Abstract
Diffusion-weighted imaging (DWI) can provide valuable structural information about tissues that may be useful for clinical applications in evaluating lumbar foraminal nerve root entrapment. Our purpose was to visualize the lumbar nerve root and to analyze its morphology, and to measure its apparent diffusion coefficient (ADC) in healthy volunteers and patients with lumbar foraminal stenosis using 1.5-T magnetic resonance imaging. Fourteen patients with lumbar foraminal stenosis and 14 healthy volunteers were studied. Regions of interest were placed at the fourth and fifth lumbar root at dorsal root ganglia and distal spinal nerves (at L4 and L5) and the first sacral root and distal spinal nerve (S1) on DWI to quantify mean ADC values. The anatomic parameters of the spinal nerve roots can also be determined by neurography. In patients, mean ADC values were significantly higher in entrapped roots and distal spinal nerve than in intact ones. Neurography also showed abnormalities such as nerve indentation, swelling and running transversely in their course through the foramen. In all patients, leg pain was ameliorated after selective decompression (n = 9) or nerve block (n = 5). We demonstrated the first use of DWI and neurography of human lumbar nerves to visualize and quantitatively evaluate lumbar nerve entrapment with foraminal stenosis. We believe that DWI is a potential tool for diagnosis of lumbar nerve entrapment.
Keywords: Diffusion-weighted imaging, Apparent diffusion coefficient, Lumbar foraminal stenosis, Magnetic resonance (MR) imaging, Neurography
Introduction
In patients with degenerative lumbar disease, lumbar foraminal stenosis often causes nerve root entrapment, which is characterized by radicular symptoms affecting the leg [1–6]. This condition unfortunately results in failed back surgery syndrome and is the cause of continued postoperative pain because of the difficulty of making a correct diagnosis [7, 8]. Conventional magnetic resonance (MR) imaging (MRI) has been inadequate for evaluating symptomatic foraminal stenosis, because of the high incidence of false-positives found in asymptomatic elderly patients [9]. New diagnostic imaging techniques to detect lumbar nerve root entrapment are urgently required.
Diffusion-weighted imaging (DWI) based on MRI can provide valuable information regarding the microstructure of tissues by monitoring the random movement of water molecules, which is restricted in tissues by applying a motion probing gradient (MPG) in some directions [10–13]. The diffusion data can be used for determination of quantitative diffusion values such as the apparent diffusion coefficient (ADC). DWI has been widely used for clinical applications in evaluation of the central nervous system for the diagnosis of diseases such as acute brain stroke [14]. Recently, it has been reported that DWI is useful for the evaluation and diagnosis of lesions such as multiple sclerosis [15, 16] and peripheral nerve compression disorders such as carpal tunnel syndrome [17–19], using diffusion values such as ADC. An increase in the mean diffusivity (ADC) values was observed in injured nerves with demyelination [15, 16, 19, 20]. Imaging of the spinal cord is challenging because of technical limitations such as the relatively small size of the cord, susceptibility artifacts because of tissue–bone interfaces, and the motion artifacts arising from respiratory activity [21].
To date, quantitative DWI has not been applied to evaluate the pathology of lumbar nerve root entrapment, which may contribute to radicular symptoms in patients with lumbar foraminal stenosis. The purpose of this study was to measure ADC of the fourth and fifth lumbar nerve roots (at L4 and L5) and the first sacral nerve root (at S1) in healthy volunteers and patients with lumbar foraminal stenosis using MRI at 1.5 T. This study also investigates the morphology of the nerve root in symptomatic foraminal stenosis using neurography [22, 23]. This study included those patients in whom performing a selective decompression or a selective nerve root block ameliorated leg pain.
