Reference values for the cervical spinal canal and the vertebral bodies by MRI in a general population
Authors:
Christopher Nell aff001; Robin Bülow aff001; Norbert Hosten aff001; Carsten Oliver Schmidt aff002; Katrin Hegenscheid aff001
Authors place of work:
Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Mecklenburg-Western Pomerania, Germany
aff001; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Mecklenburg-Western Pomerania, Germany
aff002
Published in the journal:
PLoS ONE 14(9)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0222682
Summary
Purpose
To provide population-based reference values for cervical spinal canal parameters and vertebral body (VB) width and to study their associations with sex, age, body height, body weight and body mass index (BMI) using MRI.
Methods
Cross-sectional analyses included data from 2,453 participants, aged 21–89 years, of the population-based Study of Health in Pomerania (SHIP) who underwent whole-body MRI at 1.5 Tesla between July 2008 and March 2011. A standardised reading was performed for the C2-C7 cervical spine levels at sagittal T2 TSE weighted sequences.
Results
Reference intervals for spinal canal parameters were similar in males and females, while VB width was on average 2.1–2.2 mm larger in males. Age effects were only substantial regarding VB width with a 0.5 mm per ten-year age increase. Body height effects were only substantial regarding the osseous spinal canal and VB width. Body weight and BMI effects are mostly not substantial.
Conclusions
Our study provides MRI-based reference values for the cervical spinal canal parameters in an adult Caucasian population. Except for VB width, associations with sex, age and somatometric measures are mostly small and thus have only limited clinical implications. Some available cut-off values may need a revision because they likely overestimate risks.
Keywords:
body mass index – Body weight – magnetic resonance imaging – Spine – Stenosis – Body height – Canals
Introduction
MRI plays a crucial role in the assessment of cervical spine disorders [1–3]. Yet, reference values for the spinal canal derived from MRI are still not available. This complicates a proper understanding of what a normal morphological finding distinguishes from an abnormal one. Previous studies related to the cervical spinal canal are limited with regards to inferences about the general population due to: a) failure to report reference ranges based on adequate percentiles, i.e. the 2.5th and 97.5th percentiles [4–9]; b) small sample sizes [4, 6–9]; c) small age ranges [6–8]; and d) sampling in specific populations (e.g., only men or medical staff) [4, 6, 9]. There is a need for population-based data to better understand the distribution of spinal canal parameters in adult populations [4].
Few studies have investigated the role of additional predictors besides the spinal level such as sex, age, body height, body weight, and body mass index (BMI) [4, 5, 10–12]. Again, the study samples were not drawn from a general population and the findings were inconclusive. It remains unclear whether these parameters are associated with the spinal canal parameters.
Several parameters which might differentiate normal from aberrant spinal canals exist–such as the Torg Ratio (TR) [13, 14] or the space available for the cord (SAC) [6]. Therefore we provide population-based MRI reference values, defined as the interval that 95 percent of values of all healthy subjects fall into [15], for the cervical osseous spinal canal (OSC), dural sac (DS), spinal cord (SC), vertebral body (VB) width, TR, and SAC. Furthermore, we study the association of spinal canal parameters with spinal level, sex, age, body height, body weight, and BMI. In contrast to previous studies, we based our analyses on participants from a general population cohort.
Materials and methods
Study sample
Our cross-sectional analyses were based on the Study of Health in Pomerania (SHIP). SHIP was the first study to implement whole-body MRI (wb-MRI) in a general population sample [16]. All participants were drawn from regional population registries. SHIP comprises two independent cohorts: the second follow-up examination of the initial SHIP cohort (SHIP-2) and the baseline examination of an independent cohort established 2008 (SHIP-Trend-0). Both cohorts share the same inclusion criteria: age 20 to 79 years and primary place of residence in West Pomerania. Detailed response statistics are available elsewhere [17]. All participants gave written informed consent. The Medical Ethics committee of the University of Greifswald approved the study protocol. For more details, see [16, 18].
Between July 2008 and March 2011, 5,168 SHIP-2 and SHIP-Trend-0 participants were examined, of whom 2,688 (52.0%) underwent wb-MRI. 2,480 individuals were not willing to attend wb-MRI or were excluded due to contraindications to MRI (for example metallic implants), physical constraints, or claustrophobia. More information on the sample is depicted in Fig 1.
