ReviewCancers2021
Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.
Abstract readReview
In one paragraph
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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
30 citing papers in PubMed.
- High-temporal resolution DCE-MRI improves assessment of intra- and peri-breast lesions categorized as BI-RADS 4.BMC medical imaging · 2023Trial
- In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives.NPJ systems biology and applications · 2026Review
- Topological model selection: a case-study in tumour-induced angiogenesis.Bioinformatics (Oxford, England) · 2026Article
- An accurate analytical modeling method for microwave-based breast tumor detection and phantom manufacturing.Biomedical engineering letters · 2026Article
- Employing nullclines to balance treatment efficacy and neurotoxicity for sustained tumor control.Mathematical biosciences · 2025Article
- Analytical and numerical properties of an extended angiogenesis PDEs model.Journal of mathematical biology · 2025Article
- Article
- Mathematical modeling in radiotherapy for cancer: a comprehensive narrative review.Radiation oncology (London, England) · 2025Review
- Validating the predictions of mathematical models describing tumor growth and treatment response.ArXiv · 2025Article
- Integrating computational fluid dynamics into organ-on-chip systems: a glioblastoma-centred design and validation framework.Frontiers in bioengineering and biotechnology · 2025Review
- A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin.Cancer biology & therapy · 2024Article
- In Silico Approach to Model Heat Distribution of Magnetic Hyperthermia in the Tumoral and Healthy Vascular Network Using Tumor-on-a-Chip to Evaluate Effective Therapy.Pharmaceutics · 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
- A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model.Cancer research communications · 2024Article
- Enhanced perfusion following exposure to radiotherapy: A theoretical investigation.PLoS computational biology · 2024Article
- Mathematical model of oxygen, nutrient, and drug transport in tuberculosis granulomas.PLoS computational biology · 2024Article
- Designing clinical trials for patients who are not average.iScience · 2024Review
- A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data.Engineering with computers · 2024Article
- Computational Multi-Scale Modeling of Drug Delivery into an Anti-Angiogenic Therapy-Treated Tumor.Cancers · 2023Article
- Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting.Journal of computational science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
David A HormuthOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Caleb M PhillipsOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Chengyue WuOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-3789-404X
Ernesto A B F LimaOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-9219-8784
Guillermo LorenzoOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-9090-190X
Prashant K JhaOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Angela M JarrettDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-6346-9557
J Tinsley OdenOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Thomas E YankeelovOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Funding
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCERU24CA226110 · NCI · BAYLOR COLLEGE OF MEDICINE · PI LEWIS, MICHAEL T., RUBIN, DANIEL L · 2019 to 2023
$3.2MClinical Development of Rhenium Nanoliposomes (RNL186) for GlioblastomaR01CA235800 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BRENNER, ANDREW JACOB · 2019 to 2023
$3.0MImage Driven Multi-Scale Modeling to Predict Treatment Response in Breast CancerU01CA174706 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, YANKEELOV, THOMAS E · 2013 to 2018
$2.5MCancer Prevention and Research Institute of Texas RR160005European Union Horizon 2020: Marie Skłodowska-Curie grant 838786NCI NIH HHS R01CA235800NCI NIH HHS U01CA174706NCI NIH HHS U24CA226110
Abstract
Tumor-associated vasculature is responsible for the delivery of nutrients, removal of waste, and allowing growth beyond 2-3 mm
Indexed as
computational fluid dynamicscomputational oncologyconfocal microscopymagnetic resonance imagingpartial differential equationsperfusionsystems biologytreatment responsevascular growth
Identifiers
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LicenceCC BY
Read underepoch 390
Registered trials
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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.