Literature DB >> 28666723

The Reproducibility of Changes in Diagnostic Figures of Merit Across Laboratory and Clinical Imaging Reader Studies.

Frank W Samuelson1, Craig K Abbey2.   

Abstract

RATIONALE AND
OBJECTIVES: In this paper we examine which comparisons of reading performance between diagnostic imaging systems made in controlled retrospective laboratory studies may be representative of what we observe in later clinical studies. The change in a meaningful diagnostic figure of merit between two diagnostic modalities should be qualitatively or quantitatively comparable across all kinds of studies.
MATERIALS AND METHODS: In this meta-study we examine the reproducibility of relative measures of sensitivity, false positive fraction (FPF), area under the receiver operating characteristic (ROC) curve, and expected utility across laboratory and observational clinical studies for several different breast imaging modalities, including screen film mammography, digital mammography, breast tomosynthesis, and ultrasound.
RESULTS: Across studies of all types, the changes in the FPFs yielded very small probabilities of having a common mean value. The probabilities of relative sensitivity being the same across ultrasound and tomosynthesis studies were low. No evidence was found for different mean values of relative area under the ROC curve or relative expected utility within any of the study sets.
CONCLUSION: The comparison demonstrates that the ratios of areas under the ROC curve and expected utilities are reproducible across laboratory and clinical studies, whereas sensitivity and FPF are not. Published by Elsevier Inc.

Entities:  

Keywords:  AUC; Sensitivity; reproducibility; specificity

Mesh:

Year:  2017        PMID: 28666723      PMCID: PMC5965679          DOI: 10.1016/j.acra.2017.05.007

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


  59 in total

1.  Receiver operating characteristic curves and their use in radiology.

Authors:  Nancy A Obuchowski
Journal:  Radiology       Date:  2003-10       Impact factor: 11.105

2.  From the laboratory to the clinic: the "prevalence effect".

Authors:  David Gur; Howard E Rockette; Thomas Warfel; Joan M Lacomis; Carl R Fuhrman
Journal:  Acad Radiol       Date:  2003-11       Impact factor: 3.173

Review 3.  ROC analysis in medical imaging: a tutorial review of the literature.

Authors:  Charles E Metz
Journal:  Radiol Phys Technol       Date:  2007-10-27

4.  Biases in the assessment of diagnostic tests.

Authors:  C B Begg
Journal:  Stat Med       Date:  1987-06       Impact factor: 2.373

5.  Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data.

Authors:  D P Chakraborty
Journal:  Med Phys       Date:  1989 Jul-Aug       Impact factor: 4.071

Review 6.  Toward consensus on quantitative assessment of medical imaging systems.

Authors:  C E Metz; R F Wagner; K Doi; D G Brown; R M Nishikawa; K J Myers
Journal:  Med Phys       Date:  1995-07       Impact factor: 4.071

7.  Is an ROC-type response truly always better than a binary response in observer performance studies?

Authors:  David Gur; Andriy I Bandos; Howard E Rockette; Margarita L Zuley; Christiane M Hakim; Denise M Chough; Marie A Ganott; Jules H Sumkin
Journal:  Acad Radiol       Date:  2010-03-16       Impact factor: 3.173

8.  Diagnostic performance of digital versus film mammography for breast-cancer screening.

Authors:  Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner
Journal:  N Engl J Med       Date:  2005-09-16       Impact factor: 91.245

9.  Clinical comparison of full-field digital mammography and screen-film mammography for detection of breast cancer.

Authors:  John M Lewin; Carl J D'Orsi; R Edward Hendrick; Lawrence J Moss; Pamela K Isaacs; Andrew Karellas; Gary R Cutter
Journal:  AJR Am J Roentgenol       Date:  2002-09       Impact factor: 3.959

10.  Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers.

Authors:  Maryellen L Giger; Marc F Inciardi; Alexandra Edwards; John Papaioannou; Karen Drukker; Yulei Jiang; Rachel Brem; Jeremy Bancroft Brown
Journal:  AJR Am J Roentgenol       Date:  2016-04-04       Impact factor: 3.959

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