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Open Access 30.01.2024 | Original Article

Detection of Spinal Cord Multiple Sclerosis Lesions Using a 3D-PSIR Sequence at 1.5 T

verfasst von: Sönke Peters, Fernando Bueno Neves, Monika Huhndorf, Friederike Gärtner, Klarissa Stürner, Olav Jansen, Mona Salehi Ravesh

Erschienen in: Clinical Neuroradiology

Abstract

Purpose

Multiple sclerosis (MS) is a prevalent autoimmune inflammatory disease. Besides cerebral manifestations, an affection of the spinal cord is typical; however, imaging of the spinal cord is difficult due to its anatomy. The aim of this study was to assess the diagnostic value of a 3D PSIR pulse sequencing at a 1.5 T magnetic field strength for both the cervical and thoracic spinal cord.

Methods

Phase sensitive inversion recovery (PSIR), short tau inversion recovery (STIR) and T2-weighted (T2-w) images of the spinal cord of 50 patients were separately evaluated by three radiologists concerning the number and location of MS lesions. Furthermore, lesion to cord contrast ratios were determined for the cervical and thoracic spinal cord.

Results

Of the lesions 54.81% were located in the cervical spinal cord, 42.26% in the thoracic spinal cord and 2.93% in the conus medullaris. The PSIR images showed a higher sensitivity for lesion detection in the cervical and thoracic spinal cord (77.10% and 72.61%, respectively) compared to the STIR images (58.63% and 59.10%, respectively) and the T2-w images (59.95% and 59.52%, respectively). The average lesion to cord contrast ratio was significantly higher in the PSIR images compared to the STIR images (p < 0.001) and the T2-w images (p < 0.001).

Conclusion

Evaluation of the spinal cord with a 3D PSIR sequence at a magnetic field strength of 1.5 T is feasible with a high sensitivity for the detection of spinal MS lesions for the cervical as well as the thoracic segments. In combination with other pulse sequences it might become a valuable addition in an advanced imaging protocol.
Hinweise

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Abkürzungen
CE
Contrast-enhanced
CIS
Clinically isolated syndrome
CNS
Central nervous system
CR lesion/cord
Lesion:cord contrast ratio
EDSS
Expanded disability status scale
FA
Flip angle
FOV
Field of view
ICC
Interclass correlation coefficient
MRI
Magnetic resonance imaging
MS
Multiple sclerosis
PSIR
Phase sensitive inversion recovery
RIS
Radiologically isolated syndrome
ROI
Region of interest
RRMS
Relapse remitting MS
SD
Standard deviation
SI
Signal intensity
STIR
Short tau inversion recovery
T1-w
T1-weighted
T2-w
T2-weighted
TE
Time of echo
TI
Time of inversion
TR
Time of repetition

Introduction

Multiple sclerosis (MS) is a prevalent autoimmune inflammatory disease of the central nervous system (CNS) [1]. Magnetic resonance imaging (MRI) plays a crucial role in diagnosing MS and in disease and treatment monitoring [2]. Besides cerebral inflammation, MS causes demyelination in the spinal cord [3]. Imaging of the spinal cord of suspected MS patients is often essential to confirm the diagnosis of MS. The spinal cord is included in the dissemination of space in the McDonald diagnosis criteria for MS [4]. Furthermore, there can be a region of active contrast-enhancing lesions or new lesions in follow-up imaging to fulfil the criteria of dissemination in time [4]. In addition, spinal imaging can be helpful in discussing differential diagnoses of cerebral MRI findings as well as clarifying discrepancies between symptoms and cerebral MRI findings [3, 5, 6]. In patients with a verified diagnosis of MS, spinal cord imaging is helpful to estimate the prognosis as atrophy predicts a progressive disease [7, 8]. A higher spinal lesion load in the early disease stage is linked to a poor prognosis [9].
Imaging of the spinal cord is challenging, especially due to the relatively small crosssection and the extended configuration [10]. Requirements for imaging are therefore a relatively high spatial resolution with simultaneously high signal intensity and image contrast. Consequently, the recommended slice thickness for sagittal images is 3 mm or less [6]. Nevertheless, relatively small lesions in the spinal cord, as typical for MS, can be difficult to visualize and might lead to discrepancies of clinical and imaging findings [11]. Consequently, improving imaging quality is desired and the subject of various clinical studies [1215]. At high magnetic field strengths of 3 T, phase sensitive inversion recovery (PSIR) images provided promising results in depicting more cervical MS lesions than other 2D or 3D noncontrast enhanced (CE) pulse sequences [13, 16]. For a magnetic field strength of 1.5 T, the 2D short tau inversion recovery (STIR) pulse sequence was superior in detecting cervical MS lesions compared with the 2D PSIR MRI technique [17].
This study aimed to evaluate the detectability of MS lesions in the spinal cord using 3D PSIR MRI at 1.5 T. Apart from the evaluation of the cervical spinal cord, as analyzed before with 3D PSIR at 3 T [16] and 2D PSIR at 1.5 T [17], we also examined the whole thoracic spinal cord with a 3D PSIR sequence and compared the detectability of MS lesions with STIR images and T2-w images.

