- Research article
- Open Access
The effect of intramuscular interferon beta-1a on spinal cord volume in relapsing-remitting multiple sclerosis
BMC Medical Imaging volume 16, Article number: 56 (2016)
Spinal cord atrophy occurs early in multiple sclerosis (MS) and impacts disability. The therapeutic effect of interferon beta-1a (IFNβ-1a) on spinal cord atrophy in patients with relapsing-remitting (RR) MS has not been explored.
We retrospectively identified 16 consecutive patients receiving weekly intramuscular IFNβ-1a for 2 years [baseline age (mean ± SD) 47.7 ± 7.5 years, Expanded Disability Status Scale score median (range) 1.5 (0–2.5), timed 25-foot walk 4.6 ± 0.7 seconds; time on treatment 68.3 ± 59.9 months] and 11 sex- and age-matched normal controls (NC). The spinal cord was imaged at baseline, 1 and 2 years later with 3T MRI. C1-C5 spinal cord volume was measured by an active surface method, from which normalized spinal cord area (SCA) was calculated.
SCA showed no change in the MS or NC group over 2 years [mean annualized difference (95 % CI) MS: −0.604 mm2 (−1.352, 0.144), p = 0.106; NC: −0.360 mm2 (−1.576, 0.855), p = 0.524]. Between group analysis indicated no differences in on-study SCA change [MS vs. NC; year 1 vs. baseline, mean annualized difference (95 % CI) 0.400 mm2 (−3.350, 2.549), p = 0.780; year 2 vs. year 1: −1.196 mm2 (−0.875, 3.266), p = 0.245; year 2 vs. baseline −0.243 mm2 (−1.120, 1.607), p = 0.712].
Established IFNβ-1a therapy was not associated with ongoing spinal cord atrophy or any difference in the rate of spinal cord volume change in RRMS compared to NC over 2 years. These results may reflect a treatment effect. However, due to sample size and study design, these results should be considered preliminary and await confirmation.
Multiple sclerosis (MS) is a disease of the CNS characterized by lesions and atrophy in both the brain and spinal cord . Measurement of spinal cord atrophy is of growing interest due to improving MRI technology, regarding both scan acquisition and segmentation techniques, facilitating its quantification [2–7]. In addition, a myriad of studies have shown that such atrophy occurs early in the disease course and is a proposed contributor to neurologic disability [1, 5, 8]. Despite the availability of more than 10 disease-modifying immunotherapies for the treatment of MS, few studies have assessed therapeutic effects on spinal cord atrophy [8–14]. Such a pursuit might have relevance in complementing the information on disease severity and treatment effects obtained from brain imaging. In support of this concept, spinal cord metrics provide a unique contribution to brain metrics in modeling the relationship between MRI and clinical status in MS . In addition, a growing body of evidence indicates that spinal cord involvement may occur and progress independently from brain involvement [8, 16–19].
Interferon β-1a (IFNβ-1a), given intramuscularly each week, is an approved MS immunotherapy that has been shown to limit relapse rate, delay the time to a sustained increase in physical disability, and limit cerebral MRI-defined lesion activity and burden of disease in patients with relapsing forms of the disease [20–22]. In addition, studies have indicated the ability of weekly intramuscular IFNβ-1a to limit the rate of brain atrophy [23, 24]. However, no studies to date have examined spinal cord atrophy treatment effects in patients with relapsing forms of MS receiving weekly intramuscular IFNβ-1a. We performed a pilot study to assess the 2 year change in spinal cord volume associated with established IFNβ-1a treatment in comparison to healthy subjects.
Baseline demographic and clinical data of the MS and normal control (NC) groups are summarized in Table 1. We retrospectively analyzed 16 consecutive patients with relapsing-remitting MS (RRMS) receiving established 30 mcg weekly intramuscular IFNβ-1a (Avonex, Biogen Inc., Cambridge, MA) and 11 NC. This was an exploratory retrospective non-randomized two-arm observational preliminary study. All MS subjects were identified by chart review using the following inclusion criteria: RRMS , age 18 to 60 years, and an Expanded Disability Status Scale (EDSS)  score of 0–5. Patients were required to have a baseline, 1 year, and 2 year 3T MRI scan available. Clinical evaluation, including EDSS scoring and timed 25-foot walk (T25FW) , were assessed within 3 months of MRI by the treating neurologist at the Partners MS Center. When comparing groups on baseline characteristics, age and sex distributions were similar (Table 1). This study was approved by our institution’s research ethics committee.
