Evaluation of image quality of diffusion weighted readout segmentation of long variable echo-trains MR pulse sequence for lumbosacral nerve imaging at 3T.

Magnetic resonance imaging diffusion weighted imaging spine

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
01 Jan 2023
Historique:
received: 26 02 2022
accepted: 08 10 2022
entrez: 9 1 2023
pubmed: 10 1 2023
medline: 10 1 2023
Statut: ppublish

Résumé

Limited magnetic resonance (MR) pulse sequences facilitate lumbosacral nerve imaging with acceptable image quality. This study aimed to evaluate the impact of parameter modification for Diffusion Weighted Image (DWI) using Readout Segmentation of Long Variable Echo-trains (RESOLVE) sequence with opportunities for improving the visibility of lumbosacral nerves and image quality. Following ethical approval and acquisition of informed consent, imaging of an MR phantom and twenty healthy volunteers (n=20) was prospectively performed with 3T MRI scanner. Acquired sequences included standard two-dimensional (2D) turbo spin echo sequences and readout-segmented echo-planar imaging (EPI) DWI-RESOLVE using three different b-values b-50, b-500 and b-800 s/mm Phantom images revealed higher SNR for images with low b-values with 206.1 (±10.9), 125.1 (±45.2) and 59.2 (±17.8) for DWI-RESOLVE images acquired at b50, b500 and b800, respectively. Comparable results were found for SNR, ADC and nerve size across normal right and left sided for healthy volunteer images. The SNR findings for b-50 images were higher than b-500 and b-800 images for healthy volunteer images. The qualitative findings ranked images acquired using b-50 and b-500 images significantly higher than corresponding b-800 images (P<0.05). Inter and intra-observer agreements for evaluation across all b-values ranged from 0.59 to 0.81 and 0.83 to 0.92, respectively. The modified DWI-RESOLVE images facilitated visualization of the normal lumbosacral nerves with acceptable image quality, which support the clinical applicability of this sequence.

Sections du résumé

Background UNASSIGNED
Limited magnetic resonance (MR) pulse sequences facilitate lumbosacral nerve imaging with acceptable image quality. This study aimed to evaluate the impact of parameter modification for Diffusion Weighted Image (DWI) using Readout Segmentation of Long Variable Echo-trains (RESOLVE) sequence with opportunities for improving the visibility of lumbosacral nerves and image quality.
Methods UNASSIGNED
Following ethical approval and acquisition of informed consent, imaging of an MR phantom and twenty healthy volunteers (n=20) was prospectively performed with 3T MRI scanner. Acquired sequences included standard two-dimensional (2D) turbo spin echo sequences and readout-segmented echo-planar imaging (EPI) DWI-RESOLVE using three different b-values b-50, b-500 and b-800 s/mm
Results UNASSIGNED
Phantom images revealed higher SNR for images with low b-values with 206.1 (±10.9), 125.1 (±45.2) and 59.2 (±17.8) for DWI-RESOLVE images acquired at b50, b500 and b800, respectively. Comparable results were found for SNR, ADC and nerve size across normal right and left sided for healthy volunteer images. The SNR findings for b-50 images were higher than b-500 and b-800 images for healthy volunteer images. The qualitative findings ranked images acquired using b-50 and b-500 images significantly higher than corresponding b-800 images (P<0.05). Inter and intra-observer agreements for evaluation across all b-values ranged from 0.59 to 0.81 and 0.83 to 0.92, respectively.
Conclusions UNASSIGNED
The modified DWI-RESOLVE images facilitated visualization of the normal lumbosacral nerves with acceptable image quality, which support the clinical applicability of this sequence.

Identifiants

pubmed: 36620175
doi: 10.21037/qims-22-191
pii: qims-13-01-196
pmc: PMC9816736
doi:

Types de publication

Journal Article

Langues

eng

Pagination

196-209

Informations de copyright

2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-22-191/coif). The authors have no conflicts of interest to declare.

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Auteurs

Osamah M Abdulaal (OM)

Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Madina, Saudi Arabia.
Diagnostic Imaging, School of Medicine, University College Dublin, Dublin, Ireland.

Peter J MacMahon (PJ)

Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland.
School of Medicine, University College Dublin, Dublin, Ireland.

Louise Rainford (L)

Diagnostic Imaging, School of Medicine, University College Dublin, Dublin, Ireland.

Andrea Cradock (A)

Diagnostic Imaging, School of Medicine, University College Dublin, Dublin, Ireland.

Dearbhail O'Driscoll (D)

Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland.

Marie Galligan (M)

Diagnostic Imaging, School of Medicine, University College Dublin, Dublin, Ireland.

Sultan A Alshoabi (SA)

Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Madina, Saudi Arabia.

Walaa Alsharif (W)

Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Madina, Saudi Arabia.

Allison McGee (A)

Diagnostic Imaging, School of Medicine, University College Dublin, Dublin, Ireland.

Classifications MeSH