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Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI
BACKGROUND: This study was designed to investigate the use of time-dependent diffusion magnetic resonance imaging (MRI) parameters in distinguishing between glioblastomas and brain metastases. METHODS: A retrospective study was conducted involving 65 patients with glioblastomas and 27 patients with...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410879/ https://www.ncbi.nlm.nih.gov/pubmed/37553578 http://dx.doi.org/10.1186/s40644-023-00595-2 |
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author | Kamimura, Kiyohisa Kamimura, Yoshiki Nakano, Tsubasa Hasegawa, Tomohito Nakajo, Masanori Yamada, Chihiro Akune, Kentaro Ejima, Fumitaka Ayukawa, Takuro Ito, Soichiro Nagano, Hiroaki Takumi, Koji Nakajo, Masatoyo Uchida, Hiroyuki Tabata, Kazuhiro Iwanaga, Takashi Imai, Hiroshi Feiweier, Thorsten Yoshiura, Takashi |
author_facet | Kamimura, Kiyohisa Kamimura, Yoshiki Nakano, Tsubasa Hasegawa, Tomohito Nakajo, Masanori Yamada, Chihiro Akune, Kentaro Ejima, Fumitaka Ayukawa, Takuro Ito, Soichiro Nagano, Hiroaki Takumi, Koji Nakajo, Masatoyo Uchida, Hiroyuki Tabata, Kazuhiro Iwanaga, Takashi Imai, Hiroshi Feiweier, Thorsten Yoshiura, Takashi |
author_sort | Kamimura, Kiyohisa |
collection | PubMed |
description | BACKGROUND: This study was designed to investigate the use of time-dependent diffusion magnetic resonance imaging (MRI) parameters in distinguishing between glioblastomas and brain metastases. METHODS: A retrospective study was conducted involving 65 patients with glioblastomas and 27 patients with metastases using a diffusion-weighted imaging sequence with oscillating gradient spin-echo (OGSE, 50 Hz) and a conventional pulsed gradient spin-echo (PGSE, 0 Hz) sequence. In addition to apparent diffusion coefficient (ADC) maps from two sequences (ADC(50Hz) and ADC(0Hz)), we generated maps of the ADC change (cADC): ADC(50Hz) − ADC(0Hz) and the relative ADC change (rcADC): (ADC(50Hz) − ADC(0Hz))/ ADC(0Hz) × 100 (%). RESULTS: The mean and the fifth and 95th percentile values of each parameter in enhancing and peritumoral regions were compared between glioblastomas and metastases. The area under the receiver operating characteristic curve (AUC) values of the best discriminating indices were compared. In enhancing regions, none of the indices of ADC(0Hz) and ADC(50Hz) showed significant differences between metastases and glioblastomas. The mean cADC and rcADC values of metastases were significantly higher than those of glioblastomas (0.24 ± 0.12 × 10(−3)mm(2)/s vs. 0.14 ± 0.03 × 10(−3)mm(2)/s and 23.3 ± 9.4% vs. 14.0 ± 4.7%; all p < 0.01). In peritumoral regions, no significant difference in all ADC indices was observed between metastases and glioblastomas. The AUC values for the mean cADC (0.877) and rcADC (0.819) values in enhancing regions were significantly higher than those for ADC(0Hz)(5th) (0.595; all p < 0.001). CONCLUSIONS: The time-dependent diffusion MRI parameters may be useful for differentiating brain metastases from glioblastomas. |
format | Online Article Text |
id | pubmed-10410879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104108792023-08-10 Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI Kamimura, Kiyohisa Kamimura, Yoshiki Nakano, Tsubasa Hasegawa, Tomohito Nakajo, Masanori Yamada, Chihiro Akune, Kentaro Ejima, Fumitaka Ayukawa, Takuro Ito, Soichiro Nagano, Hiroaki Takumi, Koji Nakajo, Masatoyo Uchida, Hiroyuki Tabata, Kazuhiro Iwanaga, Takashi Imai, Hiroshi Feiweier, Thorsten Yoshiura, Takashi Cancer Imaging Research Article BACKGROUND: This study was designed to investigate the use of time-dependent diffusion magnetic resonance imaging (MRI) parameters in distinguishing between glioblastomas and brain metastases. METHODS: A retrospective study was conducted involving 65 patients with glioblastomas and 27 patients with metastases using a diffusion-weighted imaging sequence with oscillating gradient spin-echo (OGSE, 50 Hz) and a conventional pulsed gradient spin-echo (PGSE, 0 Hz) sequence. In addition to apparent diffusion coefficient (ADC) maps from two sequences (ADC(50Hz) and ADC(0Hz)), we generated maps of the ADC change (cADC): ADC(50Hz) − ADC(0Hz) and the relative ADC change (rcADC): (ADC(50Hz) − ADC(0Hz))/ ADC(0Hz) × 100 (%). RESULTS: The mean and the fifth and 95th percentile values of each parameter in enhancing and peritumoral regions were compared between glioblastomas and metastases. The area under the receiver operating characteristic curve (AUC) values of the best discriminating indices were compared. In enhancing regions, none of the indices of ADC(0Hz) and ADC(50Hz) showed significant differences between metastases and glioblastomas. The mean cADC and rcADC values of metastases were significantly higher than those of glioblastomas (0.24 ± 0.12 × 10(−3)mm(2)/s vs. 0.14 ± 0.03 × 10(−3)mm(2)/s and 23.3 ± 9.4% vs. 14.0 ± 4.7%; all p < 0.01). In peritumoral regions, no significant difference in all ADC indices was observed between metastases and glioblastomas. The AUC values for the mean cADC (0.877) and rcADC (0.819) values in enhancing regions were significantly higher than those for ADC(0Hz)(5th) (0.595; all p < 0.001). CONCLUSIONS: The time-dependent diffusion MRI parameters may be useful for differentiating brain metastases from glioblastomas. BioMed Central 2023-08-08 /pmc/articles/PMC10410879/ /pubmed/37553578 http://dx.doi.org/10.1186/s40644-023-00595-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Kamimura, Kiyohisa Kamimura, Yoshiki Nakano, Tsubasa Hasegawa, Tomohito Nakajo, Masanori Yamada, Chihiro Akune, Kentaro Ejima, Fumitaka Ayukawa, Takuro Ito, Soichiro Nagano, Hiroaki Takumi, Koji Nakajo, Masatoyo Uchida, Hiroyuki Tabata, Kazuhiro Iwanaga, Takashi Imai, Hiroshi Feiweier, Thorsten Yoshiura, Takashi Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI |
title | Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI |
title_full | Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI |
title_fullStr | Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI |
title_full_unstemmed | Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI |
title_short | Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI |
title_sort | differentiating brain metastasis from glioblastoma by time-dependent diffusion mri |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410879/ https://www.ncbi.nlm.nih.gov/pubmed/37553578 http://dx.doi.org/10.1186/s40644-023-00595-2 |
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