MRI
Wb-MRI was performed according to a standardised protocol on a 1.5-Tesla MRI system (Magnetom Avanto, Siemens Healthcare, Erlangen, Germany), using integrated coil elements and a body phased-array coil [16]. Subjects were positioned supine with arms next to the body. The entire spine was imaged using a sagittal T2-weighted turbo spin echo (TSE) sequence (time-to-repetition 3,760 ms; time-to-echo 106 ms; flip angle 180°; field of view 500 x 500; matrix 448 x 448; slice thickness 4 mm; slice gap 0.4 mm; bandwidth 150 Hz/pixel) and a sagittal T1-weighted TSE sequence (time-to-repetition 676 ms; time-to-echo 12 ms; flip angle 150°; field of view 500 x 500; matrix 448 x 448; slice thickness 4 mm; slice gap 0.4 mm; bandwidth 150 Hz/pixel) in two stations.
Image reading
First, the quality of all images was rated. Sufficient quality was defined as clear depiction of the boundaries of the OSC, DS, and SC without significant artefacts, while insufficient quality was defined as incomplete depiction of the boundaries of one of these structures or abortion of the MRI before completion of the spine sequences. Subjects with insufficient image quality (n = 235; 8.7%) were excluded from the analysis (Fig 1).
Second, standardised spinal canal measurements were performed midsagittal at the craniocaudal center of the vertebral body. This comprised the anterior-posterior diameters of the OSC, DS, SC and the VB at each vertebral level from C2 to C7 (Fig 2). The SAC was defined as the difference between the sagittal diameter of the DS and the sagittal diameter of the corresponding SC for each level from C2 to C7 [6]. The TR was defined as the ratio of the sagittal diameter of the OSC and the sagittal diameter of the corresponding vertebral body for each level from C2 to C7 [13, 14, 19].
All readings were performed by one resident radiologist (C.N.) with more than 6 years of experience using IMPACS ES 5.2 (AGFA Healthcare, Mortsel, Belgium) and were documented in a standardised web-based reading protocol. The reader was blinded to all other medical information. The MR images of a set of 50 randomly chosen individuals were measured twice, one month apart, and independently by the resident radiologist and a senior radiologist (K.H.) to assess intra- and inter-reader reliability. These results are reported in S1 and S2 Tables, respectively, and show good intra- and inter-reader reliability.
Statistical analysis
To account for potential selection bias all reported results are based on inverse-probability-weighted data. Weights accounted for sex, age, occupational status, healthcare consultation, and subjective health status as measured with the first SF-12 [21] item and the SF-12 mental und physical summary component summary score.
The 2.5th percentile and the 97.5th percentile of the measured values defined reference intervals.
Estimates and confidence intervals for age, sex, body weight and body height effects were derived from weighted linear regression models using robust standard errors. Age effects were checked for nonlinearities using fractional polynomials, allowing for the powers (-2–1(.5)1 2 3) and up to 4 degrees of freedom [22]. Decisions between models were made based on a p-value of .01. A post-hoc analysis for the achieved power revealed that in a sample size of 2,453 even very small effect sizes (computed as Cohen's f2 = .01) will be detected at an alpha = .05 with a power >.99. Interpretations of results should rely primarily on the assumed clinical importance of the observed effect sizes instead of their statistical significance.
The imaging data were complete for all 2,453 included MRI participants.
P-values < .05 were described as being statistically significant. Statistical analyses were performed with STATA 14 (2016; StataCorp LP, College Station, Texas, U.S.).
Results
Study sample
There were no clinically relevant differences between MRI participants and non-MRI participants regarding demographic and somatometric measures (Table 1, Fig 1).
Mean age, body height, body weight and BMI in the study sample and in both sexes are shown in Table 2.