Material and Methods

The study was approved by the local ethics board of the medical faculty of the Christian-Albrechts-University Kiel (study number D624/20) and has been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.

Imaging

In this prospective study, between December 2020 and June 2021, in clinically indicated MRI examinations of the spinal cord for patients with known relapse remitting MS (RRMS), additional PSIR images were acquired. Patients were included in a consecutive manner. Exclusion criteria were other forms of MS. All images were obtained on a whole-body MRI system (1.5 T, MAGNETOM Aera, XQ gradients, Siemens Healthcare GmbH, Erlangen, Germany) with a maximum gradient strength of 45 mT/m and a maximum slew rate of 200 mT/m ms−1. The MR imaging system was operated by the syngo software (Versions E11C and E11E, Siemens Healthcare GmbH, Erlangen, Germany). The MR signal was received using a 20-element head coil, a 4-element neck coil, and a 32-element array coil placed on the upper chest (Siemens Healthcare GmbH). The MRI techniques used and their parameters are listed in Table 1.
Table 1
Protocol parameters of MRI pulse sequences used
MRI techniques
PSIR
STIR
T2-w
T2-w
CE T1
 
Slice orientation
Protocol parameters
Sagittal
Sagittal
Sagittal
Axial
Sagittal
TE (ms)
194
69
99
99
11
TR (ms)
4000
7430
4300
6830
570
TI (ms)
350
170
FA (°)
120
180
150
150
150
Slice thickness (mm)
1
3
3
3
3
Gap between the slices (mm)
0.3
0
6–7.5
0
Matrix
256 × 224
384 × 384
384 × 384
384 × 384
384 × 384
FOV (mm)
250 × 219
320 × 320
320 × 320
220 × 220
280 × 280
Protocol and sequence parameters used in the study. T1 weighted images were obtained after intravenous injection of a gadolinium-based contrast agent (0.1 mmol/kg BW gadobutrol).
PSIR phase sensitive inversion recovery, STIR short tau inversion recovery, CE contrast enhanced, TR time of repetition, TE time of echo, TI time of inversion, FA flip angle, FOV field of view
To evaluate the whole spinal cord, all contrasts were recorded with two stacks, the first covering the cervical and upper thoracic spine and the second covering the middle and lower thoracic spine (Figs. 1 and 2).

Image Analysis

The images were analyzed by 3 radiologists with 3 (F.B.N), 10 (M.H.) and 12 (S.P.) years of experience in evaluating MR images. The radiologists with 10 and 12 years of experience were board certified neuroradiologists. The radiologist with 3 years of experience was a resident experienced in neuroradiology. They were blinded to clinical data and independently evaluated three imaging sets containing: 1) only the magnitude images of the 3D PSIR MRI technique; 2) the sagittal STIR images and the axial T2-w images and 3) the sagittal T2-w images combined with the axial T2-w images. After evaluating each imaging set the sagittal contrast enhanced (CE) T1-weighted (T1-w) images were evaluated for achieving additional information or lesions. The evaluation of each set of images was performed at least 6 weeks apart and the cases were presented in different order to avoid recognition.
First, the imaging quality was assessed separately for the cervical spinal cord, the thoracic spinal cord and the conus medullaris on a 5-point scale: 1) very good diagnostic imaging quality, 2) good diagnostic imaging quality with slight imaging artifacts but without impaired evaluation, 3) acceptable diagnostic imaging quality with slight impairment for evaluation, 4) poor diagnostic imaging quality with marked impairment for evaluation and 5) very poor diagnostic imaging quality that is not feasible to evaluate. Second, the reader counted the MS lesions in the cervical spinal cord, the thoracic spinal cord and the conus medullaris each, without a threshold concerning lesion size. Additionally, the lesions were separated by lateral, ventral/dorsal and central locations. Finally, the reader determined their certainty of the lesion count on a 3-point scale: 1) certain, 2) moderate and 3) uncertain, again separated by location as cervical, thoracic and conus medullaris.
To determine the ground truth, the images were re-evaluated for a consensus reading, including all pulse sequences, the clinical history and all results of the previous blinded reading available. Additionally, the normalized lesion to cord contrast ratio (CR lesion/cord) for the cervical spinal cord and the thoracic spinal cord was determined with the formula [18, 19]:
$$\mathrm{CR}=\frac{SI_{\text{Lesion}}-SI_{\text{Cord}}}{SI_{\text{Cord}}}$$
To measure the signal intensity (SI), regions of interest (ROI) were drawn manually in the most representative lesion of the cervical and thoracic spinal cord as well as in the neighboring unaffected spinal cord.

