Comparison with Magnetic Resonance Three-Dimensional Sequence for Lumbar Nerve Root with Intervertebral Foramen

Article information

Asian Spine J. 2016;10(1):59-64
Publication date (electronic) : 2016 February 16
doi : https://doi.org/10.4184/asj.2016.10.1.59
1Division of Radiology and Nuclear Medicine, Sapporo Medical University Hospital, Sapporo, Japan.
2Department of Orthopedic Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.
3Department of Orthopedic Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Corresponding author: Tsuneo Takebayashi. Department of Orthopedic Surgery, Sapporo Medical University School of Medicine, South- 1, West-16, Chuo-ku, Sapporo 060-8543, Japan. Tel: +81-11-611-2111, Fax: +81-11-641-6026, takebaya@sapmed.ac.jp
Received 2015 February 11; Revised 2015 March 09; Accepted 2015 March 22.

Abstract

Study Design

Prospective study based on magnetic resonance (MR) imaging of the lumbar spinal root of the intervertebral foramen.

Purpose

This study was to compare MR three-dimensional (3D) sequences for the evaluation of the lumbar spinal root of the intervertebral foramen.

Overview of Literature

The diagnosis of spinal disorders by MR imaging is commonly performed using two-dimensional T1- and T2-weighted images, whereas 3D MR images can be used for acquiring further detailed data using thin slices with multi-planar reconstruction.

Methods

On twenty healthy volunteers, we investigated the contrast-to-noise ratio (CNR) of the lumbar spinal root of the intervertebral foramen with a 3D balanced sequence. The sequences used were the fast imaging employing steady state acquisition and the coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC). COSMIC can be used with or without fat suppression (FS). We compared these sequence to determine the optimized visualization sequence for the lumbar spinal root of the intervertebral foramen.

Results

For the CNR between the nerve root and the peripheral tissue, these were no significant differences between the sequences at the entry of foramen. There was a significant difference and the highest CNR was seen with COSMIC-FS for the intra- and extra-foramen.

Conclusions

In this study, the findings suggest that the COSMIC-FS sequences should be used for the internal or external foramen for spinal root disorders.

Introduction

Lumbar radiculopathy is classified by the site of its occurrence, which includes the lateral recess, intervertebral foramen, and external intervertebral foramen zones. Previous studies [123456] regarding diagnostic imaging techniques, including those for external intervertebral foramen lesions, which commonly prove as far-out-syndrome, have been reported [7]. However, because it can be difficult to diagnose these lesions by conventional magnetic resonance imaging (MRI), a more specific imaging technique is needed.

Common spinal MRI sequences include the two-dimensional (2D) T1- and T2-weighted sagittal and axial planes [36]. Cerebrospinal fluid (CSF) exhibits high signals, whereas the intradural nerves exhibit low signals on T2-weighted images. Three-dimensional (3D) MRI can be used to acquire detailed morphologic data because its settings can be adjusted to obtain thin slices with a high signal-to-noise ratio (SNR), and multiplanar reconstruction (MPR) allows images to be created from the original plane in either the coronal, sagittal, or oblique plane. It therefore enables observations from multiple directions [28910]. A technique called 3D fast-spin echo, which has been recently introduced, is effective for rendering nerve roots at high resolution, but the long acquisition time required for the imaging technique is a problem when patients are experiencing pain [611].

Furthermore, the gradient-echo sequence, with multiple echo collection, improves the T2 contrast between nerve roots and intervertebral foramen stenosis [1213]. The 3D balanced sequence renders the lumbar nerve roots with 3D collection performed over a short acquisition time [36141516]. Fast imaging employing steady state acquisition (FIESTA) is a 3D sequence with high fluid sensitivity that enables the high resolution of small intracranial structures and joints. It provides exquisite contrast that is ideally equated for visualization of the internal auditory canal. It is also ideally suited for T2 imaging through the cervical spine region. In contrast, coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC) uses a unique "pre" steady-state imaging technique to deliver optimized visualization of soft-tissue structures adjacent to bony structures. However, there are no reports describing which sequences are better-suited to rendering nerve roots in the intervertebral foramina. Our purpose in this study was to use FIESTA and COSMIC to investigate the rendering of intervertebral foramen nerve roots.

