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Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma

Due to glioblastoma's infiltrative nature, an optimal radiation therapy (RT) plan requires targeting infiltration not identified by anatomical magnetic resonance imaging (MRI). Here, high-resolution, whole-brain spectroscopic MRI (sMRI) is used to describe tumor infiltration alongside anatomica...

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Autores principales: Cordova, J. Scott, Kandula, Shravan, Gurbani, Saumya, Zhong, Jim, Tejani, Mital, Kayode, Oluwatosin, Patel, Kirtesh, Prabhu, Roshan, Schreibmann, Eduard, Crocker, Ian, Holder, Chad A., Shim, Hyunsuk, Shu, Hui-Kuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241103/
https://www.ncbi.nlm.nih.gov/pubmed/28105468
http://dx.doi.org/10.18383/j.tom.2016.00187
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author Cordova, J. Scott
Kandula, Shravan
Gurbani, Saumya
Zhong, Jim
Tejani, Mital
Kayode, Oluwatosin
Patel, Kirtesh
Prabhu, Roshan
Schreibmann, Eduard
Crocker, Ian
Holder, Chad A.
Shim, Hyunsuk
Shu, Hui-Kuo
author_facet Cordova, J. Scott
Kandula, Shravan
Gurbani, Saumya
Zhong, Jim
Tejani, Mital
Kayode, Oluwatosin
Patel, Kirtesh
Prabhu, Roshan
Schreibmann, Eduard
Crocker, Ian
Holder, Chad A.
Shim, Hyunsuk
Shu, Hui-Kuo
author_sort Cordova, J. Scott
collection PubMed
description Due to glioblastoma's infiltrative nature, an optimal radiation therapy (RT) plan requires targeting infiltration not identified by anatomical magnetic resonance imaging (MRI). Here, high-resolution, whole-brain spectroscopic MRI (sMRI) is used to describe tumor infiltration alongside anatomical MRI and simulate the degree to which it modifies RT target planning. In 11 patients with glioblastoma, data from preRT sMRI scans were processed to give high-resolution, whole-brain metabolite maps normalized by contralateral white matter. Maps depicting choline to N-Acetylaspartate (Cho/NAA) ratios were registered to contrast-enhanced T1-weighted RT planning MRI for each patient. Volumes depicting metabolic abnormalities (1.5-, 1.75-, and 2.0-fold increases in Cho/NAA ratios) were compared with conventional target volumes and contrast-enhancing tumor at recurrence. sMRI-modified RT plans were generated to evaluate target volume coverage and organ-at-risk dose constraints. Conventional clinical target volumes and Cho/NAA abnormalities identified significantly different regions of microscopic infiltration with substantial Cho/NAA abnormalities falling outside of the conventional 60 Gy isodose line (41.1, 22.2, and 12.7 cm(3), respectively). Clinical target volumes using Cho/NAA thresholds exhibited significantly higher coverage of contrast enhancement at recurrence on average (92.4%, 90.5%, and 88.6%, respectively) than conventional plans (82.5%). sMRI-based plans targeting tumor infiltration met planning objectives in all cases with no significant change in target coverage. In 2 cases, the sMRI-modified plan exhibited better coverage of contrast-enhancing tumor at recurrence than the original plan. Integration of the high-resolution, whole-brain sMRI into RT planning is feasible, resulting in RT target volumes that can effectively target tumor infiltration while adhering to conventional constraints.
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spelling pubmed-52411032017-01-17 Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma Cordova, J. Scott Kandula, Shravan Gurbani, Saumya Zhong, Jim Tejani, Mital Kayode, Oluwatosin Patel, Kirtesh Prabhu, Roshan Schreibmann, Eduard Crocker, Ian Holder, Chad A. Shim, Hyunsuk Shu, Hui-Kuo Tomography Research Articles Due to glioblastoma's infiltrative nature, an optimal radiation therapy (RT) plan requires targeting infiltration not identified by anatomical magnetic resonance imaging (MRI). Here, high-resolution, whole-brain spectroscopic MRI (sMRI) is used to describe tumor infiltration alongside anatomical MRI and simulate the degree to which it modifies RT target planning. In 11 patients with glioblastoma, data from preRT sMRI scans were processed to give high-resolution, whole-brain metabolite maps normalized by contralateral white matter. Maps depicting choline to N-Acetylaspartate (Cho/NAA) ratios were registered to contrast-enhanced T1-weighted RT planning MRI for each patient. Volumes depicting metabolic abnormalities (1.5-, 1.75-, and 2.0-fold increases in Cho/NAA ratios) were compared with conventional target volumes and contrast-enhancing tumor at recurrence. sMRI-modified RT plans were generated to evaluate target volume coverage and organ-at-risk dose constraints. Conventional clinical target volumes and Cho/NAA abnormalities identified significantly different regions of microscopic infiltration with substantial Cho/NAA abnormalities falling outside of the conventional 60 Gy isodose line (41.1, 22.2, and 12.7 cm(3), respectively). Clinical target volumes using Cho/NAA thresholds exhibited significantly higher coverage of contrast enhancement at recurrence on average (92.4%, 90.5%, and 88.6%, respectively) than conventional plans (82.5%). sMRI-based plans targeting tumor infiltration met planning objectives in all cases with no significant change in target coverage. In 2 cases, the sMRI-modified plan exhibited better coverage of contrast-enhancing tumor at recurrence than the original plan. Integration of the high-resolution, whole-brain sMRI into RT planning is feasible, resulting in RT target volumes that can effectively target tumor infiltration while adhering to conventional constraints. Grapho Publications, LLC 2016-12 /pmc/articles/PMC5241103/ /pubmed/28105468 http://dx.doi.org/10.18383/j.tom.2016.00187 Text en © 2016 The Authors. Published by Grapho Publications, LLC https://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Articles
Cordova, J. Scott
Kandula, Shravan
Gurbani, Saumya
Zhong, Jim
Tejani, Mital
Kayode, Oluwatosin
Patel, Kirtesh
Prabhu, Roshan
Schreibmann, Eduard
Crocker, Ian
Holder, Chad A.
Shim, Hyunsuk
Shu, Hui-Kuo
Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma
title Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma
title_full Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma
title_fullStr Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma
title_full_unstemmed Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma
title_short Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma
title_sort simulating the effect of spectroscopic mri as a metric for radiation therapy planning in patients with glioblastoma
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241103/
https://www.ncbi.nlm.nih.gov/pubmed/28105468
http://dx.doi.org/10.18383/j.tom.2016.00187
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