Statistical Analysis

Normality (Gaussian distribution) was tested with the Shapiro-Wilk test. Due to skewness of the distribution the median and the range were reported for the patient age, the expanded disability status scale (EDSS) and the time elapsed between MS diagnosis and MRI examination. For the interrater agreement of lesion count the interclass correlation coefficient (ICC), two-way single agreement, was used. Values > 0.9 indicate an excellent agreement, 0.75–0.9 a good agreement, 0.5–0.74 a moderate agreement and < 0.5 a poor agreement [20]. Differences of CR lesion/cord were compared with the Wilcoxon rank sum test. A p-value < 0.05 was considered as statistically significant. The correlation of spinal cord lesions and the EDSS was determined with Spearman’s rank correlation coefficient, where 1.0 was considered as perfect, 0.8–0.99 as very strong, 0.6–0.79 as moderate, 0.3–0.59 as fair, 0.1–0.29 as poor and 0–0.09 as none [21].
The statistical analysis was performed with the software of the jamovi project (jamovi version 2.2.5; Retrieved from https://​www.​jamovi.​org).

Results

Demographics

A total of 50 patients were included in the study, of whom 35 (70%) were female. The median patient age was 37 years (minimum 23 years and maximum 72 years) and the median time elapsed between MS diagnosis and MRI scan was 29.5 months (minimum 0 months maximum 249 months). The median EDSS of the patients was 2 (minimum 0 and maximum 6). With 46% the majority of patients had no MS medication during the MRI, followed by 30% of patients treated with ocrelizumab and 16% treated with dimethyl fumarate. Only 4% of the patients were treated with teriflunomide and 2% each were treated with interferon beta 1a and glatiramer acetate.

Spinal Cord Lesions

The 50 patients had 239 lesions in total, with a maximum of 22 lesions in 1 patient and 7 patients with no lesions (Fig. 2). Therefore, an average of 4.78 lesions per patient was detected. Of the 239 lesions, 131 (54.81%) were located in the cervical spinal cord, 101 (42.26%) in the thoracic spinal cord and 7 (2.93%) in the conus medullaris (Fig. 3a), 125 (52.30%) lesions were located laterally in the spinal cord, 69 (28.87%) in the ventral or dorsal spinal cord and 45 (18.83%) had a central location (Fig. 3b). Using Spearman’s rank correlation coefficient, the number of spinal cord lesions showed a fair correlation to the EDSS (r = 0.31; p = 0.03).

Imaging Quality and Interrater Correlation

The mean imaging quality was rated as good to very good for all pulse sequences (Table 2). The interclass correlation coefficient (ICC) for the lesion count of the readers was 0.64 for PSIR, 0.82 for STIR and 0.74 for T2-w images.
Table 2
Evaluation of imaging quality in four different MRI techniques
MRI techniques with different slice orientation
Anatomical region
 
Cervical
Thoracic
Conus
PSIR sagittal
1.95 (0.81)
2.2 (0.77)
2.1 (1.10)
STIR sagittal
1.69 (0.82)
1.77 (0.65)
1.29 (0.03)
T2-w sagittal
1.47 (0.78)
1.57 (0.67)
1.39 (0.6)
T2-w axial
1.96 (0.94)
2.19 (0.66)
1.64 (0.82)
T1-w CE sagittal
1.33 (0.53)
1.19 (0.44)
1.4 (0.64)
Mean imaging quality and standard deviation (SD, bracketed) of the different MRI pulse sequences separated for the cervical spinal cord, the thoracic spinal cord and the conus medullaris. Where 1 means “very good diagnostic imaging quality” and 2 means “good diagnostic imaging quality with slight artefacts but without impaired evaluation”. PSIR Phase sensitive inversion recovery, STIR short tau inversion recovery, T2-w T2-weighted, T1-w T1-weighted, CE contrast enhanced