Materials and Methods

All subjects provided written informed consent to participate in this study, which was conducted with the approval of the ethics committee. We evaluated 20 healthy volunteers (13 males, 7 females; mean age, 44±7.3 years), who had no history of leg pain or lumbar surgery.

The equipment used was a Signa HDxt 1.5T (GE Healthcare, Milwaukee, WI, USA) with a spine coil. The 3D balanced sequences acquired were FIESTA and COSMIC. COSMIC can be used with or without fat suppression (FS). The parameters used in the present study are shown in Table 1.

Table 1

Scan parameters of FIESTA, COSMIC, and COSMIC-FS

Ziostation 2 (Ziosoft Inc., Tokyo, Japan) was used to create a MPR that followed the right L5 nerve root (Fig. 1). The nerve root and surrounding tissue signal intensities were measured by areas perpendicular to the L5 nerve root in the intervertebral foramen entrance, intervertebral foramen, and intervertebral foramen external zones (Fig. 2). The tissue or fluid adjacent to the nerve root was CSF in the intervertebral foramen entrance zone, the pedicle in the intervertebral foramen zone, and the fat in the intervertebral foramen external zone. The contrast-to-noise ratio (CNR) of these tissues with the nerve root was calculated and the results were compared by use of FIESTA, COSMIC, and COSMIC-FS sequences. The CNR was calculated from the following formula:

CNR=SI(root)-SI(peripheral)SD(peripheral)SI, signal intensity; SD, standard diviation.

Fig. 1

Multiplanar reconstruction of L5 nerve root with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS). (A) FIESTA, (B) COSMIC, (C) COSMIC-FS.

Fig. 2

Position of the region of interests (ROIs) and image of the investigation slice with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS). The mean value of the ROIs were measured in the root tissue, peripheral tissue, and standard deviation of peripheral tissue, respectively. The images of investigated slices for the entry of the foramen, intra-foramen, and extra-foramen with L5 nerve root are shown. ROIs of nerve root and cerebrospinal fluid for entry of foramen (A). ROIs of nerve root and pedicle for intra-foramen (B). ROIs of nerve root and sacral bone for extra-foramen (C).

The data were analyzed statistically by use of MedCalc ver. 10.2 (MedCalc software, Ostend, Belgium). The Wilcoxon signed rank test was used for significance testing. A p-value of <0.05 was considered to indicate statistical significance.

Results

No significant differences were observed in the CNR between the nerve root and CSF in the intervertebral foramen entrance zone as calculated by all of the sequences (Fig. 3). The CNR between the nerve root and pedicle of the vertebral arch in the intervertebral foramen (Fig. 4) and that between the nerve root and the fat in the intervertebral foramen zone tended to be the highest when measured by COSMIC-FS (Fig. 5).

Fig. 3

Contrast-to-noise ratio (CNR) of nerve root and cerebrospinal fluid (CSF) with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS) for the entry of foramen. The CNR between the nerve root and CSF with entry of foramen showed no significant difference between sequences.

Fig. 4

Contrast-to-noise ratio (CNR) of nerve root and pedicle with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS) for the intra-foramen. The CNR between the nerve root and pedicle at the intra-foramen were significantly different between sequences; the highest was COSMIC-FS (p<0.05).

Fig. 5

Contrast-to-noise ratio (CNR) of nerve root and fat with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS) for the extra-foramen. The CNR between the nerve root and fat at the extra-foramen were significantly different; the highest was COSMIC-FS (p<0.05).

Discussion

The diagnosis of nerve root compression and spinal canal stenosis by normal 2D lumbar vertebra MRI can be difficult. Furthermore, it is often challenging to identify the level responsible for certain conditions, such as epidural radiculopathy [3617].

In the present study, we compared extradural renderings of the nerve root by the FIESTA and COSMIC sequences. 3D sequences with high SNRs are excellent for detecting morphologic changes, and the high spatial resolution in these sequences makes MPR possible without degrading the image [181920]. SNR is equal to the ratio of the average signal intensity over the standard deviation of the noise and an important reference of MRI. Because of the contrast in the FIESTA, water components and blood appear as high signals, but the soft-tissue signals with short T2 values give a lower signal intensity [2122]. The CNR between the nerve root and CSF in the intervertebral foramen entrance zone showed no significant difference among these sequences and proved to be the same with each of them regarding the assessment of the intradural zone where CSF is present.