All subjects underwent spinal cord 3T MRI using the same acquisition protocol and scanner (GE Signa, General Electric Healthcare, Milwaukee, WI). The scan protocol has been detailed previously . 2D T2-weighted fast spin-echo imaging of the whole spinal cord was performed using 137–192 axial slices without gaps (TR/TE: 5933.34–6183.34/110.24–112.48 ms; voxel size 0.9375 × 0.9375 × 3 mm; number of signal averages: 2; field of view: 24 × 19 cm; scan duration: 18–38 min). Every patient, except for 4, had a TR of 6166.7 ms; the majority had a TE of 110.24 ms. We employed an 8 channel phased array coil, motion compensation, and interleaving, but no cardiac gating. Spinal cord imaging began superiorly at the base of the cerebellum. To ensure consistency between baseline and follow-up scans, patients were always positioned in the same orientation (head first with shoulders against the coil). We relied on T2-weighted images for cord volume determinations based on our previous work showing similar results between T1- and T2-derived spinal cord volume data, and no confounding effect of spinal cord T2 lesions on such determinations . Scans were conducted at baseline, 1 and 2 years later. Sample images are shown in Fig. 1.
Image analysis was performed by a validated active surface method  using Jim (v.7, Xinapse Systems, West Bergholt, UK; www.xinapse.com). A marker was placed at the center of the spinal cord on the most superior axial slice of C1 in which the cerebellum was no longer visible. Additional markers were then placed in the center of the cord on every fifth slice until the bottom of C5 was reached. The active surface method was then applied to automatically produce regions-of-interests by distinguishing between the contour of the cord and the surrounding CSF. Total spinal cord volume was then calculated for C1-C5, from which the normalized cross-sectional spinal cord area (SCA) was derived by dividing by the total number of axial slices . Analysis was performed by two trained observers who were blinded to both subject group and clinical data. Manual adjustments were applied to the final output maps as necessary. The high reliability of this method has already been established . Sample segmentations are shown in Fig. 1. In addition, for descriptive purposes only and to assess to what extent patient’s had overt spinal cord pathology, the number of spinal cord lesions in the C1-C5 area, and the entire spinal cord was determined for each subject by the same trained observers.
Baseline characteristics between groups were compared using two-sample t-tests and Fisher’s exact tests. One-sample t-tests and two-sample t-tests were employed to analyze the on-study change in SCA within each cohort and between MS and NC, respectively. Relationships between clinical characteristics and SCA were determined using Spearman correlations. A p < 0.05 was considered statistically significant; a p > 0.05 but <0.10 was considered a trend.
In the MS patients, a significant inverse correlation was observed between baseline SCA and disease duration (Spearman r = −0.518, p = 0.042, Table 2, Fig. 4). No significant associations were found between baseline SCA and baseline age, EDSS score, or T25FW (all p > 0.05, Table 2).
On-study spinal cord change: within group comparisons
Considering the MS subgroup alone, no significant change was seen in SCA over the 2 year study period [mean annualized difference (95 % CI): −0.604 mm2 (−1.352, 0.144), p = 0.106]. Similarly, when assessing the on-study change in SCA within the NC cohort, no significant difference was detected over 2 years [−0.360 mm2 (−1.576, 0.855), p = 0.524] (Table 3, Figs. 2 and 3).
On-study spinal cord area change: between group comparisons
When comparing the on-study changes in SCA between the MS and NC cohorts, no significant differences were detected [MS vs. NC mean annualized change difference (95 % CI) year 2 vs. baseline: −0.243 mm2 (−1.120, 1.607), p = 0.712]. Analysis comparing the change in SCA from baseline to year 1 and from year 1 to year 2 also indicated no significant differences between the two cohorts [year 1 vs. baseline: 0.400 mm2 (−3.350, 2.549), p = 0.780; year 2 vs. year 1: −1.196 mm2 (−0.875, 3.266), p = 0.245] (Table 3, Figs. 2 and 3).
Spinal cord lesions
Spinal cord lesions in the C1-C5 area were detected in 10 subjects (63 %) from the MS cohort at baseline [mean number ± SD (range) per patient: 1.38 ± 1.45 (0–4) lesions] (Fig. 1). An analysis of baseline data showed that the MS subjects with cervical spinal cord lesions had a SCA of 63.22 ± 12.86 mm2, and the 6 MS subjects without lesions had a SCA of 75.2 ± 11.71 mm2. This difference was not statistically significant, but showed a trend (p = 0.082). The number of lesions per patient in the whole spinal cord was 3.00 ± 3.33 (0–12) at baseline, 3.69 ± 3.66 (0–14) at year 1, and 3.44 ± 2.61 (0–9) at year 2. Considering the whole spinal cord, most of the MS subjects had spinal cord lesions; only five patients (31 %) were free of lesions at baseline. This was reduced to 3 subjects (19 %) by year 2. No spinal cord lesions were detected in the NC group at any time point.
