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Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient

BACKGROUND: This study aimed to elucidate the impact of effective diffusion time setting on apparent diffusion coefficient (ADC)-based differentiation between primary central nervous system lymphomas (PCNSLs) and glioblastomas (GBMs) and to investigate the usage of time-dependent diffusion magnetic...

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Autores principales: Kamimura, Kiyohisa, Nakano, Tsubasa, Hasegawa, Tomohito, Nakajo, Masanori, Yamada, Chihiro, Kamimura, Yoshiki, Akune, Kentaro, Ejima, Fumitaka, Ayukawa, Takuro, Nagano, Hiroaki, Takumi, Koji, Nakajo, Masatoyo, Higa, Nayuta, Yonezawa, Hajime, Hanaya, Ryosuke, Kirishima, Mari, Tanimoto, Akihide, Iwanaga, Takashi, Imai, Hiroshi, Feiweier, Thorsten, Yoshiura, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691025/
https://www.ncbi.nlm.nih.gov/pubmed/38037172
http://dx.doi.org/10.1186/s40644-023-00639-7
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author Kamimura, Kiyohisa
Nakano, Tsubasa
Hasegawa, Tomohito
Nakajo, Masanori
Yamada, Chihiro
Kamimura, Yoshiki
Akune, Kentaro
Ejima, Fumitaka
Ayukawa, Takuro
Nagano, Hiroaki
Takumi, Koji
Nakajo, Masatoyo
Higa, Nayuta
Yonezawa, Hajime
Hanaya, Ryosuke
Kirishima, Mari
Tanimoto, Akihide
Iwanaga, Takashi
Imai, Hiroshi
Feiweier, Thorsten
Yoshiura, Takashi
author_facet Kamimura, Kiyohisa
Nakano, Tsubasa
Hasegawa, Tomohito
Nakajo, Masanori
Yamada, Chihiro
Kamimura, Yoshiki
Akune, Kentaro
Ejima, Fumitaka
Ayukawa, Takuro
Nagano, Hiroaki
Takumi, Koji
Nakajo, Masatoyo
Higa, Nayuta
Yonezawa, Hajime
Hanaya, Ryosuke
Kirishima, Mari
Tanimoto, Akihide
Iwanaga, Takashi
Imai, Hiroshi
Feiweier, Thorsten
Yoshiura, Takashi
author_sort Kamimura, Kiyohisa
collection PubMed
description BACKGROUND: This study aimed to elucidate the impact of effective diffusion time setting on apparent diffusion coefficient (ADC)-based differentiation between primary central nervous system lymphomas (PCNSLs) and glioblastomas (GBMs) and to investigate the usage of time-dependent diffusion magnetic resonance imaging (MRI) parameters. METHODS: A retrospective study was conducted involving 21 patients with PCNSLs and 66 patients with GBMs using diffusion weighted imaging (DWI) sequences with oscillating gradient spin-echo (Δ(eff) = 7.1 ms) and conventional pulsed gradient (Δ(eff) = 44.5 ms). In addition to ADC maps at the two diffusion times (ADC(7.1 ms) and ADC(44.5 ms)), we generated maps of the ADC changes (cADC) and the relative ADC changes (rcADC) between the two diffusion times. Regions of interest were placed on enhancing regions and non-enhancing peritumoral regions. The mean and the fifth and 95(th) percentile values of each parameter were compared between PCNSLs and GBMs. The area under the receiver operating characteristic curve (AUC) values were used to compare the discriminating performances among the indices. RESULTS: In enhancing regions, the mean and fifth and 95(th) percentile values of ADC(44.5 ms) and ADC(7.1 ms) in PCNSLs were significantly lower than those in GBMs (p = 0.02 for 95(th) percentile of ADC(44.5 ms), p = 0.04 for ADC(7.1 ms), and p < 0.01 for others). Furthermore, the mean and fifth and 95(th) percentile values of cADC and rcADC were significantly higher in PCNSLs than in GBMs (each p < 0.01). The AUC of the best-performing index for ADC(7.1 ms) was significantly lower than that for ADC(44.5 ms) (p < 0.001). The mean rcADC showed the highest discriminating performance (AUC = 0.920) among all indices. In peritumoral regions, no significant difference in any of the three indices of ADC(44.5 ms), ADC(7.1 ms), cADC, and rcADC was observed between PCNSLs and GBMs. CONCLUSIONS: Effective diffusion time setting can have a crucial impact on the performance of ADC in differentiating between PCNSLs and GBMs. The time-dependent diffusion MRI parameters may be useful in the differentiation of these lesions.
