Literature DB >> 17685416

Quantitative regional oxygen transfer imaging of the human lung.

Johannes F T Arnold1, Markus Kotas, Florian Fidler, Eberhard D Pracht, Michael Flentje, Peter M Jakob.   

Abstract

PURPOSE: To demonstrate that the use of nonquantitative methods in oxygen-enhanced (OE) lung imaging can be problematic and to present a new approach for quantitative OE lung imaging, which fulfills the requirements for easy application in clinical practice.
MATERIALS AND METHODS: A total of 10 healthy volunteers and three non-small-cell lung cancer (NSCLC) patients were examined using a 1.5T scanner. OE imaging was performed using a snapshot fast low-angle shot (FLASH) T(1)-mapping technique (TE = 1.4 msec, TR = 3.5 msec) as well as a series of T(1)-weighted inversion recovery (IR) half- Fourier acquisition single-shot turbo spin-echo (HASTE) (TE(effective) = 43 msec, TE(inter) = 4.2 msec, and inversion time [TI] = 1200 msec) images. Semiquantitative relative signal enhancement ratios (RER) of T(1)-weighted images before and after inhalation of oxygen-enriched gas were compared to the quantitative change in T(1). A hybrid method is proposed that combines the advantages of T(1)-weighted imaging with the quantification provided by T(1)-mapping. To this end, the IR-HASTE images were transformed into quantitative parameter maps. To prevent mismatching and incorrect parameter maps, retrospective image selection was performed using a postprocessing navigator technique.
RESULTS: The RER was dependent on the intrinsic values of T(1) in the lung. Quantitative parameters, such as the decrease of T(1) after switching the breathing gas, were more suited to oxygen transfer quantification than to relative signal enhancement. The mean T(1) value during inhalation of room air (T(1,room)) for the volunteers was 1260 msec. This value decreased by about 10% after switching the breathing gas to carbogen. For the patients, the mean T(1,room) value was 1182 msec, which decreased by about 7% when breathing carbogen. The parameter maps generated using the proposed hybrid method deviated, on average, only about 1% from the T(1)-maps.
CONCLUSION: For the purpose of intersubject comparison, OE lung imaging should be performed quantitatively. The proposed hybrid technique produced reliable quantitative results in a short amount of time and, therefore, is suited for clinical use. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17685416     DOI: 10.1002/jmri.21033

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


  5 in total

1.  Multiparametric oxygen-enhanced functional lung imaging in 3D.

Authors:  Kathrin R F Hemberger; Peter M Jakob; Felix A Breuer
Journal:  MAGMA       Date:  2014-10-09       Impact factor: 2.310

Review 2.  Imaging hypoxia in gliomas.

Authors:  I Mendichovszky; A Jackson
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

Review 3.  Imaging tumour hypoxia with oxygen-enhanced MRI and BOLD MRI.

Authors:  James P B O'Connor; Simon P Robinson; John C Waterton
Journal:  Br J Radiol       Date:  2019-01-24       Impact factor: 3.039

Review 4.  [Oxygen-enhanced functional MR lung imaging].

Authors:  M Beer; D Stäb; M Oechsner; D Hahn; H Köstler; H Hebestreit; P Jakob
Journal:  Radiologe       Date:  2009-08       Impact factor: 0.635

5.  Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models.

Authors:  James P B O'Connor; Jessica K R Boult; Yann Jamin; Muhammad Babur; Katherine G Finegan; Kaye J Williams; Ross A Little; Alan Jackson; Geoff J M Parker; Andrew R Reynolds; John C Waterton; Simon P Robinson
Journal:  Cancer Res       Date:  2015-12-09       Impact factor: 12.701

  5 in total

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