ArticlePhysics in medicine and biology2019
Ultrasound multiple scattering with microbubbles can differentiate between tumor and healthy tissue in vivo.
Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Article
- Acoustic Angiography: Superharmonic Contrast-Enhanced Ultrasound Imaging for Noninvasive Visualization of Microvasculature.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Imaging methods to evaluate tumor microenvironment factors affecting nanoparticle drug delivery and antitumor response.Cancer drug resistance (Alhambra, Calif.) · 2021Article
- Visualization of Microvascular Angiogenesis Using Dual-Frequency Contrast-Enhanced Acoustic Angiography: A Review.Ultrasound in medicine & biology · 2020Review
- Critical remarks to 'Pediatric lung ultrasound - pros and potentials'.Pediatric radiology · 2020Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Most solid tumors are characterized by highly dense, isotropic vessel networks. Characterization of such features has shown promise for early cancer diagnosis. Ultrasound diffusion has been used to characterize the micro-architecture of complex media, such as bone and the lungs. In this work, we examine a non-invasive diffusion-based ultrasound technique to assess neo-vascularization. Because the diffusion constant reflects the density of scatterers in heterogeneous media, we hypothesize that by injecting microbubbles into the vasculature, ultrasound diffusivity can reflect vascular density (VD), thus differentiating the microvascular patterns between tumors and healthy tissue. The diffusion constant and its anisotropy are shown to be significantly different between fibrosarcoma tumors (n = 16) and control tissue (n = 18) in a rat animal model in vivo. The diffusion constant values for control and tumor were found to be 1.38 ± 0.51 mm
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