Application of three-dimensional (3D) magnetic resonance (MR) Multi-Echo iN Steady-state Acquisition sequences in preoperative evaluation of lumbar disc herniation: a prospective study
Introduction
Lumbar disc herniation is one of the most common diseases in the middle-aged and elderly population (1). Although 40–80% of patients with lumbar disc herniation respond well to conservative treatment, some patients continue to experience radiculopathy symptoms (2,3). To eliminate radiculopathy symptoms, thorough preoperative radiologic evaluations, such as X-ray, computed tomography (CT), and magnetic resonance imaging (MRI) (4,5), are essential prior to the operation. Among such imaging modalities, MRI has the advantage of imaging paraspinal and intraspinal soft tissues, including herniated disc, thecal sac, ligaments, and so on, without radiation (6).
Conventional spinal MRI includes sagittal T1-weighed and T2-weighted scans, and axial T2-weighted scans with approximately 2–4 mm layer thickness for diagnosis and surgical planning (7). However, a recent study found that such magnetic resonance (MR) sequences are generally acquired with large slice thickness, which may miss small lesions. Such diagnostic MRIs are therefore inadequate to provide sufficient information, resulting in false-positive or false-negative diagnoses (7,8). Furthermore, thick slices may cause discontinuity in nerve roots imaging, thus reducing image quality for nerve roots compression. Although an intuitive solution is reducing layer thickness, such an approach prolongs the scan time and increases the possibility of motion artefacts.
Multi-Echo iN Steady-state Acquisition (MENSA) (9) is a novel acquisition technology based on 3-dimensional (3D) fast gradient echo sequence (FGRE) combined with spectral spatial RF (SSRF) to achieve selective water excitation. This method, which is mainly used for peripheral nerve and musculoskeletal imaging (10), improves the scanning efficiency also reduces the need for specific absorption rate (SAR).
Therefore, this study aimed to investigate the value of 3D MR examination in preoperative evaluation of lumbar disc herniation, and utilize MENSA to acquire images with higher resolution to identify herniated discs, hypertrophied ligaments, and compressed nerve roots, in a relatively short amount of scanning time. We present this article in accordance with the STROBE reporting checklist (available at https://qims.amegroups.com/article/view/10.21037/qims-23-1834/rc).
Methods
Study population
A total of 51 patients (17 males and 34 females, mean age 61.10±11.36 years, age range, 29–77 years) who were observed to have a herniated disc (detected by MR) and required surgery, were recruited between June 2021 to December 2021 (Figure 1). A cross-sectional study was conducted on these patients.
This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of West China Hospital of Sichuan University (approval No. 2021 Audit [1656] Number). Written informed consent was provided by every participant. Patients were recruited at the Orthopedics Outpatient Clinic. They were suspected of lumbar disc herniation and referred to the radiological department for further radiological evaluation. All the patients were selected according to the following inclusion criteria: (I) lumbar disc herniation confirmed by MRI scan; (II) had received surgery for lumbar disc herniation; and (III) no contraindications to MRI, including pregnancy or breast feeding, claustrophobia, and MRI-incompatible implants. The exclusion criteria were as follows: (I) refusal to participate in this research; (II) unable to complete the MRI scan; (III) no surgery after the MRI scan; and (IV) previous lumbar operations.
Image acquisition
The lumbar MR scans were acquired using a 3.0T MRI scanner (Primer; GE Medical Systems, Milwaukee, WI, USA) with a 60-channel spine coil. The regions of interest (ROIs) were manually measured in post-processing software, including segments with lesions from L1 vertebra to S1 vertebra. The ROIs were plotted for signal and standard deviation (SD) of background noise measurement, including nerve roots, intervertebral disc (IVD), ligamentum flavum (LF), bone, soft tissue, and air (Figure 2). The ROI areas were 20±1 mm2. First, all lumbar spine MR examinations were performed on the basis of conventional lumbar spine MR scans. The common sequences were performed, including sagittal T2-weighted imaging (T2WI) Ideal-flex, sagittal T1-weighted imaging (T1WI) fast spin echo (FSE), and axial T2WI FSE. Then, the level of disc herniation was identified based on these sequences. Lastly, to evaluate herniated disc level, 3 additional sequences, including T2 cube, T2 cube stir, and MENSA, were performed. The Cube group was scanned using the 3D-FSE-Cube sequence, the Cube stir group was scanned using the 3D-FSE-Cube Short Tau Inversion Recovery (STIR), and the MENSA group was scanned using the MENSA sequence.
