Reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) for evaluating interstitial fluid diffusivity and glymphatic function: CHanges in Alps index on Multiple conditiON acquIsition eXperiment (CHAMONIX) study.


Journal

Japanese journal of radiology
ISSN: 1867-108X
Titre abrégé: Jpn J Radiol
Pays: Japan
ID NLM: 101490689

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 12 06 2021
accepted: 29 07 2021
pubmed: 15 8 2021
medline: 3 2 2022
entrez: 14 8 2021
Statut: ppublish

Résumé

The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method was developed to evaluate the brain's glymphatic function or interstitial fluid dynamics. This study aimed to evaluate the reproducibility of the DTI-ALPS method and the effect of modifications in the imaging method and data evaluation. Seven healthy volunteers were enrolled in this study. Image acquisition was performed for this test-retest study using a fixed imaging sequence and modified imaging methods which included the placement of region of interest (ROI), imaging plane, head position, averaging, number of motion-proving gradients, echo time (TE), and a different scanner. The ALPS-index values were evaluated for the change of conditions listed above. This test-retest study by a fixed imaging sequence showed very high reproducibility (intraclass coefficient = 0.828) for the ALPS-index value. The bilateral ROI placement showed higher reproducibility. The number of averaging and the difference of the scanner did not influence the ALPS-index values. However, modification of the imaging plane and head position impaired reproducibility, and the number of motion-proving gradients affected the ALPS-index value. The ALPS-index values from 12-axis DTI and 3-axis diffusion-weighted image (DWI) showed good correlation (r = 0.86). Also, a shorter TE resulted in a larger value of the ALPS-index. ALPS index was robust under the fixed imaging method even when different scanners were used. ALPS index was influenced by the imaging plane, the number of motion-proving gradient axes, and TE in the imaging sequence. These factors should be uniformed in the planning ALPS method studies. The possibility to develop a 3-axis DWI-ALPS method using three axes of the motion-proving gradient was also suggested.

Identifiants

pubmed: 34390452
doi: 10.1007/s11604-021-01187-5
pii: 10.1007/s11604-021-01187-5
pmc: PMC8803717
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

147-158

Subventions

Organisme : kakenhi
ID : 21K07563

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2021. The Author(s).

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Auteurs

Toshiaki Taoka (T)

Department of Innovative Biomedical Visualization (iBMV), Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8550, Japan. ttaoka@med.nagoya-u.ac.jp.
Department of Radiology, Nagoya University, Nagoya, Aichi, Japan. ttaoka@med.nagoya-u.ac.jp.

Rintaro Ito (R)

Department of Innovative Biomedical Visualization (iBMV), Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8550, Japan.
Department of Radiology, Nagoya University, Nagoya, Aichi, Japan.

Rei Nakamichi (R)

Department of Radiology, Nagoya University, Nagoya, Aichi, Japan.

Koji Kamagata (K)

Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Mayuko Sakai (M)

Canon Medical Systems Corporation, Otawara, Japan.

Hisashi Kawai (H)

Department of Radiology, Aichi Medical University, Nagakute, Japan.

Toshiki Nakane (T)

Department of Radiology, Nagoya University, Nagoya, Aichi, Japan.

Takashi Abe (T)

Department of Radiology, Nagoya University, Nagoya, Aichi, Japan.

Kazushige Ichikawa (K)

Department of Radiological Technology, Nagoya University Hospital, Nagoya, Aichi, Japan.

Junko Kikuta (J)

Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Shigeki Aoki (S)

Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Shinji Naganawa (S)

Department of Radiology, Nagoya University, Nagoya, Aichi, Japan.

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