Literature DB >> 20578006

Intracranial tumor response to respiratory challenges at 3.0 T: impact of different methods to quantify changes in the MR relaxation rate R2*.

Andreas Müller1, Stefanie Remmele, Ingobert Wenningmann, Hans Clusmann, Frank Träber, Sebastian Flacke, Roy König, Jürgen Gieseke, Winfried A Willinek, Hans H Schild, Petra Mürtz.   

Abstract

PURPOSE: To compare two DeltaR2* quantification methods for analyzing the response of intracranial tumors to different breathing gases. The determination of changes in the magnetic resonance imaging (MRI) relaxation rate R2* (DeltaR2*), induced by hyperoxic and hypercapnic respiratory challenges, enables the noninvasive assessment of blood oxygenation changes and vasoreactivity.
MATERIALS AND METHODS: Sixteen patients with various intracranial tumors were examined at 3.0 T. The response to respiratory challenges was registered using a dynamic multigradient-echo sequence with high temporal and spatial resolution. At each dynamic step, DeltaR2* was derived in two different ways: 1) by subtraction of R2* values obtained from monoexponential decay functions, 2) by computing DeltaR2* echo-wise from signal intensity ratios. The sensitivity for detection of responding voxels and the behavior of the "global" response were investigated.
RESULTS: Significantly more responding voxels (about 4%) were found for method (1). The "global" response was independent from the chosen quantification method but showed slightly larger changes (about 6%) when DeltaR2* was derived from method (1).
CONCLUSION: Similar results were observed for the two methods, with a slightly higher detection sensitivity of responding voxels when DeltaR2* was obtained from monoexponential approximation. (c) 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20578006     DOI: 10.1002/jmri.22205

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


  6 in total

1.  Oxygenation in cervical cancer and normal uterine cervix assessed using blood oxygenation level-dependent (BOLD) MRI at 3T.

Authors:  Rami R Hallac; Yao Ding; Qing Yuan; Roderick W McColl; Jayanthi Lea; Robert D Sims; Paul T Weatherall; Ralph P Mason
Journal:  NMR Biomed       Date:  2012-05-23       Impact factor: 4.044

2.  Oxygen-sensitive MRI assessment of tumor response to hypoxic gas breathing challenge.

Authors:  Donghan M Yang; Tatsuya J Arai; James W Campbell; Jenifer L Gerberich; Heling Zhou; Ralph P Mason
Journal:  NMR Biomed       Date:  2019-05-07       Impact factor: 4.044

3.  Characterizing gradient echo signal decays in gynecologic cancers at 3T using a Gaussian augmentation of the monoexponential (GAME) model.

Authors:  Pelin A Ciris; Mukund Balasubramanian; Antonio L Damato; Ravi T Seethamraju; Clare M Tempany-Afdhal; Robert V Mulkern; Akila N Viswanathan
Journal:  J Magn Reson Imaging       Date:  2016-03-12       Impact factor: 4.813

4.  Correlations of noninvasive BOLD and TOLD MRI with pO2 and relevance to tumor radiation response.

Authors:  Rami R Hallac; Heling Zhou; Rajesh Pidikiti; Kwang Song; Strahinja Stojadinovic; Dawen Zhao; Timothy Solberg; Peter Peschke; Ralph P Mason
Journal:  Magn Reson Med       Date:  2013-06-27       Impact factor: 4.668

Review 5.  Using magnetic resonance imaging and spectroscopy in cancer diagnostics and monitoring: preclinical and clinical approaches.

Authors:  Risto A Kauppinen; Andrew C Peet
Journal:  Cancer Biol Ther       Date:  2011-10-15       Impact factor: 4.742

6.  Hemodynamic response imaging: a potential tool for the assessment of angiogenesis in brain tumors.

Authors:  Dafna Ben Bashat; Moran Artzi; Haim Ben Ami; Orna Aizenstein; Deborah T Blumenthal; Felix Bokstein; Benjamin W Corn; Zvi Ram; Avraham A Kanner; Biatris Lifschitz-Mercer; Irit Solar; Tsafrir Kolatt; Mika Palmon; Yifat Edrei; Rinat Abramovitch
Journal:  PLoS One       Date:  2012-11-27       Impact factor: 3.240

  6 in total

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