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Korean J Radiol.  2004 Mar;5(1):11-18. 10.3348/kjr.2004.5.1.11.

Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists

Affiliations
  • 1Department of Radiology, Seoul National University College of Medicine and Institute of Radiation Medicine, SNUMRC. jmgoo@plaza.snu.ac.kr
  • 2Biostatistics Section, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, U.S.A.

Abstract

The receiver operating characteristic (ROC) curve, which is defined as a plot of test sensitivity as the y coordinate versus its 1-specificity or false positive rate (FPR) as the x coordinate, is an effective method of evaluating the performance of diagnostic tests. The purpose of this article is to provide a nonmathematical introduction to ROC analysis. Important concepts involved in the correct use and interpretation of this analysis, such as smooth and empirical ROC curves, parametric and nonparametric methods, the area under the ROC curve and its 95% confidence interval, the sensitivity at a particular FPR, and the use of a partial area under the ROC curve are discussed. Various considerations concerning the collection of data in radiological ROC studies are briefly discussed. An introduction to the software frequently used for performing ROC analyses is also presented.

Keyword

Diagnostic radiology; Receiver operating characteristic (ROC) curve; Software reviews; Statistical analysis

MeSH Terms

Area Under Curve
Coin Lesion, Pulmonary/radiography
Human
*ROC Curve
Radiography/*statistics & numerical data
Software
Statistics, Nonparametric
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