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spelling pubmed-106910252023-12-02 Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient Kamimura, Kiyohisa Nakano, Tsubasa Hasegawa, Tomohito Nakajo, Masanori Yamada, Chihiro Kamimura, Yoshiki Akune, Kentaro Ejima, Fumitaka Ayukawa, Takuro Nagano, Hiroaki Takumi, Koji Nakajo, Masatoyo Higa, Nayuta Yonezawa, Hajime Hanaya, Ryosuke Kirishima, Mari Tanimoto, Akihide Iwanaga, Takashi Imai, Hiroshi Feiweier, Thorsten Yoshiura, Takashi Cancer Imaging Research Article BACKGROUND: This study aimed to elucidate the impact of effective diffusion time setting on apparent diffusion coefficient (ADC)-based differentiation between primary central nervous system lymphomas (PCNSLs) and glioblastomas (GBMs) and to investigate the usage of time-dependent diffusion magnetic resonance imaging (MRI) parameters. METHODS: A retrospective study was conducted involving 21 patients with PCNSLs and 66 patients with GBMs using diffusion weighted imaging (DWI) sequences with oscillating gradient spin-echo (Δ(eff) = 7.1 ms) and conventional pulsed gradient (Δ(eff) = 44.5 ms). In addition to ADC maps at the two diffusion times (ADC(7.1 ms) and ADC(44.5 ms)), we generated maps of the ADC changes (cADC) and the relative ADC changes (rcADC) between the two diffusion times. Regions of interest were placed on enhancing regions and non-enhancing peritumoral regions. The mean and the fifth and 95(th) percentile values of each parameter were compared between PCNSLs and GBMs. The area under the receiver operating characteristic curve (AUC) values were used to compare the discriminating performances among the indices. RESULTS: In enhancing regions, the mean and fifth and 95(th) percentile values of ADC(44.5 ms) and ADC(7.1 ms) in PCNSLs were significantly lower than those in GBMs (p = 0.02 for 95(th) percentile of ADC(44.5 ms), p = 0.04 for ADC(7.1 ms), and p < 0.01 for others). Furthermore, the mean and fifth and 95(th) percentile values of cADC and rcADC were significantly higher in PCNSLs than in GBMs (each p < 0.01). The AUC of the best-performing index for ADC(7.1 ms) was significantly lower than that for ADC(44.5 ms) (p < 0.001). The mean rcADC showed the highest discriminating performance (AUC = 0.920) among all indices. In peritumoral regions, no significant difference in any of the three indices of ADC(44.5 ms), ADC(7.1 ms), cADC, and rcADC was observed between PCNSLs and GBMs. CONCLUSIONS: Effective diffusion time setting can have a crucial impact on the performance of ADC in differentiating between PCNSLs and GBMs. The time-dependent diffusion MRI parameters may be useful in the differentiation of these lesions. BioMed Central 2023-11-30 /pmc/articles/PMC10691025/ /pubmed/38037172 http://dx.doi.org/10.1186/s40644-023-00639-7 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
Nakano, Tsubasa
Hasegawa, Tomohito
Nakajo, Masanori
Yamada, Chihiro
Kamimura, Yoshiki
Akune, Kentaro
Ejima, Fumitaka
Ayukawa, Takuro
Nagano, Hiroaki
Takumi, Koji
Nakajo, Masatoyo
Higa, Nayuta
Yonezawa, Hajime
Hanaya, Ryosuke
Kirishima, Mari
Tanimoto, Akihide
Iwanaga, Takashi
Imai, Hiroshi
Feiweier, Thorsten
Yoshiura, Takashi
Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
title Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
title_full Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
title_fullStr Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
title_full_unstemmed Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
title_short Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
title_sort differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691025/
https://www.ncbi.nlm.nih.gov/pubmed/38037172
http://dx.doi.org/10.1186/s40644-023-00639-7
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