Original smooth receiver operating characteristic curve estimation from continuous data: Statistical methods for analyzing the predictive value of spiral CT of ureteral stones

K. H. Zou, C. M. Tempany, J. R. Fielding, S. G. Silverman

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Rationale and Objectives. Diagnostic studies such as spiral computed tomography (CT) in patients with obstructing ureteral calculi often necessitate the analysis of continuous test data (eg, stone sizes). The accuracy of a test can be summarized by using a receiver operating characteristic (ROC) curve. The authors developed and compared three methods for constructing a smooth ROC curve from continuous diagnostic data: Materials and Methods. Nonparametric, semiparametric, and parametric smooth ROC curve analyses were applied to data from 100 unenhanced spiral CT scans of patients with proved obstructing ureteral stones. Accuracy in using stone size to predict the need for intervention was evaluated by means of these methods. Characteristics and summary measures of the resulting ROC curves were estimated. Results. All methods fit the data well. The nonparametric method followed the details of the empiric data. The semiparametric and parametric methods yielded similar estimates of the ROC curve parameters. Areas under the ROC curves were 0.807, 0.821, and 0.814 for nonparametric, semiparametric and parametric methods, respectively, in comparison with 0.811 for the empiric method. Conclusions. The parametric method is preferred for constructing a smooth ROC curve with available stone-size data derived from spiral CT. The analyses confirm the predictive value of stone size in determining the need for intervention.

Original languageEnglish (US)
Pages (from-to)680-687
Number of pages8
JournalAcademic radiology
Volume5
Issue number10
DOIs
StatePublished - Jan 1 1998

Keywords

  • Genitourinary system, CT
  • Genitourinary system, calculi
  • Receiver operating characteristic curve (ROC)
  • Statistical analysis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Original smooth receiver operating characteristic curve estimation from continuous data: Statistical methods for analyzing the predictive value of spiral CT of ureteral stones'. Together they form a unique fingerprint.

Cite this