ArticleScientific reports2022
A spatiotemporal multi-scale computational model for FDG PET imaging at different stages of tumor growth and angiogenesis.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed, 36 citations in OpenAlex.
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- Radiopharmaceutical transport in solid tumors via a 3-dimensional image-based spatiotemporal model.NPJ systems biology and applications · 2024Article
- Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies.Theranostics · 2024Review
- Development of an ultrasound-mediated nano-sized drug-delivery system for cancer treatment: from theory to experiment.Nanomedicine (London, England) · 2024Article
- Localized radiotherapy of solid tumors using radiopharmaceutical loaded implantable system: insights from a mathematical model.Frontiers in oncology · 2024Article
- Stimuli-sensitive nano-drug delivery with programmable size changes to enhance accumulation of therapeutic agents in tumors.Drug delivery · 2023Article
- Approaches to vascular network, blood flow, and metabolite distribution modeling in brain tissue.Biophysical reviews · 2023Review
- Mitochondrial UQCC3 controls embryonic and tumor angiogenesis by regulating VEGF expression.iScience · 2023Article
- Development and CT image-domain validation of a computational lung lesion model for use in virtual imaging trials.Medical physics · 2023Article
- Machine Learning of Multi-Modal Tumor Imaging Reveals Trajectories of Response to Precision Treatment.Cancers · 2023Article
- Angiogenic Microvascular Wall Shear Stress Patterns Revealed Through Three-dimensional Red Blood Cell Resolved Modeling.Function (Oxford, England) · 2023Article
- Clinical significance ofEuropean journal of medical research · 2022Article
- Application of Mathematical Modeling and Computational Tools in the Modern Drug Design and Development Process.Molecules (Basel, Switzerland) · 2022Review
- Synthetic 18F-FDG PET Image Generation Using a Combination of Biomathematical Modeling and Machine Learning.Cancers · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A deeper understanding of the tumor microenvironment (TME) and its role in metabolic activity at different stages of vascularized tumors can provide useful insights into cancer progression and better support clinical assessments. In this study, a robust and comprehensive multi-scale computational model for spatiotemporal transport of F-18 fluorodeoxyglucose (FDG) is developed to incorporate important aspects of the TME, spanning subcellular-, cellular-, and tissue-level scales. Our mathematical model includes biophysiological details, such as radiopharmaceutical transport within interstitial space via convection and diffusion mechanisms, radiopharmaceutical exchange between intracellular and extracellular matrices by glucose transporters, cellular uptake of radiopharmaceutical, as well as its intracellular phosphorylation by the enzyme. Further, to examine the effects of tumor size by varying microvascular densities (MVDs) on FDG dynamics, four different capillary networks are generated by angiogenesis modeling. Results demonstrate that as tumor grows, its MVD increases, and hence, the spatiotemporal distribution of total FDG uptake by tumor tissue changes towards a more homogenous distribution. In addition, spatiotemporal distributions in tumor with lower MVD have relatively smaller magnitudes, due to the lower diffusion rate of FDG as well as lower local intravenous FDG release. Since mean standardized uptake value (SUV
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