Reference interval for spinal canal parameters and vertebral body width
Reference interval boundaries for OSC ranged from 12 to 21 mm in males (min 10 – max 23 mm) and from 12 to 20 mm in females (min 10 –max 23 mm), for DS from 10 to 17 mm in males (min 7 – max 19 mm) and from 9 to 16 mm in females (min 7 –max 18 mm), for SC from 5 to 9 mm in males (min 4 – max 10 mm) and from 5 to 9 mm in females (min 5 –max 11 mm), for VB from 14 to 22 mm in males (min 12 – max 27 mm) and from 12 to 19 mm in females (min 10 –max 25 mm), for SAC from 3 to 10 mm in males (min 0 – max 13 mm) and from 2 to 9 mm in females (min 0 –max 11 mm), and for TR from 0.60 to 1.36 in males (min 0.45 – max 1.83) and from 0.67 to 1.58 in females (min 0.55 –max 1.92) (Table 3).
Associations of spinal canal parameters and vertebral body width with sex and age
Measurements for SC were nearly identical for both sexes at all studied percentiles (Table 3, Fig 3). For OSC, DS, and SAC, the measurements were very similar between both sexes as well (Table 3, Figs 3 and 4). Substantial sex differences were found for VB width, with males having on average 2.1–2.2 mm (95% confidence intervals (CI) ranging from 1.94 to 2.30; p < 0.001) larger VBs. Related effect sizes and CIs are presented in Table 4. Torg ratios were consistently lower in males compared to females by 0.07–0.13 (CIs ranging from 0.06 to 0.14; p < 0.001).
Age has mostly statistically significant but clinically minor associations (effect sizes < 0.2 mm per ten-year age increase) with OSC, DS, SC, TR, and SAC measures. One exception is VB width, for which we found an association with age effects of up to 0.5 mm per ten-year age increase (CIs ranging from 0.13 to 0.56; p < 0.001) (Table 4). A check for nonlinear associations with age revealed only some nonlinear associations with SC but changes were below 1 mm across the entire age range and are therefore not reported.
Associations of spinal canal parameters and vertebral body width with body height, body weight and BMI
Neither body height and body weight nor BMI affect the measurements of the DS and SC in a relevant manner (Table 5). The OSC is only affected by the body height with an increase of approx. 0.2 mm per 10-cm body height increase. Effects of body weight and BMI are negligible. The VB measurements are significantly associated with body height and body weight while BMI has no relevant effect size. Per 10-cm body height increase the VB measurement increases up to 0.81 mm (CIs ranging from 4.42 to 0.92 mm; p < 0.001).
The SAC increases slightly in larger and heavier subjects. TR shows the opposite associations. BMI shows near-to-no effect on both SAC and TR (Table 5).
Discussion
Our study advances the knowledge about the morphology of the cervical spinal canal and its demographic variability in two aspects. First, we are the first to provide population-based reference values for a wide range of spinal canal parameters and vertebral bodies of the entire cervical spine using MRI for an adult Caucasian population. Second, sex, age and somatometric measures show mostly minor associations to spinal canal parameters, except for VB.
OSC, DS and TR measures are smallest at the C6 level in terms of means and 2.5th percentiles in both sexes. Correspondingly, C6 has the largest VB in both sexes regarding means and 97.5th percentiles. This potentially puts lower cervical levels, particularly C6, at higher risk for developing symptomatic stenosis, as proposed previously [2, 3, 10, 12, 23, 24]. The SC dimension is nearly constant across all levels in both sexes. This may be attributable to the fact that the SC is part of the central nervous system and does not contribute to spinal stability. VBs in males are more than 2 mm larger than those in females across all levels. This and the significantly smaller TR could explain why males have a higher risk of myelopathy than females [2, 12, 23].
SAC size is assumed to indicate the functional reserve for SC movement or minor spinal canal changes due to aging, trauma or inflammation [6, 23, 24]. Interestingly, the levels with the smallest mean SAC are C4 in males and C5 in females, while we expected C6 to be the level with the smallest mean SAC. Nonetheless, the levels with the smallest 2.5th percentiles regarding the SAC comprise C5 and C6 in both sexes as well. These values go down to 2 and 3 mm, respectively, and convey different information compared to the previous reported means of about 4 to 7 mm [4–6, 11]. This leads to two possible consequences: a) methodologically, for proper judgment about (normal) measurements one should use the reference range instead of mean values and b) clinically, it is doubtful that SAC is a good indicator for spinal stenosis.