In this pilot study, we explored the effect of IFNβ-1a therapy on spinal cord atrophy over 2 years in patients with RRMS. Patients did not develop any atrophy over 2 years and had no difference in their spinal cord volume change as compared to healthy volunteers. This was a “real world” retrospective study without any comparison patient group, such as untreated patients. The sample size was small. Thus, the results should be interpreted with caution and the study design does not permit any strong conclusion regarding a treatment effect of IFNβ-1a. Nonetheless, the data provided here are valuable in that very few studies have examined spinal cord metrics under treatment with disease-modifying MS medications; most of the previous studies have focused on progressive rather than relapsing forms of the disease [8–14]. Thus, we provide a unique set of preliminary results that could serve as a basis for further studies on the role of spinal cord imaging in treatment monitoring in RRMS.
Spinal cord atrophy has been reported to occur in the early stages of MS, such as in patients with clinically isolated demyelinating syndromes or RRMS [1, 31–33]. However, the stage of the appearance of spinal cord atrophy is controversial; other studies have not confirmed these results and have contended that spinal cord atrophy most commonly develops in the later stages of RRMS or in progressive forms of the disease [2, 6, 9, 10, 30, 34]. In addition, transient changes such as inflammation and edema may increase spinal cord volume, particularly early in the MS disease course, and serve to offset or mask ongoing volume loss due to atrophy . Thus, our study may have suffered from a diagnostic sensitivity bias in that the lack of spinal cord atrophy may have reflected the early disease stage of our patients rather than the effect of therapy. However, this was tempered by the observation that spinal cord lesions were quite common in our patients.
In the present study, we employed a highly reproducible semiautomated segmentation tool to measure spinal cord volume , which was normalized by our established method . We applied this segmentation pipeline to 2D images, given their availability in this retrospective study and our previous demonstration that these images showed 1) sensitivity to disease-specific effects and 2) high reproducibility . We did not have high-resolution 3D images available in this data set, which have been commonly used by several groups to effectively measure spinal cord volume [16, 36–38]. In addition, newer fully automated methods of contouring spinal cord volume have become available and may have relevance to MS [3, 6, 7], which we did not employ in this study. Thus, we cannot exclude the possibility that our technique, both on the basis of scan acquisition and post-processing methodology, may have lacked sensitivity to ongoing spinal cord atrophy in these patients, irrespective of a drug treatment effect.
Although we had a small sample size, we chose to test the relationship between SCA and clinical status in the MS group at baseline, to explore the validity of our results. We failed to find any significant correlations between SCA and measures of overall physical disability (EDSS score) or ambulatory function (T25FW). However, we showed that SCA significantly correlated inversely with disease duration, indicating that spinal cord atrophy was linked to advancing disease duration. Previous studies have shown inconsistent results regarding the relationship between spinal cord atrophy and clinical status in MS. Some studies have shown a correlation between spinal cord atrophy and advancing EDSS score, [2, 4, 6, 7, 10, 15, 17, 18, 29, 30, 33, 34, 39], while others have not [1, 8, 10]. A significant relationship between spinal cord atrophy and ambulatory dysfunction on the T25FW has been shown in some [4, 6, 30] but not all studies [18, 29]. Furthermore, a growing body of evidence indicates that spinal cord-disability relationships are more strongly present in patients with advanced disability and progressive stages of the disease [1, 4, 8, 9, 18, 34, 39], the stage at which spinal cord atrophy is most commonly seen [2, 6, 10, 30, 34]. Therefore, in addition to the small sample size, our inability to show a relationship between SCA and disability measures may reflect the restricted range of our mildly disabled relapsing-remitting stage patients. Nonetheless, the link we showed between SCA and disease duration is consistent with previous work [7, 33, 34] and provides some reassurance of the validity of the SCA measure employed in our study.
Established IFNβ-1a therapy was not associated with ongoing spinal cord atrophy or any difference in the rate of spinal cord volume change in RRMS compared to NC over 2 years. These results may reflect a treatment effect. However, due to sample size and study design, these results should be considered preliminary and await confirmation in larger prospective studies.
