Literature DB >> 29705876

Comparative study of pulsed-continuous arterial spin labeling and dynamic susceptibility contrast imaging by histogram analysis in evaluation of glial tumors.

Atsuko Arisawa1, Yoshiyuki Watanabe2, Hisashi Tanaka1, Hiroto Takahashi1, Chisato Matsuo1, Takuya Fujiwara1, Masahiro Fujiwara1, Yasunori Fujimoto3, Noriyuki Tomiyama1.   

Abstract

PURPOSE: Arterial spin labeling (ASL) is a non-invasive perfusion technique that may be an alternative to dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) for assessment of brain tumors. To our knowledge, there have been no reports on histogram analysis of ASL. The purpose of this study was to determine whether ASL is comparable with DSC-MRI in terms of differentiating high-grade and low-grade gliomas by evaluating the histogram analysis of cerebral blood flow (CBF) in the entire tumor.
METHODS: Thirty-four patients with pathologically proven glioma underwent ASL and DSC-MRI. High-signal areas on contrast-enhanced T1-weighted images or high-intensity areas on fluid-attenuated inversion recovery images were designated as the volumes of interest (VOIs). ASL-CBF, DSC-CBF, and DSC-cerebral blood volume maps were constructed and co-registered to the VOI. Perfusion histogram analyses of the whole VOI and statistical analyses were performed to compare the ASL and DSC images.
RESULTS: There was no significant difference in the mean values for any of the histogram metrics in both of the low-grade gliomas (n = 15) and the high-grade gliomas (n = 19). Strong correlations were seen in the 75th percentile, mean, median, and standard deviation values between the ASL and DSC images. The area under the curve values tended to be greater for the DSC images than for the ASL images.
CONCLUSIONS: DSC-MRI is superior to ASL for distinguishing high-grade from low-grade glioma. ASL could be an alternative evaluation method when DSC-MRI cannot be used, e.g., in patients with renal failure, those in whom repeated examination is required, and in children.

Entities:  

Keywords:  Dynamic susceptibility contrast imaging; Glial tumors; Histogram analysis; Pulsed-continuous arterial spin labeling

Mesh:

Substances:

Year:  2018        PMID: 29705876     DOI: 10.1007/s00234-018-2024-2

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


  46 in total

1.  Regional and voxel-wise comparisons of blood flow measurements between dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) and arterial spin labeling (ASL) in brain tumors.

Authors:  Carissa M White; Whitney B Pope; Taryar Zaw; Joe Qiao; Kourosh M Naeini; Albert Lai; Phioanh L Nghiemphu; J J Wang; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  J Neuroimaging       Date:  2012-06-05       Impact factor: 2.486

2.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis.

Authors:  L Ostergaard; R M Weisskoff; D A Chesler; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

3.  Prognostic value of blood flow estimated by arterial spin labeling and dynamic susceptibility contrast-enhanced MR imaging in high-grade gliomas.

Authors:  Mandy Kim Rau; Christian Braun; Marco Skardelly; Jens Schittenhelm; Frank Paulsen; Benjamin Bender; Ulrike Ernemann; Sotirios Bisdas
Journal:  J Neurooncol       Date:  2014-08-27       Impact factor: 4.130

4.  Gadolinium-based Contrast Agent Accumulates in the Brain Even in Subjects without Severe Renal Dysfunction: Evaluation of Autopsy Brain Specimens with Inductively Coupled Plasma Mass Spectroscopy.

Authors:  Tomonori Kanda; Toshio Fukusato; Megumi Matsuda; Keiko Toyoda; Hiroshi Oba; Jun'ichi Kotoku; Takahiro Haruyama; Kazuhiro Kitajima; Shigeru Furui
Journal:  Radiology       Date:  2015-05-05       Impact factor: 11.105

Review 5.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

6.  Macrocyclic and Other Non-Group 1 Gadolinium Contrast Agents Deposit Low Levels of Gadolinium in Brain and Bone Tissue: Preliminary Results From 9 Patients With Normal Renal Function.

Authors:  Nozomu Murata; Luis F Gonzalez-Cuyar; Kiyoko Murata; Corinne Fligner; Russell Dills; Daniel Hippe; Kenneth R Maravilla
Journal:  Invest Radiol       Date:  2016-07       Impact factor: 6.016

7.  Arterial spin-labeled perfusion of pediatric brain tumors.

Authors:  K W Yeom; L A Mitchell; R M Lober; P D Barnes; H Vogel; P G Fisher; M S Edwards
Journal:  AJNR Am J Neuroradiol       Date:  2013-08-01       Impact factor: 3.825

8.  The 2016 revision of the WHO Classification of Central Nervous System Tumours: retrospective application to a cohort of diffuse gliomas.

Authors:  Te Whiti Rogers; Gurvinder Toor; Katharine Drummond; Craig Love; Kathryn Field; Rebecca Asher; Alpha Tsui; Michael Buckland; Michael Gonzales
Journal:  J Neurooncol       Date:  2017-12-07       Impact factor: 4.130

9.  Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas.

Authors:  M Law; R Young; J Babb; E Pollack; G Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2007-04       Impact factor: 3.825

10.  Automated macrovessel artifact correction in dynamic susceptibility contrast magnetic resonance imaging using independent component analysis.

Authors:  Gernot Reishofer; Karl Koschutnig; Christian Enzinger; Anja Ischebeck; Stephen Keeling; Rudolf Stollberger; Franz Ebner
Journal:  Magn Reson Med       Date:  2010-10-06       Impact factor: 4.668

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  5 in total

1.  Expression and clinical significance of p73 in Wilms tumor in children.

Authors:  Yan Ding; Xiaohui Guo; Xinxin Liu; Jitao Li; Ning Li; Cong Xu
Journal:  Oncol Lett       Date:  2019-04-15       Impact factor: 2.967

2.  Using arterial spin labeling blood flow and its histogram analysis to distinguish early-stage nasopharyngeal carcinoma from lymphoid hyperplasia.

Authors:  Bohan Xiao; Peiguo Wang; Yingru Zhao; Ying Liu; Zhaoxiang Ye
Journal:  Medicine (Baltimore)       Date:  2021-02-26       Impact factor: 1.817

3.  3D pCASL-perfusion in preoperative assessment of brain gliomas in large cohort of patients.

Authors:  A I Batalov; N E Zakharova; I N Pronin; A Yu Belyaev; E L Pogosbekyan; S A Goryaynov; A E Bykanov; A N Tyurina; A M Shevchenko; K D Solozhentseva; P V Nikitin; A A Potapov
Journal:  Sci Rep       Date:  2022-02-08       Impact factor: 4.379

4.  A simple model for glioma grading based on texture analysis applied to conventional brain MRI.

Authors:  José Gerardo Suárez-García; Javier Miguel Hernández-López; Eduardo Moreno-Barbosa; Benito de Celis-Alonso
Journal:  PLoS One       Date:  2020-05-15       Impact factor: 3.240

5.  The diagnostic value of quantitative analysis of ASL, DSC-MRI and DKI in the grading of cerebral gliomas: a meta-analysis.

Authors:  Jixin Luan; Mingzhen Wu; Xiaohui Wang; Lishan Qiao; Guifang Guo; Chuanchen Zhang
Journal:  Radiat Oncol       Date:  2020-08-24       Impact factor: 3.481

  5 in total

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