The subtle relationship between vascular network structure and mass transport is vital to predict and improve the efficacy of anticancer treatments. Here, mathematical homogenisation is used to derive a new multiscale continuum model of blood and chemotherapy transport in the vasculature and interstitium of a vascular tumour. This framework enables information at a range of vascular hierarchies to be fed into an effective description on the length scale of the tumour. The model behaviour is explored through a demonstrative case study of a simplified representation of a dorsal skinfold chamber, to examine the role of vascular network architecture in influencing fluid and drug perfusion on the length scale of the chamber. A single parameter, P, is identified that relates tumour-scale fluid perfusion to the permeability and density of the capillary bed. By fixing the topological and physiological properties of the arteriole and venule networks, an optimal value for P is identified, which maximises tumour fluid transport and is thus hypothesised to benefit chemotherapy delivery. We calculate the values for P for eight explicit network structures; in each case, vascular intervention by either decreasing the permeability or increasing the density of the capillary network would increase fluid perfusion through the cancerous tissue. Chemotherapeutic strategies are compared and indicate that single injection is consistently more successful compared with constant perfusion, and the model predicts optimal timing of a second dose. These results highlight the potential of computational modelling to elucidate the link between vascular architecture and fluid, drug distribution in tumours.
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http://dx.doi.org/10.1002/cnm.3315 | DOI Listing |
J Med Case Rep
January 2025
Department of Internal Medicine, University of Illinois College of Medicine, Peoria, IL, 61637, USA.
Background: Nephrogenic diabetes insipidus is a rare, often underrecognized complication of long-term lithium therapy. Lithium-induced nephrogenic diabetes insipidus results from chronic renal exposure, leading to significant polyuria, dehydration, and hypernatremia.
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Department of Neurology, Liuzhou People's Hospital affiliated to Guangxi Medical University, No.8 Rd.wenchang Liuzhou, Liuzhou, 545000, Guangxi Province, China.
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View Article and Find Full Text PDFElectromagn Biol Med
January 2025
Department of Mathematics, University of Gour Banga, Malda, India.
Biomagnetic fluid dynamics (BFD) is an emerging and promising field within fluid mechanics, focusing on the dynamics of bio-fluids like blood in the presence of magnetic fields. This research is crucial in the medical arena for applications such as medication delivery, diagnostic and therapeutic procedures, prevention of excessive bleeding, and treatment of malignant tumors using magnetic particles. This study delves into the intricacies of blood flow induced by cilia, carrying trihybrid nanoparticles (gold, copper, and titania), within a catheterized arterial annulus under a robust magnetic field.
View Article and Find Full Text PDFForensic Sci Med Pathol
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Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Via S. Pansini, 5, Naples, 80131, Italy.
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View Article and Find Full Text PDFEnviron Monit Assess
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Department of Botany, Bacha Khan University, Charsadda, Charsadda, 24420, Khyber Pakhtunkhwa, Pakistan.
Wastewater is commonly contaminated with many pharmaceutical pollutants, so an efficient purification method is required for their removal from wastewater. In this regard, an innovative tertiary Se/SnO@CMC/Fe-GA nanocomposite was synthesized through encapsulation of metal organic frameworks (Fe-glutaric acid) onto Se/SnO-embedded-sodium carboxy methyl cellulose matrix to thoroughly evaluate its effectiveness for adsorption of levofloxacin drug from wastewater. The prepared Se/SnO@CMC/Fe-GA nanocomposite was analyzed via UV-Vis spectroscopy, Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), thermo gravimetric analysis (TGA), energy dispersive X-ray (EDX), and X-ray diffraction (XRD) to valuate optical property, size, morphology, thermal stability, and chemical composition.
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