Literature DB >> 19690076

Combination of high-resolution susceptibility-weighted imaging and the apparent diffusion coefficient: added value to brain tumour imaging and clinical feasibility of non-contrast MRI at 3 T.

S M Park1, H S Kim, G-H Jahng, C-W Ryu, S Y Kim.   

Abstract

The purpose of this study was to determine the benefit of high-resolution susceptibility-weighted imaging and the apparent diffusion coefficient for brain tumour imaging, and to assess the clinical feasibility of using a non-contrast MR protocol at 3 T. 73 patients with intra-axial tumours were enrolled into the study. Two experienced neuroradiologists reviewed three MRI sessions: (i) a non-contrast protocol including high-resolution susceptibility-weighted images and apparent diffusion coefficient; (ii) a contrast protocol including MR perfusion images; and (iii) combined contrast and non-contrast protocols. The two observers categorised tumours as glial or non-glial tumours, and then subcategorised the gliomas into low-grade or high-grade tumours. For semi-quantitative analysis, a scoring system based on the degree of intra-tumoral susceptibility signals and the visual apparent diffusion coefficient was used. The two observers diagnosed accurate tumour pathology in 52 (71%) of 73 tumours in the first review, 55 (75%) of 73 tumours in the second review and 61 (84%) of 73 tumours in the third review. The addition of the non-contrast protocol to the contrast protocol significantly differentiated glioblastoma multiforme and metastatic tumours, which was not possible with the contrast protocol alone. The sensitivity, specificity, positive predictive value and negative predictive value for glioma grading with the non-contrast protocol were 83.2%, 100%, 100% and 79.3%, respectively. The addition of both high-resolution susceptibility-weighted imaging and the apparent diffusion coefficient improved the diagnostic performance of the contrast MR protocol for brain tumour imaging and could be feasible in selected patients who cannot tolerate a contrast agent.

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Year:  2009        PMID: 19690076      PMCID: PMC3473590          DOI: 10.1259/bjr/34304111

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  21 in total

Review 1.  Methodology of brain perfusion imaging.

Authors:  E L Barbier; L Lamalle; M Décorps
Journal:  J Magn Reson Imaging       Date:  2001-04       Impact factor: 4.813

Review 2.  [Gliomas: WHO and Sainte-Anne Hospital classifications].

Authors:  C Daumas-Duport; F Beuvon; P Varlet; C Fallet-Bianco
Journal:  Ann Pathol       Date:  2000-10       Impact factor: 0.407

Review 3.  Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging.

Authors:  Soonmee Cha; Edmond A Knopp; Glyn Johnson; Stephan G Wetzel; Andrew W Litt; David Zagzag
Journal:  Radiology       Date:  2002-04       Impact factor: 11.105

4.  Susceptibility weighted imaging (SWI).

Authors:  E Mark Haacke; Yingbiao Xu; Yu-Chung N Cheng; Jürgen R Reichenbach
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

5.  Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions.

Authors:  W Möller-Hartmann; S Herminghaus; T Krings; G Marquardt; H Lanfermann; U Pilatus; F E Zanella
Journal:  Neuroradiology       Date:  2002-02-21       Impact factor: 2.804

6.  Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected].

Authors:  Michael H Lev; Yelda Ozsunar; John W Henson; Amjad A Rasheed; Glenn D Barest; Griffith R Harsh; Markus M Fitzek; E Antonio Chiocca; James D Rabinov; Andrew N Csavoy; Bruce R Rosen; Fred H Hochberg; Pamela W Schaefer; R Gilberto Gonzalez
Journal:  AJNR Am J Neuroradiol       Date:  2004-02       Impact factor: 3.825

7.  Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade.

Authors:  Meng Law; Stanley Yang; James S Babb; Edmond A Knopp; John G Golfinos; David Zagzag; Glyn Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2004-05       Impact factor: 3.825

Review 8.  Primary brain tumours in adults.

Authors:  Anthony Behin; Khe Hoang-Xuan; Antoine F Carpentier; Jean-Yves Delattre
Journal:  Lancet       Date:  2003-01-25       Impact factor: 79.321

9.  High-resolution three-dimensional contrast-enhanced blood oxygenation level-dependent magnetic resonance venography of brain tumors at 3 Tesla: first clinical experience and comparison with 1.5 Tesla.

Authors:  Markus Barth; Iris-Melanie Nöbauer-Huhmann; Jürgen R Reichenbach; Vladimir Mlynárik; Andreas Schöggl; Christian Matula; Siegfried Trattnig
Journal:  Invest Radiol       Date:  2003-07       Impact factor: 6.016

10.  Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging.

