Literature DB >> 30972545

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

G M Conte1, L Altabella1, A Castellano1, V Cuccarini2, A Bizzi2, M Grimaldi3, A Costa4, M Caulo5, A Falini1, N Anzalone6.   

Abstract

OBJECTIVES: To compare dynamic contrast-enhanced MRI (DCE-MRI) data obtained using different prebolus T1 values in glioma grading and molecular profiling.
METHODS: We retrospectively reviewed 83 cases of gliomas: 46 lower-grade gliomas (LGG; grades II and III) and 37 high-grade gliomas (HGG; grade IV). DCE-MRI maps of plasma volume fraction (Vp), extravascular-extracellular volume fraction (Ve), and tracer transfer constant from plasma to tissue (Ktrans) were obtained using a fixed T1 value of 1400 ms and a measured T1 obtained with variable flip angle (VFA). Tumour segmentations were performed and first-order histogram parameters were extracted from volumes of interest (VOIs) after co-registration with the perfusion maps. The two methods were compared using Wilcoxon matched-pairs signed-rank test and Bland-Altman analysis. Diagnostic accuracy was obtained and compared using ROC curve analysis and DeLong's test.
RESULTS: Perfusion parameters obtained with the fixed T1 value were significantly higher than those obtained with the VFA. As regards diagnostic accuracy, there were no significant differences between the two methods both for glioma grading and molecular classification, except for few parameters of both methods.
CONCLUSIONS: DCE-MRI data obtained with different prebolus T1 are not comparable and the definition of a prebolus T1 by T1 mapping is not mandatory since it does not improve the diagnostic accuracy of DCE-MRI. KEY POINTS: • DCE-MRI data obtained with different prebolus T1 are significantly different, thus not comparable. • The definition of a prebolus T1 by T1 mapping is not mandatory since it does not improve the diagnostic accuracy of DCE-MRI for glioma grading. • The use of a fixed T1 value represents a valid alternative to T1 mapping for DCE-MRI analysis.

Entities:  

Keywords:  Brain; Glioma; Magnetic resonance imaging; Perfusion imaging

Mesh:

Substances:

Year:  2019        PMID: 30972545     DOI: 10.1007/s00330-019-06122-x

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  23 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.  Sensitive and fast T1 mapping based on two inversion recovery images and a reference image.

Authors:  Geon-Ho Jahng; Lara Stables; Andreas Ebel; Gerald B Matson; Dieter J Meyerhoff; Michael W Weiner; Norbert Schuff
Journal:  Med Phys       Date:  2005-06       Impact factor: 4.071

3.  Automatic selection of arterial input function using cluster analysis.

Authors:  Kim Mouridsen; Søren Christensen; Louise Gyldensted; Leif Ostergaard
Journal:  Magn Reson Med       Date:  2006-03       Impact factor: 4.668

4.  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

5.  On the accuracy of T1 mapping: searching for common ground.

Authors:  Nikola Stikov; Mathieu Boudreau; Ives R Levesque; Christine L Tardif; Joëlle K Barral; G Bruce Pike
Journal:  Magn Reson Med       Date:  2014-02-27       Impact factor: 4.668

6.  Dynamic contrast-enhanced MR imaging in predicting progression of enhancing lesions persisting after standard treatment in glioblastoma patients: a prospective study.

Authors:  Roh-Eul Yoo; Seung Hong Choi; Tae Min Kim; Chul-Kee Park; Sung-Hye Park; Jae-Kyung Won; Il Han Kim; Soon Tae Lee; Hye Jeong Choi; Sung-Hye You; Koung Mi Kang; Tae Jin Yun; Ji-Hoon Kim; Chul-Ho Sohn
Journal:  Eur Radiol       Date:  2016-12-14       Impact factor: 5.315

7.  Brain Gliomas: Multicenter Standardized Assessment of Dynamic Contrast-enhanced and Dynamic Susceptibility Contrast MR Images.