Expanded Disability Status Scale
Normalized spinal cord area
Timed 25-foot walk
Bakshi R, Dandamudi VS, Neema M, De C, Bermel R. Measurement of brain and spinal cord atrophy by magnetic resonance imaging as a tool to monitor multiple sclerosis. J Neuroimaging. 2005;15:30S–45S.
Horsfield MA, Sala S, Neema M, Absinta M, Bakshi A, Sormani MP, Rocca MA, Bakshi R, Filippi M. Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis. Neuroimage. 2010;50:446–55.
De Leener B, Kadoury S, Cohen-Adad J. Robust, accurate and fast automatic segmentation of the spinal cord. Neuroimage. 2014;98:528–36.
Schlaeger R, Papinutto N, Panara V, Bevan C, Lobach IV, Bucci M, Caverzasi E, Gelfand JM, Green AJ, Jordan KM, Stern WA, von Büdingen HC, Waubant E, Zhu AH, Goodin DS, Cree BA, Hauser SL, Henry RG. Spinal cord gray matter atrophy correlates with multiple sclerosis disability. Ann Neurol. 2014;76:568–80.
Gass A, Rocca MA, Agosta F, Ciccarelli O, Chard D, Valsasina P, Brooks JC, Bischof A, Eisele P, Kappos L, Barkhof F, Filippi M, MAGNIMS Study Group. MRI monitoring of pathological changes in the spinal cord in patients with multiple sclerosis. Lancet Neurol. 2015;14:443–54.
Yiannakas MC, Mustafa AM, De Leener B, Kearney H, Tur C, Altmann DR, De Angelis F, Domenico P, Ciccarelli O, Miller DH, Cohen-Adad J, Gandini Wheeler-Kingshott CAM. Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis. Neuroimage Clin. 2016;10:71–7.
Chen M, Carass A, Oh J, Nair G, Phan DL, Reich DS, Prince JL. Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. Neuroimage. 2013;83:1051–62.
Lin X, Tench CR, Evangelou N, Jaspan T, Constantinescu CS. Measurement of spinal cord atrophy in multiple sclerosis. J Neuroimaging. 2004;14:20S–6S.
Laule C, Vavasour IM, Zhao Y, Traboulsee AL, Oger J, Vavasour JD, Mackay AL, Li DK. Two-year study of cervical cord volume and myelin water in primary progressive multiple sclerosis. Mult Scler. 2010;16:670–7.
Lin X, Trench CR, Turner B, Blumhardt LD, Constantinescu CS. Spinal cord atrophy and disability in multiple sclerosis over four years: application of a reproducible automated technique in monitoring disease progression in a cohort of the interferon β-1a (Rebif) treatment trial. J Neurol Neurosurg Psychiatry. 2003;74:1090–4.
Rudick RA. Impact of disease-modifying therapies on brain and spinal cord atrophy in multiple sclerosis. J Neuroimaging. 2004;14:54S–64S.
Filippi M, Preziosa P, Rocca MA. Magnetic resonance outcome measures in multiple sclerosis trials: time to rethink? Curr Opin Neurol. 2014;27:290–9.
Leary SM, Miller DH, Stevenson VL, Brex PA, Chard DT, Thompson AJ. Interferon β-1a in primary progressive MS: an exploratory, randomized, controlled trial. Neurology. 2003;60:44–51.
Kalkers NF, Barkhof F, Bergers E, van Schijndel R, Polman CH. The effect of the neuroprotective agent riluzole on MRI parameters in primary progressive multiple sclerosis: a pilot study. Mult Scler. 2002;5:532–3.
Bakshi R, Neema M, Tauhid S, Healy BC, Glanz BI, Kim G, Miller J, Berkowitz JL, Bove R, Houtchens MK, Severson C, Stankiewicz JM, Stazzone L, Chitnis T, Guttmann CR, Weiner HL, Ceccarelli A. An expanded composite scale of MRI-defined disease severity in multiple sclerosis: MRDSS2. Neuroreport. 2014;25:1156–61.
Filippi M, Bozzali M, Horsfield MA, Rocca MA, Sormani MP, Iannucci G, Colombo B, Comi G. A conventional and magnetization transfer MRI study of the cervical cord in patients with MS. Neurology. 2000;54:207–13.
