Literature DB >> 15723381

Comparison of relative forced expiratory volume of one second with dynamic magnetic resonance imaging parameters in healthy subjects and patients with lung cancer.

Christian Plathow1, Christian Fink, Alexandra Sandner, Sebastian Ley, Michael Puderbach, Monika Eichinger, Astrid Schmähl, Hans-Ulrich Kauczor.   

Abstract

PURPOSE: To assess relative forced expiratory volume in one second (FEV1/vital capacity (VC)) in healthy subjects and patients with a lung tumor using dynamic magnetic resonance imaging (dMRI) parameters.
MATERIALS AND METHODS: In 15 healthy volunteers and 31 patients with a non-small-cell lung carcinoma stage I (NSCLC I), diaphragmatic length change (LE1) and craniocaudal (CC) intrathoracic distance change within one second from maximal inspiration (DE1) were divided by total length change (LE(total), DE(total)) as a surrogate of spirometric FEV1/VC using a true fast imaging with steady-state precession (trueFISP) sequence (TE/TR = 1.7/37.3 msec, temporal resolution = 3 images/second). Influence of tumor localization was examined.
RESULTS: In healthy volunteers FEV1/VC showed a highly significant correlation with LE1/LE(total) and DE1/DE(total) (r > 0.9, P < 0.01). In stage IB tumor patients, comparing tumor-bearing with the non-tumor-bearing hemithorax, there was a significant difference in tumors of the middle (LE1/LE(total) = 0.63 +/- 0.05 vs. 0.73 +/- 0.04, DE1/DE(total) = 0.66 +/- 0.05 vs. 0.72 +/- 0.04; P < 0.05) and lower (P < 0.05) lung region. Stage IA tumor patients showed no significant differences with regard to healthy subjects.
CONCLUSION: dMRI is a simple noninvasive method to locally determine LE1/LE(total) and DE1/DE(total) as a surrogate of FEV1/VC in volunteers and patients. Tumors of the middle and lower lung regions have a significant influence on these MRI parameters. (c) 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 15723381     DOI: 10.1002/jmri.20255

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


  9 in total

1.  Blind Compressed Sensing Enables 3-Dimensional Dynamic Free Breathing Magnetic Resonance Imaging of Lung Volumes and Diaphragm Motion.

Authors:  Sampada Bhave; Sajan Goud Lingala; John D Newell; Scott K Nagle; Mathews Jacob
Journal:  Invest Radiol       Date:  2016-06       Impact factor: 6.016

Review 2.  [Visualization of pulmonary nodules with magnetic resonance imaging (MRI)].

Authors:  C Plathow; H-P Meinzer; H-U Kauczor
Journal:  Radiologe       Date:  2006-04       Impact factor: 0.635

3.  Therapy monitoring using dynamic MRI: analysis of lung motion and intrathoracic tumor mobility before and after radiotherapy.

Authors:  Christian Plathow; Holger Hof; Sabine Kuhn; Michael Puderbach; Sebastian Ley; Juergen Biederer; Claus D Claussen; Peter E Huber; Juergen Schaefer; Siegfried Tuengerthal; Hans-Ulrich Kauczor
Journal:  Eur Radiol       Date:  2006-04-21       Impact factor: 5.315

4.  Assessment of reproducibility and stability of different breath-hold maneuvres by dynamic MRI: comparison between healthy adults and patients with pulmonary hypertension.

Authors:  Christian Plathow; Sebastian Ley; Julia Zaporozhan; Max Schöbinger; Ekkehard Gruenig; Michael Puderbach; Monika Eichinger; Hans-Peter Meinzer; Ivan Zuna; Hans-Ulrich Kauczor
Journal:  Eur Radiol       Date:  2005-06-21       Impact factor: 5.315

5.  Influence of the distribution of emphysema on diaphragmatic motion in patients with chronic obstructive pulmonary disease.

Authors:  Tae Iwasawa; Hiroshi Takahashi; Takashi Ogura; Akira Asakura; Toshiyuki Gotoh; Hirofumi Shibata; Tomio Inoue
Journal:  Jpn J Radiol       Date:  2011-05-24       Impact factor: 2.374

6.  Free-breathing MR elastography of the lungs: An in vivo study.

Authors:  Faisal Fakhouri; Stephan Kannengiesser; Josef Pfeuffer; Yevgeniya Gokun; Arunark Kolipaka
Journal:  Magn Reson Med       Date:  2021-08-31       Impact factor: 4.668

7.  Lung motion and volume measurement by dynamic 3D MRI using a 128-channel receiver coil.

Authors:  Junichi Tokuda; Melanie Schmitt; Yanping Sun; Samuel Patz; Yi Tang; Carolyn E Mountford; Nobuhiko Hata; Lawrence L Wald; Hiroto Hatabu
Journal:  Acad Radiol       Date:  2009-01       Impact factor: 3.173

8.  Imaging tumour motion for radiotherapy planning using MRI.

Authors:  Hans-Ulrich Kauczor; Christian Plathow
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

9.  Diaphragm postural function analysis using magnetic resonance imaging.

Authors:  Pavel Vostatek; Daniel Novák; Tomas Rychnovský; Sarka Rychnovská
Journal:  PLoS One       Date:  2013-03-14       Impact factor: 3.240

  9 in total

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