Trial reportUltrasound in medicine & biology2015
Ultrasound imaging of breast tumor perfusion and neovascular morphology.
Trial report in Ultrasound in medicine & biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
42 citing papers in PubMed.
- Assessment of Early Breast Cancer Response to Chemotherapy with Ultrasound Radiomics.Diagnostics (Basel, Switzerland) · 2026Article
- Classification of breast cancer molecular subtypes based on contrast-enhanced ultrasound and superb microvascular imaging using machine learning approach.Gland surgery · 2025Article
- The Role of Herb-Partitioned Moxibustion in the Angiogenesis of Colitis-Associated Cancer in Rats.Journal of inflammation research · 2025Article
- Critical Advances for Democratizing Ultrasound Diagnostics in Human and Veterinary Medicine.Annual review of biomedical engineering · 2024Review
- Super-Resolution Ultrasound Imaging for Monitoring the Therapeutic Efficacy of a Vascular Disrupting Agent in an Animal Model of Breast Cancer.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2024Article
- The effect of tumor vascular remodeling and immune microenvironment activation induced by radiotherapy: quantitative evaluation with magnetic resonance/photoacoustic dual-modality imaging.Quantitative imaging in medicine and surgery · 2023Article
- Imaging in inflammatory arthritis: progress towards precision medicine.Nature reviews. Rheumatology · 2023Review
- Endothelial ERα promotes glucose tolerance by enhancing endothelial insulin transport to skeletal muscle.Nature communications · 2023Article
- Assessment of Transarterial Chemoembolization Using Super-resolution Ultrasound Imaging and a Rat Model of Hepatocellular Carcinoma.Ultrasound in medicine & biology · 2023Article
- Generalized mathematical framework for contrast-enhanced ultrasound imaging with pulse inversion spectral deconvolution.Ultrasonics · 2023Article
- 3D Harmonic and Subharmonic Imaging for Characterizing Breast Lesions: A Multi-Center Clinical Trial.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022Article
- Multiscale computational modeling of cancer growth using features derived from microCT images.Scientific reports · 2021Article
- 3-D Super-Resolution Ultrasound Imaging for Monitoring Early Changes in Breast Cancer after Treatment with a Vascular-Disrupting Agent.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2021Article
- Three-dimensional visualization and improved quantification with super-resolution ultrasound imaging - validation framework for analysis of microvascular morphology using a chicken embryo model.Physics in medicine and biology · 2021Article
- Bibliometric Analysis of Global Research Trends on Ultrasound Microbubble: A Quickly Developing Field.Frontiers in pharmacology · 2021Article
- Three-dimensional evaluation of microvascular networks using contrast-enhanced ultrasound and microbubble tracking.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020Article
- Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020Article
- Tumor Vascular Networks Depicted in Contrast-Enhanced Ultrasound Images as a Predictor for Transarterial Chemoembolization Treatment Response.Ultrasound in medicine & biology · 2020Article
- Three-dimensional super-resolution ultrasound imaging of chicken embryos - A validation framework for analysis of microvascular morphology.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020Article
- Faster motion correction of clinical contrast-enhanced ultrasound imaging using deep learning.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
A novel image processing strategy is detailed for simultaneous measurement of tumor perfusion and neovascular morphology parameters from a sequence of dynamic contrast-enhanced ultrasound (DCE-US) images. After normalization and tumor segmentation, a global time-intensity curve describing contrast agent flow was analyzed to derive surrogate measures of tumor perfusion (i.e., peak intensity, time-to-peak intensity, area under the curve, wash-in rate, wash-out rate). A maximum intensity image was generated from these same segmented image sequences, and each vascular component was skeletonized via a thinning algorithm. This skeletonized data set and collection of vessel segments were then investigated to extract parameters related to the neovascular network and physical architecture (i.e., vessel-to-tissue ratio, number of bifurcations, vessel count, average vessel length and tortuosity). An efficient computation of local perfusion parameters was also introduced and operated by averaging time-intensity curve data over each individual neovascular segment. Each skeletonized neovascular segment was then color-coded by these local measures to produce a parametric map detailing spatial properties of tumor perfusion. Longitudinal DCE-US image data sets were collected in six patients diagnosed with invasive breast cancer using a Philips iU22 ultrasound system equipped with a L9-3 transducer and Definity contrast agent. Patients were imaged using US before and after contrast agent dosing at baseline and again at weeks 6, 12, 18 and 24 after treatment started. Preliminary clinical results suggested that breast tumor response to neoadjuvant chemotherapy may be associated with temporal and spatial changes in DCE-US-derived parametric measures of tumor perfusion. Moreover, changes in neovascular morphology parametric measures may also help identify any breast tumor response (or lack thereof) to systemic treatment. Breast cancer management from early detection to therapeutic monitoring is currently undergoing profound changes. Novel imaging techniques that are sensitive to the unique biological conditions of each individual tumor represent valuable tools in the pursuit of personalized medicine.
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Registered trials
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.