Literature DB >> 28479341

Towards intrinsic R2* imaging in the prostate at 3 and 7tesla.

Mariska P Luttje1, Laurens D van Buuren2, Peter R Luijten3, Marco van Vulpen3, Uulke A van der Heide2, Dennis W J Klomp3.   

Abstract

PURPOSE: Hypoxia is an important marker for resistance to therapy. In this study, we quantify the macroscopic effects of R2* mapping in prostate cancer patients incorporating susceptibility matching and field strengths effects.
MATERIALS AND METHODS: 91 patients were scanned without endorectal coil (ERC) at 3T. Only when rectal gas was absent, data was included for analysis. Another group of 10 patients was scanned using a susceptibility matched ERC. To assess the residual contamination of R2 and macroscopic field non-uniformities, a group of 10 patients underwent ultra-high resolution 7T MRI.
RESULTS: Of the patients scanned at 3T 60% presented rectal gas and were excluded, due to susceptibility artifacts. At 3T the tumor was significantly different (P<0.01) from the healthy surrounding tissue in R2* values at intrapatient level. Using the measured median R2* value of 24.9s-1 at 3T and 43.2s-1 at 7T of the peripheral zone, the minimum contribution of macroscopic susceptibility effects is 15% at 3T.
CONCLUSION: R2* imaging might be a promising tool for hypoxia imaging, particularly when minimizing macroscopic susceptibility effects contaminating intrinsic R2* of tissue, such as rectal gas. At 3T macroscopic effects still contribute 15% in the R2* value, compared to ultra-high resolution R2* mapping at 7T.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bold; High field; Hypoxia; Prostate (cancer); R2*

Mesh:

Year:  2017        PMID: 28479341     DOI: 10.1016/j.mri.2017.04.014

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  3 in total

1.  Blood oxygenation level-dependent MRI at 3T for differentiating prostate cancer from benign tissue: a preliminary experience.

Authors:  Yongtae Kim; Jung Jae Park; Chan Kyo Kim
Journal:  Br J Radiol       Date:  2021-07-08       Impact factor: 3.039

Review 2.  Quantitative imaging for radiotherapy purposes.

Authors:  Oliver J Gurney-Champion; Faisal Mahmood; Marcel van Schie; Robert Julian; Ben George; Marielle E P Philippens; Uulke A van der Heide; Daniela Thorwarth; Kathrine R Redalen
Journal:  Radiother Oncol       Date:  2020-02-27       Impact factor: 6.280

3.  Quantitative MRI Changes During Weekly Ultra-Hypofractionated Prostate Cancer Radiotherapy With Integrated Boost.

Authors:  Marcel A van Schie; Petra J van Houdt; Ghazaleh Ghobadi; Floris J Pos; Iris Walraven; Hans C J de Boer; Cornelis A T van den Berg; Robert Jan Smeenk; Linda G W Kerkmeijer; Uulke A van der Heide
Journal:  Front Oncol       Date:  2019-12-04       Impact factor: 6.244

  3 in total

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