Objective comparison of quantitative imaging modalities without the use of a gold standard

John W. Hoppin, Matthew A Kupinski, George A. Kastis, Eric W Clarkson, Harrison H Barrett

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Imaging is often used for the purpose of estimating the value of some parameter of interest. For example, a cardiologist may measure the ejection fraction (EF) of the heart in order to know how much blood is being pumped out of the heart on each stroke. In clinical practice, however, it is difficult to evaluate an estimation method because the gold standard is not known, e.g., a cardiologist does not know the true EF of a patient. Thus, researchers have often evaluated an estimation method by plotting its results against the results of another (more accepted) estimation method, which amounts to using one set of estimates as the pseudogold standard. In this paper, we present a maximum-likelihood approach for evaluating and comparing different estimation methods without the use of a gold standard with specific emphasis on the problem of evaluating EF estimation methods. Results of numerous simulation studies will be presented and indicate that the method can precisely and accurately estimate the parameters of a regression line without a gold standard, i.e., without the x axis.

Original languageEnglish (US)
Pages (from-to)441-449
Number of pages9
JournalIEEE Transactions on Medical Imaging
Volume21
Issue number5
DOIs
StatePublished - May 2002

Fingerprint

Imaging techniques
Maximum likelihood
Blood
Stroke
Research Personnel
Cardiologists

Keywords

  • Cardiac ejection fraction
  • Estimation
  • Modality comparison
  • Regression analysis

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Objective comparison of quantitative imaging modalities without the use of a gold standard. / Hoppin, John W.; Kupinski, Matthew A; Kastis, George A.; Clarkson, Eric W; Barrett, Harrison H.

In: IEEE Transactions on Medical Imaging, Vol. 21, No. 5, 05.2002, p. 441-449.

Research output: Contribution to journalArticle

@article{24ed984c5d6f4da2b2622b729b805419,
title = "Objective comparison of quantitative imaging modalities without the use of a gold standard",
abstract = "Imaging is often used for the purpose of estimating the value of some parameter of interest. For example, a cardiologist may measure the ejection fraction (EF) of the heart in order to know how much blood is being pumped out of the heart on each stroke. In clinical practice, however, it is difficult to evaluate an estimation method because the gold standard is not known, e.g., a cardiologist does not know the true EF of a patient. Thus, researchers have often evaluated an estimation method by plotting its results against the results of another (more accepted) estimation method, which amounts to using one set of estimates as the pseudogold standard. In this paper, we present a maximum-likelihood approach for evaluating and comparing different estimation methods without the use of a gold standard with specific emphasis on the problem of evaluating EF estimation methods. Results of numerous simulation studies will be presented and indicate that the method can precisely and accurately estimate the parameters of a regression line without a gold standard, i.e., without the x axis.",
keywords = "Cardiac ejection fraction, Estimation, Modality comparison, Regression analysis",
author = "Hoppin, {John W.} and Kupinski, {Matthew A} and Kastis, {George A.} and Clarkson, {Eric W} and Barrett, {Harrison H}",
year = "2002",
month = "5",
doi = "10.1109/TMI.2002.1009380",
language = "English (US)",
volume = "21",
pages = "441--449",
journal = "IEEE Transactions on Medical Imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

TY - JOUR

T1 - Objective comparison of quantitative imaging modalities without the use of a gold standard

AU - Hoppin, John W.

AU - Kupinski, Matthew A

AU - Kastis, George A.

AU - Clarkson, Eric W

AU - Barrett, Harrison H

PY - 2002/5

Y1 - 2002/5

N2 - Imaging is often used for the purpose of estimating the value of some parameter of interest. For example, a cardiologist may measure the ejection fraction (EF) of the heart in order to know how much blood is being pumped out of the heart on each stroke. In clinical practice, however, it is difficult to evaluate an estimation method because the gold standard is not known, e.g., a cardiologist does not know the true EF of a patient. Thus, researchers have often evaluated an estimation method by plotting its results against the results of another (more accepted) estimation method, which amounts to using one set of estimates as the pseudogold standard. In this paper, we present a maximum-likelihood approach for evaluating and comparing different estimation methods without the use of a gold standard with specific emphasis on the problem of evaluating EF estimation methods. Results of numerous simulation studies will be presented and indicate that the method can precisely and accurately estimate the parameters of a regression line without a gold standard, i.e., without the x axis.

AB - Imaging is often used for the purpose of estimating the value of some parameter of interest. For example, a cardiologist may measure the ejection fraction (EF) of the heart in order to know how much blood is being pumped out of the heart on each stroke. In clinical practice, however, it is difficult to evaluate an estimation method because the gold standard is not known, e.g., a cardiologist does not know the true EF of a patient. Thus, researchers have often evaluated an estimation method by plotting its results against the results of another (more accepted) estimation method, which amounts to using one set of estimates as the pseudogold standard. In this paper, we present a maximum-likelihood approach for evaluating and comparing different estimation methods without the use of a gold standard with specific emphasis on the problem of evaluating EF estimation methods. Results of numerous simulation studies will be presented and indicate that the method can precisely and accurately estimate the parameters of a regression line without a gold standard, i.e., without the x axis.

KW - Cardiac ejection fraction

KW - Estimation

KW - Modality comparison

KW - Regression analysis

UR - http://www.scopus.com/inward/record.url?scp=0036557908&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036557908&partnerID=8YFLogxK

U2 - 10.1109/TMI.2002.1009380

DO - 10.1109/TMI.2002.1009380

M3 - Article

C2 - 12071615

AN - SCOPUS:0036557908

VL - 21

SP - 441

EP - 449

JO - IEEE Transactions on Medical Imaging

JF - IEEE Transactions on Medical Imaging

SN - 0278-0062

IS - 5

ER -