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BibTeX
Statistical comparison of dynamic contrast-enhanced MRI pharmacokinetic models in human breast cancer
Magnetic resonance in medicine, 2012-07, Vol.68 (1), p.261-271
Li, Xia
Welch, E. Brian
Chakravarthy, A. Bapsi
Xu, Lei
Arlinghaus, Lori R.
Farley, Jaime
Mayer, Ingrid A.
Kelley, Mark C.
Meszoely, Ingrid M.
Means-Powell, Julie
Abramson, Vandana G.
Grau, Ana M.
Gore, John C.
Yankeelov, Thomas E.
2012
Details
Autor(en) / Beteiligte
Li, Xia
Welch, E. Brian
Chakravarthy, A. Bapsi
Xu, Lei
Arlinghaus, Lori R.
Farley, Jaime
Mayer, Ingrid A.
Kelley, Mark C.
Meszoely, Ingrid M.
Means-Powell, Julie
Abramson, Vandana G.
Grau, Ana M.
Gore, John C.
Yankeelov, Thomas E.
Titel
Statistical comparison of dynamic contrast-enhanced MRI pharmacokinetic models in human breast cancer
Ist Teil von
Magnetic resonance in medicine, 2012-07, Vol.68 (1), p.261-271
Ort / Verlag
Hoboken: Wiley Subscription Services, Inc., A Wiley Company
Erscheinungsjahr
2012
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
By fitting dynamic contrast‐enhanced MRI data to an appropriate pharmacokinetic model, quantitative physiological parameters can be estimated. In this study, we compare four different models by applying four statistical measures to assess their ability to describe dynamic contrast‐enhanced MRI data obtained in 28 human breast cancer patient sets: the chi‐square test (χ2), Durbin–Watson statistic, Akaike information criterion, and Bayesian information criterion. The pharmacokinetic models include the fast exchange limit model with (FXL_vp) and without (FXL) a plasma component, and the fast and slow exchange regime models (FXR and SXR, respectively). The results show that the FXL_vp and FXR models yielded the smallest χ2 in 45.64 and 47.53% of the voxels, respectively; they also had the smallest number of voxels showing serial correlation with 0.71 and 2.33%, respectively. The Akaike information criterion indicated that the FXL_vp and FXR models were preferred in 42.84 and 46.59% of the voxels, respectively. The Bayesian information criterion also indicated the FXL_vp and FXR models were preferred in 39.39 and 45.25% of the voxels, respectively. Thus, these four metrics indicate that the FXL_vp and the FXR models provide the most complete statistical description of dynamic contrast‐enhanced MRI time courses for the patients selected in this study. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 0740-3194
eISSN: 1522-2594
DOI: 10.1002/mrm.23205
Titel-ID: cdi_crossref_primary_10_1002_mrm_23205
Format
–
Schlagworte
breast cancer
,
Breast Neoplasms - metabolism
,
Breast Neoplasms - pathology
,
Computer Simulation
,
Contrast Media - pharmacokinetics
,
Data Interpretation, Statistical
,
DCE-MRI
,
Female
,
Gadolinium DTPA - pharmacokinetics
,
Humans
,
Image Enhancement - methods
,
Image Interpretation, Computer-Assisted - methods
,
Magnetic Resonance Imaging - methods
,
Models, Biological
,
Models, Statistical
,
pharmacokinetic modeling
,
Reproducibility of Results
,
Sensitivity and Specificity
,
water exchange
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