Literature DB >> 25744200

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.

Anna Tietze1, Kim Mouridsen, Irene Klærke Mikkelsen.   

Abstract

INTRODUCTION: Accurate quantification of hemodynamic parameters using dynamic contrast enhanced (DCE) MRI requires a measurement of tissue T 1 prior to contrast injection (T 1). We evaluate (i) T 1 estimation using the variable flip angle (VFA) and the saturation recovery (SR) techniques and (ii) investigate if accurate estimation of DCE parameters outperform a time-saving approach with a predefined T 1 value when differentiating high- from low-grade gliomas.
METHODS: The accuracy and precision of T 1 measurements, acquired by VFA and SR, were investigated by computer simulations and in glioma patients using an equivalence test (p > 0.05 showing significant difference). The permeability measure, K trans, cerebral blood flow (CBF), and - volume, V p, were calculated in 42 glioma patients, using fixed T 1 of 1500 ms or an individual T 1 measurement, using SR. The areas under the receiver operating characteristic curves (AUCs) were used as measures for accuracy to differentiate tumor grade.
RESULTS: The T 1 values obtained by VFA showed larger variation compared to those obtained using SR both in the digital phantom and the human data (p > 0.05). Although a fixed T 1 introduced a bias into the DCE calculation, this had only minor impact on the accuracy differentiating high-grade from low-grade gliomas, (AUCfix = 0.906 and AUCind = 0.884 for K trans; AUCfix = 0.863 and AUCind = 0.856 for V p; p for AUC comparison > 0.05).
CONCLUSION: T 1 measurements by VFA were less precise, and the SR method is preferable, when accurate parameter estimation is required. Semiquantitative DCE values, based on predefined T 1 values, were sufficient to perform tumor grading in our study.

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Year:  2015        PMID: 25744200     DOI: 10.1007/s00234-015-1502-z

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  27 in total

1.  Determining and optimizing the precision of quantitative measurements of perfusion from dynamic contrast enhanced MRI.

Authors:  Brian M Dale; John A Jesberger; Jonathan S Lewin; Claudia M Hillenbrand; Jeffrey L Duerk
Journal:  J Magn Reson Imaging       Date:  2003-11       Impact factor: 4.813

2.  Impact of motion on T1 mapping acquired with inversion recovery fast spin echo and rapid spoiled gradient recalled-echo pulse sequences for delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) in volunteers.

Authors:  Ueli Studler; Lawrence M White; Gustav Andreisek; Sheena Luu; Hai-Ling Margaret Cheng; Marshall S Sussman
Journal:  J Magn Reson Imaging       Date:  2010-08       Impact factor: 4.813

3.  Optimized and combined T1 and B1 mapping technique for fast and accurate T1 quantification in contrast-enhanced abdominal MRI.

Authors:  Reto Treier; Andreas Steingoetter; Michael Fried; Werner Schwizer; Peter Boesiger
Journal:  Magn Reson Med       Date:  2007-03       Impact factor: 4.668

4.  Quantification of cerebral blood flow, cerebral blood volume, and blood-brain-barrier leakage with DCE-MRI.

Authors:  Steven Sourbron; Michael Ingrisch; Axel Siefert; Maximilian Reiser; Karin Herrmann
Journal:  Magn Reson Med       Date:  2009-07       Impact factor: 4.668

5.  Measurement of brain perfusion, blood volume, and blood-brain barrier permeability, using dynamic contrast-enhanced T(1)-weighted MRI at 3 tesla.

Authors:  Henrik B W Larsson; Frédéric Courivaud; Egill Rostrup; Adam E Hansen
Journal:  Magn Reson Med       Date:  2009-11       Impact factor: 4.668

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

Authors:  Christopher Larsson; Magne Kleppestø; Inge Grothe; Jonas Vardal; Atle Bjørnerud
Journal:  J Magn Reson Imaging       Date:  2014-10-28       Impact factor: 4.813

7.  Reproducibility of dynamic contrast-enhanced MR imaging. Part I. Perfusion characteristics in the female pelvis by using multiple computer-aided diagnosis perfusion analysis solutions.

Authors:  Tobias Heye; Matthew S Davenport; Jeffrey J Horvath; Sebastian Feuerlein; Steven R Breault; Mustafa R Bashir; Elmar M Merkle; Daniel T Boll
Journal:  Radiology       Date:  2012-12-06       Impact factor: 11.105

8.  Transmit B1+ field inhomogeneity and T1 estimation errors in breast DCE-MRI at 3 tesla.

Authors:  Kyunghyun Sung; Bruce L Daniel; Brian A Hargreaves
Journal:  J Magn Reson Imaging       Date:  2013-01-04       Impact factor: 4.813

9.  Dynamic contrast-enhanced magnetic resonance imaging parameters independent of baseline T10 values.

Authors:  Jun-Yu Guo; Wilburn E Reddick; Mark A Rosen; Hee Kwon Song
Journal:  Magn Reson Imaging       Date:  2009-06-25       Impact factor: 2.546

10.  Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ).

