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NI-3 Magnetic resonance relaxometry for tumor cell density imaging for glioma: An exploratory study via 11C-methionine PET and its validation via stereotactic tissue sampling

Objective: While visualization of non-enhancing tumors for glioma is crucial for planning the most appropriate surgical or non-surgical treatment of the disease, current MRI cannot achieve this goal. This study aims to test the hypothesis that quantitative and diffusion MRI can estimate tumor burden...

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Autores principales: Kinoshita, Manabu, Uchikoshi, Masato, Tateishi, Souichiro, Miyazaki, Shohei, Sakai, Mio, Ozaki, Tomohiko, Asai, Katsunori, Fujita, Yuya, Matsuhashi, Takahiro, Kanemura, Yonehiro, Shimosegawa, Eku, Hatazawa, Jun, Nakatsuka, Shinichi, Kishima, Haruhiko, Nakanishi, Katsuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648183/
http://dx.doi.org/10.1093/noajnl/vdab159.068
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author Kinoshita, Manabu
Uchikoshi, Masato
Tateishi, Souichiro
Miyazaki, Shohei
Sakai, Mio
Ozaki, Tomohiko
Asai, Katsunori
Fujita, Yuya
Matsuhashi, Takahiro
Kanemura, Yonehiro
Shimosegawa, Eku
Hatazawa, Jun
Nakatsuka, Shinichi
Kishima, Haruhiko
Nakanishi, Katsuyuki
author_facet Kinoshita, Manabu
Uchikoshi, Masato
Tateishi, Souichiro
Miyazaki, Shohei
Sakai, Mio
Ozaki, Tomohiko
Asai, Katsunori
Fujita, Yuya
Matsuhashi, Takahiro
Kanemura, Yonehiro
Shimosegawa, Eku
Hatazawa, Jun
Nakatsuka, Shinichi
Kishima, Haruhiko
Nakanishi, Katsuyuki
author_sort Kinoshita, Manabu
collection PubMed
description Objective: While visualization of non-enhancing tumors for glioma is crucial for planning the most appropriate surgical or non-surgical treatment of the disease, current MRI cannot achieve this goal. This study aims to test the hypothesis that quantitative and diffusion MRI can estimate tumor burden with the brain. Materials and Methods: Study 1: Ten patients who have undergone Methionine PET (Met-PET), quantitative MRI (qMRI), and diffusion MRI (DWI) were included for analysis. A cut-off of a tumor-to-normal ratio (T/Nr) 1.5 was set on Met-PET, and the values from qMRI and DWI were compared. Study 2: Seventy-nine stereo-tactically sampled tissues from 22 glioma patients were correlated with Met-PET, qMRI, and DWI measurements regarding tumor cell density. qMRI acquisition: Imaging was performed on either a 1.5 or 3 T MR scanner (Prisma or Aera; Siemens Healthcare, Erlangen, Germany). T1-relaxometry was achieved by first acquiring MP2RAGE images, then converting those images into T1-relaxation time maps. At the same time, T2-relaxometry was achieved by first acquiring multi-echo T2-weighted images and then converting those images into T2-relaxation time maps, with both relaxometries performed via Bayesian inference modeling (Olea Nova+; Canon Medical Systems, Tochigi, Japan). Results: Study 1 revealed that regions of 1850ms < T1-relaxation time < 3200ms and 115ms < T2-relaxation time < 225ms tended to be Met-PET T/Nr > 1.5. DWI was not useful to separate areas between low and high Met-PET. Study 2 showed that regions of 1850ms < T1-relaxation time < 3200ms showed high tumor cell density than other areas (p=0.04). Conclusions: Our results supported the hypothesis that qMRI is useful for predicting the tumor load within the brain among glioma patients. T1-relaxation time was notably useful for this means. On the other hand, ADC measured from DWI was limited for tumor load prediction.