Authors:  Meng Law; Stanley Yang; Hao Wang; James S Babb; Glyn Johnson; Soonmee Cha; Edmond A Knopp; David Zagzag
Journal:  AJNR Am J Neuroradiol       Date:  2003 Nov-Dec       Impact factor: 3.825

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  11 in total

1.  Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging.

Authors:  X Li; D Wang; S Liao; L Guo; X Xiao; X Liu; Y Xu; J Hua; J J Pillai; Y Wu
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-05       Impact factor: 3.825

2.  Discriminating pyogenic brain abscesses, necrotic glioblastomas, and necrotic metastatic brain tumors by means of susceptibility-weighted imaging.

Authors:  Jui-Hsun Fu; Tzu-Chao Chuang; Hsiao-Wen Chung; Hing-Chiu Chang; Huey-Shyan Lin; Shu-Shong Hsu; Po-Chin Wang; Shuo-Hsiu Hsu; Huay-Ben Pan; Ping-Hong Lai
Journal:  Eur Radiol       Date:  2014-12-03       Impact factor: 5.315

3.  Intra-tumoral susceptibility signal: a post-processing technique for objective grading of astrocytoma with susceptibility-weighted imaging.

Authors:  Tzu-Chao Chuang; Yen-Lin Chen; Wan-Pin Shui; Hsiao-Wen Chung; Shu-Shong Hsu; Ping-Hong Lai
Journal:  Quant Imaging Med Surg       Date:  2022-01

Review 4.  Perfusion MRI as a diagnostic biomarker for differentiating glioma from brain metastasis: a systematic review and meta-analysis.

Authors:  Chong Hyun Suh; Ho Sung Kim; Seung Chai Jung; Choong Gon Choi; Sang Joon Kim
Journal:  Eur Radiol       Date:  2018-04-04       Impact factor: 5.315

5.  Joint approach of diffusion- and perfusion-weighted MRI in intra-axial mass like lesions in clinical practice simulation.

Authors:  Ra Gyoung Yoon; Ho Sung Kim; Gil Sun Hong; Ji Eun Park; Seung Chai Jung; Sang Joon Kim; Jeong Hoon Kim
Journal:  PLoS One       Date:  2018-09-07       Impact factor: 3.240

6.  Multi-parametric effect in predicting tumor histological grade by using susceptibility weighted magnetic resonance imaging in tongue squamous cell carcinoma.

Authors:  Xing Yang; Jinyu Zhu; Yongming Dai; Zhen Tian; Gongxin Yang; Huimin Shi; Yingwei Wu; Xiaofeng Tao
Journal:  BMC Med Imaging       Date:  2019-03-12       Impact factor: 1.930

7.  Quantitative susceptibility mapping differentiates between blood depositions and calcifications in patients with glioblastoma.

Authors:  Andreas Deistung; Ferdinand Schweser; Benedikt Wiestler; Mario Abello; Matthias Roethke; Felix Sahm; Wolfgang Wick; Armin Michael Nagel; Sabine Heiland; Heinz-Peter Schlemmer; Martin Bendszus; Jürgen Rainer Reichenbach; Alexander Radbruch
Journal:  PLoS One       Date:  2013-03-21       Impact factor: 3.240

Review 8.  Advanced MR imaging of gliomas: an update.

Authors:  Hung-Wen Kao; Shih-Wei Chiang; Hsiao-Wen Chung; Fong Y Tsai; Cheng-Yu Chen
Journal:  Biomed Res Int       Date:  2013-06-04       Impact factor: 3.411

9.  Susceptibility Imaging in Glial Tumor Grading; Using 3 Tesla Magnetic Resonance (MR) System and 32 Channel Head Coil.

Authors:  Omer Aydin; Ramazan Buyukkaya; Bahattin Hakyemez
Journal:  Pol J Radiol       Date:  2017-04-01

10.  Differentiation of Brain Metastases and Gliomas Based on Color Map of Phase Difference Enhanced Imaging.

Authors:  Satoshi Doishita; Shinichi Sakamoto; Tetsuya Yoneda; Takehiro Uda; Taro Tsukamoto; Eiji Yamada; Masami Yoneyama; Daisuke Kimura; Yutaka Katayama; Hiroyuki Tatekawa; Taro Shimono; Kenji Ohata; Yukio Miki
Journal:  Front Neurol       Date:  2018-09-21       Impact factor: 4.003

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