Authors:  B Draganski; J Ashburner; C Hutton; F Kherif; R S J Frackowiak; G Helms; N Weiskopf
Journal:  Neuroimage       Date:  2011-01-28       Impact factor: 6.556

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  11 in total

1.  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

2.  Differential diagnosis of oligodendroglial and astrocytic tumors using imaging results: the added value of perfusion MR imaging.

Authors:  Hyun Jung Yoon; Kook Jin Ahn; Song Lee; Jin Hee Jang; Hyun Seok Choi; So Lyung Jung; Bum Soo Kim; Shin Soo Jeun; Yong Kil Hong
Journal:  Neuroradiology       Date:  2017-05-26       Impact factor: 2.804

3.  Volumetric Measurement of Relative CBV Using T1-Perfusion-Weighted MRI with High Temporal Resolution Compared with Traditional T2*-Perfusion-Weighted MRI in Postoperative Patients with High-Grade Gliomas.

Authors:  M Seo; K-J Ahn; Y Choi; N-Y Shin; J Jang; B-S Kim
Journal:  AJNR Am J Neuroradiol       Date:  2022-05-26       Impact factor: 4.966

4.  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

5.  Comparison between the Prebolus T1 Measurement and the Fixed T1 Value in Dynamic Contrast-Enhanced MR Imaging for the Differentiation of True Progression from Pseudoprogression in Glioblastoma Treated with Concurrent Radiation Therapy and Temozolomide Chemotherapy.

Authors:  J G Nam; K M Kang; S H Choi; W H Lim; R-E Yoo; J-H Kim; T J Yun; C-H Sohn
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-26       Impact factor: 3.825

Review 6.  Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.

Authors:  Jurgita Usinskiene; Agne Ulyte; Atle Bjørnerud; Jonas Venius; Vasileios K Katsaros; Ryte Rynkeviciene; Simona Letautiene; Darius Norkus; Kestutis Suziedelis; Saulius Rocka; Andrius Usinskas; Eduardas Aleknavicius
Journal:  Neuroradiology       Date:  2016-01-15       Impact factor: 2.804

7.  Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?

Authors:  Lin-Feng Yan; Ying-Zhi Sun; Sha-Sha Zhao; Yu-Chuan Hu; Yu Han; Gang Li; Xin Zhang; Qiang Tian; Zhi-Cheng Liu; Yang Yang; Hai-Yan Nan; Ying Yu; Qian Sun; Jin Zhang; Ping Chen; Bo Hu; Fei Li; Teng-Hui Han; Wen Wang; Guang-Bin Cui
Journal:  Cancer Manag Res       Date:  2019-11-27       Impact factor: 3.989

8.  Prognostic Value of Dynamic Contrast-Enhanced MRI-Derived Pharmacokinetic Variables in Glioblastoma Patients: Analysis of Contrast-Enhancing Lesions and Non-Enhancing T2 High-Signal Intensity Lesions.

Authors:  Sun Won Park; Seung Hong Choi; Yeonah Kang; Eun Kyoung Hong; Jung Hyo Rhim; Roh Eul Yoo; Koung Mi Kang; Tae Jin Yun; Ji Hoon Kim; Chul Ho Sohn
Journal:  Korean J Radiol       Date:  2020-06       Impact factor: 3.500

9.  Bayesian modeling of Dynamic Contrast Enhanced MRI data in cerebral glioma patients improves the diagnostic quality of hemodynamic parameter maps.

Authors:  Anna Tietze; Anne Nielsen; Irene Klærke Mikkelsen; Mikkel Bo Hansen; Annette Obel; Leif Østergaard; Kim Mouridsen
Journal:  PLoS One       Date:  2018-09-26       Impact factor: 3.240

10.  Imaging and histopathologic correlates of plasma cell-free DNA concentration and circulating tumor DNA in adult patients with newly diagnosed glioblastoma.

Authors:  Seyed Ali Nabavizadeh; Jeffrey B Ware; Samantha Guiry; MacLean P Nasrallah; Jazmine J Mays; Jacob E Till; Jasmin Hussain; Aseel Abdalla; Stephanie S Yee; Zev A Binder; Donald M O'Rourke; Steven Brem; Arati S Desai; Ronald Wolf; Erica L Carpenter; Stephen J Bagley
Journal:  Neurooncol Adv       Date:  2020-02-27
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