Literature DB >> 23583665

A brief history of free-response receiver operating characteristic paradigm data analysis.

Dev P Chakraborty1.   

Abstract

In the receiver operating characteristic paradigm the observer assigns a single rating to each image and the location of the perceived abnormality, if any, is ignored. In the free-response receiver operating characteristic paradigm the observer is free to mark and rate as many suspicious regions as are considered clinically reportable. Credit for a correct localization is given only if a mark is sufficiently close to an actual lesion; otherwise, the observer's mark is scored as a location-level false positive. Until fairly recently there existed no accepted method for analyzing the resulting relatively unstructured data containing random numbers of mark-rating pairs per image. This report reviews the history of work in this field, which has now spanned more than five decades. It introduces terminology used to describe the paradigm, proposed measures of performance (figures of merit), ways of visualizing the data (operating characteristics), and software for analyzing free-response receiver operating characteristic studies.
Copyright © 2013 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23583665      PMCID: PMC3679336          DOI: 10.1016/j.acra.2013.03.001

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


  34 in total

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2.  Visual detection and localization of radiographic images.

Authors:  S J Starr; C E Metz; L B Lusted; D J Goodenough
Journal:  Radiology       Date:  1975-09       Impact factor: 11.105

3.  Observer studies involving detection and localization: modeling, analysis, and validation.

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Journal:  Med Phys       Date:  2004-08       Impact factor: 4.071

4.  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

5.  ROC curves predicted by a model of visual search.

Authors:  D P Chakraborty
Journal:  Phys Med Biol       Date:  2006-07-06       Impact factor: 3.609

6.  A comparison of denominator degrees of freedom methods for multiple observer ROC analysis.

Authors:  Stephen L Hillis
Journal:  Stat Med       Date:  2007-02-10       Impact factor: 2.373

7.  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

8.  Area under the free-response ROC curve (FROC) and a related summary index.

Authors:  Andriy I Bandos; Howard E Rockette; Tao Song; David Gur
Journal:  Biometrics       Date:  2008-05-13       Impact factor: 2.571

9.  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

10.  Recent developments in imaging system assessment methodology, FROC analysis and the search model.

Authors:  Dev P Chakraborty
Journal:  Nucl Instrum Methods Phys Res A       Date:  2011-08-21       Impact factor: 1.455

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  11 in total

1.  Detection of suspected brain infarctions on CT can be significantly improved with temporal subtraction images.

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Journal:  Eur Radiol       Date:  2018-07-30       Impact factor: 5.315

2.  On the meaning of the weighted alternative free-response operating characteristic figure of merit.

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Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

3.  Computer-aided diagnosis improves detection of small intracranial aneurysms on MRA in a clinical setting.

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Journal:  AJNR Am J Neuroradiol       Date:  2014-06-12       Impact factor: 3.825

4.  A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation.

Authors:  Fan-Ya Lin; Yeun-Chung Chang; Hsuan-Yu Huang; Chia-Chen Li; Yi-Chang Chen; Chung-Ming Chen
Journal:  Eur Radiol       Date:  2022-01-12       Impact factor: 5.315

5.  Kappa statistic to measure agreement beyond chance in free-response assessments.

Authors:  Marc Carpentier; Christophe Combescure; Laura Merlini; Thomas V Perneger
Journal:  BMC Med Res Methodol       Date:  2017-04-19       Impact factor: 4.615

Review 6.  Use-inspired basic research in medical image perception.

Authors:  Jeremy M Wolfe
Journal:  Cogn Res Princ Implic       Date:  2016-11-14

7.  Endodontic disease detection: digital periapical radiography versus cone-beam computed tomography-a systematic review.

Authors:  Kehn E Yapp; Patrick Brennan; Ernest Ekpo
Journal:  J Med Imaging (Bellingham)       Date:  2021-02-24

8.  Investigating Low-Dose Image Quality in Whole-Body Pediatric 18F-FDG Scans Using Time-of-Flight PET/MRI.

Authors:  Jeffrey P Schmall; Suleman Surti; Hansel J Otero; Sabah Servaes; Joel S Karp; Lisa J States
Journal:  J Nucl Med       Date:  2020-06-01       Impact factor: 11.082

9.  Efficacy comparison of multi-phase CT and hepatotropic contrast-enhanced MRI in the differential diagnosis of focal nodular hyperplasia: a prospective cohort study.

Authors:  Tomasz K Nowicki; Karolina Markiet; Ewa Izycka-Swieszewska; Katarzyna Dziadziuszko; Michal Studniarek; Edyta Szurowska
Journal:  BMC Gastroenterol       Date:  2018-01-15       Impact factor: 3.067

10.  Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance.

Authors:  Laura Kerschke; Stefanie Weigel; Alejandro Rodriguez-Ruiz; Nico Karssemeijer; Walter Heindel
Journal:  Eur Radiol       Date:  2021-08-12       Impact factor: 5.315

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