Cluster analysis of quantitative parametric maps from DCE-MRI: Application in evaluating heterogeneity of tumor response to antiangiogenic treatment
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Cluster analysis of quantitative parametric maps from DCE-MRI: Application in evaluating heterogeneity of tumor response to antiangiogenic treatment (569 views)

Longo DL, Dastrù W, Consolino L, Espak M, Arigoni M, Cavallo F, Aime S

Magn Reson Imaging (ISSN: 0730-725x), 2015; 33(6): 725-736.

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Paper type: Journal Article,

Impact factor: 1.98, 5-year impact factor: 2.327

Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84930927735&partnerID=40&md5=0a8837c84854801e249138816b61c686

Keywords: Antiangiogenic, Clustering, Dce-Mri, Gd-Complexes, Pharmacokinetic Modeling, Tumor Heterogeneity, Angiogenesis Inhibitor, Angiomotin, Gadocoletic Acid, Unclassified Drug, Animal Experiment, Animal Model, Antiangiogenic Therapy, Article, Breast Cancer, Cluster Analysis, Contrast Enhancement, Controlled Study, Dna Immunization, Drug Response, Dynamic Contrast Enhanced Magnetic Resonance Imaging, Histogram, Mouse, Nonhuman, Nuclear Magnetic Resonance Imaging, Nuclear Magnetic Resonance Scanner, Priority Journal, Contrast Medium, Gadolinium, Bagg Albino Mouse, Breast Neoplasms, Disease Model, Image Enhancement, Procedures, Inbred Balb C,

Affiliations:
*** IBB - CNR ***

Institute of Biostructure and Bioimaging (CNR) c/o Molecular Biotechnologies Center, Via Nizza 52, Torino, Italy
Molecular Imaging Center, University of Torino, Via Nizza 52, Torino, Italy
Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, Torino, Italy
Dept. of Computer Science, University College London, Gower Street, London, United Kingdom
Consiglio Nazionale delle Ricerche
Universita degli Studi di Torino


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Cluster analysis of quantitative parametric maps from DCE-MRI: Application in evaluating heterogeneity of tumor response to antiangiogenic treatment

Purpose: The objective of this study was to compare a clustering approach to conventional analysis methods for assessing changes in pharmacokinetic parameters obtained from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) during antiangiogenic treatment in a breast cancer model. Materials and methods: BALB/c mice bearing established transplantable her2+ tumors were treated with a DNA-based antiangiogenic vaccine or with an empty plasmid (untreated group). DCE-MRI was carried out by administering a dose of 0.05mmol/kg of Gadocoletic acid trisodium salt, a Gd-based blood pool contrast agent (CA) at 1T. Changes in pharmacokinetic estimates (Ktrans and vp) in a nine-day interval were compared between treated and untreated groups on a voxel-by-voxel analysis. The tumor response to therapy was assessed by a clustering approach and compared with conventional summary statistics, with sub-regions analysis and with histogram analysis. Results: Both the Ktrans and vp estimates, following blood-pool CA injection, showed marked and spatial heterogeneous changes with antiangiogenic treatment. Averaged values for the whole tumor region, as well as from the rim/core sub-regions analysis were unable to assess the antiangiogenic response. Histogram analysis resulted in significant changes only in the vp estimates (p<0.05). The proposed clustering approach depicted marked changes in both the Ktrans and vp estimates, with significant spatial heterogeneity in vp maps in response to treatment (p<0.05), provided that DCE-MRI data are properly clustered in three or four sub-regions. Conclusions: This study demonstrated the value of cluster analysis applied to pharmacokinetic DCE-MRI parametric maps for assessing tumor response to antiangiogenic therapy.
Cluster analysis of quantitative parametric maps from DCE-MRI: Application in evaluating heterogeneity of tumor response to antiangiogenic treatment

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Cluster analysis of quantitative parametric maps from DCE-MRI: Application in evaluating heterogeneity of tumor response to antiangiogenic treatment

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