CNR is the relationship of signal intensity differences between two regions, scaled to image noise, and a summary of SNR and contrast. The FIESTA provided little contrast between the peripheral tissues and the nerve root and its structures, such as bone or intervertebral discs, and it was difficult to identify the nerve root. The COSMIC is performed before echo sampling reaches a steady state and exhibits greater soft-tissue contrast [2]. This improves the CNR and SNR of cervical-spine tissue including the spinal cord, vertebral discs, and nerve root canal, as well as the contrast between CSF and nerve roots [23]. In this study, in the comparison of COSMIC and COSMIC-FS on the intra- and extra-foramen, the CNR between the nerve root and peripheral tissue was significantly higher for COSMIC-FS than for COSMIC. Accordingly, COSMIC-FS appears to provide improved contrast between the nerve root and intervertebral disc and bone for distinguishing the nerve root from the intervertebral foramina and the outside of the intervertebral foramina. COSMIC-FS also appeared to exhibit improved rendering in the intervertebral foramen zone and intervertebral external zone, where epidural fat is present, because the concomitant use of FS made the inhibition of chemical shift artifacts possible. The results of our study suggest that either sequence is useful for detecting intradural lesions, and that COSMIC-FS is superior for detecting nerve root lesions that are adjacent to soft-tissue inside and outside the intervertebral foramina, where there is little water.

However, a number of limitations should be mentioned. First, because we targeted healthy volunteers with no lesions in the lumbar vertebrae, we did not examine the rendering of actual lesions such as intervertebral disc hernias. Second, we were not able to compare the images obtained with FIESTA and COSMIC under the same conditions because it was impossible to use FS with FIESTA in this study. Third, other 3D sequences could not be investigated because we were only able to investigate the sequences possible with the equipment available.

Conclusions

We investigated lumbar nerve root visualization by using two types of 3D sequences. These sequences gave favorable results in the intervertebral foramen entrance zone, and the COSMIC-FS gave favorable results in the intervertebral foramen and intervertebral external zones. In this study, it was suggested that the 3D COSMIC was a suitable sequence to visualize the intervertebral foramen for spinal root disorders.

Notes

Conflict of Interest: No potential conflict of interest relevant to this article was reported.

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Article information Continued

Fig. 1

Multiplanar reconstruction of L5 nerve root with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS). (A) FIESTA, (B) COSMIC, (C) COSMIC-FS.

Fig. 2

Position of the region of interests (ROIs) and image of the investigation slice with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS). The mean value of the ROIs were measured in the root tissue, peripheral tissue, and standard deviation of peripheral tissue, respectively. The images of investigated slices for the entry of the foramen, intra-foramen, and extra-foramen with L5 nerve root are shown. ROIs of nerve root and cerebrospinal fluid for entry of foramen (A). ROIs of nerve root and pedicle for intra-foramen (B). ROIs of nerve root and sacral bone for extra-foramen (C).

Fig. 3

Contrast-to-noise ratio (CNR) of nerve root and cerebrospinal fluid (CSF) with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS) for the entry of foramen. The CNR between the nerve root and CSF with entry of foramen showed no significant difference between sequences.

Fig. 4

Contrast-to-noise ratio (CNR) of nerve root and pedicle with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS) for the intra-foramen. The CNR between the nerve root and pedicle at the intra-foramen were significantly different between sequences; the highest was COSMIC-FS (p<0.05).

Fig. 5

Contrast-to-noise ratio (CNR) of nerve root and fat with fast imaging employing steady state acquisition (FIESTA), coherent oscillatory state acquisition for the manipulation of image contrast (COSMIC), and COSMIC-fat suppression (FS) for the extra-foramen. The CNR between the nerve root and fat at the extra-foramen were significantly different; the highest was COSMIC-FS (p<0.05).

Table 1

Scan parameters of FIESTA, COSMIC, and COSMIC-FS

Table 1

FIESTA, fast imaging employing steady state acquisition; COSMIC, coherent oscillatory state acquisition for the manipulation of image contrast; COSMIC-FS, COSMIC-fat suppression.