Literature DB >> 21221707

Precision analysis of kinetic modelling estimates in dynamic contrast enhanced MRI.

Dieter De Naeyer1, Yves De Deene, Wim P Ceelen, Patrick Segers, Pascal Verdonck.   

Abstract

OBJECT: Dynamic contrast enhanced MRI and pharmacokinetic modelling provide a powerful tool for tumour diagnosis and treatment evaluation. However, several studies show low reproducibility of the technique and poor precision of the transendothelial transfer constant K (trans). This work proposes a theoretical framework describing how finite signal-noise-ratio (SNR) in the MR images is propagated throughout the measurement protocol to uncertainty on the kinetic parameter estimates.
MATERIALS AND METHODS: After deriving a distribution for the contrast agent concentration, a maximum likelihood estimator (MLM) is proposed that exhibits Cramer-Rao lower bounds (CRLB). An analytical expression is derived for the CRLB that can be used to determine confidence intervals for kinetic parameters and to investigate the influence of protocol parameters as scan time and temporal resolution on K (trans)-precision.
RESULTS: K (trans)-uncertainty can be reduced up to 30% by using MLM in comparison with least square estimator. K (trans)-precision is proportional to the SNR and depends strongly on the kinetic parameter values themselves. Minimal scan time and temporal resolution were found to be 15 min and 15 s, respectively, for Gd-DTPA. Temporal resolution should be enhanced by decreasing the NEX parameter (NEX ≤ 1).
CONCLUSION: CRLB provide a golden standard to construct 95% confidence intervals, which can be used to perform protocol optimization and to test the statistical significance of K (trans)-changes in treatment evaluation.

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Year:  2011        PMID: 21221707     DOI: 10.1007/s10334-010-0235-6

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  37 in total

Review 1.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

Authors:  P S Tofts
Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

2.  Noise in MRI.

Authors:  A Macovski
Journal:  Magn Reson Med       Date:  1996-09       Impact factor: 4.668

3.  The role of dynamic contrast-enhanced MRI in the differential diagnosis of psoriatic and rheumatoid arthritis.

Authors:  Nina F Schwenzer; Ina Kötter; Jörg C Henes; Christina Schraml; Jan Fritz; Claus D Claussen; Marius Horger
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4.  Noninvasive monitoring of radiotherapy-induced microvascular changes using dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) in a colorectal tumor model.

Authors:  Wim Ceelen; Peter Smeets; Walter Backes; Nancy Van Damme; Tom Boterberg; Pieter Demetter; Isabel Bouckenooghe; Marieke De Visschere; Marc Peeters; Piet Pattyn
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-02-02       Impact factor: 7.038

Review 5.  Functional imaging of colorectal cancer angiogenesis.

Authors:  Vicky Goh; Anwar R Padhani; Shahnawaz Rasheed
Journal:  Lancet Oncol       Date:  2007-03       Impact factor: 41.316

6.  Reproducibility assessment of a multiple reference tissue method for quantitative dynamic contrast enhanced-MRI analysis.

Authors:  Cheng Yang; Gregory S Karczmar; Milica Medved; Aytekin Oto; Marta Zamora; Walter M Stadler
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

7.  Temporal sampling requirements for the tracer kinetics modeling of breast disease.

Authors:  E Henderson; B K Rutt; T Y Lee
Journal:  Magn Reson Imaging       Date:  1998-11       Impact factor: 2.546

8.  System identification theory in pharmacokinetic modeling of dynamic contrast-enhanced MRI: influence of contrast injection.

Authors:  H J W L Aerts; N A W van Riel; W H Backes
Journal:  Magn Reson Med       Date:  2008-05       Impact factor: 4.668

Review 9.  Dynamic contrast-enhanced MRI in clinical oncology: current status and future directions.

Authors:  Anwar R Padhani
Journal:  J Magn Reson Imaging       Date:  2002-10       Impact factor: 4.813

Review 10.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

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  6 in total

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Authors:  Justin P Haldar; Daeun Kim
Journal:  IEEE Trans Med Imaging       Date:  2019-02-01       Impact factor: 10.048

2.  Assessment of neovascular permeability in a pancreatic tumor model using dynamic contrast-enhanced (DCE) MRI with contrast agents of different molecular weights.

Authors:  Louke J Delrue; Veerle Casneuf; Nancy Van Damme; Peter Blanckaert; Marc Peeters; Wim P Ceelen; Philippe C O Duyck
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3.  Direct estimation of tracer-kinetic parameter maps from highly undersampled brain dynamic contrast enhanced MRI.

Authors:  Yi Guo; Sajan Goud Lingala; Yinghua Zhu; R Marc Lebel; Krishna S Nayak
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4.  Fisher information and Cramér-Rao lower bound for experimental design in parallel imaging.

Authors:  Mustapha Bouhrara; Richard G Spencer
Journal:  Magn Reson Med       Date:  2017-11-01       Impact factor: 4.668

5.  Efficient DCE-MRI Parameter and Uncertainty Estimation Using a Neural Network.

Authors:  Yannick Bliesener; Jay Acharya; Krishna S Nayak
Journal:  IEEE Trans Med Imaging       Date:  2019-11-26       Impact factor: 10.048

6.  Impact of (k,t) sampling on DCE MRI tracer kinetic parameter estimation in digital reference objects.

Authors:  Yannick Bliesener; Sajan G Lingala; Justin P Haldar; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2019-10-12       Impact factor: 4.668

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