Lesion Detection

With the sagittal and axial T2-w images 59.95% of the cervical lesions and 59.52% of the thoracic lesions were detected. With the sagittal STIR images and the axial T2-w images 58.63% of the cervical lesions and 59.10% of the thoracic lesions were detected. Using just the PSIR images 77.10% of the cervical lesions and 72.61% of the thoracic lesions were detected; however, with the PSIR images considerably more false positive lesions were counted, on average 43.67 per reader, compared to the T2-w images, on average 17.67 per reader, and compared to the STIR images, on average 13 per reader. The certainty of lesion count was certain to moderate in all groups, for details see Table 3. There was no case in which the CE T1-w images revealed additional information.
Table 3
Evaluation of certainty of lesion count using three different noncontrast enhanced MRI techniques
Anatomical regions
MRI techniques
 
PSIR
STIR
T2-w
Cervical
1.36 (0.62)
1.39 (0.62)
1.36 (0.61)
Thoracic
1.44 (0.65)
1.37 (0.59)
1.54 (0.64)
Conus
1.1 (0.36)
1.06 (0.30)
1.13 (0.44)
Total
1.34 (0.60)
1.27 (0.54)
1.34 (0.60)
Average certainty of lesion count and standard deviation (SD, bracketed), separated by location as cervical spinal cord, thoracic spinal cord and conus medullaris and in total. The certainty was rated on a 3-point scale: 1) certain; 2) moderate; 3) uncertain

Lesion to Cord Contrast Ratio

The average CR of lesion/cord was highest in the PSIR images (cervical 0.95 ± 0.40; thoracic 0.88 ± 0.50; total 0.92 ± 0.45), followed by the STIR images (cervical 0.44 ± 0.21; thoracic 0.44 ± 0.25; total 0.44 SD 0.23) and the lowest in the T2-w images (cervical 0.29 ± 0.15; thoracic 0.26 ± 0.15; total 0.28 ± 0.15) (Figs. 4 and 5).
Using the Wilcoxon rank sum test the differences between the PSIR-CRs, the STIR-CRs and the T2-w CRs were significant for the cervical spinal cord, the thoracic spinal cord and both locations taken together (p < 0.001 each). Similarly, the STIR-CRs were significantly higher than the T2-w CRs for all locations (p < 0.001).