Materials and methods
Subjects
Fourteen patients [8 male, 6 female, median age 62.0 years (40–76)] who had unilateral radicular symptoms affecting leg pain with lumbar foraminal stenosis and without central lumbar canal stenosis were studied using MRI. The final diagnoses were as follows: 11 foraminal stenoses, 1 lateral recess stenosis, 1 extraforaminal disk herniation, and 1 intraforaminal disk herniation (Table 1). Fourteen healthy volunteers [7 male, 7 female, median age 55 years (37–75 years)] served as controls. The diagnoses were based on neurologic symptoms, a selective nerve root block, and a combination of diagnostic images including plain radiographs, computerized tomography (CT), and MRI. The locations of symptomatic foraminal stenosis in 14 patients were 10 at the L5 nerve root, 4 at the L4 nerve root, and none at the S1 nerve root. The patient exclusion criteria were as follows: (1) those who had lumbar spine surgery before this DWI study, (2) those who had multiple levels of lumbar canal stenosis, and (3) those who had myelopathy. Nine patients underwent surgical treatment for lumbar foraminal stenosis: one medial fenestration and eight total facetectomies with spinal fusion. Leg pain was ameliorated in all selected patients after selective decompression. The operative result was evaluated using a visual analog scale (VAS) scoring system from 100 (extreme amount of pain) to 0 (no pain).
Table 1.
Summary of diagnosis, visual analog scale (VAS), and surgical method in patients
| No. | Age (years) | Diagnosis | Symptomatic root | VAS | Surgical method | |
|---|---|---|---|---|---|---|
| Presurgery | Postsurgery | |||||
| 1 | 76 | Foraminal stenosis | L4 (Rt) | 60 | 20 | Facetectomy + TLIF |
| 2 | 61 | Foraminal stenosis | L5 (Rt) | 100 | 0 | Facetectomy + TLIF |
| 3 | 40 | Foraminal stenosis | L5 (Rt) | 100 | 0 | Facetectomy + TLIF |
| 4 | 71 | Lateral recess stenosis | L5 (Lt) | 70 | 10 | Medial fenestration |
| 5 | 76 | Foraminal stenosis | L5 (Lt) | 60 | 10 | Root block |
| 6 | 65 | Foraminal stenosis | L5 (Rt) | 80 | 0 | Facetectomy + TLIF |
| 7 | 54 | Extraforaminal disk herniation | L4 (Rt) | 40 | 0 | Root block |
| 8 | 65 | Foraminal stenosis | L4 (Rt) | 90 | 0 | Root block |
| 9 | 47 | Intraforaminal disk herniation | L5 (Lt) | 80 | 0 | Root block |
| 10 | 68 | Foraminal stenosis | L5 (Lt) | 80 | 15 | Facetectomy + TLIF |
| 11 | 56 | Foraminal stenosis | L5 (Lt) | 60 | 10 | Root block |
| 12 | 66 | Foraminal stenosis | L5 (Rt) | 90 | 0 | Facetectomy + TLIF |
| 13 | 61 | Foraminal stenosis | L4 (Rt) | 75 | 20 | Facetectomy + TLIF |
| 14 | 64 | Foraminal stenosis | L5 (Lt) | 90 | 15 | Facetectomy + TLIF |
| Mean | 62 | 76.8 | 7.1 | |||
Rt right, Lt left
MRI protocol
A 1.5-T MRI scanner (Philips Medical Systems, Philips Electronics Japan, Ltd. Achieva 1.5 T Nova Dual) was used in this study. Subjects were scanned in the supine position using a Sense XL Torso coil. DWI was performed using diffusion-weighted whole-body imaging with a background body signal suppression (DWIBS) and short TI inversion recovery–echo planar imaging (STIR–EPI) sequence with a free breathing scanning technique, which allows screening for malignancies in the whole body in a manner similar to that used in positron emission tomography (PET) [24, 25]. The following imaging parameters were set: 1,000 s/mm2b value, MPG direction phase, 7,130/66/170 ms frequency and slice for TR/TE/TI, respectively, axial slice orientation, 4/−1 mm slice thickness/gap, 400 mm field of view (FOV), 160 × 125 matrix, 2.5 × 3.19 × 4.0 mm3 actual voxel size, 1.6 × 1.6 × 4.0 mm3 calculated voxel size, 6 excitations, 70 signals averaged, 9 min 18 s scan time.
