Literature DB >> 25350816

T1 in high-grade glioma and the influence of different measurement strategies on parameter estimations in DCE-MRI.

Christopher Larsson1, Magne Kleppestø1,2, Inge Grothe3, Jonas Vardal1,2, Atle Bjørnerud1,4.   

Abstract

BACKGROUND: To investigate the evolution of T1 in tumor and the necessity of baseline T1 (T1 (0)) mapping for the accurate estimation of kinetic parameters during standard therapy using dynamic contrast enhanced (DCE) MRI in patients with high-grade glioma (HGG).
METHODS: Longitudinal DCE-MRI was performed in 23 patients (196 scans) with confirmed HGG. Kinetic parameters were derived from the extended Tofts model and analyzed both using fixed and pixel-wise T1 (0) values estimated from a Look-Locker sequence. Median tumor T1 value from all scans was used for fixed T1 (0) analysis. Dependence of accurate T1 (0) mapping for the estimation of the kinetic parameters was further investigated through computer simulations and histogram analysis.
RESULTS: T1 in tumor increased significantly during and after treatment (P < 0.001). There was a linear correlation between the error in 1/T1 (0) and the resulting error in estimated parameters in both simulations and clinical data (r(2) >0.98 for all parameters). A strong correlation between the estimated longitudinal change in all kinetic parameters obtained using pixel-wise and fixed T1 (0) was observed (r(2) > 0.84 for all parameters). Histogram analysis revealed a linear change (r(2) > 0.62) in K(trans) normalized histogram peak height ratio as function of percentage deviation from the nominal T1 (0) value. No effect of T1 (0) histogram distribution on K(trans) was observed (P = 0.52).
CONCLUSION: Temporal changes in the median kinetic parameters in tumor were equally well described using pixel-wise and fixed T1 (0) despite an increase in T1 (0) over time, suggesting that T1 mapping is not generally required in DCE-MRI based monitoring of glioma patients.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  DCE-MRI; T1; Tofts model; brain tumor; glioma; relaxometry

Mesh:

Substances:

Year:  2014        PMID: 25350816     DOI: 10.1002/jmri.24772

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  Impact of uncertainty in longitudinal T1 measurements on quantification of dynamic contrast-enhanced MRI.

Authors:  Madhava P Aryal; Thomas L Chenevert; Yue Cao
Journal:  NMR Biomed       Date:  2016-01-21       Impact factor: 4.044

2.  Comparison of T1 mapping and fixed T1 method for dynamic contrast-enhanced MRI perfusion in brain gliomas.

Authors:  G M Conte; L Altabella; A Castellano; V Cuccarini; A Bizzi; M Grimaldi; A Costa; M Caulo; A Falini; N Anzalone
Journal:  Eur Radiol       Date:  2019-04-10       Impact factor: 5.315

3.  The impact of reliable prebolus T 1 measurements or a fixed T 1 value in the assessment of glioma patients with dynamic contrast enhancing MRI.

Authors:  Anna Tietze; Kim Mouridsen; Irene Klærke Mikkelsen
Journal:  Neuroradiology       Date:  2015-03-06       Impact factor: 2.804

4.  T1 and ADC histogram parameters may be an in vivo biomarker for predicting the grade, subtype, and proliferative activity of meningioma.

Authors:  Tiexin Cao; Rifeng Jiang; Lingmin Zheng; Rufei Zhang; Xiaodan Chen; Zongmeng Wang; Peirong Jiang; Yilin Chen; Tianjin Zhong; Hu Chen; PuYeh Wu; Yunjing Xue; Lin Lin
Journal:  Eur Radiol       Date:  2022-08-12       Impact factor: 7.034

5.  Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters.

Authors:  Yousef Mazaheri; Nathanael Kim; Yulia Lakhman; Ramin Jafari; Alberto Vargas; Ricardo Otazo
Journal:  NMR Biomed       Date:  2022-03-14       Impact factor: 4.478

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

7.  Operator dependency of arterial input function in dynamic contrast-enhanced MRI.

Authors:  Magne Kleppestø; Atle Bjørnerud; Inge Rasmus Groote; Minjae Kim; Jonas Vardal; Christopher Larsson
Journal:  MAGMA       Date:  2021-07-02       Impact factor: 2.310

  7 in total

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