The scan was centered at the level of the herniated disc, covering the entire upper and lower vertebral bodies. The repetition time/echo time (TR/TE), flip angle, bandwidth, and matrix were different among the 3 sequences, whereas the field of view (FOV), slice thickness, and voxel volumes remained identical (Table 1).
Table 1
Parameters | T2 cube | T2 cube stir | MENSA |
---|---|---|---|
TR/TE (ms) | 3,021/120 | 3,031/90 | 15.6/5.2; 10.4 |
Flip angle (°) | 90 | 90 | 35 |
Bandwidth (kHz) | 62.5 | 62.5 | 31.25 |
Field of view (cm) | 22.0×22.0 | 22.0×22.0 | 22.0×22.0 |
Matrix | 320×256 | 384×288 | 272×272 |
Slice thickness (mm) | 0.8 | 0.8 | 0.8 |
Voxel volume (mm3) | 0.8×0.8×0.8 | 0.8×0.8×0.8 | 0.8×0.8×0.8 |
Scanning time (min) | 4:58 | 4:53 | 4:55 |
3-slice averages in multiple planes were used to obtain 0.39×0.39 in-plane resolution and 0.8 mm sections. MR, magnetic resonance; MENSA, Multi-Echo iN Steady-state Acquisition; TR, repetition time; TE, echo time.
Evaluation of the image quality
Quantitative assessment
The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were used to evaluate the image quality. The SNR was calculated by dividing the mean signal by the mean SD of background noise:
and the CNR was calculated as the absolute value of the difference between the corresponding SNR values (11,12):
where ROI 1 represents nerve root, LF, bone, IVD, or soft tissue; ROI 2 represents air; ROI 3 represents nerves, IVD, or ligaments; ROI 4 represents soft tissue.
For T2 cube, T2 cube stir, or MENSA, the same ROI at the level of the herniated disc, covering the entire upper and lower vertebral bodies was selected. The ROI of signal and noise were in average 2 mm in diameter, respectively. For the SNR and CNR calculation, 6 points were chosen including nerve root, IVD, LF, bone, soft tissue, and air (Figure 2).
Qualitative assessment
A 5-point scale (Table 2) was used to evaluate the diagnostic value of the images acquired via 3 MRI sequences. The structure display sharpness was defined as the contrast between tissue structures, which can effectively display the herniated disc, nerve root, LF, bone, and soft tissue. The overall tissue contrast represented the inter-tissue signal contrast of herniated disc, nerve root, LF, bone, and soft tissue, and whether the tissue level is clear. The quality of reformats indicated the image quality of the coronal and sagittal images reoriented from the original axial images. Display of lesions (diagnostic certainty) represented the relative spatial relationships of spinal nerves, herniated discs, LF, and bone that are determined based on transverse or reconstructed images. For each sequence, both original and reconstructed images were provided for 2 senior readers (radiologists D.W. and W.Y., with 8 and 12 years of clinical experience, respectively) in random order. The 2 radiologists rated the images independently in 2 sessions at the interval of 4 weeks. Double-blind diagnosis was used to observe the nerve root compression in the 3 groups of images. The diagnostic accuracy of the 3 sequences was compared with the intraoperative results.
Table 2
Rating | Structure display sharpness | Overall tissue contrast | Quality of reformats | Display of lesions (diagnostic certainty/overall image impression) |
---|---|---|---|---|
1 | Not visible/distinguishable | No contrast | Unable to reconstruct image | Not acceptable/no diagnostic value |
2 | Barely visible | Limited contrast | Poor quality | Very limited diagnostic value |
3 | Adequately visible | Certain contrast | Relatively good | Acceptable for most diagnoses |
4 | Good visibility | Clear | Good | Good for majority of diagnoses |
5 | Excellent visibility | Very clear | Very good | Optimal |
Statistical analysis
All statistical analyses were performed using the software SPSS 21.0 (IBM Corp., Armonk, NY, USA). The SNR and CNR of the T2 cube, T2 cube stir, and MENSA groups were examined for normality and subjected to the Chi-squared test. One-way analysis of variance (ANOVA) was utilized to evaluate differences in SNR and CNR across the 3 groups, and least significant difference (LSD) post hoc tests were employed for between-group comparisons. Kappa test was used to evaluate the consistency of the 2 readers’ scores. Friedman test was used to compare the subjective scores of image quality. The scoring system of Fleiss et al. (13) was utilized in the analysis of our results (good >0.75, fair 0.4–0.75, poor <0.4). A P value <0.05 was deemed a statistically significant difference in this investigation, and all tests were 2-sided.
Results
Of 53 patients examined in the study period, the data of 2 patients (both males, aged 63 and 67 years, respectively) was excluded due to incomplete scan or poor image quality. Therefore, 51 patients (mean age =61.10±11.36 years, 17 males and 34 females) ranging from 29 to 77 years old were included.
