Literature DB >> 19775824

Longitudinal changes in tumor perfusion pattern during the radiation therapy course and its clinical impact in cervical cancer.

Nina A Mayr1, Jian Z Wang, Dongqing Zhang, John C Grecula, Simon S Lo, David Jaroura, Joseph Montebello, Hualin Zhang, Kaile Li, Lanchun Lu, Zhibin Huang, Jeffery M Fowler, Dee H Wu, Michael V Knopp, William T C Yuh.   

Abstract

PURPOSE: To study the temporal changes of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) perfusion patterns during the radiation therapy (RT) course and their influence on local control and survival in cervical cancer. METHODS AND MATERIALS: DCE-MRI was performed in 98 patients with Stage IB(2)-IVA cervical cancer before RT (pre-RT) and during early RT (20-25 Gy) and mid-RT (45-50 Gy). Signal intensity (SI) from the DCE-MRI time-SI curve was derived for each tumor voxel. The poorly perfused low-DCE tumor subregions were quantified as lower 10th percentiles of SI (SI10). Local control, disease-specific survival, and overall survival were correlated with DCE parameters at pre-RT, early RT, and mid-RT. Median follow-up was 4.9 (range, 0.2-9.0) years.
RESULTS: Patients (16/98) with initial pre-RT high DCE (SI10 >or=2.1) had 100% 5-year local control, 81% disease-specific survival, and 81% overall survival, compared with only 79%, 61%, and 55%, respectively, in patients with pre-RT low DCE. Conversion from pre-RT low DCE to high DCE in early RT (28/82 patients) was associated with higher local control, disease-specific survival, and overall survival (93%, 74%, and 67%, respectively). In comparison with all other groups, outcome was worst in patients with persistently low DCE from pre-RT throughout the mid-RT phase (66%, 44%, and 43%; p = 0.003, 0.003, and 0.020; respectively).
CONCLUSION: Longitudinal tumor perfusion changes during RT correlate with treatment outcome. Persistently low perfusion in pre-RT, early RT, and mid-RT indicates a high risk of treatment failure, whereas outcome is favorable in patients with initially high perfusion or subsequent improvements of initially low perfusion. These findings likely reflect reoxygenation and may have potential for noninvasive monitoring of intra-treatment radio-responsiveness and for guiding adaptive therapy. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19775824     DOI: 10.1016/j.ijrobp.2009.04.084

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  32 in total

1.  A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables.

Authors:  Mireia Crispin-Ortuzar; Jeho Jeong; Andrew N Fontanella; Joseph O Deasy
Journal:  Phys Med Biol       Date:  2017-01-31       Impact factor: 3.609

Review 2.  The promise of dynamic contrast-enhanced imaging in radiation therapy.

Authors:  Yue Cao
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

Review 3.  Image-based biomarkers in clinical practice.

Authors:  John E Bayouth; Thomas L Casavant; Michael M Graham; Milan Sonka; Manickam Muruganandham; John M Buatti
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

4.  Sequential magnetic resonance imaging of cervical cancer: the predictive value of absolute tumor volume and regression ratio measured before, during, and after radiation therapy.

Authors:  Jian Z Wang; Nina A Mayr; Dongqing Zhang; Kaile Li; John C Grecula; Joseph F Montebello; Simon S Lo; William T C Yuh
Journal:  Cancer       Date:  2010-11-01       Impact factor: 6.860

5.  Moving Forward in Cervical Cancer: Enhancing Susceptibility to DNA Repair Inhibition and Damage, an NCI Clinical Trials Planning Meeting Report.

Authors:  Matthew M Harkenrider; Merry Jennifer Markham; Don S Dizon; Anuja Jhingran; Ritu Salani; Ramy K Serour; Jean Lynn; Elise C Kohn
Journal:  J Natl Cancer Inst       Date:  2020-11-01       Impact factor: 13.506

Review 6.  Imaging hypoxia to improve radiotherapy outcome.

Authors:  Michael R Horsman; Lise Saksø Mortensen; Jørgen B Petersen; Morten Busk; Jens Overgaard
Journal:  Nat Rev Clin Oncol       Date:  2012-11-13       Impact factor: 66.675

Review 7.  Magnetic resonance imaging of the tumor microenvironment in radiotherapy: perfusion, hypoxia, and metabolism.

Authors:  Masayuki Matsuo; Shingo Matsumoto; James B Mitchell; Murali C Krishna; Kevin Camphausen
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

Review 8.  Clinical applications for diffusion magnetic resonance imaging in radiotherapy.

Authors:  Christina Tsien; Yue Cao; Thomas Chenevert
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

9.  Residual tumour volumes and grey zones after external beam radiotherapy (with or without chemotherapy) in cervical cancer patients. A low-field MRI study.

Authors:  M P Schmid; B Mansmann; M Federico; J C A Dimopoulous; P Georg; E Fidarova; W Dörr; R Pötter
Journal:  Strahlenther Onkol       Date:  2013-01-25       Impact factor: 3.621

10.  Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction.

Authors:  Zhibin Huang; Kevin A Yuh; Simon S Lo; John C Grecula; Steffen Sammet; Christina L Sammet; Guang Jia; Michael V Knopp; Qiang Wu; Norman J Beauchamp; William T C Yuh; Roy Wang; Nina A Mayr
Journal:  Magn Reson Imaging       Date:  2014-08-29       Impact factor: 2.546

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