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Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo
Erik N Taylor1, Yao Ding2, Leon Lin1
1Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA.
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.
Insights
This study introduces a new in vivo MRI method to map tumor microstructure and cellular alignment. This technique reveals distinct organizational patterns in head and neck cancers, aiding in tumor biology assessment.
Area of Science:
- Biomedical Imaging
- Oncology
- Medical Physics
Background:
- Current tumor analysis relies on excised or biopsied tissues.
- Tumors exhibit complex heterogeneity, necessitating in vivo macroscopic investigation.
- Understanding tumor micro-structure is crucial for effective treatment strategies.
Purpose of the Study:
- To develop and validate a novel in vivo magnetic resonance imaging (MRI) methodology.
- To probe the micro-structural constituents and cellular organization of tumors.
- To assess macroscopic organizational features in head and neck cancers.
Main Methods:
- Utilized generalized Q-space MRI with varying magnetic field gradients.
- Measured voxel-scale probability distribution functions of proton diffusivity.
- Employed tractography to map multi-voxel cellular alignment in vivo.
Main Results:
- Successfully depicted macroscopic organizational features in head and neck tumors.
- Identified regional differences, distinguishing a coherent periphery from an incoherent core.
- Demonstrated the feasibility of in vivo micro-structural analysis of tumor tissue.
Conclusions:
- The novel MRI approach offers a non-invasive method for assessing tumor biology.
- This technique can potentially predict tumor response to therapies and interventions.
- Macroscopic tumor organization provides valuable insights beyond traditional molecular characterization.
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