Objective evaluation of image quality
The measurement data of the 3 groups were analyzed by variance, and the homogeneity of variance test was performed first, which was consistent with normal distribution and homogeneity of variance (P<0.05).
SNR
Figure 3 and Table 3 indicate that the nerve root SNR (18.00±8.07) in the MENSA group did not statistically differ from the SNR (15.94±10.92) in the Cube stir group (P=0.2), but they were both significantly higher than that (10.25±4.42) in the Cube group (P<0.01). The IVD (13.03±4.95) and LF (17.68±13.67) SNRs of the MENSA group were significantly higher than those of the Cube stir (3.40±0.95, 4.22±2.84) and Cube (2.68±0.92, 3.83±2.30) groups (P<0.01). Soft tissue SNR (14.89±8.18) in the MENSA group was significantly greater than that (6.80±2.72) in the Cube stir group (P<0.01), whereas soft tissue SNR in the Cube stir group was significantly greater than that (3.81±1.57) in the Cube group (P<0.01).
Table 3
Ranking | 1 | 2 | 3 |
---|---|---|---|
Nerve SNR | MENSA | Cube stir | Cube |
P value | 0.2 | <0.01 | – |
Disc SNR | MENSA | Cube stir | Cube |
P value | <0.01* | 0.2 | – |
Ligament SNR | MENSA | Cube stir | Cube |
P value | <0.01* | 0.8 | – |
Bone SNR | Cube | Cube stir | Mensa |
P value | 0.8 | <0.01 | – |
Soft tissue SNR | MENSA | Cube stir | Cube |
P value | <0.01* | <0.01 | – |
Nerve CNR | Cube | Mensa | Cube stir |
P value | <0.01* | <0.01 | – |
Disc CNR | MENSA | Cube | Cube stir |
P value | 0.5 | 0.03 | – |
Ligament CNR | MENSA | Cube | Cube stir |
P value | 0.03* | <0.01 | – |
MENSA had the highest nerve/intervertebral disc/ligament/soft tissue SNR and intervertebral disc/ligament CNR, but also the lowest bone SNR and the secondly highest nerve CNR. *, the difference between this group and the other 2 groups are statistically significant (P<0.05). SNR, signal-to-noise ratio; CNR, contrast-to-noise ratio; MENSA, Multi-Echo iN Steady-state Acquisition; Stir, Short Tau Inversion Recovery.
CNR
The nerve root CNR of the Cube group (102.88±73.19) was significantly greater than the CNR of the MENSA group (55.98±25.26, P<0.01), which was significantly higher than the CNR of the Cube Stir group (29.42±16.22, P<0.01). The IVD CNRs were significantly higher in the MENSA and Cube groups than the CNR in the Cube Stir group. The CNR of LF was significantly greater in the MENSA group (37.71±16.87) compared to the Cube group (29.76±25.73, P=0.03), which was significantly greater than that in the Cube Stir group (10.50±7.75, P<0.01).
Subjective evaluation of image quality
Diagnostic value
Two doctors, who were fellowship-trained, full-time musculoskeletal radiologists with 6 years of experience in MRI, were blinded to the surgical reports and unaware of the subjects’ medical history. In the consistency test scores in 3 groups of images given by the 2 doctors, the Kappa values were all greater than 0.73, and most of them were greater than 0.75. The P values of the test were all less than 0.05. Such results indicate that the consistency test results of the 2 doctors were statistically significant and consistent (Table 4). There were statistically significant differences in the structure display sharpness, overall tissue contrast, quality of reformats and display of lesions, and the MENSA group performed better than the Cube group and the Cube Stir group across these features (all P<0.01). MENSA sequence ranked highest among the 3 sequences with 94.1% diagnostic accuracy (Table 5). The pairwise comparison of the 3 groups of images had statistical significance (all P<0.01).
