Feasibility of IVIM parameters from diffusion-weighted imaging at 11.7T MRI for detecting ischemic changes in common carotid artery occlusion rats

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Feasibility of IVIM parameters from diffusion-weighted imaging at 11.7T MRI for detecting ischemic changes in common carotid artery occlusion rats. / Fujiwara, Shunrou; Mori, Yuki; de la Mora, Daniela Martinez; Akamatsu, Yosuke; Yoshida, Kenji; Shibata, Yuji; Masuda, Tomoyuki; Ogasawara, Kuniaki; Yoshioka, Yoshichika.

In: Scientific Reports, Vol. 10, No. 1, 8404, 2020.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Fujiwara, S, Mori, Y, de la Mora, DM, Akamatsu, Y, Yoshida, K, Shibata, Y, Masuda, T, Ogasawara, K & Yoshioka, Y 2020, 'Feasibility of IVIM parameters from diffusion-weighted imaging at 11.7T MRI for detecting ischemic changes in common carotid artery occlusion rats', Scientific Reports, vol. 10, no. 1, 8404. https://doi.org/10.1038/s41598-020-65310-8

APA

Fujiwara, S., Mori, Y., de la Mora, D. M., Akamatsu, Y., Yoshida, K., Shibata, Y., Masuda, T., Ogasawara, K., & Yoshioka, Y. (2020). Feasibility of IVIM parameters from diffusion-weighted imaging at 11.7T MRI for detecting ischemic changes in common carotid artery occlusion rats. Scientific Reports, 10(1), [8404]. https://doi.org/10.1038/s41598-020-65310-8

Vancouver

Fujiwara S, Mori Y, de la Mora DM, Akamatsu Y, Yoshida K, Shibata Y et al. Feasibility of IVIM parameters from diffusion-weighted imaging at 11.7T MRI for detecting ischemic changes in common carotid artery occlusion rats. Scientific Reports. 2020;10(1). 8404. https://doi.org/10.1038/s41598-020-65310-8

Author

Fujiwara, Shunrou ; Mori, Yuki ; de la Mora, Daniela Martinez ; Akamatsu, Yosuke ; Yoshida, Kenji ; Shibata, Yuji ; Masuda, Tomoyuki ; Ogasawara, Kuniaki ; Yoshioka, Yoshichika. / Feasibility of IVIM parameters from diffusion-weighted imaging at 11.7T MRI for detecting ischemic changes in common carotid artery occlusion rats. In: Scientific Reports. 2020 ; Vol. 10, No. 1.

Bibtex

@article{58e5901f8a254a92955d15fe34d7e2c7,
title = "Feasibility of IVIM parameters from diffusion-weighted imaging at 11.7T MRI for detecting ischemic changes in common carotid artery occlusion rats",
abstract = "This study aimed to investigate whether intravoxel incoherent motion (IVIM) parameters can identify ischemic changes in the rat cerebral cortex using a preclinical ultra-high-field 11.7Tesla magnetic resonance imaging (11.7TMRI) scanner. In nine female Wistar rats (eight weeks old), diffusion-weighted imaging (DWI) for IVIM analysis was successfully performed before (Pre) and after unilateral (UCCAO) and bilateral (BCCAO) common carotid artery occlusion. From the acquired DWI signals averaged in six regions of interest (ROI) placed on the cortex, volume fraction of perfusion compartment (F), pseudo diffusion coefficient (D*), FxD* and apparent diffusion coefficient (ADC) were determined as IVIM parameters in the following three DWI signal models: the bi-exponential, kurtosis, and tri-exponential model. For a subgroup analysis, four rats that survived two weeks after BCCAO were assigned to the long survival (LS) group, whereas the non-LS group consisted of the remaining five animals. Each IVIM parameter change among three phases (Pre, UCCAO and BCCAO) was statistically examined in each ROI. Then, the change in each rat group was also examined for subgroup analysis. All three models were able to identify cerebral ischemic change and damage as IVIM parameter change among three phases. Furthermore, the kurtosis model could identify the parameter changes in more regions than the other two models. In the subgroup analysis with the kurtosis model, ADC in non-LS group significantly decreased between UCCAO and BCCAO but not in LS group. IVIM parameters at 11.7TMRI may help us to detect the subtle ischemic change; in particular, with the kurtosis model.",
keywords = "WATER DIFFUSION, BLOOD-FLOW, INTRAVOXEL, PERFUSION, BRAIN, MODEL, DISEASE, GLIOMAS, TISSUE",
author = "Shunrou Fujiwara and Yuki Mori and {de la Mora}, {Daniela Martinez} and Yosuke Akamatsu and Kenji Yoshida and Yuji Shibata and Tomoyuki Masuda and Kuniaki Ogasawara and Yoshichika Yoshioka",
year = "2020",
doi = "10.1038/s41598-020-65310-8",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Feasibility of IVIM parameters from diffusion-weighted imaging at 11.7T MRI for detecting ischemic changes in common carotid artery occlusion rats

