Literature DB >> 16125874

Dynamic contrast-enhanced magnetic resonance imaging of radiation therapy-induced microcirculation changes in rectal cancer.

Quido G de Lussanet1, Walter H Backes, Arjan W Griffioen, Anwar R Padhani, Coen I Baeten, Angela van Baardwijk, Philippe Lambin, Geerard L Beets, Jos M A van Engelshoven, Regina G H Beets-Tan.   

Abstract

PURPOSE: Dynamic contrast-enhanced T1-weighted magnetic resonance imaging (DCE-MRI) allows noninvasive evaluation of tumor microvasculature characteristics. This study evaluated radiation therapy related microvascular changes in locally advanced rectal cancer by DCE-MRI and histology. METHODS AND MATERIALS: Dynamic contrast-enhanced-MRI was performed in 17 patients with primary rectal cancer. Seven patients underwent 25 fractions of 1.8 Gy radiation therapy (RT) (long RT) before DCE-MRI and 10 did not. Of these 10, 3 patients underwent five fractions of 5 Gy RT (short RT) in the week before surgery. The RT treated and nontreated groups were compared in terms of endothelial transfer coefficient (K(PS), measured by DCE-MRI), microvessel density (MVD) (scored by immunoreactivity to CD31 and CD34), and tumor cell and endothelial cell proliferation (scored by immunoreactivity to Ki67).
RESULTS: Tumor K(PS) was 77% (p = 0.03) lower in the RT-treated group. Histogram analyses showed that RT reduced both magnitude and intratumor heterogeneity of K(PS) (p = 0.01). MVD was significantly lower (37%, p = 0.03) in tumors treated with long RT than in nonirradiated tumors, but this was not the case with short RT. Endothelial cell proliferation was reduced with short RT (81%, p = 0.02) just before surgery, but not with long RT (p > 0.8). Tumor cell proliferation was reduced with both long (57%, p < 0.001) and short RT (52%, p = 0.002).
CONCLUSION: Dynamic contrast-enhanced-MRI-derived K(PS) values showed significant radiation therapy related reductions in microvessel blood flow in locally advanced rectal cancer. These findings may be useful in evaluating effects of radiation combination therapies (e.g., chemoradiation or RT combined with antiangiogenesis therapy), to account for effects of RT alone.

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Year:  2005        PMID: 16125874     DOI: 10.1016/j.ijrobp.2005.04.052

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


  41 in total

Review 1.  Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies.

Authors:  James P B O'Connor; Alan Jackson; Geoff J M Parker; Caleb Roberts; Gordon C Jayson
Journal:  Nat Rev Clin Oncol       Date:  2012-02-14       Impact factor: 66.675

2.  T2 weighted signal intensity evolution may predict pathological complete response after treatment for rectal cancer.

Authors:  Ewelina Kluza; Esther D Rozeboom; Monique Maas; Milou Martens; Doenja M J Lambregts; Jos Slenter; Geerard L Beets; Regina G H Beets-Tan
Journal:  Eur Radiol       Date:  2012-07-10       Impact factor: 5.315

Review 3.  Diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for monitoring anticancer therapy.

Authors:  Anwar R Padhani; Aftab Alam Khan
Journal:  Target Oncol       Date:  2010-04-11       Impact factor: 4.493

4.  An expectation-maximisation approach for simultaneous pixel classification and tracer kinetic modelling in dynamic contrast enhanced-magnetic resonance imaging.

Authors:  Mario Sansone; Roberta Fusco; Antonella Petrillo; Mario Petrillo; Marcello Bracale
Journal:  Med Biol Eng Comput       Date:  2010-11-03       Impact factor: 2.602

Review 5.  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

Review 6.  Imaging radiation response in tumor and normal tissue.

Authors:  Marjan Rafat; Rehan Ali; Edward E Graves
Journal:  Am J Nucl Med Mol Imaging       Date:  2015-06-15

7.  Radiomics: a new application from established techniques.

Authors:  Vishwa Parekh; Michael A Jacobs
Journal:  Expert Rev Precis Med Drug Dev       Date:  2016-03-31

8.  Multi-parametric assessment of the anti-angiogenic effects of liposomal glucocorticoids.

Authors:  Ewelina Kluza; Marieke Heisen; Sophie Schmid; Daisy W J van der Schaft; Raymond M Schiffelers; Gert Storm; Bart M ter Haar Romeny; Gustav J Strijkers; Klaas Nicolay
Journal:  Angiogenesis       Date:  2011-01-12       Impact factor: 9.596

9.  Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.

Authors:  Liming Shi; Yang Zhang; Ke Nie; Xiaonan Sun; Tianye Niu; Ning Yue; Tiffany Kwong; Peter Chang; Daniel Chow; Jeon-Hor Chen; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2019-05-03       Impact factor: 2.546

10.  Tumor angiogenesis phenotyping by nanoparticle-facilitated magnetic resonance and near-infrared fluorescence molecular imaging.

Authors:  Peter A Jarzyna; Lisette H Deddens; Benjamin H Kann; Sarayu Ramachandran; Claudia Calcagno; Wei Chen; Anita Gianella; Rick M Dijkhuizen; Arjan W Griffioen; Zahi A Fayad; Willem J M Mulder
Journal:  Neoplasia       Date:  2012-10       Impact factor: 5.715

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