Kearney H, Rocca MA, Valsasina P, Balk L, Sastre-Garriga J, Reinhardt J, Ruggieri S, Rovira A, Stippich C, Kappos L, Sprenger T, Tortorella P, Rovaris M, Gasperini C, Montalban X, Geutrs JJ, Polman CH, Barkhof F, Filippi M, Altmas DR, Ciccarelli O, Miller DH, Chard DT. Magnetic resonance imaging correlates of physical disability in relapse onset multiple sclerosis of long disease duration. Mult Scler. 2014;20:72–80.
Cohen AB, Neema M, Arora A, Dell’oglio E, Benedict RH, Tauhid S, Goldberg-Zimring D, Chavarro-Nieto C, Ceccarelli A, Klein JP, Stankiewicz JM, Houtchens MK, Buckle GJ, Alsop DC, Guttmann CR, Bakshi R. The relationship among MRI-defined spinal cord involvement, brain involvement, and disability in multiple sclerosis. J Neuroimaging. 2012;22:122–8.
Sombekke MH, Lukas C, Crusius JB, Tejedor D, Killestein J, Arteta D, Martinez A, Uitdehaag BM, Knol DL, Pena AS, Geurts JJ, De Jager PL, Barkhof F, Vrenken H, Polman CH. HLA-DRB1*1501 and spinal cord magnetic resonance imaging lesions in multiple sclerosis. Arch Neurol. 2009;66:1531–6.
Jacobs LD, Cookfair DL, Rudick RA, Herndon RM, Richert JR, Salazar AM, Fischer JS, Goodkin DE, Granger CV, Simon JH, Alam JJ, Bartoszak DM, Bourdette DN, Braiman J, Brownscheidle CM, Coats ME, Cohan SL, Dougherty DS, Kinkel RP, Mass MK, Munschauer III FE, Priore RL, Pullicino PM, Scherokman BJ, Weinstock-Guttman B, Whitham RH, The Multiple Sclerosis Collaborative Research Group. Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. Ann Neurol. 1996;39:285–94.
Simon JH, Jacobs LD, Campion M, Wende K, Simonian N, Cookfair DL, Rudick RA, Herndon RM, Richert JR, Salazar AM, Alam JJ, Fischer JS, Goodkin DE, Granger CV, Lajaunie M, Martens-Davidson AL, Meyer MJ, Sheeder J, Choi K, Scherzinger AL, Bartoszak DM, Bourdette DN, Braiman J, Brownscheidle CM, Coats ME, Cohan SL, Dougherty DS, Kinkel RP, Mass MK, Munschauer III FE, Priore RL, Pullicino PM, Scherokman BJ, Weinstock-Guttman B, Whitham RH, The Multiple Sclerosis Collaborative Research Group. Magnetic resonance studies of intramuscular interferon β-la for relapsing multiple sclerosis. Ann Neurol. 1998;43:79–87.
Jacobs LD, Beck RW, Simon JH, Kinkel RP, Brownscheidle CM, Murray TJ, Simonian NA, Slasor PJ, Sandrock AW, CHAMPS Study Group. Intramuscular interferon beta-1a therapy initiated during a first demyelinating event in multiple sclerosis. N Engl J Med. 2000;343:898–904.
Rudick RA, Fisher E, Lee JC, Simon J, Jabcobs L, Multiple Sclerosis Collaborative Research Group. Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS. Neurology. 1999;53:1698–704.
Hardmeier M, Wagenpfeil S, Freitag P, Fisher E, Rudick RA, Kooijmans M, Clanet M, Radue EW, Kappos L, European IFN-1a in Relapsing MS Dose Comparison Trial Study Group. Rate of brain atrophy in relapsing MS decreases during treatment with IFNbeta-1a. Neurology. 2005;64:236–40.
Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L, Lublin FD, Metz LM, McFarland HF, O’Connor PW, Sandberg-Wollheim M, Thompson AJ, Weinshenker BG, Wolinsky JS. Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Ann Neurol. 2005;58:840–6.
Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444–52.
Cutter GR, Baier M, Rudick R, Cookfair DL, Fischer JS, Petkau J, Syndulko K, Weinshenker BG, Antel JP, Confavreux C, Ellison GW, Lublin F, Miller AE, Rao SM, Reingold S, Thompson A, Willoughby E. Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain. 1999;122:871–82.
Stankiewicz JM, Neema M, Alsop DC, Healy BC, Arora A, Buckle GJ, Chitnis T, Guttmann CRG, Hackney D, Bakshi R. Spinal cord lesions and clinical status in multiple sclerosis: a 1.5T and 3T MRI study. J Neurol Sci. 2009;279:99–105.