Normal TR is supposed to be around 1.00, and ratios below 0.82 [13, 14] are usually interpreted to indicate stenosis. In our population, the median for both sexes is around 1.00 but the 2.5th percentiles go down to 0.6 (C6) in males and to 0.67 (C6) in females. This suggests that available cut-off values overestimate the probability of having spinal stenosis and should be adapted accordingly [23, 25].
There is no widely-accepted definition of “normal” measurements for the cervical spinal canal measurements [4, 5]. To the best of our knowledge, previous studies based on MRI did not provide proper reference values. Most studies refer to mean values, but this does not describe the range of what might be considered “normal”. Furthermore, some previous values were transposed from radiographic studies to MRI without adaptation. An often cited definition is 13 mm for relative and 10 mm for absolute spinal stenosis [4, 7, 26, 27]. These thresholds are within the normal range or even below the lower reference range in our study. We suggest using the 2.5th percentile for each level for the OSC, DS, SC, SAC and TR measurements; and the 97.5th percentile for the VB measurements, respectively, as shown in Table 3. Yet the clinical importance of values outside the reference ranges require further clinical evaluation.
Ancestry is an additional factor which contributes to the size of the spinal canal and therefore must be take into account [28]. Compared with the results from a Japanese sample [5], which reported only means and standard deviations, our values for the OSC, DS, SC, and SAC are consistently higher. This may be due to Caucasian having larger body builds than Japanese and greater body height is associated with a wider spinal canal [4, 10, 29].
Previous investigations studied the correlation between age and spinal canal size with different results [4, 5, 10]. We show that sex and age have consistent associations with most spinal canal parameters and VB width. Effects are small in most cases and thus have only limited clinical implications. For example, the OSC dimension decreases approx. 1 mm across the entire age range for C2-C7, while the OSC range between the 2.5th and 97.5th percentiles is 9 mm. Only VB width and the VB-dependent TR are related to sex and age in a clinically relevant manner. Again, C6 shows the highest variability. The mean increases from 15.4 mm (at age of 30) to 18 mm (at age of 80). We therefore recommend taking patient age into account when assessing VB width and using the reference values identified here. Our reference values apply to the mean age in our sample. For each 10-year deviation in age from the mean, we suggest adapting the values for VB width with the age-related effect sizes provided in Table 4 using the formula: age effect*(patient age-50).
Body height effect sizes regarding the OSC were similar to age effect sizes. The effect sizes regarding VBs are even larger. Body height does not affect SC. The SAC is larger in larger subjects, this confirms findings of previous studies and therefore, smaller subjects tend to have a greater risk to develop symptoms due to even minor changes to the spinal canal [4, 10, 29]. TR is decreasing with body height, which is contrary to the findings regarding the SAC. Most likely the changes of the VB with the body height causes this decrease. The role of the TR to evaluate the spinal canal is controversial [4, 7, 25, 30, 31]. The diagnostic power of the TR is likely to be low, because this parameter relies heavily on the VB width.
The effect sizes of the body weight and BMI on spinal canal measures are mostly clinically irrelevant. This is somehow surprising because we expected a high BMI as a factor of spinal lipomatosis and therefore contributing to narrowing of the DS as it is shown for the lumbar spine recently [32]. But obesity in terms of high BMI is not linked with a narrow cervical spinal canal according to our findings.
Interindividual variation has more impact compared to the relatively small effect sizes of body height, body weight and BMI. For example, a moderate effect size of 0.19 mm increase of the OSC at C6 per 10-cm increase of the body height results in approx. 1 mm difference between the smallest and the tallest female whereas the difference between the 2.5th and 97.5th percentiles for the OSC at C6 for females is 5 mm. Adapting the measurements is not reasonable because of small effect sizes except for sex and partially age and body height.
This study used a commercially available 1.5 Tesla MRI system while currently 3 Tesla scanners are available for clinical routine use, too. A higher field strength may result on the one hand side in reduced examination times [33–35]. This is of little relevance in the context of this study. Furthermore, spatial resolution may be increased [33, 36]. Yet, any slightly increased resolution would not alter any key conclusions drawn in this study. Therefore we consider our results to be of relevance when using a 3 Tesla scanner.