Table 4
Item | T2 cube | T2 cube stir | MENSA | χ2 | P |
---|---|---|---|---|---|
Structure display sharpness | |||||
Reviewer 1 | 3.75±0.48 | 4.06±0.42* | 4.80±0.40* | 73.12 | <0.01 |
Reviewer 2 | 3.65±0.48 | 3.96±0.45* | 4.84±0.37* | 77.6 | <0.01 |
Kappa | 0.824 | 0.756 | 0.731 | ||
95% CI | 0.665–0.983 | 0.540–0.972 | 0.484–0.978 | ||
P value | <0.01 | <0.01 | <0.01 | ||
Overall tissue contrast | |||||
Reviewer 1 | 3.75±0.48 | 3.53±0.54 | 4.67±0.48* | 66.74 | <0.01 |
Reviewer 2 | 3.75±0.44 | 3.55±0.54 | 4.67±0.48* | 68.6 | <0.01 |
Kappa | 0.806 | 0.924 | 0.824 | ||
95% CI | 0.628–0.984 | 0.820–1.000 | 0.657–0.991 | ||
P value | <0.01 | <0.01 | <0.01 | ||
Quality of reformats | |||||
Reviewer 1 | 3.51±0.54 | 3.61±0.49 | 4.53±0.50* | 59.66 | <0.01 |
Reviewer 2 | 3.41±0.50 | 3.51±0.50 | 4.59±0.50* | 66.06 | <0.01 |
Kappa | 0.845 | 0.803 | 0.881 | ||
95% CI | 0.704–0.986 | 0.642–0.964 | 0.752–1.0000 | ||
P value | <0.01 | <0.01 | <0.01 | ||
Display of lesions | |||||
Reviewer 1 | 3.29±0.46 | 3.29±0.46 | 4.41±0.50* | 72.01 | <0.01 |
Reviewer 2 | 3.29±0.46 | 3.24±0.428 | 4.43±0.50* | 75.08 | <0.01 |
Kappa | 0.811 | 0.749 | 0.799 | ||
95% CI | 0.635–0.987 | 0.543–0.854 | 0.632–0.966 | ||
P value | <0.01 | <0.01 | <0.01 |
*, the difference between this group and the other two groups are statistically significant (P<0.05). CI, confidence interval; Stir, Short Tau Inversion Recovery; MENSA, Multi-Echo iN Steady-state Acquisition.
Table 5
Group | Positive predictor | Intraoperative outcome | Accuracy rate | 95% CI | χ2 | P value |
---|---|---|---|---|---|---|
T2 cube | 27 | 51 | 52.9%* | 38.7–67.1% | 22.92 | <0.01 |
T2 cube stir | 39 | 51 | 76.5%* | 64.9–88.1% | ||
MENSA | 48 | 51 | 94.1%* | 87.6–100% |
*, indicates that the difference between this group and the other 2 groups are statistically significant (P<0.05). In pairwise comparison, the corrected P value is 0.016. CI, confidence interval; Stir, Short Tau Inversion Recovery; MENSA, Multi-Echo iN Steady-state Acquisition.
Discussion
This study compared image quality and diagnosing IVD pathology compression using MENSA, Cube, and Cube stir sequences. MENSA produced higher quality images, higher SNR, and higher CNR than the other 2 sequences.
Several guidelines have suggested using MRI as an essential diagnostic tool, particularly for patients with radiculopathy or low back pain with red flag symptoms (14). The majority of scans were performed to detect possible lumbar degenerative illnesses, with an emphasis on disc herniations, neuroforaminal compression, and spinal stenosis. However, no standard for each specific components of a spine MRI scan has been defined. The European Society of Musculoskeletal Radiology (ESSR) provided general protocols, although it did not specify whether 2-dimensional (2D) or 3D sequences were preferred (15). Conventionally, preoperative MRI images of the lumbar spine only display a small portion of the nerve root in the spinal canal and the intervertebral foramen, which makes the structure and course of nerve roots difficult to capture. Thus, conventional preoperative 2D MRI sequences appear to be inadequate for nerve root compression detection.
In recent years, 3D MRI has been widely applied for suspected IVD pathology diagnosis (6). 3D MR neurography has been utilized to examine the whole nerve roots by enhancing the contrast between the nerve tissue and its surrounding tissues. It provides more detailed anatomical information and therefore assists to confirm diagnosis and surgical treatment plans. Pre-operative 3D MR examination accurately detects how the nerve roots are compressed, the location of the herniated disc, and its relation to the nerve roots and dura mater (16). Accurate pre-operative imaging is the prerequisite for precise diagnosis and pre-operative preparation. However, different MR sequences have shown varied image quality. Thus, it is imperative to identify which sequence is more suitable for detecting nerve compression due to lumbar degenerative changes.
This study was performed to compare the diagnostic values of 3 different 3D MR sequences (Cube, Cube stir, and MENSA) in detecting abnormalities of the nerve structure caused by lumbar degeneration. Cube is a fast-recovery 3D FSE technique with an extended echo-train acquisition (XETA) that uses variable flip angles to constrain T2 decay throughout a lengthy echo train, allowing for the collection of T2WI with little blurring (17). Enabling STIR-produced pulse on cube can suppress the signal from tissues with a short T1 relaxation time comparable to fat, allowing imaging of peripheral nerves and the spine (18). The 3D-T2-Cube retains the benefits of 2D-FSE while addressing its shortcomings. However, the stir lipid suppression technique weakens the fat signal and reduces the SNR of other tissues, so that only the nerve roots are displayed more clearly, whereas the surrounding tissues are poorly displayed and cannot distinguish the nerve roots, IVDs, yellow ligaments, and other tissues well and cannot form a good inter-tissue contrast.
