ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2008
A method for assessing the microvasculature in a murine tumor model using contrast-enhanced ultrasonography.
Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Prospects of perfusion contrast-enhanced ultrasound (CE-US) in diagnosing axillary lymph node metastases in breast cancer: a comparison with lymphatic CE-US.Journal of medical ultrasonics (2001) · 2024Review
- Contrast-enhanced ultrasound for the evaluation of CXCR7-mediated angiogenesis in colon cancer.Journal of Cancer · 2023Article
- Selecting the optimal parameters for sonoporation of pancreatic cancer in a pre-clinical model.Cancer biology & therapy · 2021Article
- Magnetic Resonance Imaging for Translational Research in Oncology.Journal of clinical medicine · 2019Review
- Perfusion contrast-enhanced ultrasound to predict early lymph-node metastasis in breast cancer.Japanese journal of radiology · 2019Article
- High-frequency Ultrasound Imaging of Mouse Cervical Lymph Nodes.Journal of visualized experiments : JoVE · 2015Article
- Article
- Mouse model of lymph node metastasis via afferent lymphatic vessels for development of imaging modalities.PloS one · 2013Article
- Effects of ultrasound and ultrasound contrast agent on vascular tissue.Cardiovascular ultrasound · 2012Article
- The effect of inhaled gases on ultrasound contrast agent longevity in vivo.Molecular imaging and biology · 2012Article
- Molecular imaging of vasa vasorum neovascularization via DEspR-targeted contrast-enhanced ultrasound micro-imaging in transgenic atherosclerosis rat model.Molecular imaging and biology · 2011Article
- 3-D microvessel-mimicking ultrasound phantoms produced with a scanning motion system.Ultrasound in medicine & biology · 2011Article
- Using ultrasonography to define fetal-maternal relationships: moving from humans to mice.Comparative medicine · 2009Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe purpose of this study was to develop a method for assessing tumor vascularity in a preclinical model of breast cancer using contrast-enhanced ultrasonography.
methodsEight mice were injected with 67NR breast cancer cells on their hind limbs and imaged with ultrasonography 8 days later. Mice were injected with an ultrasound contrast agent (UCA), and a sequence of images of the resultant backscattered echoes was recorded before and after high-power "destruction" pulses for each of multiple parallel planes. From these, data maps of the maximum contrast enhancement (within each time course) were constructed for each pixel, which enabled reconstruction of high-resolution coregistered sections into a 3-dimensional (3D) volume reflecting tumor vascularity. Additional studies were performed to determine the duration and repeatability of image enhancement, and images were correlated with conventional 3D power Doppler measurements.
resultsThe lifetime of the UCA in vivo was found to be 4.3 +/- 1.09 minutes (mean +/- SD). The 3D contrast-enhanced ultrasonographic technique produced images that correlated well with power Doppler images in specific regions but also depicted additional regions of flow surrounding the power Doppler signal. The mean correlation coefficient between voxel measurements of the central slice for each animal was 0.64 +/- 0.07 (P < .01). In addition, sequential studies in each animal were reproducible.
conclusionsA method producing high-resolution volumetric assessments of tumor vascularity in a preclinical model of breast cancer is shown that correlates with other ultrasonographic measures of blood flow, which may provide greater sensitivity to the microvasculature.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.