AU - Fujiwara, Shunrou

AU - Mori, Yuki

AU - de la Mora, Daniela Martinez

AU - Akamatsu, Yosuke

AU - Yoshida, Kenji

AU - Shibata, Yuji

AU - Masuda, Tomoyuki

AU - Ogasawara, Kuniaki

AU - Yoshioka, Yoshichika

PY - 2020

Y1 - 2020

N2 - This study aimed to investigate whether intravoxel incoherent motion (IVIM) parameters can identify ischemic changes in the rat cerebral cortex using a preclinical ultra-high-field 11.7Tesla magnetic resonance imaging (11.7TMRI) scanner. In nine female Wistar rats (eight weeks old), diffusion-weighted imaging (DWI) for IVIM analysis was successfully performed before (Pre) and after unilateral (UCCAO) and bilateral (BCCAO) common carotid artery occlusion. From the acquired DWI signals averaged in six regions of interest (ROI) placed on the cortex, volume fraction of perfusion compartment (F), pseudo diffusion coefficient (D*), FxD* and apparent diffusion coefficient (ADC) were determined as IVIM parameters in the following three DWI signal models: the bi-exponential, kurtosis, and tri-exponential model. For a subgroup analysis, four rats that survived two weeks after BCCAO were assigned to the long survival (LS) group, whereas the non-LS group consisted of the remaining five animals. Each IVIM parameter change among three phases (Pre, UCCAO and BCCAO) was statistically examined in each ROI. Then, the change in each rat group was also examined for subgroup analysis. All three models were able to identify cerebral ischemic change and damage as IVIM parameter change among three phases. Furthermore, the kurtosis model could identify the parameter changes in more regions than the other two models. In the subgroup analysis with the kurtosis model, ADC in non-LS group significantly decreased between UCCAO and BCCAO but not in LS group. IVIM parameters at 11.7TMRI may help us to detect the subtle ischemic change; in particular, with the kurtosis model.

AB - This study aimed to investigate whether intravoxel incoherent motion (IVIM) parameters can identify ischemic changes in the rat cerebral cortex using a preclinical ultra-high-field 11.7Tesla magnetic resonance imaging (11.7TMRI) scanner. In nine female Wistar rats (eight weeks old), diffusion-weighted imaging (DWI) for IVIM analysis was successfully performed before (Pre) and after unilateral (UCCAO) and bilateral (BCCAO) common carotid artery occlusion. From the acquired DWI signals averaged in six regions of interest (ROI) placed on the cortex, volume fraction of perfusion compartment (F), pseudo diffusion coefficient (D*), FxD* and apparent diffusion coefficient (ADC) were determined as IVIM parameters in the following three DWI signal models: the bi-exponential, kurtosis, and tri-exponential model. For a subgroup analysis, four rats that survived two weeks after BCCAO were assigned to the long survival (LS) group, whereas the non-LS group consisted of the remaining five animals. Each IVIM parameter change among three phases (Pre, UCCAO and BCCAO) was statistically examined in each ROI. Then, the change in each rat group was also examined for subgroup analysis. All three models were able to identify cerebral ischemic change and damage as IVIM parameter change among three phases. Furthermore, the kurtosis model could identify the parameter changes in more regions than the other two models. In the subgroup analysis with the kurtosis model, ADC in non-LS group significantly decreased between UCCAO and BCCAO but not in LS group. IVIM parameters at 11.7TMRI may help us to detect the subtle ischemic change; in particular, with the kurtosis model.

KW - WATER DIFFUSION

KW - BLOOD-FLOW

KW - INTRAVOXEL

KW - PERFUSION

KW - BRAIN

KW - MODEL

KW - DISEASE

KW - GLIOMAS

KW - TISSUE

U2 - 10.1038/s41598-020-65310-8

DO - 10.1038/s41598-020-65310-8

M3 - Journal article

C2 - 32439877

VL - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 8404

ER -

ID: 247980609