Image analysis
After DWI data were transferred to a PC, PRIDE software (Philips Medical Systems) was used for neurography and ADC mapping. Neurography in the coronal plane was constructed from coronal maximum intensity projection (MIP) on DWI with b values of 1,000 and an inverted black-and-white gray scale. Neurography is based on the concept of DWIBS, which enables a multiple thin-slice scan with adequate signal-to-noise ratio without breath-hold. This sequence depicts tissues with an impeded diffusion such as spinal cord, and peripheral nerves. Furthermore, the use of a short T1 inversion recovery for fat suppression and heavy diffusion weighting will ensure the suppression of unwanted signals, like those of fat, muscles, tendons, and blood vessels. Using this technique, the trajectory of the nerves is well visualized on MIP images. Circular regions of interest (ROIs) were placed in anatomic locations on the lumbar nerve root in expected axial ADC maps based on information from the coronal and sagittal image and the software gave the measured quantitative parameters: mean ADC value (Fig. 1). ROI placement was made at two levels: the proximal nerve root at the dorsal root ganglia (DRG) and the distal spinal nerve. Mean ADC values were calculated with the software at two levels of the nerve root from L4–S1 in patients and healthy volunteers (Fig. 2). ROIs smaller than the nerve were selected to avoid partial volume effects when the mean ADC was calculated. The neurography was also used for evaluation of morphometric parameters such as angulation, length, and width of the DRG in patients and healthy volunteers and to investigate abnormalities such as swelling and indentation of nerve roots in their course through the foramen (Fig. 2). All DWI analyses were performed by two radiologists and three trained spine surgeons.
Fig. 1.
Example of mean ADC values on a nerve root in expected axial ADC maps based on information from the coronal and sagittal image using the software
Fig. 2.
Schematic drawing showing measurement of angulation of dorsal root ganglia (a), length of dorsal root ganglia (b), and width of dorsal root ganglia (c)
Statistical analysis
Statistical analyses were performed with Stat View software (version 5.0). A post hoc test was used to compare ADC between healthy volunteers and patients with lumbar foraminal stenosis at L4–S1 nerve roots. P < 0.05 was considered significant.
All subjects were studied after informed consent, and the study had prior approval of the Chiba University ethics committee.
Results
Normal subjects
In healthy volunteers, neurography clearly visualized all L2–S1 nerve roots and spinal nerves that symmetrically coursed obliquely downward (Fig. 3). Mean (±SD) L4–S1 angulations of DRG were 38.5 ± 3.3 degrees for L4, 39.0 ± 4.8 degrees for L5, and 25.4 ± 4.6 degrees for S1, and differences were not found between the right and the left side nerves. The angulations of DRG decreased from L4 to S1 (Fig. 4a). Mean (±SD) L4–S1 sizes of DRG (in length and in width) were 7.3 ± 1.1 and 5.0 ± 0.8 for L4, 9.6 ± 1.5 and 6.2 ± 0.8 for L5, and 12.4 ± 1.9 and 5.6 ± 0.7 for S1, and differences were not found between the right and the left side nerves. The length of DRG increased from L4 to S1 and the width of DRGs increased progressively to a maximum at L5 and decreased at S1 (Fig. 4b). Mean (±SD) L4–S1 ADC values of nerves (proximal nerve root and distal spinal nerve) were 1.228 ± 0.121 × 10−3 and 1.059 ± 0.174 × 10−3 mm2/s for L4, 1.247 ± 0.068 × 10−3 and 1.144 ± 0.139 × 10−3 mm2/s for L5, and 1.296 ± 0.085 × 10−3 and 1.169 ± 0.099 × 10−3 mm2/s for S1, and differences were not found between the right and left side nerves at the same lumbar segment. Mean ADC was higher in the nerve root than in the distal spinal nerve (Fig. 4c).
Fig. 3.
Coronal diffusion-weighted image of a lumbar nerve root in a healthy volunteer. a The b = 0 image, b neurography using b = 1,000, as described in the “Materials and methods”. L4, L5, and S1 indicate the fourth and fifth lumbar root and first sacral root. c The calculated ADC map based on the DWI
Fig. 4.