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spelling pubmed-86481832021-12-07 NI-3 Magnetic resonance relaxometry for tumor cell density imaging for glioma: An exploratory study via 11C-methionine PET and its validation via stereotactic tissue sampling Kinoshita, Manabu Uchikoshi, Masato Tateishi, Souichiro Miyazaki, Shohei Sakai, Mio Ozaki, Tomohiko Asai, Katsunori Fujita, Yuya Matsuhashi, Takahiro Kanemura, Yonehiro Shimosegawa, Eku Hatazawa, Jun Nakatsuka, Shinichi Kishima, Haruhiko Nakanishi, Katsuyuki Neurooncol Adv Supplement Abstracts Objective: While visualization of non-enhancing tumors for glioma is crucial for planning the most appropriate surgical or non-surgical treatment of the disease, current MRI cannot achieve this goal. This study aims to test the hypothesis that quantitative and diffusion MRI can estimate tumor burden with the brain. Materials and Methods: Study 1: Ten patients who have undergone Methionine PET (Met-PET), quantitative MRI (qMRI), and diffusion MRI (DWI) were included for analysis. A cut-off of a tumor-to-normal ratio (T/Nr) 1.5 was set on Met-PET, and the values from qMRI and DWI were compared. Study 2: Seventy-nine stereo-tactically sampled tissues from 22 glioma patients were correlated with Met-PET, qMRI, and DWI measurements regarding tumor cell density. qMRI acquisition: Imaging was performed on either a 1.5 or 3 T MR scanner (Prisma or Aera; Siemens Healthcare, Erlangen, Germany). T1-relaxometry was achieved by first acquiring MP2RAGE images, then converting those images into T1-relaxation time maps. At the same time, T2-relaxometry was achieved by first acquiring multi-echo T2-weighted images and then converting those images into T2-relaxation time maps, with both relaxometries performed via Bayesian inference modeling (Olea Nova+; Canon Medical Systems, Tochigi, Japan). Results: Study 1 revealed that regions of 1850ms < T1-relaxation time < 3200ms and 115ms < T2-relaxation time < 225ms tended to be Met-PET T/Nr > 1.5. DWI was not useful to separate areas between low and high Met-PET. Study 2 showed that regions of 1850ms < T1-relaxation time < 3200ms showed high tumor cell density than other areas (p=0.04). Conclusions: Our results supported the hypothesis that qMRI is useful for predicting the tumor load within the brain among glioma patients. T1-relaxation time was notably useful for this means. On the other hand, ADC measured from DWI was limited for tumor load prediction. Oxford University Press 2021-12-06 /pmc/articles/PMC8648183/ http://dx.doi.org/10.1093/noajnl/vdab159.068 Text en © The Author(s) 2021. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Supplement Abstracts
Kinoshita, Manabu
Uchikoshi, Masato
Tateishi, Souichiro
Miyazaki, Shohei
Sakai, Mio
Ozaki, Tomohiko
Asai, Katsunori
Fujita, Yuya
Matsuhashi, Takahiro
Kanemura, Yonehiro
Shimosegawa, Eku
Hatazawa, Jun
Nakatsuka, Shinichi
Kishima, Haruhiko
Nakanishi, Katsuyuki
NI-3 Magnetic resonance relaxometry for tumor cell density imaging for glioma: An exploratory study via 11C-methionine PET and its validation via stereotactic tissue sampling
title NI-3 Magnetic resonance relaxometry for tumor cell density imaging for glioma: An exploratory study via 11C-methionine PET and its validation via stereotactic tissue sampling
title_full NI-3 Magnetic resonance relaxometry for tumor cell density imaging for glioma: An exploratory study via 11C-methionine PET and its validation via stereotactic tissue sampling
title_fullStr NI-3 Magnetic resonance relaxometry for tumor cell density imaging for glioma: An exploratory study via 11C-methionine PET and its validation via stereotactic tissue sampling
title_full_unstemmed NI-3 Magnetic resonance relaxometry for tumor cell density imaging for glioma: An exploratory study via 11C-methionine PET and its validation via stereotactic tissue sampling
title_short NI-3 Magnetic resonance relaxometry for tumor cell density imaging for glioma: An exploratory study via 11C-methionine PET and its validation via stereotactic tissue sampling
title_sort ni-3 magnetic resonance relaxometry for tumor cell density imaging for glioma: an exploratory study via 11c-methionine pet and its validation via stereotactic tissue sampling
topic Supplement Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648183/
http://dx.doi.org/10.1093/noajnl/vdab159.068
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