Discussion

This study shows that the evaluation of the whole spinal cord with the 3D PSIR MRI technique is feasible with a high sensitivity for the detection of spinal MS lesions at a magnetic field strength of 1.5 T. Compared to two other non-CE pulse sequences, it has a higher lesion to cord contrast and improves the sensitivity for lesion detection.
Two types of images (phase corrected real images and magnitude) can be reconstructed from the same acquired dataset using the PSIR MRI technique. For 2D PSIR images at 1.5 T, a higher rate of lesion detection was described for the magnitude images compared to the phase corrected real images [17]. We therefore choose to evaluate the magnitude images of the PSIR sequence concerning lesion detection and CR lesion/cord.
In contrast to 2D PSIR images, which were inferior in lesion detection in the cervical spinal cord compared to STIR images at 1.5 T [17], in our study PSIR images showed a higher sensitivity compared to STIR images and T2-w images. A possible explanation is the higher spatial resolution of the 3D images compared to the 2D images. To compensate this limitation the 2D images were recorded in two different planes. Nevertheless, the 2D sequences are the clinical standard [6] and therefore the benchmark.
A superiority of 3D PSIR images in evaluating the cervical spinal cord at 3 T has already been described [16, 19, 22]; however, to our knowledge this is the first study evaluating a 3D PSIR at a magnetic field strength of 1.5 T. In contrast to the findings at 3 T, we could not confirm a rising interrater correlation using PSIR images. In our study, the interrater correlation was the highest for the STIR images. Besides the different magnetic field strengths, a possible reason for this might be a different lesion threshold. We also counted small and somewhat blurry lesions, whereas Fechner et al. stated “not to count lesions in areas too full of artifacts and to report only evident and well-delimitated lesions” [16]. Together with the lower magnetic field strength, this is also a possible explanation for the false positive lesions counted in our study, a phenomenon not reported by the French working group [16, 19]. The fact that we also tried to count small lesions without a minor size limit and blurry lesions might also explain the higher false positive rate in the 3D images in our study compared to the 2D images; however, we had a higher sensitivity using the 3D PSIR images. Even though the McDonald criteria are intended for MS diagnosis and not for follow-up evaluations, the herein defined lower lesion size of 3 mm [4] will probably decrease false positive results and therefore increase specificity; however, in clinical routine we also observe smaller MS lesions in the spinal cord [23]. Considering the relatively small diameter of the spinal cord [10], and the close relation of functionally important structures as well as for considerations of differential diagnoses in patients without the diagnosis of MS yet, these small lesions are also clinically relevant. Furthermore, a too restrictive definition of lesion size would lower the sensitivity of the examination. A possible solution might be a combination of a 3D and a 2D pulse sequence in an advanced examination protocol of the spinal cord in MS patients. The MAGNIMS-CMSC-NAIMS working group recommended using at least two sagittal images for MS diagnosis [6]. In the aforementioned consensus recommendations from 2021 [6], PSIR images are mentioned as optional due to a lack of data and clinical experience. According to our results, PSIR and STIR seem to be the best partners. This is in concordance with the literature, where STIR images are described as superior to T2-w images at both 1.5 T and 3 T [2427]. Nonetheless, this was not the goal of this study and could be addressed by future research.
There are less frequent clinical research studies concerning the using of PSIR MRI technique in the thoracic spinal cord. Regarding 2D pulse sequences at a magnetic field strength of 3 T, PSIR has a lower sensitivity than STIR and T2-w images [13]. With a 3D SPIR at 3 T lesion detection in the upper thoracic segments seems to be reliable [19]; however, the aforementioned study [19] did not cover the whole spinal cord, on average only down to the 8th thoracic segment. Our results showed that even at a lower magnetic field strength of 1.5 T, a 3D PSIR rises the sensitivity for lesion detection in the thoracic spinal cord.
Besides the higher spatial resolution in 3D pulse sequences, higher image contrast between the spinal cord and the MS lesions are discussed as possible reasons for the superior lesion detection and lesion counts in 2D [13] and 3D PSIR images at 3 T [16, 19]. We can confirm these findings for a magnetic field strength of 1.5 T, as we found significantly higher CR lesion/cord in the 3D PSIR images compared to the 2D STIR and the 2D T2-w images (Figs. 4 and 5).
To reduce the total examination time, a relatively wide gap was employed in the axial T2-w images in this study. This implies a limitation for lesion detection. Still, axial imaging is mentioned as optional in international imaging guidelines [6]. Even though it can be regarded as a dispensable addition to sagittal images, an increased slice thickness might have been more favorable instead.
Even though spinal cord lesions are of predictive value in clinically isolated syndrome (CIS) and radiologically isolated syndrome (RIS) patients developing MS [28, 29], the spinal lesion count only correlates moderately with the EDSS in our study and poorly to moderately in other studies [19, 22]. Nevertheless, a high sensitivity for lesion detection is important concerning differential diagnostic considerations as well as for the assessment of disease activity and the monitoring of effectiveness of the disease-modifying treatment. If there is a general improvement in lesion detection using 3 T instead of 1.5 T magnetic field strengths remains unclear [6, 30]. For PSIR pulse sequence a benefit for lesion detection in the cervical spinal cord is described, as discussed above. We could confirm a rising sensitivity using 3D PSIR in routinely widely available MRI systems with a magnetic field strength of 1.5 T. A direct comparison of 3D PSIR images at 1.5 T and 3 T in future studies would be of interest to provide optimal diagnostic imaging for MS patients.

Conclusion

The use of 3D PSIR images improves the sensitivity of lesion detection in the cervical and thoracic spinal cord at a magnetic field strength of 1.5 T. In combination with other non-CE pulse sequences the lower specificity might be compensated and therefore 3D PSIR images might become a valuable complimentary non-CE MRI technique in an advanced imaging protocol for MS patients.

Conflict of interest

S. Peters, F.B. Neves, M. Huhndorf, F. Gärtner, K. Stürner, O. Jansen and M. Salehi Ravesh declare that they have no competing interests.
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Metadaten
Titel
Detection of Spinal Cord Multiple Sclerosis Lesions Using a 3D-PSIR Sequence at 1.5 T
verfasst von
Sönke Peters
Fernando Bueno Neves
Monika Huhndorf
Friederike Gärtner
Klarissa Stürner
Olav Jansen
Mona Salehi Ravesh
Publikationsdatum
30.01.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Neuroradiology
Print ISSN: 1869-1439
Elektronische ISSN: 1869-1447
DOI
https://doi.org/10.1007/s00062-023-01376-x

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