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Virtual brain tumours (gliomas) enhance the reality of medical imaging and highlight inadequacies of current therapy.

Swanson KR, Alvord EC, Murray JD - Br. J. Cancer (2002)

Bottom Line: Gliomas are brain tumours that differ from most other cancers by their diffuse invasion of the surrounding normal tissue and their notorious recurrence following all forms of therapy.We have developed a mathematical model to quantify the spatio-temporal growth and invasion of gliomas in three dimensions throughout a virtual human brain.The model quantifies the extent of tumorous invasion of individual gliomas in three-dimensions to a degree beyond the limits of present medical imaging, including even microscopy, and makes clear why current therapies based on existing imaging techniques are inadequate and cannot be otherwise without other methods for detecting tumour cells in the brain.

View Article: PubMed Central - PubMed

Affiliation: Department of Applied Mathematics, Box 352420, University of Washington, Seattle, Washington WA 98195, USA. swanson@amath.washington.edu

ABSTRACT
Gliomas are brain tumours that differ from most other cancers by their diffuse invasion of the surrounding normal tissue and their notorious recurrence following all forms of therapy. We have developed a mathematical model to quantify the spatio-temporal growth and invasion of gliomas in three dimensions throughout a virtual human brain. The model quantifies the extent of tumorous invasion of individual gliomas in three-dimensions to a degree beyond the limits of present medical imaging, including even microscopy, and makes clear why current therapies based on existing imaging techniques are inadequate and cannot be otherwise without other methods for detecting tumour cells in the brain. The model's estimate of the extent of tumourous invasion beyond that defined by standard medical imaging can be useful in more accurately planning therapy regimes as well as predicting sites of potential recurrence without waiting for reemergence on follow-up imaging.

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Related in: MedlinePlus

Sections of the virtual human brain in sagittal, coronal and horizontal planes that intersect at the site of the glioma originating in the superior frontal region denoted by an asterisk (*). The left column of brain sections corresponds to the tumour at diagnosis whereas the right column represents the same tumour at death. Red denotes a high density of tumour cells while blue denotes a low density. A thick black contour defines the edge of the tumour detectable by enhanced CT. Cell migration was allowed to occur in a truly three-dimensional solid representation of the brain. The elapsed time between diagnosis and death for this virtual glioma is approximately 158 days.
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fig1: Sections of the virtual human brain in sagittal, coronal and horizontal planes that intersect at the site of the glioma originating in the superior frontal region denoted by an asterisk (*). The left column of brain sections corresponds to the tumour at diagnosis whereas the right column represents the same tumour at death. Red denotes a high density of tumour cells while blue denotes a low density. A thick black contour defines the edge of the tumour detectable by enhanced CT. Cell migration was allowed to occur in a truly three-dimensional solid representation of the brain. The elapsed time between diagnosis and death for this virtual glioma is approximately 158 days.

Mentions: Figure 1Figure 1


Virtual brain tumours (gliomas) enhance the reality of medical imaging and highlight inadequacies of current therapy.

Swanson KR, Alvord EC, Murray JD - Br. J. Cancer (2002)

Sections of the virtual human brain in sagittal, coronal and horizontal planes that intersect at the site of the glioma originating in the superior frontal region denoted by an asterisk (*). The left column of brain sections corresponds to the tumour at diagnosis whereas the right column represents the same tumour at death. Red denotes a high density of tumour cells while blue denotes a low density. A thick black contour defines the edge of the tumour detectable by enhanced CT. Cell migration was allowed to occur in a truly three-dimensional solid representation of the brain. The elapsed time between diagnosis and death for this virtual glioma is approximately 158 days.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2746525&req=5

fig1: Sections of the virtual human brain in sagittal, coronal and horizontal planes that intersect at the site of the glioma originating in the superior frontal region denoted by an asterisk (*). The left column of brain sections corresponds to the tumour at diagnosis whereas the right column represents the same tumour at death. Red denotes a high density of tumour cells while blue denotes a low density. A thick black contour defines the edge of the tumour detectable by enhanced CT. Cell migration was allowed to occur in a truly three-dimensional solid representation of the brain. The elapsed time between diagnosis and death for this virtual glioma is approximately 158 days.
Mentions: Figure 1Figure 1

Bottom Line: Gliomas are brain tumours that differ from most other cancers by their diffuse invasion of the surrounding normal tissue and their notorious recurrence following all forms of therapy.We have developed a mathematical model to quantify the spatio-temporal growth and invasion of gliomas in three dimensions throughout a virtual human brain.The model quantifies the extent of tumorous invasion of individual gliomas in three-dimensions to a degree beyond the limits of present medical imaging, including even microscopy, and makes clear why current therapies based on existing imaging techniques are inadequate and cannot be otherwise without other methods for detecting tumour cells in the brain.

View Article: PubMed Central - PubMed

Affiliation: Department of Applied Mathematics, Box 352420, University of Washington, Seattle, Washington WA 98195, USA. swanson@amath.washington.edu

ABSTRACT
Gliomas are brain tumours that differ from most other cancers by their diffuse invasion of the surrounding normal tissue and their notorious recurrence following all forms of therapy. We have developed a mathematical model to quantify the spatio-temporal growth and invasion of gliomas in three dimensions throughout a virtual human brain. The model quantifies the extent of tumorous invasion of individual gliomas in three-dimensions to a degree beyond the limits of present medical imaging, including even microscopy, and makes clear why current therapies based on existing imaging techniques are inadequate and cannot be otherwise without other methods for detecting tumour cells in the brain. The model's estimate of the extent of tumourous invasion beyond that defined by standard medical imaging can be useful in more accurately planning therapy regimes as well as predicting sites of potential recurrence without waiting for reemergence on follow-up imaging.

Show MeSH
Related in: MedlinePlus