Computer Simulations of the Tumor Vasculature: Applications to Interstitial Fluid Flow, Drug Delivery, and Oxygen Supply

Welter, Michael; Rieger, Heiko

doi:10.1007/978-3-319-42023-3_3

Cited by 14 publications

(15 citation statements)

References 158 publications

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“…In our study, the human hypoxia status was effectively improved by inhaling oxygen continuously. This method may successfully increase the oxygen supply to the tumor and its surrounding microenvironment 24 , 25 . The SpO2 decline of most volunteers during rest may be explained by the changes in blood SpO2 that could delay the actual physiological level of the normal tissues because of the oxygen and carbon dioxide diffusion times.…”

Section: Discussionmentioning

confidence: 99%

Study of an Oxygen Supply and Oxygen Saturation Monitoring System for Radiation Therapy Associated with the Active Breathing Coordinator

Gong

Guo

Sun

et al. 2018

Sci Rep

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In this study, we designed an oxygen supply and oxygen saturation monitoring (OSOSM) system. This OSOSM system can provide a continuous supply of oxygen and monitor the peripheral capillary oxygen saturation (SpO2) of patients who accept radiotherapy and use an active breathing coordinator (ABC). A clinical test with 27 volunteers was conducted. The volunteers were divided into two groups based on the tendency of SpO2 decline in breath-holding without the OSOSM system: group A (12 cases) showed a decline in SpO2 of less than 2%, whereas the decline in SpO2 in group B (15 cases) was greater than 2% and reached up to 6% in some cases. The SpO2 of most volunteers declined during rest. The breath-holding time of group A without the OSOSM system was significantly longer than that of group B (p < 0.05) and was extended with the OSOSM system by 26.6% and 27.85% in groups A and B, respectively. The SpO2 recovery time was reduced by 36.1%, and the total rest time was reduced by 27.6% for all volunteers using the OSOSM system. In summary, SpO2 declines during breath-holding and rest time cannot be ignored while applying an ABC. This OSOSM system offers a simple and effective way to monitor SpO2 variation and overcome SpO2 decline, thereby lengthening breathholding time and shortening rest time.Breathing motion is a critical factor that affects the accuracy of radiotherapy for thoracic and abdominal cancers; it can induce errors in tumor localization, treatment planning design, patient setup and dose delivery 1 . These errors can result in uncertain doses of radiation to the target tumor volume and organs at risk (OARs), which increases the risks of treatment failure and of radiation injury to OARs. Thus, it is important to solve problems involving breathing motion in the context of thoracoabdominal tumor radiation therapy. Breathing motion management methodologies (e.g., active breathing control, breath gating, and abdominal compression) have played important roles in decreasing the motion effect on radiotherapy precision 2 . Active breathing coordinator TM (ABC; Elekta Oncology, Crawley, UK) is an active breathing control technology that helps patients achieve and maintain their breath-holding status for up to 30 s or even longer through a special pipe. Theoretically, the ABC can eliminate the errors affecting tumor target volume position and the dose delivery induced by the breathing motion, and it has been applied at our radiation oncology clinic for more than 18 years since it was first reported by Wong et al. in 1999 3 . Furthermore, encouraging dosimetric benefits have been obtained via the precise radiation therapy of non-small cell lung cancer (NSCLC), breast cancer, lymphoma and liver cancer [4][5][6][7][8] . Our preliminary work proposed a method that combined volumetric modulated radiation therapy with active breathing control during moderate deep-inspiration breath-holding. We demonstrated that the mean

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Section: Discussionmentioning

confidence: 99%

Study of an Oxygen Supply and Oxygen Saturation Monitoring System for Radiation Therapy Associated with the Active Breathing Coordinator

Gong

Guo

Sun

et al. 2018

Sci Rep

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“…However, in the current model, only the emergence of new vessels is considered in but no vessel remodeling, eg, through blood vessel regression, collapse, or dilation . In fully resolving vasculature models, these phenomena are usually taken into account quite naturally through suitable constitutive equations for the blood vessel radius . In our homogenized treatment of the NV, vascular remodeling could also be incorporated as an additional effect in Equation , for instance, via a right‐hand side term, which induces a decrease in vessel volume fraction based on the pressure exerted by the tumor on the NV.…”

Section: Incorporation Of the Embedded 1d Fluid Network Into The Vascmentioning

confidence: 99%

An approach for vascular tumor growth based on a hybrid embedded/homogenized treatment of the vasculature within a multiphase porous medium model

Kremheller

Vuong

Schrefler

et al. 2019

Numer Methods Biomed Eng

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The aim of this work is to develop a novel computational approach to facilitate the modeling of angiogenesis during tumor growth. The preexisting vasculature is modeled as a 1D inclusion and embedded into the 3D tissue through a suitable coupling method, which allows for nonmatching meshes in 1D and 3D domain. The neovasculature, which is formed during angiogenesis, is represented in a homogenized way as a phase in our multiphase porous medium system. This splitting of models is motivated by the highly complex morphology, physiology, and flow patterns in the neovasculature, which are challenging and computationally expensive to resolve with a discrete, 1D angiogenesis and blood flow model. Moreover, it is questionable if a discrete representation generates any useful additional insight. By contrast, our model may be classified as a hybrid vascular multiphase tumor growth model in the sense that a discrete, 1D representation of the preexisting vasculature is coupled with a continuum model describing angiogenesis. It is based on an originally avascular model which has been derived via the thermodynamically constrained averaging theory. The new model enables us to study mass transport from the preexisting vasculature into the neovasculature and tumor tissue. We show by means of several illustrative examples that it is indeed capable of reproducing important aspects of vascular tumor growth phenomenologically.

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“…(e) A hybrid CA model of tumour-induced angiogenesis and growth within a digitized vasculature, from [86]. (f ) Heterogeneous CA vascular network, from [87]. (g) Distribution of a blood-borne drug simulated with the hybrid model of discrete vasculature, continuous tumour mass and drug kinetics, from [88].…”

Section: Mathematical Models Of Anti-cancer Therapiesmentioning

confidence: 99%

Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues

Karolak

Markov

McCawley

et al. 2018

J. R. Soc. Interface.

114

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A main goal of mathematical and computational oncology is to develop quantitative tools to determine the most effective therapies for each individual patient. This involves predicting the right drug to be administered at the right time and at the right dose. Such an approach is known as precision medicine. Mathematical modelling can play an invaluable role in the development of such therapeutic strategies, since it allows for relatively fast, efficient and inexpensive simulations of a large number of treatment schedules in order to find the most effective. This review is a survey of mathematical models that explicitly take into account the spatial architecture of three-dimensional tumours and address tumour development, progression and response to treatments. In particular, we discuss models of epithelial acini, multicellular spheroids, normal and tumour spheroids and organoids, and multicomponent tissues. Our intent is to showcase how these in silico models can be applied to patient-specific data to assess which therapeutic strategies will be the most efficient. We also present the concept of virtual clinical trials that integrate standard-of-care patient data, medical imaging, organ-on-chip experiments and computational models to determine personalized medical treatment strategies.

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Computer Simulations of the Tumor Vasculature: Applications to Interstitial Fluid Flow, Drug Delivery, and Oxygen Supply

Cited by 14 publications

References 158 publications

Study of an Oxygen Supply and Oxygen Saturation Monitoring System for Radiation Therapy Associated with the Active Breathing Coordinator

Study of an Oxygen Supply and Oxygen Saturation Monitoring System for Radiation Therapy Associated with the Active Breathing Coordinator

An approach for vascular tumor growth based on a hybrid embedded/homogenized treatment of the vasculature within a multiphase porous medium model

Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues

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