Direct quantification of optic nerve blood flow by 3D pseudo-continuous arterial spin labeling.


Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
01 Jan 2024
Historique:
received: 06 04 2023
revised: 24 10 2023
accepted: 09 11 2023
medline: 5 12 2023
pubmed: 13 11 2023
entrez: 12 11 2023
Statut: ppublish

Résumé

Blood perfusion of the optic nerve (ON) plays a key role in many optic neuropathies. Microvascular changes precede or accompany neuronal changes, and detecting these changes at an early stage may facilitate early treatment to avoid blindness. However, the quantification of ON blood perfusion remains a challenge. This study aimed to evaluate the viability of three-dimensional pseudocontinuous arterial spin labelling (3D-pCASL) MRI for the quantification of ON blood flow (BF). The ON segmentation was performed using nnFormer on a cohort of ten participants (4 males, 6 females, 25-59 years old). Subsequently, the mean BF of each ON segment was calculated using whole brain 3D-pCASL image data. The average ON-BF values of the left and right intraorbital segments, left and right intracanalicular segments, left and right intracranial segments, optic chiasma, and left and right optic tract were 41.308 mL/100 g/min, 43.281 mL/100 g/min, 53.188 mL/100 g/min, 57.202 mL/100 g/min, 45.089 mL/100 g/min, 49.554 mL/100 g/min, 42. 326 mL/100 g/min, 43.831 mL/100 g/min and 45.176 mL/100 g/min, respectively. The ON-BF correlated with cerebral BF (r = 0.503, p = 0.024). The 3D-pCASL can measure tissue microvascular blood perfusion in absolute quantitative units with good test-retest repeatability over a wide field of view and without restrictions on depth. The use of the nnFormer makes the measurement easy, objective and reproducible. The study showed that, 3D-pCASL may be a promising tool for detecting abnormal ON-BF. In particular, 3D-pCASL coupled with the nnFormer provides an objective, reproducible, and reliable method to quantify BF in ON.

Sections du résumé

BACKGROUND BACKGROUND
Blood perfusion of the optic nerve (ON) plays a key role in many optic neuropathies. Microvascular changes precede or accompany neuronal changes, and detecting these changes at an early stage may facilitate early treatment to avoid blindness. However, the quantification of ON blood perfusion remains a challenge. This study aimed to evaluate the viability of three-dimensional pseudocontinuous arterial spin labelling (3D-pCASL) MRI for the quantification of ON blood flow (BF).
NEW METHOD METHODS
The ON segmentation was performed using nnFormer on a cohort of ten participants (4 males, 6 females, 25-59 years old). Subsequently, the mean BF of each ON segment was calculated using whole brain 3D-pCASL image data.
RESULTS RESULTS
The average ON-BF values of the left and right intraorbital segments, left and right intracanalicular segments, left and right intracranial segments, optic chiasma, and left and right optic tract were 41.308 mL/100 g/min, 43.281 mL/100 g/min, 53.188 mL/100 g/min, 57.202 mL/100 g/min, 45.089 mL/100 g/min, 49.554 mL/100 g/min, 42. 326 mL/100 g/min, 43.831 mL/100 g/min and 45.176 mL/100 g/min, respectively. The ON-BF correlated with cerebral BF (r = 0.503, p = 0.024).
COMPARISON WITH EXISTING METHOD(S) CONCLUSIONS
The 3D-pCASL can measure tissue microvascular blood perfusion in absolute quantitative units with good test-retest repeatability over a wide field of view and without restrictions on depth. The use of the nnFormer makes the measurement easy, objective and reproducible.
CONCLUSIONS CONCLUSIONS
The study showed that, 3D-pCASL may be a promising tool for detecting abnormal ON-BF. In particular, 3D-pCASL coupled with the nnFormer provides an objective, reproducible, and reliable method to quantify BF in ON.

Identifiants

pubmed: 37952831
pii: S0165-0270(23)00226-1
doi: 10.1016/j.jneumeth.2023.110007
pii:
doi:

Substances chimiques

Spin Labels 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110007

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declared no potential conflicts of interest.

Auteurs

Qian Wang (Q)

Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Ligeng Li (L)

AnImage (Beijing) Technology Co., Ltd., Beijing, China.

Huaizhou Wang (H)

Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Ophthalmology & Visual Sciences Key Laboratory, China.

Weiwei Chen (W)

Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Ophthalmology & Visual Sciences Key Laboratory, China.

Bingbing Yang (B)

Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Xiaoxia Qu (X)

Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Yunxiao Sun (Y)

Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Ophthalmology & Visual Sciences Key Laboratory, China.

Zihan Chai (Z)

Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Ting Li (T)

Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Jianhong Chen (J)

Department of Gastroenterology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Gang Meng (G)

AnImage (Beijing) Technology Co., Ltd., Beijing, China.

Xiangyu Gong (X)

AnImage (Beijing) Technology Co., Ltd., Beijing, China.

Ningli Wang (N)

Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Ophthalmology & Visual Sciences Key Laboratory, China. Electronic address: wningli@vip.163.com.

Junfang Xian (J)

Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China. Electronic address: cjr.xianjunfang@vip.163.com.

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