Our study has several strengths and limitations. One strength is the large sample size drawn at random from a general population. This addresses the limitations of previous studies. Another strength is the good intra- and inter-reader reliability.
A limitation is the measurement of spinal parameters at the craniocaudal center of each vertebral body in the sagittal plane although most degenerative alterations of spinal canal dimensions might take place at the disc level. However, this is a standard procedure for studies examining the spine [4, 5, 7] because measurements at the disc level are less reliable [4, 6, 7] Furthermore, diameter measurements in sagittal planes are more reliable than measurements in axial planes [4]. This study did not intend to identify subjects at risk on an individual approach. Further studies should assess the potential of identifying patients at risk for spinal stenosis based on spinal canal parameters in a prospective case-control study or longitudinal setting.
In conclusion, our study provides MRI-based reference values for the cervical spinal canal parameters in an adult Caucasian population. Except for VB width associations with sex, age and somatometric measures are mostly small and thus have only limited clinical implications. Some available cut-off values may need a revision because they likely overestimate risks and might not be suitable to identify patients at risk of developing symptomatic spinal stenosis.
Supporting information
S1 Table [docx]
Intra-reader-reliability for spinal canal and vertebral body measurements for the two readers for a set of 50 randomly chosen individuals.
S2 Table [docx]
Inter-reader-reliability for spinal canal and vertebral body measurements.
Zdroje
1. Matsumoto M, Fujimura Y, Suzuki N, Nishi Y, Nakamura M, Yabe Y, et al. MRI of cervical intervertebral discs in asymptomatic subjects. J Bone Joint Surg Br. 1998;80(1):19–24. doi: 10.1302/0301-620x.80b1.7929 9460946
2. Morishita Y, Naito M, Hymanson H, Miyazaki M, Wu G, Wang JC. The relationship between the cervical spinal canal diameter and the pathological changes in the cervical spine. European Spine Journal. 2009;18(6):877–83. doi: 10.1007/s00586-009-0968-y 19357877
3. Sasiadek MJ, Bladowska J. Imaging of degenerative spine disease—the state of the art. Adv Clin Exp Med. 2012;21(2):133–42. 23214277
4. Ulbrich EJ, Schraner C, Boesch C, Hodler J, Busato A, Anderson SE, et al. Normative MR cervical spinal canal dimensions. Radiology. 2014;271(1):172–82. doi: 10.1148/radiol.13120370 24475792
5. Kato F, Yukawa Y, Suda K, Yamagata M, Ueta T. Normal morphology, age-related changes and abnormal findings of the cervical spine. Part II: Magnetic resonance imaging of over 1,200 asymptomatic subjects. Eur Spine J. 2012;21(8):1499–507. doi: 10.1007/s00586-012-2176-4 22302162
6. Tierney RT, Maldjian C, Mattacola CG, Straub SJ, Sitler MR. Cervical Spine Stenosis Measures in Normal Subjects. J Athl Train. 2002;37(2):190–3. 12937434
7. Prasad SS O’Malley M, Caplan M, Shackleford IM, Pydisetty RK. MRI Measurements of the Cervical Spine and Their Correlation to Pavlov’s Ratio. Spine. 2003;28(12):1263–8. doi: 10.1097/01.BRS.0000065570.20888.AA 12811269
8. Fradet L, Arnoux P-J, Ranjeva J-P, Petit Y, Callot V. Morphometrics of the Entire Human Spinal Cord and Spinal Canal Measured From In Vivo High-Resolution Anatomical Magnetic Resonance Imaging. Spine. 2014;39(4):E262–E9. doi: 10.1097/BRS.0000000000000125 24253776
