Literature DB >> 18423312

Pharmacokinetic analysis of malignant pleural mesothelioma-initial results of tumor microcirculation and its correlation to microvessel density (CD-34).

Frederik L Giesel1, Peter L Choyke, Amit Mehndiratta, Christian M Zechmann, Henrik von Tengg-Kobligk, Klaus Kayser, Helge Bischoff, Christian Hintze, Stefan Delorme, M A Weber, Marco Essig, Hans-Ulrich Kauczor, Michael V Knopp.   

Abstract

RATIONALE AND
OBJECTIVES: Malignant mesothelioma (MM) of the pleura is an aggressive and often fatal neoplasm. Because MM frequently demonstrates marked angiogenesis, it may be responsive to antiangiogenic therapy, but effective methods for selecting and monitoring of patients are further needed. We employed dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and quantitative immunohistochemistry (IHC) to characterize the microvascularity of MM using both a physiologic and ultrastructural method.
MATERIALS AND METHODS: Nineteen patients diagnosed with MM were enrolled and DCE-MRI was performed before antiangiogenic treatment. For each patient, tumor regions were characterized by their DCE-MRI-derived pharmacokinetic parameters (Amp, k(ep), k(el)), which were also compared to those of normal tissue (aorta, liver, spleen, and muscle). In addition, quantitative IHC of representative samples was performed with CD-34 staining to compare the calculated microvessel density (MVD) results with DCE-MRI results.
RESULTS: MM demonstrated markedly abnormal pharmacokinetic properties compared with normal tissues. Among the parameters tested, Amp was significantly different in MM (P < or = .001) compared to normal organs. Despite the observation that the MVD of mesotheliomas in this series was high compared to other tumors, DCE-MRI pharmacokinetic parameters had a moderately positive correlation with MVD (r = 0.5).
CONCLUSIONS: DCE-MRI and IHC can be used in patients with MM to visualize tumor microvascularity and to characterize tumor heterogeneity. DCE-MRI and IHC results positively correlated, though moderately, but these two methods present as essential tumor biomarkers. This multimodal characterization may be useful in selecting possible tumor subtypes that would benefit from antiangiogenic therapy.

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Year:  2008        PMID: 18423312     DOI: 10.1016/j.acra.2007.12.014

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  11 in total

1.  Simulation-based comparison of two approaches frequently used for dynamic contrast-enhanced MRI.

Authors:  Stefan Zwick; Gunnar Brix; Paul S Tofts; Ralph Strecker; Annette Kopp-Schneider; Hendrik Laue; Wolfhard Semmler; Fabian Kiessling
Journal:  Eur Radiol       Date:  2009-09-01       Impact factor: 5.315

2.  Clinical Implementation of a Free-Breathing, Motion-Robust Dynamic Contrast-Enhanced MRI Protocol to Evaluate Pleural Tumors.

Authors:  Thomas S C Ng; Ravi T Seethamraju; Raphael Bueno; Ritu R Gill
Journal:  AJR Am J Roentgenol       Date:  2020-04-29       Impact factor: 3.959

Review 3.  Applications of Magnetic Resonance Imaging of the Thorax in Pleural Diseases: A State-of-the-Art Review.

Authors:  Fernanda Miraldi Clemente Pessôa; Alessandro Severo Alves de Melo; Arthur Soares Souza; Luciana Soares de Souza; Bruno Hochhegger; Gláucia Zanetti; Edson Marchiori
Journal:  Lung       Date:  2016-06-14       Impact factor: 2.584

4.  Comparison of diagnostic quality and accuracy in color-coded versus gray-scale DCE-MR imaging display.

Authors:  A Mehndiratta; M V Knopp; C M Zechmann; M Owsijewitsch; H von Tengg-Kobligk; P Zamecnik; H U Kauczor; P L Choyke; F L Giesel
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-06-04       Impact factor: 2.924

Review 5.  Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: a review.

Authors:  Xiangyu Yang; Michael V Knopp
Journal:  J Biomed Biotechnol       Date:  2011-04-26

6.  Early Contrast Enhancement: A novel magnetic resonance imaging biomarker of pleural malignancy.

Authors:  Selina Tsim; Catherine A Humphreys; Gordon W Cowell; David B Stobo; Colin Noble; Rosemary Woodward; Caroline A Kelly; Laura Alexander; John E Foster; Craig Dick; Kevin G Blyth
Journal:  Lung Cancer       Date:  2018-02-03       Impact factor: 5.705

7.  Dynamic contrast-enhanced MRI of malignant pleural mesothelioma: a comparative study of pharmacokinetic models and correlation with mRECIST criteria.

Authors:  Martina Vivoda Tomšič; Sotirios Bisdas; Viljem Kovač; Igor Serša; Katarina Šurlan Popovič
Journal:  Cancer Imaging       Date:  2019-02-27       Impact factor: 3.909

8.  Dual-input tracer kinetic modeling of dynamic contrast-enhanced MRI in thoracic malignancies.

Authors:  Sang Ho Lee; Andreas Rimner; Joseph O Deasy; Margie A Hunt; Neelam Tyagi
Journal:  J Appl Clin Med Phys       Date:  2019-10-11       Impact factor: 2.102

Review 9.  Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome.

Authors:  James P B O'Connor; Chris J Rose; John C Waterton; Richard A D Carano; Geoff J M Parker; Alan Jackson
Journal:  Clin Cancer Res       Date:  2014-11-24       Impact factor: 12.531

10.  Is there a Role for Contrast-enhanced Ultrasound in the Detection and Biopsy of MRI Only Visible Breast Lesions?

Authors:  Aki Nykänen; Otso Arponen; Anna Sutela; Ritva Vanninen; Mazen Sudah
Journal:  Radiol Oncol       Date:  2017-11-29       Impact factor: 2.991

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