Kim G, Khalid F, Oommen VV, Tauhid S, Chu R, Horsfield MA, Healy BC, Bakshi R. T1-vs. T2-based MRI measures of spinal cord volume in healthy subjects and patients with multiple sclerosis. BMC Neurol. 2015;15:124.
Healy BC, Arora A, Hayden DL, Ceccarelli A, Tauhid S, Neema M, Bakshi R. Approaches to normalization of spinal cord volume: application to multiple sclerosis. J Neuroimaging. 2012;22:e12–9.
Kearney H, Miller DH, Ciccarelli O. Spinal cord MRI in multiple sclerosis –diagnostic, prognostic and clinical value. Nat Rev Neurol. 2015;11:327–38.
Brex PA, Leary SM, O’Riordan JI, Miszkiel KA, Plant GT, Thompson AJ, Miller DH. Measurement of spinal cord area in clinically isolated syndromes suggestive of multiple sclerosis. J Neurol Neurosurg Psychiatry. 2001;70:544–7.
Stevenson VL, Leary SM, Losseff NA, Parker GJ, Barker GJ, Husmani Y, Miller DH, Thompson AJ. Spinal cord atrophy and disability in MS: a longitudinal study. Neurology. 1998;51:234–8.
Rocca MA, Horsfield MA, Sala S, Copetti M, Valsasina P, Mesaros S, Martinelli V, Caputo D, Stosic-Opincal T, Drulovic J, Comi G, Filippi M. A multicenter assessment of cervical cord atrophy among MS clinical phenotypes. Neurology. 2011;76:2096–102.
Klein JP, Arora A, Neema M, Healy BC, Tauhid S, Goldberg-Zimring D, Chavarro-Nieto C, Stankiewicz JM, Cohen AB, Buckle GJ, Houtchens MK, Ceccarelli A, Dell’Oglio E, Guttmann CR, Alsop DC, Hackney DB, Bakshi R. A 3T MR imaging investigation of the topography of whole spinal cord atrophy in multiple sclerosis. Am J Neuroradiol. 2011;32:1138–42.
Kearney H, Miszkiel KA, Yiannakas MC, Ciccarelli O, Miller DH. A pilot MRI study of white and grey matter involvement by multiple sclerosis spinal cord lesions. Mult Scler Relat Disord. 2013;2:103–8.
Nair G, Absinta M, Reich DS. Optimized T1-MPRAGE sequence for better visualization of spinal cord multiple sclerosis lesions at 3T. Am J Neuroradiol. 2013;34:2215–22.
Papinutto N, Schlaeger R, Panara V, Zhu AH, Caverzasi E, Stern WA, Hauser SL, Henry RG. Age, gender and normalization covariates for spinal cord gray matter and total cross-sectional areas at cervical and thoracic levels: a 2D phase sensitive inversion recovery imaging study. PLoS One. 2015;10:e0118576.
Oh J, Seigo M, Saidha S, Sotirchos E, Zackowski K, Chen M, Prince J, Diener-West M, Calabresi PA, Reich DS. Spinal cord normalization in multiple sclerosis. J Neuroimaging. 2014;24:577–84.
This work was presented in preliminary form at the 2016 meeting of the European Committee on Treatment and Research in Multiple Sclerosis (ECTRIMS), London, UK.
Support for this study was provided through an Investigator Initiated Trial grant from Biogen.
Availability of data and materials
The datasets analyzed during the current study available from the corresponding author on reasonable request.
RB conceived the study idea and design, and drafted the manuscript with SD. SD assisted in image acquisition and performed image analysis along with FK and ST. SB and MN compiled the subject list for analysis. BH performed statistical analysis and provided edits to the manuscript. All authors read and approved the final version of the manuscript.
A Medical Accuracy Review of this manuscript was conducted by Biogen. In the past year, Dr. Healy received research support from Merck-Serono, Genzyme, and Novartis. Dr. Bakshi received consulting fees from EMD Serono, Genentech, Sanofi-Genzyme, and Novartis and research support from Biogen, EMD-Serono, Novartis, and Sanofi-Genzyme. The other authors declare that they have no conflict of interest.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the Partners Humanl Research Committee, and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study, formal consent is not required.
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Dupuy, S.L., Khalid, F., Healy, B.C. et al. The effect of intramuscular interferon beta-1a on spinal cord volume in relapsing-remitting multiple sclerosis. BMC Med Imaging 16, 56 (2016). https://doi.org/10.1186/s12880-016-0158-4
- Multiple sclerosis
- Spinal cord atrophy
- Interferon beta-1a