Estimation of tissue perfusion by dynamic contrast-enhanced imaging: simulation-based evaluation of the steepest slope method.
Objective: Tissue perfusion is frequently determined from dynamic contrast-enhanced CT or MRI image series by means of the steepest slope method. It was thus the aim of this study to systematically evaluate the reliability of this analysis method on the basis of simulated tissue curves.Methods: 9600...
| Publicado en: | European Radiology Vol. 20; no. 9; pp. 2166 - 2176 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104914269&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104914269 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Sep2010 vid: 20 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104914269 52671169 NLM20407900 2010734659 10.1007/s00330-010-1787-6 NLM20407900 104914269 ppf: 2166 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Estimation of tissue perfusion by dynamic contrast-enhanced imaging: simulation-based evaluation of the steepest slope method. aug: au: Brix G Zwick S Griebel J Fink C Kiessling F Brix, Gunnar Zwick, Stefan Griebel, Jürgen Fink, Christian Kiessling, Fabian affil: Department of Medical and Occupational Radiation Protection, Federal Office for Radiation Protection, Oberschleissheim, Germany sug: subj: Algorithms Contrast Media Pharmacokinetics Magnetic Resonance Imaging Methods Image Interpretation, Computer Assisted Methods Magnetic Resonance Angiography Methods Models, Biological Computer Simulation Human Reproducibility of Results Sensitivity and Specificity ab: Objective: Tissue perfusion is frequently determined from dynamic contrast-enhanced CT or MRI image series by means of the steepest slope method. It was thus the aim of this study to systematically evaluate the reliability of this analysis method on the basis of simulated tissue curves.Methods: 9600 tissue curves were simulated for four noise levels, three sampling intervals and a wide range of physiological parameters using an axially distributed reference model and subsequently analysed by the steepest slope method.Results: Perfusion is systematically underestimated with errors becoming larger with increasing perfusion and decreasing intravascular volume. For curves sampled after rapid contrast injection with a temporal resolution of 0.72 s, the bias was less than 23% when the mean residence time of tracer molecules in the intravascular distribution space was greater than 6 s. Increasing the sampling interval and the noise level substantially reduces the accuracy and precision of estimates, respectively.Conclusions: The steepest slope method allows absolute quantification of tissue perfusion in a computationally simple and numerically robust manner. The achievable degree of accuracy and precision is considered to be adequate for most clinical applications. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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