Literature DB >> 28830225

Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.

Chara E Rydzak1, Samuel G Armato2, Ricardo S Avila3, James L Mulshine4, David F Yankelevitz5, David S Gierada1.   

Abstract

After years of assessment through controlled clinical trials, low-dose CT screening for lung cancer is becoming part of clinical practice. As with any cancer screening test, those undergoing lung cancer screening are not being evaluated for concerning signs or symptoms, but are generally in good health and proactively trying to prevent premature death. Given the resultant obligation to achieve the screening aim of early diagnosis while also minimizing the potential for morbidity from workup of indeterminate but ultimately benign screening abnormalities, careful implementation of screening with conformance to currently recognized best practices and a focus on quality assurance is essential. In this review, we address the importance of each component of the screening process to optimize the effectiveness of CT screening, discussing options for quality assurance at each step. We also discuss the potential added advantages, quality assurance requirements and current status of quantitative imaging biomarkers related to lung cancer screening. Finally, we highlight suggestions for improvements and needs for further evidence in evaluating the performance of CT screening as it transitions from the research trial setting into daily clinical practice.

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Year:  2017        PMID: 28830225      PMCID: PMC6350468          DOI: 10.1259/bjr.20170401

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  87 in total

1.  A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: preliminary results.

Authors:  M F McNitt-Gray; E M Hart; N Wyckoff; J W Sayre; J G Goldin; D R Aberle
Journal:  Med Phys       Date:  1999-06       Impact factor: 4.071

Review 2.  Ten criteria for effective screening: their application to multislice CT screening for pulmonary and colorectal cancers.

Authors:  N A Obuchowski; R J Graham; M E Baker; K A Powell
Journal:  AJR Am J Roentgenol       Date:  2001-06       Impact factor: 3.959

3.  Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility.

Authors:  Dag Wormanns; Gerhard Kohl; Ernst Klotz; Anke Marheine; Florian Beyer; Walter Heindel; Stefan Diederich
Journal:  Eur Radiol       Date:  2003-11-13       Impact factor: 5.315

4.  Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection.

Authors:  Geoffrey D Rubin; John K Lyo; David S Paik; Anthony J Sherbondy; Lawrence C Chow; Ann N Leung; Robert Mindelzun; Pamela K Schraedley-Desmond; Steven E Zinck; David P Naidich; Sandy Napel
Journal:  Radiology       Date:  2004-11-10       Impact factor: 11.105

5.  Volumetric measurement of synthetic lung nodules with multi-detector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy.

Authors:  Jin Mo Goo; Trongtum Tongdee; Ranista Tongdee; Kwangjae Yeo; Charles F Hildebolt; Kyongtae T Bae
Journal:  Radiology       Date:  2005-06       Impact factor: 11.105

6.  Inherent variability of CT lung nodule measurements in vivo using semiautomated volumetric measurements.

Authors:  Lawrence R Goodman; Meltem Gulsun; Lacey Washington; Paul G Nagy; Kelly L Piacsek
Journal:  AJR Am J Roentgenol       Date:  2006-04       Impact factor: 3.959

7.  Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images.

Authors:  Masahito Aoyama; Qiang Li; Shigehiko Katsuragawa; Feng Li; Shusuke Sone; Kunio Doi
Journal:  Med Phys       Date:  2003-03       Impact factor: 4.071

8.  Early Lung Cancer Action Project: overall design and findings from baseline screening.

Authors:  C I Henschke; D I McCauley; D F Yankelevitz; D P Naidich; G McGuinness; O S Miettinen; D M Libby; M W Pasmantier; J Koizumi; N K Altorki; J P Smith
Journal:  Lancet       Date:  1999-07-10       Impact factor: 79.321

9.  Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy.

Authors:  Feng Li; Masahito Aoyama; Junji Shiraishi; Hiroyuki Abe; Qiang Li; Kenji Suzuki; Roger Engelmann; Shusuke Sone; Heber Macmahon; Kunio Doi
Journal:  AJR Am J Roentgenol       Date:  2004-11       Impact factor: 3.959

10.  Variations in lung cancer risk among smokers.

Authors:  Peter B Bach; Michael W Kattan; Mark D Thornquist; Mark G Kris; Ramsey C Tate; Matt J Barnett; Lillian J Hsieh; Colin B Begg
Journal:  J Natl Cancer Inst       Date:  2003-03-19       Impact factor: 13.506

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  4 in total

1.  Status of lung cancer screening.

Authors:  James L Mulshine
Journal:  J Thorac Dis       Date:  2017-11       Impact factor: 2.895

2.  The International Association for the Study of Lung Cancer Early Lung Imaging Confederation.

Authors:  James L Mulshine; Ricardo S Avila; Ed Conley; Anand Devaraj; Laurie Fenton Ambrose; Tanya Flanagan; Claudia I Henschke; Fred R Hirsch; Robert Janz; Ryutaro Kakinuma; Stephen Lam; Annette McWilliams; Peter M A Van Ooijen; Matthijs Oudkerk; Ugo Pastorino; Anthony Reeves; Patrick Rogalla; Heidi Schmidt; Daniel C Sullivan; Haije H J Wind; Ning Wu; Murry Wynes; Xie Xueqian; David F Yankelevitz; John K Field
Journal:  JCO Clin Cancer Inform       Date:  2020-02

Review 3.  Implementation of lung cancer screening in Europe: challenges and potential solutions: summary of a multidisciplinary roundtable discussion.

Authors:  John K Field; Harry deKoning; Mattijs Oudkerk; Sadia Anwar; James Mulshine; Ugo Pastorino; Wilfried Eberhardt; Helmut Prosch
Journal:  ESMO Open       Date:  2019-10-13

4.  QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications.

Authors:  Ricardo S Avila; Sean B Fain; Chuck Hatt; Samuel G Armato; James L Mulshine; David Gierada; Mario Silva; David A Lynch; Eric A Hoffman; Frank N Ranallo; John R Mayo; David Yankelevitz; Raul San Jose Estepar; Raja Subramaniam; Claudia I Henschke; Alex Guimaraes; Daniel C Sullivan
Journal:  Clin Imaging       Date:  2021-02-25       Impact factor: 2.420

  4 in total

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