9. Ishikawa M, Matsumoto M, Fujimura Y, Chiba K, Toyama Y. Changes of cervical spinal cord and cervical spinal canal with age in asymptomatic subjects. Spinal Cord. 2003;41(3):159–63. doi: 10.1038/sj.sc.3101375 12612618
10. Okada Y, Ikata T, Katoh S, Yamada H. Morphologic analysis of the cervical spinal cord, dural tube, and spinal canal by magnetic resonance imaging in normal adults and patients with cervical spondylotic myelopathy. Spine. 1994;19(20):2331–5. doi: 10.1097/00007632-199410150-00014 7846579
11. Aebli N, Rüegg TB, Wicki AG, Petrou N, Krebs J. Predicting the risk and severity of acute spinal cord injury after a minor trauma to the cervical spine. Spine J. 2013;13(6):597–604. doi: 10.1016/j.spinee.2013.02.006 23523437
12. Nagata K, Yoshimura N, Hashizume H, Muraki S, Ishimoto Y, Yamada H, et al. The prevalence of cervical myelopathy among subjects with narrow cervical spinal canal in a population-based magnetic resonance imaging study: the Wakayama Spine Study. Spine J. 2014;14(12):2811–7. doi: 10.1016/j.spinee.2014.03.051 24709229
13. Torg JS, Pavlov H, Genuario SE, Sennett B, Wisneski RJ, Robie BH, et al. Neurapraxia of the cervical spinal cord with transient quadriplegia. J Bone Joint Surg Am. 1986;68(9):1354–70. 3782207
14. Pavlov H, Torg JS, Robie B, Jahre C. Cervical spinal stenosis: determination with vertebral body ratio method. Radiology. 1987;164(3):771–5. doi: 10.1148/radiology.164.3.3615879 3615879
15. Gräsbeck R. Reference values and reference intervals. McGraw-Hill Yearbook of Science and Technology 2008: McGraw-Hill Education; 2008. p. 286–8.
16. Hegenscheid K, Kühn JP, Völzke H, Biffar R, Hosten N, Puls R. Whole-body magnetic resonance imaging of healthy volunteers: pilot study results from the population-based SHIP study. Rofo. 2009;181(8):748–59. doi: 10.1055/s-0028-1109510 19598074
17. Schmidt CO, Sierocinski E, Hegenscheid K, Baumeister SE, Grabe HJ, Völzke H. Impact of whole-body MRI in a general population study. Eur J Epidemiol. 2015:1–9. doi: 10.1007/s10654-015-9996-6
18. Völzke H, Alte D, Schmidt CO, Radke D, Lorbeer R, Friedrich N, et al. Cohort Profile: The Study of Health in Pomerania. International Journal of Epidemiology. 2011;40(2):294–307. doi: 10.1093/ije/dyp394 20167617
19. Premchandran D, Saralaya VV, Mahale A. Predicting lumbar central canal stenosis—a magnetic resonance imaging study. J Clin Diagn Res. 2014;8(11):RC01–4. doi: 10.7860/JCDR/2014/8448.5097 25584282
20. Torg JS, Corcoran TA, Thibault LE, Pavlov H, Sennett BJ, Naranja RJ Jr., et al. Cervical cord neurapraxia: classification, pathomechanics, morbidity, and management guidelines. Journal of Neurosurgery. 1997;87(6):843–50. doi: 10.3171/jns.1997.87.6.0843 9384393
21. Busija L, Pausenberger E, Haines TP, Haymes S, Buchbinder R, Osborne RH. Adult measures of general health and health-related quality of life: Medical Outcomes Study Short Form 36-Item (SF-36) and Short Form 12-Item (SF-12) Health Surveys, Nottingham Health Profile (NHP), Sickness Impact Profile (SIP), Medical Outcomes Study Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), Quality of Well-Being Scale (QWB), and Assessment of Quality of Life (AQoL). Arthritis Care Res (Hoboken). 2011;63 Suppl 11:S383–412. doi: 10.1002/acr.20541 22588759.
22. Royston P, Sauerbrei W. Multivariable Model—Building: A Pragmatic Approach to Regression Anaylsis based on Fractional Polynomials for Modelling Continuous Variables: Wiley; 2008.