The angulation of dorsal root ganglia (a), the size of dorsal root ganglia in length and in width (b), and mean ADC values at proximal nerve root and distal nerve (c) in healthy volunteers. The angulations of the ganglia remain 40° for L4 and L5, decreasing acutely to 25° at S1. The length of the ganglia increased from L4 to S1 and the width increased progressively to a maximum at L5 and decreased at S1. Mean L4–S1 ADC values of nerve were approximately 1.2 × 10−3 mm2/s in the nerve root higher than 1.1 × 10−3 mm2/s in the distal spinal nerve
Subjects with foraminal stenosis
In patients, neurography frequently showed abnormalities such as nerve indentation, swelling, and running transversely in their course through the foramen (Figs. 5, 6). For L5–S1 foraminal stenosis, the entrapped nerve shifted upward and ran transversely in the foramen (Fig. 5). For intraforaminal disk hernia, neurography can reveal the L5 nerve swelling and indentation clearly. The ADC of L5 nerve on the side of entrapment was 1.71 × 10−3 mm2/s, higher than the 1.09 × 10−3 mm2/s on the intact side. On the other hand, the ADC of intact S1 nerve was 1.39 × 10−3 mm2/s on the right side and 1.37 × 10−3 mm2/s on the left side, and differences were not found between the right and left side (Fig. 6).
Fig. 5.
Diffusion-weighted image of a lumbar nerve root in a 66-year-old man with L5–S1 foraminal stenosis (referenced as patient no. 12 in Table 1). a Parasagittal T1-weighted image. The arrowhead shows L5 foraminal stenosis with loss of the perineural fat signal. b The coronal b = 0 image. c The coronal neurography using b = 1,000 image, as described in the “Materials and methods”. L4, L5, and S1 indicate the fourth and fifth lumbar root and first sacral root. d The coronal calculated ADC map based on DWI. The arrow shows the entrapped nerve shifted upward and ran transversely in the foramen
Fig. 6.
Diffusion-weighted image of a lumbar nerve root in a 47-year-old man with L5–S1 intraforaminal disk hernia (referenced as patient no. 9 in Table 1). a Parasagittal T1-weighted image. The arrowhead shows L5 foraminal stenosis with loss of the perineural fat signal. b Axial T2-weighted image. The arrowhead shows intraforaminal disk hernia on the left side. c The coronal b = 0 image. d The coronal neurography using b = 1,000 image, as described in the “Materials and methods”. L4, L5, and S1 indicate the fourth and fifth lumbar root and first sacral root. e The coronal calculated ADC map based on DWI. The arrow shows nerve swelling and indentation compared with intact side
The mean ADC of proximal nerve roots on the side of entrapment was 1.387 ± 0.172 × 10−3 mm2/s, higher than the 1.206 ± 0.105 × 10−3 mm2/s on the intact side; and distal spinal nerve ADC on the side of entrapment was 1.507 ± 0.162 × 10−3 mm2/s, higher than the 1.154 ± 0.116 × 10−3 mm2/s seen on the intact side (P < 0.001, Table 2; Fig. 7a). The comparisons of stenotic level (L4 n = 4, L5 n = 10) to non-stenotic level (S1 n = 14) in the same subject are also shown in Fig. 7b. The differences of ADC values (nerve root and distal spinal nerve) between entrapped and intact side were 0.181 ± 0.171 × 10−3 mm2/s and 0.354 ± 0.173 × 10−3 mm2/s, higher than the 0.013 ± 0.087 × 10−3 mm2/s (P < 0.01) and the 0.010 ± 0.121 × 10−3 mm2/s (P < 0.001) on the non-stenotic level (S1) between right and left side in the same subject.
Table 2.
