Diffusion MRI: A New Strategy for Assessment of Cancer Therapeutic Efficacy
The use of anatomical imaging in clinical oncology practice traditionally relies on comparison of patient scans acquired before and following completion of therapeutic intervention. Therapeutic success is typically determined from inspection of gross anatomical images to assess changes in tumor size...
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2002-10-01
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Series: | Molecular Imaging |
Online Access: | https://doi.org/10.1162/15353500200221482 |
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doaj-32ba8551afb14db1bfbfe90ffe94a82a2021-04-02T15:35:31ZengHindawi - SAGE PublishingMolecular Imaging1536-01212002-10-01110.1162/1535350020022148210.1162_15353500200221482Diffusion MRI: A New Strategy for Assessment of Cancer Therapeutic EfficacyThomas L. Chenevert0Charles R. Meyer1Bradford A. Moffat2Alnawaz Rehemtulla3Suresh K. Mukherji4Stephen S. Gebarski5Douglas J. Quint6Patricia L. Robertson7Theodore S. Lawrence8Larry Junck9Jeremy M. G. Taylor10Timothy D. Johnson11Qian Dong12Karin M. Muraszko13James A. Brunberg14Brian D. Ross15University of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of MichiganUniversity of CaliforniaUniversity of MichiganThe use of anatomical imaging in clinical oncology practice traditionally relies on comparison of patient scans acquired before and following completion of therapeutic intervention. Therapeutic success is typically determined from inspection of gross anatomical images to assess changes in tumor size. Imaging could provide significant additional insight into therapeutic impact if a specific parameter or combination of parameters could be identified which reflect tissue changes at the cellular or physiologic level. This would provide an early indicator of treatment response/outcome in an individual patient before completion of therapy. Moreover, response of a tumor to therapeutic intervention may be heterogeneous. The use of imaging could assist in delineating therapeutic-induced spatial heterogeneity within a tumor mass by providing information related to specific regions that are resistant or responsive to treatment. Largely untapped potential resides in exploratory methods such as diffusion MRI, which is a non-volumetric intravoxel measure of tumor response based upon water molecular mobility. Alterations in water mobility reflect changes in tissue structure at the cellular level. While the clinical utility of diffusion MRI for oncologic practice is still under active investigation, this overview on the use of diffusion MRI for the evaluation of brain tumors will serve to introduce how this approach may be applied in the future for the management of patients with solid tumors.https://doi.org/10.1162/15353500200221482 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thomas L. Chenevert Charles R. Meyer Bradford A. Moffat Alnawaz Rehemtulla Suresh K. Mukherji Stephen S. Gebarski Douglas J. Quint Patricia L. Robertson Theodore S. Lawrence Larry Junck Jeremy M. G. Taylor Timothy D. Johnson Qian Dong Karin M. Muraszko James A. Brunberg Brian D. Ross |
spellingShingle |
Thomas L. Chenevert Charles R. Meyer Bradford A. Moffat Alnawaz Rehemtulla Suresh K. Mukherji Stephen S. Gebarski Douglas J. Quint Patricia L. Robertson Theodore S. Lawrence Larry Junck Jeremy M. G. Taylor Timothy D. Johnson Qian Dong Karin M. Muraszko James A. Brunberg Brian D. Ross Diffusion MRI: A New Strategy for Assessment of Cancer Therapeutic Efficacy Molecular Imaging |
author_facet |
Thomas L. Chenevert Charles R. Meyer Bradford A. Moffat Alnawaz Rehemtulla Suresh K. Mukherji Stephen S. Gebarski Douglas J. Quint Patricia L. Robertson Theodore S. Lawrence Larry Junck Jeremy M. G. Taylor Timothy D. Johnson Qian Dong Karin M. Muraszko James A. Brunberg Brian D. Ross |
author_sort |
Thomas L. Chenevert |
title |
Diffusion MRI: A New Strategy for Assessment of Cancer Therapeutic Efficacy |
title_short |
Diffusion MRI: A New Strategy for Assessment of Cancer Therapeutic Efficacy |
title_full |
Diffusion MRI: A New Strategy for Assessment of Cancer Therapeutic Efficacy |
title_fullStr |
Diffusion MRI: A New Strategy for Assessment of Cancer Therapeutic Efficacy |
title_full_unstemmed |
Diffusion MRI: A New Strategy for Assessment of Cancer Therapeutic Efficacy |
title_sort |
diffusion mri: a new strategy for assessment of cancer therapeutic efficacy |
publisher |
Hindawi - SAGE Publishing |
series |
Molecular Imaging |
issn |
1536-0121 |
publishDate |
2002-10-01 |
description |
The use of anatomical imaging in clinical oncology practice traditionally relies on comparison of patient scans acquired before and following completion of therapeutic intervention. Therapeutic success is typically determined from inspection of gross anatomical images to assess changes in tumor size. Imaging could provide significant additional insight into therapeutic impact if a specific parameter or combination of parameters could be identified which reflect tissue changes at the cellular or physiologic level. This would provide an early indicator of treatment response/outcome in an individual patient before completion of therapy. Moreover, response of a tumor to therapeutic intervention may be heterogeneous. The use of imaging could assist in delineating therapeutic-induced spatial heterogeneity within a tumor mass by providing information related to specific regions that are resistant or responsive to treatment. Largely untapped potential resides in exploratory methods such as diffusion MRI, which is a non-volumetric intravoxel measure of tumor response based upon water molecular mobility. Alterations in water mobility reflect changes in tissue structure at the cellular level. While the clinical utility of diffusion MRI for oncologic practice is still under active investigation, this overview on the use of diffusion MRI for the evaluation of brain tumors will serve to introduce how this approach may be applied in the future for the management of patients with solid tumors. |
url |
https://doi.org/10.1162/15353500200221482 |
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