cha; Heang-Ping Chan; Carlos Flores; Alberto Garcia; Robert Gillies; Dmitry Goldgof
Journal:  Med Phys       Date:  2018-02-19       Impact factor: 4.071

5.  Association of Coronary Artery Calcification and Mortality in the National Lung Screening Trial: A Comparison of Three Scoring Methods.

Authors:  Caroline Chiles; Fenghai Duan; Gregory W Gladish; James G Ravenel; Scott G Baginski; Bradley S Snyder; Sarah DeMello; Stephanie S Desjardins; Reginald F Munden
Journal:  Radiology       Date:  2015-03-09       Impact factor: 11.105

6.  Results of the two incidence screenings in the National Lung Screening Trial.

Authors:  Denise R Aberle; Sarah DeMello; Christine D Berg; William C Black; Brenda Brewer; Timothy R Church; Kathy L Clingan; Fenghai Duan; Richard M Fagerstrom; Ilana F Gareen; Constantine A Gatsonis; David S Gierada; Amanda Jain; Gordon C Jones; Irene Mahon; Pamela M Marcus; Joshua M Rathmell; JoRean Sicks
Journal:  N Engl J Med       Date:  2013-09-05       Impact factor: 91.245

7.  Inter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data.

Authors:  Andrew J Buckler; Jovanna Danagoulian; Kjell Johnson; Adele Peskin; Marios A Gavrielides; Nicholas Petrick; Nancy A Obuchowski; Hubert Beaumont; Lubomir Hadjiiski; Rudresh Jarecha; Jan-Martin Kuhnigk; Ninad Mantri; Michael McNitt-Gray; Jan H Moltz; Gergely Nyiri; Sam Peterson; Pierre Tervé; Christian Tietjen; Etienne von Lavante; Xiaonan Ma; Samantha St Pierre; Maria Athelogou
Journal:  Acad Radiol       Date:  2015-09-14       Impact factor: 3.173

8.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks
Journal:  N Engl J Med       Date:  2011-06-29       Impact factor: 91.245

9.  CT quality assurance in the lung screening study component of the National Lung Screening Trial: implications for multicenter imaging trials.

Authors:  David S Gierada; Kavita Garg; Hrudaya Nath; Diane C Strollo; Richard M Fagerstrom; Melissa B Ford
Journal:  AJR Am J Roentgenol       Date:  2009-08       Impact factor: 3.959

10.  Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.

Authors:  Berkman Sahiner; Heang-Ping Chan; Lubomir M Hadjiiski; Philip N Cascade; Ella A Kazerooni; Aamer R Chughtai; Chad Poopat; Thomas Song; Luba Frank; Jadranka Stojanovska; Anil Attili
Journal:  Acad Radiol       Date:  2009-12       Impact factor: 3.173

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