Literature DB >> 20821157

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

Charles E Metz1.   

Abstract

Receiver operating characteristic (ROC) analysis measures the "diagnostic accuracy" of a medical imaging system, which represents the second level of diagnostic efficacy in the hierarchical model described by Fryback and Thornbury (Med Decis Making 11:88-94, 1991). After describing the historical origins of ROC analysis, this paper reviews the importance of sampling cases appropriately, designing an observer study to avoid bias, and collecting data on a useful scale. A variety of methods for fitting ROC curves to observer data and testing the statistical significance of apparent differences are then reported. Finally, generalized forms of ROC analysis that require lesion localization or allow more than two states of truth are surveyed briefly.

Mesh:

Year:  2007        PMID: 20821157     DOI: 10.1007/s12194-007-0002-1

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  101 in total

1.  Power estimation for the Dorfman-Berbaum-Metz method.

Authors:  Stephen L Hillis; Kevin S Berbaum
Journal:  Acad Radiol       Date:  2004-11       Impact factor: 3.173

Review 2.  Receiver operating characteristic analysis: a tool for the quantitative evaluation of observer performance and imaging systems.

Authors:  Charles E Metz
Journal:  J Am Coll Radiol       Date:  2006-06       Impact factor: 5.532

3.  Statistical comparison of two ROC-curve estimates obtained from partially-paired datasets.

Authors:  C E Metz; B A Herman; C A Roe
Journal:  Med Decis Making       Date:  1998 Jan-Mar       Impact factor: 2.583

4.  Ordinal regression methodology for ROC curves derived from correlated data.

Authors:  A Y Toledano; C Gatsonis
Journal:  Stat Med       Date:  1996-08-30       Impact factor: 2.373

Review 5.  Form of empirical ROCs in discrimination and diagnostic tasks: implications for theory and measurement of performance.

Authors:  J A Swets
Journal:  Psychol Bull       Date:  1986-03       Impact factor: 17.737

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.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

8.  The effect of verification on the assessment of imaging techniques.

Authors:  G Revesz; H L Kundel; M Bonitatibus
Journal:  Invest Radiol       Date:  1983 Mar-Apr       Impact factor: 6.016

9.  An intuitive approach to receiver operating characteristic curve analysis.

Authors:  D A Turner
Journal:  J Nucl Med       Date:  1978-02       Impact factor: 10.057

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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  33 in total

1.  Analysis of retinal fundus images for grading of diabetic retinopathy severity.

Authors:  M H Ahmad Fadzil; Lila Iznita Izhar; Hermawan Nugroho; Hanung Adi Nugroho
Journal:  Med Biol Eng Comput       Date:  2011-01-27       Impact factor: 2.602

2.  The predictive value of 3D time-of-flight MR angiography in assessment of brain arteriovenous malformation obliteration after radiosurgery.

Authors:  D R Buis; J C J Bot; F Barkhof; D L Knol; F J Lagerwaard; B J Slotman; W P Vandertop; R van den Berg
Journal:  AJNR Am J Neuroradiol       Date:  2011-11-17       Impact factor: 3.825

3.  A nonparametric procedure for comparing the areas under correlated LROC curves.

Authors:  Adam Wunderlich; Frédéric Noo
Journal:  IEEE Trans Med Imaging       Date:  2012-06-18       Impact factor: 10.048

4.  Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation.

Authors:  Yirong Wu; Craig K Abbey; Xianqiao Chen; Jie Liu; David C Page; Oguzhan Alagoz; Peggy Peissig; Adedayo A Onitilo; Elizabeth S Burnside
Journal:  J Med Imaging (Bellingham)       Date:  2015-08-17

5.  Observer study for evaluating potential utility of a super-high-resolution LCD in the detection of clustered microcalcifications on digital mammograms.

Authors:  Junji Shiraishi; Hiroyuki Abe; Katsuhiro Ichikawa; Robert A Schmidt; Kunio Doi
Journal:  J Digit Imaging       Date:  2009-03-10       Impact factor: 4.056

6.  On the choice of acceptance radius in free-response observer performance studies.

Authors:  T M Haygood; J Ryan; P C Brennan; S Li; E M Marom; M F McEntee; M Itani; M Evanoff; D Chakraborty
Journal:  Br J Radiol       Date:  2012-05-09       Impact factor: 3.039

7.  Evaluation of three pneumothorax size quantification methods on digitized chest X-ray films using medical-grade grayscale and consumer-grade color displays.

Authors:  Antonio J Salazar; Diego A Aguirre; Juliana Ocampo; Juan C Camacho; Xavier A Díaz
Journal:  J Digit Imaging       Date:  2014-04       Impact factor: 4.056

8.  Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006.

Authors:  Junji Shiraishi; Lorenzo L Pesce; Charles E Metz; Kunio Doi
Journal:  Radiology       Date:  2009-10-28       Impact factor: 11.105

9.  Evaluating the decision accuracy and speed of clinical data visualizations.

Authors:  David S Pieczkiewicz; Stanley M Finkelstein
Journal:  J Am Med Inform Assoc       Date:  2010 Mar-Apr       Impact factor: 4.497

10.  Verification of modified receiver-operating characteristic software using simulated rating data.

Authors:  Junji Shiraishi; Daisuke Fukuoka; Reimi Iha; Haruka Inada; Rie Tanaka; Takeshi Hara
Journal:  Radiol Phys Technol       Date:  2018-09-22
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