Literature DB >> 2753640

Some practical issues of experimental design and data analysis in radiological ROC studies.

C E Metz1.   

Abstract

Receiver operating characteristic (ROC) analysis has been used in a broad variety of medical imaging studies during the past 15 years, and its advantages over more traditional measures of diagnostic performance are now clearly established. But despite the essential simplicity of the approach, workers in the field often find--sometimes only after an ROC study is under way--that a number of subtle issues related to experimental design and data analysis must be confronted in practice. Many of these issues have not been discussed in the literature in detail, and most are not well known. The purposes of this paper are to make users of ROC methodology in medical imaging aware of potential problems that should be confronted before an ROC study is begun and to indicate, at least broadly, how those problems may be dealt with, given the present state of the art. Some of the issues raised here can be addressed adequately by easily prescribed techniques, whereas others remain difficult and will be resolved fully only by new methodologic developments.

Mesh:

Year:  1989        PMID: 2753640     DOI: 10.1097/00004424-198903000-00012

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  122 in total

1.  Low-cost soft-copy display accuracy in the detection of pulmonary nodules by single-exposure dual-energy subtraction: comparison with hard-copy viewing.

Authors:  S Kido; K Kuriyama; N Hosomi; E Inoue; C Kuroda; T Horai
Journal:  J Digit Imaging       Date:  2000-02       Impact factor: 4.056

2.  Image compression and chest radiograph interpretation: image perception comparison between uncompressed chest radiographs and chest radiographs stored using 10:1 JPEG compression.

Authors:  D P Beall; P D Shelton; T V Kinsey; M C Horton; B J Fortman; S Achenbach; V Smirnoff; D L Courneya; B Carpenter; J T Gironda
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

3.  Is there epidemiology in Russia?

Authors:  V Vlassov
Journal:  J Epidemiol Community Health       Date:  2000-10       Impact factor: 3.710

4.  Mammographic system performance using an image reading qualification method.

Authors:  Silvio R Pires; Regina B Medeiros
Journal:  Radiol Phys Technol       Date:  2012-05-01

5.  A computerized scheme for lung nodule detection in multiprojection chest radiography.

Authors:  Wei Guo; Qiang Li; Sarah J Boyce; H Page McAdams; Junji Shiraishi; Kunio Doi; Ehsan Samei
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

6.  Detection of noncalcified pulmonary nodules on low-dose MDCT: comparison of the sensitivity of two CAD systems by using a double reference standard.

Authors:  A R Larici; M Amato; P Ordóñez; F Maggi; L Menchini; A Caulo; L Calandriello; G Vallati; S Giunta; M Crecco; L Bonomo
Journal:  Radiol Med       Date:  2012-02-10       Impact factor: 3.469

Review 7.  Systematic review: bias in imaging studies - the effect of manipulating clinical context, recall bias and reporting intensity.

Authors:  Darren Boone; Steve Halligan; Susan Mallett; Stuart A Taylor; Douglas G Altman
Journal:  Eur Radiol       Date:  2011-09-30       Impact factor: 5.315

8.  Digital breast tomosynthesis is comparable to mammographic spot views for mass characterization.

Authors:  Mitra Noroozian; Lubomir Hadjiiski; Sahand Rahnama-Moghadam; Katherine A Klein; Deborah O Jeffries; Renee W Pinsky; Heang-Ping Chan; Paul L Carson; Mark A Helvie; Marilyn A Roubidoux
Journal:  Radiology       Date:  2011-10-13       Impact factor: 11.105

9.  An alternate method for using a visual discrimination model (VDM) to optimize soft-copy display image quality.

Authors:  Dev P Chakraborty
Journal:  J Soc Inf Disp       Date:  2006-10       Impact factor: 2.140

10.  Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves.

Authors:  Lorenzo L Pesce; Charles E Metz
Journal:  Acad Radiol       Date:  2007-07       Impact factor: 3.173

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