Abstract:
:The aim of this study was to compare intratumoural heterogeneity and longitudinal changes assessed by dynamic contrast-enhanced ultrasound (DCE-US) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in prostate tumour xenografts. In vivo DCE-US and DCE-MRI were obtained 24 h pre- (day 0) and post- (day 2) radiation treatment with a single dose of 7.5 Gy. Characterization of the tumour vasculature was determined by Brix pharmacokinetic analysis of the time-intensity curves. Histogram analysis of voxels showed significant changes (p < 0.001) from day 0 to day 2 in both modalities for kep , the exchange rate constant from the extracellular extravascular space to the plasma, and kel , the elimination rate constant of the contrast. In addition, kep and kel values from DCE-US were significantly higher than those derived from DCE-MRI at day 0 (p < 0.0001) for both groups. At day 2, kel followed the same tendency for both groups, whereas kep showed this tendency only for the treated group in intermediate-enhancement regions. Regarding kep median values, longitudinal changes were not found for any modality. However, at day 2, kep linked to DCE-US was correlated to MVD in high-enhancement areas for the treated group (p = 0.05). In contrast, correlation to necrosis was detected for the control group in intermediate-enhancement areas (p < 0.1). Intratumoural heterogeneity and longitudinal changes in tumour vasculature were assessed for both modalities. Microvascular parameters derived from DCE-US seem to provide reliable biomarkers during radiotherapy as validated by histology. Furthermore, DCE-US could be a stand-alone or a complementary technique.
journal_name
Contrast Media Mol Imagingjournal_title
Contrast media & molecular imagingauthors
Arteaga-Marrero N,Rygh CB,Mainou-Gomez JF,Nylund K,Roehrich D,Heggdal J,Matulaniec P,Gilja OH,Reed RK,Svensson L,Lutay N,Olsen DRdoi
10.1002/cmmi.1645subject
Has Abstractpub_date
2015-11-01 00:00:00pages
428-37issue
6eissn
1555-4309issn
1555-4317journal_volume
10pub_type
杂志文章abstract::Recent advances in artificial intelligence (AI) and deep learning (DL) have impacted many scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well-established method in breast imaging with several indications including screening, staging, and therapy monitoring. The rapid development a...
journal_title:Contrast media & molecular imaging
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journal_title:Contrast media & molecular imaging
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journal_title:Contrast media & molecular imaging
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journal_title:Contrast media & molecular imaging
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journal_title:Contrast media & molecular imaging
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journal_title:Contrast media & molecular imaging
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journal_title:Contrast media & molecular imaging
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journal_title:Contrast media & molecular imaging
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