Multiparametric flow analysis using four-dimensional flow magnetic resonance imaging can detect cerebral hemodynamic impairment in patients with internal carotid artery stenosis.


Journal

Neuroradiology
ISSN: 1432-1920
Titre abrégé: Neuroradiology
Pays: Germany
ID NLM: 1302751

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 14 03 2020
accepted: 21 05 2020
pubmed: 11 6 2020
medline: 8 7 2021
entrez: 11 6 2020
Statut: ppublish

Résumé

MRI-based risk stratification should be established to identify patients with internal carotid artery stenosis (ICS) who require further PET or SPECT evaluation. This study assessed whether multiparametric flow analysis using time-resolved 3D phase-contrast (4D flow) MRI can detect cerebral hemodynamic impairment in patients with ICS. This retrospective study analyzed 26 consecutive patients with unilateral ICS (21 men; mean age, 71 years) who underwent 4D flow MRI and acetazolamide-stress brain perfusion SPECT. Collateral flow via the Willis ring was visually evaluated. Temporal mean flow volume rate (Net), pulsatile flow volume (ΔV), and pulsatility index (PI) at the middle cerebral artery were measured. Cerebral vascular reserve (CVR) was calculated from the SPECT dataset. Patients were assigned to the misery perfusion group if the CVR was < 10% and to the nonmisery perfusion group if the CVR was ≥ 10%. Parameters showing a significant difference in both groups were statistically evaluated. Affected side ΔV, ratio of affected to contralateral side Net (rNet), and ratio of affected to contralateral side ΔV were significantly correlated to CVR (p = 0.030, p = 0.010, p = 0.015, respectively). Absence of retrograde flow at the posterior communicating artery was observed in the misery perfusion group (p = 0.020). Combined cut-off values of the affected side ΔV (0.18 ml) and rNet (0.64) showed a sensitivity and specificity of 100% and 77.8%, respectively. Multiparametric flow analysis using 4D flow MRI can detect misery perfusion by comprehensively assessing blood flow data, including blood flow volume, pulsation, and collateral flow.

Identifiants

pubmed: 32518970
doi: 10.1007/s00234-020-02464-2
pii: 10.1007/s00234-020-02464-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1421-1431

Subventions

Organisme : Japan Society for the Promotion of Science
ID : 17K18160
Organisme : Japan Society for the Promotion of Science
ID : 19K17151
Organisme : Japan Society for the Promotion of Science
ID : 19K08186
Organisme : Hitachi Global Foundation
ID : 1309

Auteurs

Takahiro Ando (T)

Department of Radiology, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan. s07008ta@gmail.com.

Tetsuro Sekine (T)

Department of Radiology, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.

Yasuo Murai (Y)

Department of Neurological Surgery, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.

Erika Orita (E)

Department of Radiology, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.

Ryo Takagi (R)

Department of Radiology, Nihon University School of Medicine, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo, 101-8309, Japan.

Yasuo Amano (Y)

Department of Radiology, Nihon University School of Medicine, 1-6 Surugadai, Kanda, Chiyoda-ku, Tokyo, 101-8309, Japan.

Kotomi Iwata (K)

Department of Radiology, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.

Masatoki Nakaza (M)

Department of Radiology, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.

Masashi Ogawa (M)

Department of Radiology, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.

Makoto Obara (M)

Philips Electronics Japan Healthcare, 2-13-37 Kounan, Minato-ku, Tokyo, 108-8507, Japan.

Shin-Ichiro Kumita (SI)

Department of Radiology, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.

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Classifications MeSH