Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo

Erik N. Taylor; Yao Ding; Leon Lin; George E. Aninwene; Matthew P. Hoffman; Clifton D. Fuller; Richard J. Gilbert

doi:10.1109/NEBEC.2015.7117057

Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo

Erik N. Taylor, Yao Ding, Leon Lin, George E. Aninwene, Matthew P. Hoffman, Clifton D. Fuller, Richard J. Gilbert

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Current approaches for studying tumor activity in patients involve molecular characterization in excised tissue or biopsied samples. Recognizing that tumors are composed of heterogeneous arrays of cells and their environment, there is a compelling rationale to explore the macroscopic organization of tumor tissue. We present a novel methodology for probing the micro-structural constituents of tumors in vivo utilizing generalized Q-space MRI. This approach employs varying magnetic field gradients and diffusion sensitivities to yield voxel-scale probability distribution functions of proton diffusivity, and then maps multi-voxel cellular alignment with tractography. Using this methodology, we describe the presence of macroscopic organizational features in patients with head and neck cancers, specifically depicting regional differences between the geometrically coherent periphery and incoherent core region. Such methods may comprise a method for assessing attributes of tumor biology in vivo and for predicting the response of such tumors to various drugs and interventions.

Original language	English (US)
Title of host publication	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479983605
DOIs	https://doi.org/10.1109/NEBEC.2015.7117057
State	Published - Jun 2 2015
Event	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 - Troy, United States Duration: Apr 17 2015 → Apr 19 2015

Publication series

Name	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

Other

Other	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
Country/Territory	United States
City	Troy
Period	4/17/15 → 4/19/15

Keywords

Q-space imaging
Tumor organization
biological connectivity
diffusion-weighted magnetic resonance imaging

ASJC Scopus subject areas

Biotechnology
Cancer Research
Cell Biology
Molecular Medicine
Biomedical Engineering
Control and Systems Engineering

Access to Document

10.1109/NEBEC.2015.7117057

Cite this

Taylor, E. N., Ding, Y., Lin, L., Aninwene, G. E., Hoffman, M. P., Fuller, C. D., & Gilbert, R. J. (2015). Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo. In 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 Article 7117057 (2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEBEC.2015.7117057

Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo. / Taylor, Erik N.; Ding, Yao; Lin, Leon et al.
2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7117057 (2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Taylor, EN, Ding, Y, Lin, L, Aninwene, GE, Hoffman, MP, Fuller, CD & Gilbert, RJ 2015, Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo. in 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015., 7117057, 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015, Institute of Electrical and Electronics Engineers Inc., 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015, Troy, United States, 4/17/15. https://doi.org/10.1109/NEBEC.2015.7117057

Taylor EN, Ding Y, Lin L, Aninwene GE, Hoffman MP, Fuller CD et al. Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo. In 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7117057. (2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015). doi: 10.1109/NEBEC.2015.7117057

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title = "Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo",

abstract = "Current approaches for studying tumor activity in patients involve molecular characterization in excised tissue or biopsied samples. Recognizing that tumors are composed of heterogeneous arrays of cells and their environment, there is a compelling rationale to explore the macroscopic organization of tumor tissue. We present a novel methodology for probing the micro-structural constituents of tumors in vivo utilizing generalized Q-space MRI. This approach employs varying magnetic field gradients and diffusion sensitivities to yield voxel-scale probability distribution functions of proton diffusivity, and then maps multi-voxel cellular alignment with tractography. Using this methodology, we describe the presence of macroscopic organizational features in patients with head and neck cancers, specifically depicting regional differences between the geometrically coherent periphery and incoherent core region. Such methods may comprise a method for assessing attributes of tumor biology in vivo and for predicting the response of such tumors to various drugs and interventions.",

keywords = "Q-space imaging, Tumor organization, biological connectivity, diffusion-weighted magnetic resonance imaging",

author = "Taylor, {Erik N.} and Yao Ding and Leon Lin and Aninwene, {George E.} and Hoffman, {Matthew P.} and Fuller, {Clifton D.} and Gilbert, {Richard J.}",

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doi = "10.1109/NEBEC.2015.7117057",

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AU - Taylor, Erik N.

AU - Ding, Yao

AU - Lin, Leon

AU - Aninwene, George E.

AU - Hoffman, Matthew P.

AU - Fuller, Clifton D.

AU - Gilbert, Richard J.

PY - 2015/6/2

Y1 - 2015/6/2

N2 - Current approaches for studying tumor activity in patients involve molecular characterization in excised tissue or biopsied samples. Recognizing that tumors are composed of heterogeneous arrays of cells and their environment, there is a compelling rationale to explore the macroscopic organization of tumor tissue. We present a novel methodology for probing the micro-structural constituents of tumors in vivo utilizing generalized Q-space MRI. This approach employs varying magnetic field gradients and diffusion sensitivities to yield voxel-scale probability distribution functions of proton diffusivity, and then maps multi-voxel cellular alignment with tractography. Using this methodology, we describe the presence of macroscopic organizational features in patients with head and neck cancers, specifically depicting regional differences between the geometrically coherent periphery and incoherent core region. Such methods may comprise a method for assessing attributes of tumor biology in vivo and for predicting the response of such tumors to various drugs and interventions.

AB - Current approaches for studying tumor activity in patients involve molecular characterization in excised tissue or biopsied samples. Recognizing that tumors are composed of heterogeneous arrays of cells and their environment, there is a compelling rationale to explore the macroscopic organization of tumor tissue. We present a novel methodology for probing the micro-structural constituents of tumors in vivo utilizing generalized Q-space MRI. This approach employs varying magnetic field gradients and diffusion sensitivities to yield voxel-scale probability distribution functions of proton diffusivity, and then maps multi-voxel cellular alignment with tractography. Using this methodology, we describe the presence of macroscopic organizational features in patients with head and neck cancers, specifically depicting regional differences between the geometrically coherent periphery and incoherent core region. Such methods may comprise a method for assessing attributes of tumor biology in vivo and for predicting the response of such tumors to various drugs and interventions.

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KW - Tumor organization

KW - biological connectivity

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo

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Keywords

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