Literature DB >> 15895587

A comparison of two data analyses from two observer performance studies using Jackknife ROC and JAFROC.

Bin Zheng1, Dev P Chakraborty, Howard E Rockette, Glenn S Maitz, David Gur.   

Abstract

The authors compared two methodological approaches, Jackknife ROC and JAFROC, in analyzing data ascertained during FROC (free-response receiver operating characteristics) type studies. Observer rating data obtained from two observer performance studies were analyzed. During the first study, seven radiologists interpreted 120 mammography examinations depicting 57 masses under five different conditions with and without the results of computer-aided detection (CAD). In the second study, eight radiologists interpreted 110 examinations depicting 51 masses under six different display conditions with and without CAD results. Readers rated the detection task in a FROC type response. Jackknife ROC (using the software of LABMRMC with the highest rating per case) and JAFROC were used to compute differences, if any, in summary performance levels among all reading modes in each study as well as for all paired data sets. The results of the different analytical approaches are compared. The overall results for all modes were significantly different for the first study (p < 0.05) and not significant (p > 0.05) for the second study using either analytical approach. In the first study, the performance levels represented by three paired data sets were significantly different (p < 0.05) when computed using LABMRMC and four pairs were significantly different (p < 0.05) using JAFROC. In eight of ten pairs, JAFROC produced lower p values than LABMRMC. In the second study, LABMRMC showed no significant differences for any paired data sets and JAFROC showed a significant difference for one pair. In 15 of 16 pairs, p values computed by JAFROC were lower than those computed by LABMRMC.

Mesh:

Year:  2005        PMID: 15895587     DOI: 10.1118/1.1884766

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  12 in total

1.  Radiological technologists' performance for the detection of malignant microcalcifications in digital mammograms without and with a computer-aided detection system.

Authors:  Rie Tanaka; Miho Takamori; Yoshikazu Uchiyama; Junji Shiraishi
Journal:  J Med Imaging (Bellingham)       Date:  2015-05-27

2.  A search model and figure of merit for observer data acquired according to the free-response paradigm.

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

3.  Spatial localization accuracy of radiologists in free-response studies: Inferring perceptual FROC curves from mark-rating data.

Authors:  Dev Chakraborty; Hong-Jun Yoon; Claudia Mello-Thoms
Journal:  Acad Radiol       Date:  2007-01       Impact factor: 3.173

4.  Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.

Authors:  Mark Ruschin; Pontus Timberg; Magnus Båth; Bengt Hemdal; Tony Svahn; Rob S Saunders; Ehsan Samei; Ingvar Andersson; Soren Mattsson; Dev P Chakrabort; Anders Tingber
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

5.  Dose reduction and its influence on diagnostic accuracy and radiation risk in digital mammography: an observer performance study using an anthropomorphic breast phantom.

Authors:  T Svahn; B Hemdal; M Ruschin; D P Chakraborty; I Andersson; A Tingberg; S Mattsson
Journal:  Br J Radiol       Date:  2007-07       Impact factor: 3.039

6.  Correlation of free-response and receiver-operating-characteristic area-under-the-curve estimates: results from independently conducted FROC∕ROC studies in mammography.

Authors:  Federica Zanca; Stephen L Hillis; Filip Claus; Chantal Van Ongeval; Valerie Celis; Veerle Provoost; Hong-Jun Yoon; Hilde Bosmans
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

Review 7.  The Reproducibility of Changes in Diagnostic Figures of Merit Across Laboratory and Clinical Imaging Reader Studies.

Authors:  Frank W Samuelson; Craig K Abbey
Journal:  Acad Radiol       Date:  2017-06-27       Impact factor: 3.173

8.  Performance assessments of diagnostic systems under the FROC paradigm: experimental, analytical, and results interpretation issues.

Authors:  David Gur; Howard E Rockette
Journal:  Acad Radiol       Date:  2008-10       Impact factor: 3.173

9.  Evaluating computer-aided detection algorithms.

Authors:  Hong Jun Yoon; Bin Zheng; Berkman Sahiner; Dev P Chakraborty
Journal:  Med Phys       Date:  2007-06       Impact factor: 4.071

10.  Agreement of the order of overall performance levels under different reading paradigms.

Authors:  David Gur; Andriy I Bandos; Amy H Klym; Cathy S Cohen; Christiane M Hakim; Lara A Hardesty; Marie A Ganott; Ronald L Perrin; William R Poller; Ratan Shah; Jules H Sumkin; Luisa P Wallace; Howard E Rockette
Journal:  Acad Radiol       Date:  2008-12       Impact factor: 3.173

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