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.
RCT Entities:
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.
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
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
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
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
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
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
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
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
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
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