MENSA uses a similar technique to Double Echo Steady State (DESS) (11). MENSA generates free induction delay (FID)- and echo-like signals separately from steady-state free precession utilizing a prolonged and uneven readout gradient. It then combines the signals pixel by pixel, hence improving the SNR. MENSA’s contrast is distinctive since it combines aspects of fast imaging with steady state precession (FISP)’s FID-signal and PSIF’s echo-signal. Fluid that reflects T2/T1 weighting from the backward-running FISP (PSIF) echo signal is especially bright. Bone looks relatively dark due to T2 dephasing from trabeculae, revealing the susceptibility sensitivity of the FISP/FID component (19,20). Using MENSA for neuroimaging provides more resistance to blood flow’s high signal interference than other conventional sequences. In addition, MENSA reduced the effects of fat distortion and nerve distortion in conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) scans and produced thin, noninvasive MRI pictures of nerves and ligaments. MENSA provides a high SNR for not only nerve roots, but also for IVD, LF, and soft tissue (10). The enhanced contrast between tissues produced by MENSA enables more detailed visualization of lesions and its surrounding structures. Furthermore, MENSA sequence could be reconstructed in 3D, providing a clear illustration of the compression of nerve roots and IVDs. The high spatial resolution and isovolumetric acquisition without gaps enables a full 360° angulation along anatomical structures such as the nerve roots (21) and are particularly useful in evaluating complex anatomy as in IVD herniation (22).
This study validates theoretical advantages of the MENSA sequence over conventional Cube and Cube stir sequences mentioned above. Our data demonstrated that MENSA sequence has a superior SNR to the Cube and Cube stir sequences in nerve, IVD, LF, and soft tissue. Also, the MENSA sequence has superior CNR of LF and IVD compared to soft tissue. Besides, the MENSA sequence had considerably higher subjective scores for IVD, nerve root, LF, bone, soft tissue display clarity, overall tissue contrast, quality of reformats, and relevance of disc herniation than the other 2 sequences.
Although the SNR of bone in the MENSA sequence was lower than that in Cube and Cube stir, this was determined by the characteristics of the MENSA sequence itself. Bone of the MENSA sequence looks relatively dark due to T2 dephasing from trabeculae, revealing the susceptibility sensitivity of the FISP/FID component. The CNR of nerve root in the MENSA group was lower than that in the Cube group, because of the calculation of CNR, the reference tissue was the signal value of soft tissue. This study choses soft tissue as the background reference. In the MENSA sequence, soft tissue showed a slightly higher signal, which was not much different from the signal of nerve root. In the Cube group, the soft tissue showed slightly lower signals, and the signals were quite different from those of nerve root. However, the nerve root is adjacent to the IVD and bone, so even if the CNR of MENSA is smaller than that of the muscle, it will not affect the contrast between the nerve root and the surrounding tissue.
Therefore, according to the comprehensive judgment of SNR, CNR, diagnostic accuracy, and subjective image score, the MENSA sequence has obvious advantages over the Cube and Cube stir sequences in nerve root display and comparison between nerve root and surrounding tissue.
This study has serval limitations. First, due to the absence of a prior sample size estimation and relatively small sample size, the present results may not be conclusive due to insufficient power. Second, the images may have had significant motion artefacts when scanning period was prolonged. This study verified that MENSA sequence can clearly display nerve roots, herniated disc, and other structures, and only MENSA sequence can be scanned in clinical examination to reduce the examination time of patients. Third, MENSA sequence needs to be used in conjunction with conventional MR scan; it cannot be used without standard turbo spin-echo (TSE) images.
Conclusions
Preoperative 3D MRI MENSA sequence is able to effectively depict the nerve roots and offers desirable contrast between the nerve roots, LF, bone, and IVDs. It benefits patients with lumbar degeneration since it provides more detailed tissue information, therefore enables more solid understanding of disc herniation and compression of adjacent tissues when developing preoperative surgical strategies.
Acknowledgments
Funding: This work was supported by
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://qims.amegroups.com/article/view/10.21037/qims-23-1834/rc
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-23-1834/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of West China Hospital of Sichuan University (approval No. 2021 Audit [1656] Number). Written informed consent was provided by every participant.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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