ReviewAnnals of biomedical engineering2012
Multiscale imaging and computational modeling of blood flow in the tumor vasculature.
Review in Annals of biomedical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed.
- Computational Fluid Dynamics Simulations to Inform Cancer Therapeutics.Annual review of biomedical engineering · 2026Review
- AMBER: A Modular Model for Tumor Growth, Vasculature and Radiation Response.Bulletin of mathematical biology · 2024Article
- Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom.Journal of medical imaging (Bellingham, Wash.) · 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
- Vascular phenotyping of the invasive front in breast cancer using a 3D angiogenesis atlas.Microvascular research · 2023Article
- VascuViz: a multimodality and multiscale imaging and visualization pipeline for vascular systems biology.Nature methods · 2022Article
- SMoRe ParS: A novel methodology for bridging modeling modalities and experimental data applied to 3D vascular tumor growth.Frontiers in molecular biosciences · 2022Article
- Modified microvessel density based on perfusion distance: a preferable NSCLC prognostic factor.Annals of translational medicine · 2022Article
- Cross-Modality Imaging of Murine Tumor Vasculature-a Feasibility Study.Molecular imaging and biology · 2021Article
- Pilot Clinical Study Investigating the Thermal Physiology of Breast Cancer via High-Resolution Infrared Imaging.Bioengineering (Basel, Switzerland) · 2021Article
- Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.Cancers · 2021Review
- The influence of tumour vasculature on fluid flow in solid tumours: a mathematical modelling study.Biophysics reports · 2021Article
- Digitally Fabricated and Naturally Augmented In Vitro Tissues.Advanced healthcare materials · 2021Review
- Computational Simulation of Exosome Transport in Tumor Microenvironment.Frontiers in medicine · 2021Article
- Vessel-on-a-chip models for studying microvascular physiology, transport, and function in vitro.American journal of physiology. Cell physiology · 2021Review
- Abnormal morphology biases hematocrit distribution in tumor vasculature and contributes to heterogeneity in tissue oxygenation.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics.IEEE transactions on medical imaging · 2020Article
- Article
- Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks.Scientific reports · 2019Article
- Modelling the transport of fluid through heterogeneous, whole tumours in silico.PLoS computational biology · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The evolution in our understanding of tumor angiogenesis has been the result of pioneering imaging and computational modeling studies spanning the endothelial cell, microvasculature and tissue levels. Many of these primary data on the tumor vasculature are in the form of images from pre-clinical tumor models that provide a wealth of qualitative and quantitative information in many dimensions and across different spatial scales. However, until recently, the visualization of changes in the tumor vasculature across spatial scales remained a challenge due to a lack of techniques for integrating micro- and macroscopic imaging data. Furthermore, the paucity of three-dimensional (3-D) tumor vascular data in conjunction with the challenges in obtaining such data from patients presents a serious hurdle for the development and validation of predictive, multiscale computational models of tumor angiogenesis. In this review, we discuss the development of multiscale models of tumor angiogenesis, new imaging techniques capable of reproducing the 3-D tumor vascular architecture with high fidelity, and the emergence of "image-based models" of tumor blood flow and molecular transport. Collectively, these developments are helping us gain a fundamental understanding of the cellular and molecular regulation of tumor angiogenesis that will benefit the development of new cancer therapies. Eventually, we expect this exciting integration of multiscale imaging and mathematical modeling to have widespread application beyond the tumor vasculature to other diseases involving a pathological vasculature, such as stroke and spinal cord injury.
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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.