Literature DB >> 8939225

A receiver operating characteristic partial area index for highly sensitive diagnostic tests.

Y Jiang1, C E Metz, R M Nishikawa.   

Abstract

PURPOSE: Area under a receiver operating characteristic (ROC) curve (Az) is widely used as an index of diagnostic performance. However, Az is not a meaningful summary of clinical diagnostic performance when high sensitivity must be maintained clinically. The authors developed a new ROC partial area index, which measures clinical diagnostic performance more meaningfully in such situations, to summarize an ROC curve in only a high-sensitivity region.
MATERIALS AND METHODS: The mathematical formation of the partial area index was derived from the conventional binormal model. Statistical tests of apparent differences in this index were formulated analogous to that of Az. One common statistical test involving the partial area index was validated by computer simulations under realistic conditions.
RESULTS: An example in mammography illustrates a situation in which the partial area index is more meaningful than Az in measuring clinical diagnostic performance.
CONCLUSION: The partial area index can be used as a more meaningful alternative to the conventional Az index for highly sensitive diagnostic tests.

Mesh:

Year:  1996        PMID: 8939225     DOI: 10.1148/radiology.201.3.8939225

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  47 in total

1.  Digital breast tomosynthesis is comparable to mammographic spot views for mass characterization.

Authors:  Mitra Noroozian; Lubomir Hadjiiski; Sahand Rahnama-Moghadam; Katherine A Klein; Deborah O Jeffries; Renee W Pinsky; Heang-Ping Chan; Paul L Carson; Mark A Helvie; Marilyn A Roubidoux
Journal:  Radiology       Date:  2011-10-13       Impact factor: 11.105

Review 2.  ROC analysis in medical imaging: a tutorial review of the literature.

Authors:  Charles E Metz
Journal:  Radiol Phys Technol       Date:  2007-10-27

3.  Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

Authors:  Brandon D Gallas; Heang-Ping Chan; Carl J D'Orsi; Lori E Dodd; Maryellen L Giger; David Gur; Elizabeth A Krupinski; Charles E Metz; Kyle J Myers; Nancy A Obuchowski; Berkman Sahiner; Alicia Y Toledano; Margarita L Zuley
Journal:  Acad Radiol       Date:  2012-02-03       Impact factor: 3.173

4.  Test-retest reliability in fMRI of language: group and task effects.

Authors:  E Elinor Chen; Steven L Small
Journal:  Brain Lang       Date:  2006-06-05       Impact factor: 2.381

5.  Quasi-continuous and discrete confidence rating scales for observer performance studies: Effects on ROC analysis.

Authors:  Lubomir Hadjiiski; Heang-Ping Chan; Berkman Sahiner; Mark A Helvie; Marilyn A Roubidoux
Journal:  Acad Radiol       Date:  2007-01       Impact factor: 3.173

6.  Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.

Authors:  Berkman Sahiner; Heang-Ping Chan; Marilyn A Roubidoux; Lubomir M Hadjiiski; Mark A Helvie; Chintana Paramagul; Janet Bailey; Alexis V Nees; Caroline Blane
Journal:  Radiology       Date:  2007-01-23       Impact factor: 11.105

7.  Optimized approach to decision fusion of heterogeneous data for breast cancer diagnosis.

Authors:  Jonathan L Jesneck; Loren W Nolte; Jay A Baker; Carey E Floyd; Joseph Y Lo
Journal:  Med Phys       Date:  2006-08       Impact factor: 4.071

8.  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

Review 9.  Looking back at prospective studies.

Authors:  Carolyn M Rutter
Journal:  Acad Radiol       Date:  2008-11       Impact factor: 3.173

10.  Exact confidence interval estimation for the difference in diagnostic accuracy with three ordinal diagnostic groups.

Authors:  Lili Tian; Chengjie Xiong; Chin-Ying Lai; Albert Vexler
Journal:  J Stat Plan Inference       Date:  2010-07-20       Impact factor: 1.111

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