Literature DB >> 2332307

Effect of two rating formats in multi-disease ROC study of chest images.

H E Rockette1, D Gur, L A Cooperstein, N A Obuchowski, J L King, C R Fuhrman, E K Tabor, C E Metz.   

Abstract

ROC methodology has been expanded in recent years to include multi-disease experiments. To accommodate these changes, different rating formats, general or disease specific, can be used. No experimental data are available concerning the possible effects of the rating format on the results of these studies. We performed a multi-observer, multi-disease study in which 196 chest images were rated using a format where each disease was evaluated individually and one in which the cases were evaluated without scoring a specific disease. The results indicate that for our data set, the overall assessment of accuracy was not significantly affected by the study format used. Thus, in spite of the difficulties in selecting appropriate controls and the necessity of reassessing sample size considerations, the disease-specific format appears to produce an assessment of accuracy equivalent to that produced by the general format. This equivalence permits the use of the disease-specific approach since it more closely simulates the readers' true environment and is more appropriate for comparing imaging systems that may have a relative accuracy that is disease specific.

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Year:  1990        PMID: 2332307     DOI: 10.1097/00004424-199003000-00002

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


  2 in total

1.  A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancer.

Authors:  Karla Horsch; Lorenzo L Pesce; Maryellen L Giger; Charles E Metz; Yulei Jiang
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

Review 2.  Receiver operating characteristic (ROC) curve: practical review for radiologists.

Authors:  Seong Ho Park; Jin Mo Goo; Chan-Hee Jo
Journal:  Korean J Radiol       Date:  2004 Jan-Mar       Impact factor: 3.500

  2 in total

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