Summary of apparent diffusion coefficient (ADC), angulation of dorsal root ganglia (DRG), and size (length and width) of DRG in patients
| No. | ADC (×10−3 mm2/s) | DRG angulation (°) | DRG size (mm) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nerve root | Spinal nerve | Length | Width | |||||||
| Entrapped | Intact | Entrapped | Intact | Entrapped | Intact | Entrapped | Intact | Entrapped | Intact | |
| 1 | 1.735 | 1.157 | 1.52 | 1.321 | 69 | 62 | 13.5 | 10.9 | 8.3 | 6.8 |
| 2 | 1.366 | 1.306 | 1.441 | 1.064 | 75 | 51 | 13.1 | 7.6 | 6.1 | 5.1 |
| 3 | 1.125 | 1.155 | 1.812 | 1.159 | 70 | 53 | 14.4 | 10.1 | 7 | 5.7 |
| 4 | 1.436 | 1.2 | 1.465 | 1.125 | 30 | 32 | 8 | 6.2 | 5.1 | 4.4 |
| 5 | 1.444 | 1.18 | 1.432 | 1.056 | 37 | 41 | 13.7 | 10.9 | 6.5 | 5.3 |
| 6 | 1.339 | 1.236 | 1.711 | 1.118 | 59 | 43 | 10.7 | 6.8 | 7 | 5.5 |
| 7 | 1.568 | 1.278 | 1.421 | 1.183 | 51 | 39 | 9.6 | 5.7 | 6 | 5 |
| 8 | 1.305 | 1.028 | 1.355 | 1.038 | 63 | 39 | 8.6 | 7.3 | 5.3 | 5 |
| 9 | 1.342 | 1.074 | 1.712 | 1.09 | 42 | 40 | 15.4 | 11.1 | 6.7 | 6.1 |
| 10 | 1.232 | 1.261 | 1.319 | 1.252 | 67 | 55 | 9.4 | 7.4 | 6.2 | 5.6 |
| 11 | 1.641 | 1.326 | 1.311 | 1.149 | 29 | 30 | 9.8 | 7.3 | 5.5 | 5.1 |
| 12 | 1.443 | 1.278 | 1.74 | 1.414 | 58 | 41 | 18.6 | 11.6 | 6.1 | 4.8 |
| 13 | 1.102 | 1.033 | 1.36 | 0.954 | 75 | 58 | 12.9 | 8.9 | 5.9 | 4.5 |
| 14 | 1.345 | 1.378 | 1.505 | 1.23 | 53 | 45 | 15.8 | 12.1 | 6.6 | 5.1 |
| Mean | 1.387*** | 1.206 | 1.507*** | 1.154 | 55.6* | 44.9 | 12.4** | 8.9 | 6.3*** | 5.3 |
* P < 0.05, **P < 0.01, ***P < 0.001 (nerves on the entrapped side vs. the intact side)
Fig. 7.
Mean ADC values at the proximal nerve root and distal spinal nerve in patients with foraminal stenosis (a). The mean ADC of the proximal nerve root on the side of entrapment is 1.387 ± 0.172 × 10−3 mm2/s and higher than the 1.206 ± 0.105 × 10−3 mm2/s seen on the intact side; that of the distal nerve root on the entrapment side is 1.507 ± 0.162 × 10−3 mm2/s and higher than the 1.154 ± 0.116 × 10−3 mm2/s on the intact side. Comparisons of stenotic level (L4 n = 3, L5 n = 9) to non-stenotic level (S1 n = 12) in the same subject (b). The differences of ADC values (nerve root and distal spinal nerve) between entrapped and intact side were 0.181 ± 0.171 × 10−3 and 0.354 ± 0.173 × 10−3 mm2/s higher than the 0.013 ± 0.087 × 10−3 and the 0.010 ± 0.121 × 10−3 mm2/s on the non-stenotic level (S1) between right and left side
The angulation of DRG on the side of entrapment was 55.6 ± 15.8°, more than the 44.9 ± 9.5° on the intact side (P < 0.05, Table 2). The sizes of DRG (in length and in width) on the side of entrapment were 12.4 ± 3.1 and 6.3 ± 0.8 mm, more than the 8.9 ± 2.2 mm (P < 0.01) and 5.3 ± 0.6 mm (P < 0001) on the intact side (Table 2).
Nine patients underwent surgical treatment for lumbar foraminal stenosis: one medial fenestration without abnormal nerve course, and eight total facetectomies and transforaminal interbody fusion (TLIF) with abnormal nerve course such as transverse running. In all of the patients, the nerve root compression in the narrowed lumbar foramen was observed and radicular pain was ameliorated after selective decompression. The average VAS scores of 12 patients were significantly improved from 76.8 before surgery to 7.1 one month after surgical method including root block (Table 1).
