Literature DB >> 17412096

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

Charles E Metz1.   

Abstract

Receiver operating characteristic (ROC) analysis provides the most comprehensive description of diagnostic accuracy available to date, because it estimates and reports all of the combinations of sensitivity and specificity that a diagnostic test is able to provide. After sketching the 6 levels at which diagnostic efficacy can be assessed, this paper explains the conceptual foundations of conventional ROC analysis, describes a variety of indices that can be used to summarize ROC curves, and describes several forms of generalized ROC analysis that address situations in which more than 2 decision alternatives are available. Key issues that arise in ROC curve fitting and statistical testing are addressed in an intuitive way to provide a basis for judging the validity of ROC studies reported in the literature. A list of sources for free ROC software is provided. Receiver operating characteristic methodology has reached a level of maturity at which it can be recommended broadly as the approach of choice for radiologic imaging system comparisons.

Mesh:

Year:  2006        PMID: 17412096     DOI: 10.1016/j.jacr.2006.02.021

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  74 in total

1.  Evaluating the effectiveness of clinical alerts: a signal detection approach.

Authors:  Mei-Sing Ong; Enrico Coiera
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 2.  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

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.  Effect of display type, DICOM calibration and room illuminance in bitewing radiographs.

Authors:  Soili Kallio-Pulkkinen; Sisko Huumonen; Marianne Haapea; Esa Liukkonen; Annina Sipola; Osmo Tervonen; Miika T Nieminen
Journal:  Dentomaxillofac Radiol       Date:  2015-08-03       Impact factor: 2.419

5.  Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography.

Authors:  Sina Farsiu; Stephanie J Chiu; Rachelle V O'Connell; Francisco A Folgar; Eric Yuan; Joseph A Izatt; Cynthia A Toth
Journal:  Ophthalmology       Date:  2013-08-29       Impact factor: 12.079

6.  Computed tomography reflected endocrine function of the pancreas.

Authors:  Naoaki Sakata; Shinichi Egawa; Toshiki Rikiyama; Gumpei Yoshimatsu; Kunihiro Masuda; Hideo Ohtsuka; Shigeru Ottomo; Kei Nakagawa; Hiroki Hayashi; Takanori Morikawa; Tohru Onogawa; Kuniharu Yamamoto; Hiroshi Yoshida; Masanori Akada; Fuyuhiko Motoi; Takeshi Naitoh; Yu Katayose; Michiaki Unno
Journal:  J Gastrointest Surg       Date:  2010-12-23       Impact factor: 3.452

Review 7.  Neuroimaging-based methods for autism identification: a possible translational application?

Authors:  Alessandra Retico; Michela Tosetti; Filippo Muratori; Sara Calderoni
Journal:  Funct Neurol       Date:  2014 Oct-Dec

8.  Automated liver lesion detection in CT images based on multi-level geometric features.

Authors:  László Ruskó; Ádám Perényi
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-10-05       Impact factor: 2.924

9.  Applications of the repeatability of quantitative imaging biomarkers: a review of statistical analysis of repeat data sets.

Authors:  Huiman X Barnhart; Daniel P Barboriak
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

10.  A status report on free-response analysis.

Authors:  D P Chakraborty
Journal:  Radiat Prot Dosimetry       Date:  2010-01-18       Impact factor: 0.972

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