Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers <italic>In Vivo</italic>
Interstitial fluid pressure, interstitial fluid velocity and related parameters are of great clinical significance for cancer diagnosis, prognosis and treatment. A limited number of non-invasive techniques can be used to estimate these mechanopathological parameters in cancers <italic>in vivo&...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9455386/ |
| _version_ | 1818439822622064640 |
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| author | Md Tauhidul Islam Songyuan Tang Ennio Tasciotti Raffaella Righetti |
| author_facet | Md Tauhidul Islam Songyuan Tang Ennio Tasciotti Raffaella Righetti |
| author_sort | Md Tauhidul Islam |
| collection | DOAJ |
| description | Interstitial fluid pressure, interstitial fluid velocity and related parameters are of great clinical significance for cancer diagnosis, prognosis and treatment. A limited number of non-invasive techniques can be used to estimate these mechanopathological parameters in cancers <italic>in vivo</italic>. In this study, we designed and tested new ultrasound poroelastography methods capable of estimating the magnitude and spatial distribution of fluid pressure, fluid velocity and fluid flow inside tumors under external compression. We theoretically proved that fluid pressure, velocity and flow estimated using poroelastography from a tumor under creep compression are directly related to the underlying interstitial fluid pressure, interstitial fluid velocity and fluid flow, respectively, differing only in peak values. Furthermore, by knowledge of the spatial distribution of the fluid pressure estimated using poroelastography, it is possible to derive: the parameter <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>, which quantifies the spatial distribution of the interstitial fluid pressure, the vascular permeability to interstitial permeability ratio and the peak interstitial fluid pressure to effective vascular pressure ratio in the tumor. Our techniques were validated using finite element and ultrasound simulations for a variety of simulated phantoms. Excellent qualitative agreement was found between the fluid pressure and velocity obtained using the finite element models and the corresponding fluid pressure and fluid velocity obtained using the proposed models. The estimated parameter <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula> was found to differ from the corresponding theoretical value by less than 10%. Experiments on a human breast cancer animal model were used as proof-of-principle of the feasibility of the proposed methods <italic>in vivo</italic>. |
| first_indexed | 2024-12-14T18:02:34Z |
| format | Article |
| id | doaj.art-8a34cfebc5c745aa9c541613034577bb |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T18:02:34Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8a34cfebc5c745aa9c541613034577bb2022-12-21T22:52:26ZengIEEEIEEE Access2169-35362021-01-019892228923310.1109/ACCESS.2021.30894549455386Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers <italic>In Vivo</italic>Md Tauhidul Islam0https://orcid.org/0000-0001-6259-632XSongyuan Tang1https://orcid.org/0000-0002-2324-1726Ennio Tasciotti2https://orcid.org/0000-0003-1187-3205Raffaella Righetti3https://orcid.org/0000-0001-9416-0301Department of Radiation Oncology, Stanford University, Stanford, CA, USADepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USACenter of Biomimetic Medicine, Houston Methodist Research Institute, Houston, TX, USADepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USAInterstitial fluid pressure, interstitial fluid velocity and related parameters are of great clinical significance for cancer diagnosis, prognosis and treatment. A limited number of non-invasive techniques can be used to estimate these mechanopathological parameters in cancers <italic>in vivo</italic>. In this study, we designed and tested new ultrasound poroelastography methods capable of estimating the magnitude and spatial distribution of fluid pressure, fluid velocity and fluid flow inside tumors under external compression. We theoretically proved that fluid pressure, velocity and flow estimated using poroelastography from a tumor under creep compression are directly related to the underlying interstitial fluid pressure, interstitial fluid velocity and fluid flow, respectively, differing only in peak values. Furthermore, by knowledge of the spatial distribution of the fluid pressure estimated using poroelastography, it is possible to derive: the parameter <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>, which quantifies the spatial distribution of the interstitial fluid pressure, the vascular permeability to interstitial permeability ratio and the peak interstitial fluid pressure to effective vascular pressure ratio in the tumor. Our techniques were validated using finite element and ultrasound simulations for a variety of simulated phantoms. Excellent qualitative agreement was found between the fluid pressure and velocity obtained using the finite element models and the corresponding fluid pressure and fluid velocity obtained using the proposed models. The estimated parameter <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula> was found to differ from the corresponding theoretical value by less than 10%. Experiments on a human breast cancer animal model were used as proof-of-principle of the feasibility of the proposed methods <italic>in vivo</italic>.https://ieeexplore.ieee.org/document/9455386/Cancer imagingelastographyfluid velocityinterstitial fluid pressuretumor mechanopathologytumor microenvironment |
| spellingShingle | Md Tauhidul Islam Songyuan Tang Ennio Tasciotti Raffaella Righetti Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers <italic>In Vivo</italic> IEEE Access Cancer imaging elastography fluid velocity interstitial fluid pressure tumor mechanopathology tumor microenvironment |
| title | Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers <italic>In Vivo</italic> |
| title_full | Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers <italic>In Vivo</italic> |
| title_fullStr | Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers <italic>In Vivo</italic> |
| title_full_unstemmed | Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers <italic>In Vivo</italic> |
| title_short | Non-Invasive Assessment of the Spatial and Temporal Distributions of Interstitial Fluid Pressure, Fluid Velocity and Fluid Flow in Cancers <italic>In Vivo</italic> |
| title_sort | non invasive assessment of the spatial and temporal distributions of interstitial fluid pressure fluid velocity and fluid flow in cancers italic in vivo italic |
| topic | Cancer imaging elastography fluid velocity interstitial fluid pressure tumor mechanopathology tumor microenvironment |
| url | https://ieeexplore.ieee.org/document/9455386/ |
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