Discussion
Lumbar foraminal stenosis is a condition in which a nerve root or spinal nerve is entrapped in the narrowed lumbar foramen in degenerative lumbar spinal disorders [1–6]. The incidence of nerve root entrapment has been reported to be between 8 and 11% in degenerative lumbar disease [26, 27]. A higher incidence of foraminal stenosis is found in the lower lumbar segments [28, 29]. Jenis and An [4] reported that the most common roots involved are the L5 root (75%), followed by the L4 root (15%), the L3 root (5%), and the L2 root (4%), which is consistent with our findings. In its clinical presentation, severe leg pain at rest and limited lumbar extension to the painful side (Kemp’s sign) were observed at high frequency [27]. Although imaging studies including radiography, CT, and MRI [30–33] provide an effective means for evaluating the foraminal stenosis, these conventional imaging techniques do not detect foraminal stenosis with any certainty because false-positive findings may be frequently observed. Evaluation of clinical findings and selective nerve root infiltration and block are necessary to make a correct diagnosis [34]. This condition unfortunately results in failed back surgery syndrome because it is difficult to make a correct diagnosis, for which advanced neuroimaging techniques are required.
In this study, we have shown that DWIBS can clearly show lumbar nerve roots and determine ADC values of the nerve roots in the patients and healthy volunteers using MRI at 1.5 T. DWIBS using STIR–EPI sequences and a free breathing scanning technique can provide 3D reconstructed images for whole-body imaging with adequate fat suppression that may allow us to use this method, as well as PET scanning, as a screening tool for malignancies [24, 25]. Since tumors have larger cells and higher cellularity than normal tissue, the ADC values of tumors may be decreased [35]. Although peripheral nerves cannot be selectively visualized by the conventional MRI using T1- and T2-weighted imaging, Takahara et al. [23] have demonstrated the feasibility of whole-body magnetic resonance neurography with the use of DWI that could depict tissues with an impeded diffusion such as tumors, brain, spinal cords, and peripheral nerves. In this study, DWIBS can provide DWI and neurography of an entire lumbar nerve root in about 10 min. In morphometric analysis of healthy volunteers, the angulations of the ganglia remain 40° at L4 and L5, decreasing acutely to 25° at S1. The length of the ganglia increased from L4 to S1 and the width increased progressively to a maximum at L5 and decreased at S1. Our results are consistent with those reported by Cohen et al. [28] and Hasegawa et al. [29, 30]. On the other hand, in patients, the angulation and the size of DRG on the side of entrapment were higher than on the intact side, indicating abnormalities such as swelling and transverse running of nerve roots in the foramen. Moreover, the mean ADC in nerve root entrapment with foraminal stenosis was higher than in intact nerve roots.
Olmarker et al. [36] reported that slow onset of compression caused edema and demyelination in spinal nerve roots of the pig cauda equine. MacDonald et al. [20] used a mouse brain injury model and showed that relative anisotropy and axial diffusivity were reduced by 6 h to 4 days after trauma, corresponding to axonal injury, while 1–4 weeks after trauma, relative anisotropy remained decreased, whereas radial diffusivity increased, corresponding to demyelination, edema, and persistent axonal injury. Previous studies of ADC values in central nerve lesions such as spinal cord injury and multiple sclerosis and peripheral nerve compression such as found in carpal tunnel syndrome are controversial [15]. To date, there are no studies assessing ADC values of lumbar nerve root using DWI. In this present study, mean ADC values in entrapped nerve roots were higher than they were in intact nerve roots, suggesting demyelination and edema by slow compression caused by an increased degree of diffusion as indicated by ADC compared to that of normal tissue microstructure. Our study also demonstrated that neurography can provide anatomical information and accurate localization of nerve compression in the foramen, which can be helpful in surgical planning. In this study, fenestration was performed in a patient who was presurgically diagnosed with lateral recess stenosis without nerve course abnormality, such as transverse nerve running, on neurography. On the other hand, in patients who were diagnosed with foraminal stenosis with nerve course abnormality on neurography, facetectomy was selected. In all of the patients, radicular pain was ameliorated after selective decompression.
Almost all previous studies used MRI at 1.5 T, so further studies are needed using a stronger magnetic field to significantly improve image quality, for example, by reduction of the signal-to-noise ratio in MRI.
We acknowledge that our study has several limitations. The first limitation is that a small number of subjects were investigated. Further studies are needed to investigate whether our findings are valid in a large population. Second, we could not repeat the DWI after surgery because of artifacts of spinal instrumentation such as a pedicle screw system. Third, ADC maps were limited because the tissue contrast between nerves and surrounding tissues is poor. Therefore, the ADC values were measured within ROI that was placed in anatomic locations on the nerves using neurography.