Authors:  Nicoletta Anzalone; Antonella Castellano; Marcello Cadioli; Gian Marco Conte; Valeria Cuccarini; Alberto Bizzi; Marco Grimaldi; Antonella Costa; Giovanni Grillea; Paolo Vitali; Domenico Aquino; Maria Rosa Terreni; Valter Torri; Bradley J Erickson; Massimo Caulo
Journal:  Radiology       Date:  2018-01-22       Impact factor: 11.105

8.  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

9.  Linear least-squares method for unbiased estimation of T1 from SPGR signals.

Authors:  Lin-Ching Chang; Cheng Guan Koay; Peter J Basser; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

10.  Diagnosis of brain tumors using dynamic contrast-enhanced perfusion imaging with a short acquisition time.

Authors:  Takashi Abe; Yoshifumi Mizobuchi; Kohei Nakajima; Yoichi Otomi; Saho Irahara; Yuki Obama; Mungunkhuyag Majigsuren; Delgerdalai Khashbat; Teruyoshi Kageji; Shinji Nagahiro; Masafumi Harada
Journal:  Springerplus       Date:  2015-02-24
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  12 in total

1.  Dynamic contrast-enhanced MRI may be helpful to predict response and prognosis after bevacizumab treatment in patients with recurrent high-grade glioma: comparison with diffusion tensor and dynamic susceptibility contrast imaging.

Authors:  Yae Won Park; Sung Soo Ahn; Ju Hyung Moon; Eui Hyun Kim; Seok-Gu Kang; Jong Hee Chang; Se Hoon Kim; Seung-Koo Lee
Journal:  Neuroradiology       Date:  2021-03-23       Impact factor: 2.804

2.  Response prediction of vestibular schwannoma after gamma-knife radiosurgery using pretreatment dynamic contrast-enhanced MRI: a prospective study.

Authors:  Inpyeong Hwang; Seung Hong Choi; Jin Wook Kim; Eung Koo Yeon; Ji Ye Lee; Roh-Eul Yoo; Koung Mi Kang; Tae Jin Yun; Ji-Hoon Kim; Chul-Ho Sohn
Journal:  Eur Radiol       Date:  2022-01-27       Impact factor: 5.315

3.  Estimation of Contrast Agent Concentration in DCE-MRI Using 2 Flip Angles.

Authors:  Ayesha Bharadwaj Das; James Andrew Tranos; Jin Zhang; Youssef Zaim Wadghiri; Sungheon Gene Kim
Journal:  Invest Radiol       Date:  2022-05-01       Impact factor: 6.016

4.  Evaluation of single bolus, dual-echo dynamic susceptibility contrast MRI protocols in brain tumor patients.

Authors:  Ashley M Stokes; Maurizio Bergamino; Lea Alhilali; Leland S Hu; John P Karis; Leslie C Baxter; Laura C Bell; C Chad Quarles
Journal:  J Cereb Blood Flow Metab       Date:  2021-08-20       Impact factor: 6.960

5.  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

6.  A pilot study of native T1-mapping for focal pulmonary lesions in 3.0 T magnetic resonance imaging: size estimation and differential diagnosis.

Authors:  Shuyi Yang; Fei Shan; Qinqin Yan; Jie Shen; Peiyan Ye; Zhiyong Zhang; Yuxin Shi; Rengyin Zhang
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 2.895

7.  Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading.

Authors:  Amir Khorasani; Mohamad Bagher Tavakoli; Masih Saboori; Milad Jalilian
Journal:  Eur J Radiol Open       Date:  2021-09-29

8.  The Utility of Diffusion and Perfusion Magnetic Resonance Imaging in Target Delineation of High-Grade Gliomas.

Authors:  Qian Fei; Lu-Xi Qian; Yu-Jie Zhang; Wen-Jie Guo; Xiu-Hua Bian; Li Yin; Peng-Wei Yan; Ting-Ting Wang; Pu-Dong Qian; Zhen Guo; Xia He
Journal:  Biomed Res Int       Date:  2020-08-10       Impact factor: 3.411

9.  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

Review 10.  Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading.

Authors:  Lelio Guida; Vittorio Stumpo; Jacopo Bellomo; Christiaan Hendrik Bas van Niftrik; Martina Sebök; Moncef Berhouma; Andrea Bink; Michael Weller; Zsolt Kulcsar; Luca Regli; Jorn Fierstra
Journal:  Cancers (Basel)       Date:  2022-03-10       Impact factor: 6.639

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