Literature DB >> 9702878

Pharmacokinetic MRI for assessment of malignant glioma response to stereotactic radiotherapy: initial results.

H Hawighorst1, M V Knopp, J Debus, U Hoffmann, M Grandy, J Griebel, I Zuna, M Essig, S O Schoenberg, A DeVries, G Brix, G van Kaick.   

Abstract

The purpose of this study was to assess the value of dynamic, contrast-enhanced MRI in patients with malignant glioma (a) to predict before stereotactic radiotherapy local tumor control, (b) to investigate temporal changes in tumor microcirculation after stereotactic radiotherapy, and (c) to analyze whether malignant glioma response may be predicted earlier by alterations in the tissue pharmacokinetics rather than in terms of tumor volume. Ninety MRI studies were performed of 18 patients with malignant glioma before and 6, 18, 26, 52, and 72 weeks after the end of stereotactic radiotherapy. The signal time courses of the contrast-enhanced tumors were analyzed using a pharmacokinetic two-compartment model that calculates for the parameter A, reflecting the degree of MRI signal enhancement [no units] and the exchange rate constant k21 [min(-1)]. Before radiotherapy, the amplitude A was significantly (P < .05) lower in patients with subsequent local tumor control (n = 8; mean A = .34 +/- .15) compared to patients without subsequent local tumor control (n = 10; mean A = .94 +/- .71). In the local tumor control group, early after stereotactic radiotherapy (at 6-18 weeks), there was a significant (P < .05) time-dependent decrease in the parameter k21, whereas there was still no alteration in the tumor volume. A low amplitude A before radiotherapy, combined with an early drop of k21 after stereotactic radiotherapy, reliably characterized the group of patients with subsequent tumor volume decrease. Our preliminary results suggest that two contrast-enhanced dynamic MR studies, one before and one early after stereotactic radiotherapy, offer important information on local tumor control within the first 6 to 18 weeks after stereotactic radiotherapy. Moreover, this response may be evidenced before tumor volume changes and provides a therapeutic window to broaden treatment options and to improve treatment outcome.

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Year:  1998        PMID: 9702878     DOI: 10.1002/jmri.1880080406

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


  12 in total

Review 1.  Causes and effects of heterogeneous perfusion in tumors.

Authors:  R J Gillies; P A Schornack; T W Secomb; N Raghunand
Journal:  Neoplasia       Date:  1999-08       Impact factor: 5.715

Review 2.  Tracer kinetic modelling of tumour angiogenesis based on dynamic contrast-enhanced CT and MRI measurements.

Authors:  Gunnar Brix; Jürgen Griebel; Fabian Kiessling; Frederik Wenz
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-08       Impact factor: 9.236

3.  Comparison between population average and experimentally measured arterial input function in predicting biopsy results in prostate cancer.

Authors:  Ran Meng; Silvia D Chang; Edward C Jones; S Larry Goldenberg; Piotr Kozlowski
Journal:  Acad Radiol       Date:  2010-01-13       Impact factor: 3.173

4.  Imaging biomarkers from multiparametric magnetic resonance imaging are associated with survival outcomes in patients with brain metastases from breast cancer.

Authors:  Bang-Bin Chen; Yen-Shen Lu; Chih-Wei Yu; Ching-Hung Lin; Tom Wei-Wu Chen; Shwu-Yuan Wei; Ann-Lii Cheng; Tiffany Ting-Fang Shih
Journal:  Eur Radiol       Date:  2018-05-16       Impact factor: 5.315

5.  Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer.

Authors:  William T C Yuh; Nina A Mayr; David Jarjoura; Dee Wu; John C Grecula; Simon S Lo; Susan M Edwards; Vincent A Magnotta; Steffen Sammet; Hualin Zhang; Joseph F Montebello; Jeffrey Fowler; Michael V Knopp; Jian Z Wang
Journal:  Invest Radiol       Date:  2009-06       Impact factor: 6.016

Review 6.  Value of magnetic resonance imaging in prostate cancer diagnosis.

Authors:  Friedrich Aigner; Leo Pallwein; Alexandre Pelzer; Georg Schaefer; Georg Bartsch; Dieter zur Nedden; Ferdinand Frauscher
Journal:  World J Urol       Date:  2007-06-14       Impact factor: 4.226

7.  Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples.

Authors:  Thomas E Yankeelov; John C Gore
Journal:  Curr Med Imaging Rev       Date:  2009-05-01

8.  Comparison of Glioblastomas and Brain Metastases using Dynamic Contrast-Enhanced Perfusion MRI.

Authors:  Brian C Jung; Julio Arevalo-Perez; John K Lyo; Andrei I Holodny; Sasan Karimi; Robert J Young; Kyung K Peck
Journal:  J Neuroimaging       Date:  2015-08-03       Impact factor: 2.486

Review 9.  Role of magnetic resonance methods in the evaluation of prostate cancer: an Indian perspective.

Authors:  Naranamangalam R Jagannathan; Virendra Kumar; Rajeev Kumar; Sanjay Thulkar
Journal:  MAGMA       Date:  2008-07-17       Impact factor: 2.310

10.  Quantitative assessment of tumor responses after radiation therapy in a DLD-1 colon cancer mouse model using serial dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Sung Jun Ahn; Woong Sub Koom; Chan Sik An; Joon Seok Lim; Seung-Koo Lee; Jin-Suck Suh; Ho-Taek Song
Journal:  Yonsei Med J       Date:  2012-11-01       Impact factor: 2.759

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