23. Hukuda S, Kojima Y. Sex discrepancy in the canal/body ratio of the cervical spine implicating the prevalence of cervical myelopathy in men. Spine. 2002;27(3):250–3. doi: 10.1097/00007632-200202010-00009 11805686
24. Lee MJ. Prevalence of Cervical Spine Stenosis: Anatomic Study in Cadavers. J Bone Joint Surg Am. 2007;89(2):376. doi: 10.2106/JBJS.F.00437 17272453
25. Herzog RJ, Wiens JJ, Dillingham MF, Sontag MJ. Normal cervical spine morphometry and cervical spinal stenosis in asymptomatic professional football players. Plain film radiography, multiplanar computed tomography, and magnetic resonance imaging. Spine. 1991;16(6 Suppl):S178–86. doi: 10.1097/00007632-199106001-00001 1862411
26. Epstein NE, Epstein JA, Carras R, Murthy VS, Hyman RA. Coexisting cervical and lumbar spinal stenosis: diagnosis and management. Neurosurgery. 1984;15(4):489–96. doi: 10.1227/00006123-198410000-00003 6493458
27. Countee RW, Vijayanathan T. Congenital stenosis of the cervical spine: diagnosis and management. J Natl Med Assoc. 1979;71(3):257–64. 439156
28. Tatarek NE. Variation in the human cervical neural canal. Spine J. 2005;5(6):623–31. doi: 10.1016/j.spinee.2005.07.009 16291101
29. Goto S-i, Umehara J, Aizawa T, Kokubun S. Comparison of cervical spinal canal diameter between younger and elder generations of Japanese. J Orthop Sci. 2010;15(1):97–103. doi: 10.1007/s00776-009-1427-7 20151258
30. Tang Y, Yu M, Liu Z, Sun Y, Liu X. Influence of developmental cervical stenosis on dural sac space. Chin Med J. 2014;127(22):3857–61. 25421180
31. Lindberg PG, Feydy A, Sanchez K, Rannou F, Maier MA. Measures of spinal canal stenosis and relationship to spinal cord structure in patients with cervical spondylosis. Journal of Neuroradiology. 2012;39(4):236–42.
32. Cushnie D, Urquhart JC, Gurr KR, Siddiqi F, Bailey CS. Obesity and spinal epidural lipomatosis in cauda equina syndrome. Spine J. 2017. doi: 10.1016/j.spinee.2017.07.177 28756300.
33. Fries P, Runge VM, Kirchin MA, Watkins DM, Buecker A, Schneider G. Magnetic resonance imaging of the spine at 3 Tesla. Semin Musculoskelet Radiol. 2008;12(3):238–52. doi: 10.1055/s-0028-1083107 18850504.
34. Schmidt GP, Wintersperger B, Graser A, Baur-Melnyk A, Reiser MF, Schoenberg SO. High-resolution whole-body magnetic resonance imaging applications at 1.5 and 3 Tesla: a comparative study. Invest Radiol. 2007;42(6):449–59. doi: 10.1097/01.rli.0000262089.55618.18 17507818.
35. Phalke VV, Gujar S, Quint DJ. Comparison of 3.0 T versus 1.5 T MR: imaging of the spine. Neuroimaging Clin N Am. 2006;16(2):241–8, ix. doi: 10.1016/j.nic.2006.02.005 16731363.
36. Shapiro M. Imaging of the spine at 3 tesla. Neuroimaging Clin N Am. 2012;22(2):315–41, xi-xii. doi: 10.1016/j.nic.2012.03.001 22548935.
Článek vyšel v časopise
PLOS One
2019 Číslo 9
- Tisícileté topoly, mokří psi, stárnoucí kočky a ospalé octomilky – „jednohubky“ z výzkumu 2024/41
- Jaké jsou aktuální trendy v léčbě karcinomu slinivky?
- Může hubnutí souviset s vyšším rizikem nádorových onemocnění?
- Menstruační krev má značný diagnostický potenciál, mimo jiné u diabetu
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
Nejčtenější v tomto čísle
- Graviola (Annona muricata) attenuates behavioural alterations and testicular oxidative stress induced by streptozotocin in diabetic rats
- CH(II), a cerebroprotein hydrolysate, exhibits potential neuro-protective effect on Alzheimer’s disease
- Comparison between Aptima Assays (Hologic) and the Allplex STI Essential Assay (Seegene) for the diagnosis of Sexually transmitted infections
- Assessment of glucose-6-phosphate dehydrogenase activity using CareStart G6PD rapid diagnostic test and associated genetic variants in Plasmodium vivax malaria endemic setting in Mauritania