Conclusion
This preliminary study demonstrates that neurography can be used to visualize abnormalities such as nerve indentation, swelling, and running transversely in their course through the foramen and to quantitatively evaluate lumbar nerve entrapment in patients with foraminal stenosis. We believe that DWI has the potential to be used as a tool for the diagnosis of lumbar nerve entrapment.
Acknowledgments
We did not receive grants or external funding in support of our research or preparation of this manuscript. We did not receive payments or other benefits or a commitment or agreement to provide such benefits from commercial entity.
References
- 1.Putti V. New conceptions in the pathogenesis of sciatic pain. Lancet. 1927;2:53–60. doi: 10.1016/S0140-6736(01)30667-0. [DOI] [Google Scholar]
- 2.Bose K, Balasubramaniam P. Nerve root canals of the lumbar spine. Spine. 1984;9:16–18. doi: 10.1097/00007632-198401000-00005. [DOI] [PubMed] [Google Scholar]
- 3.Nowicki BH, Haughton VM, Schmidt TA, Lim TH, An HS, Riley LH, 3rd, Yu L, Hong JW. Occult lumbar lateral spinal stenosis in neural foramina subjected to physiologic loading. Am J Neuroradiol. 1996;17:1605–1614. [PMC free article] [PubMed] [Google Scholar]
- 4.Jenis LG, An HS. Spine update. Lumbar foraminal stenosis. Spine. 2000;25:389–394. doi: 10.1097/00007632-200002010-00022. [DOI] [PubMed] [Google Scholar]
- 5.Lee C, Rauschning W, Glenn W. Lateral lumbar spinal canal stenosis: classification, pathologic anatomy, surgical decompression. Spine. 1988;13:313–320. doi: 10.1097/00007632-198803000-00015. [DOI] [PubMed] [Google Scholar]
- 6.Crock H. Normal, pathologic anatomy of the lumbar spinal nerve root canals. J Bone Joint Surg Br. 1981;63B:487–490. doi: 10.1302/0301-620X.63B4.7298672. [DOI] [PubMed] [Google Scholar]
- 7.Burton R, Kirkaldy-Willis W, Yong-Hing K, Heithoff K. Causes of failure of surgery on the lumbar spine. Clin Orthop. 1981;157:191–197. [PubMed] [Google Scholar]
- 8.MacNab I. Negative disc exploration: an analysis of the causes of nerve root involvement in sixty-eight patients. J Bone Joint Surg Am. 1971;53:891–903. [PubMed] [Google Scholar]
- 9.Aota Y, Niwa T, Yoshikawa K, Fujiwara A, Asada T, Saito T. Magnetic resonance imaging and magnetic resonance myelography in the presurgical diagnosis of lumbar foraminal stenosis. Spine. 2007;32:896–903. doi: 10.1097/01.brs.0000259809.75760.d5. [DOI] [PubMed] [Google Scholar]
- 10.Basser PJ, Jones DK. Diffusion tensor MRI: theory, experimental design and data analysis-a technical review. NMR Biomed. 2002;15:456–467. doi: 10.1002/nbm.783. [DOI] [PubMed] [Google Scholar]
- 11.Beaulieu C, Allen PS. Determinants of anisotropic water diffusion in nerves. Magn Reson Med. 1994;31:394–400. doi: 10.1002/mrm.1910310408. [DOI] [PubMed] [Google Scholar]
- 12.Beaulieu C, Does MD, Snyder RE, Allen PS. Changes in water diffusion due to Wallerian degeneration in peripheral nerve. Magn Reson Med. 1996;36:627–631. doi: 10.1002/mrm.1910360419. [DOI] [PubMed] [Google Scholar]
- 13.Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B. 1996;111:209–219. doi: 10.1006/jmrb.1996.0086. [DOI] [PubMed] [Google Scholar]
- 14.Minematsu K, Fisher M, Li L, Davis MA, Knapp AG, Cotter RE, McBurney RN, Sotak CH. Diffusion-weighted magnetic resonance imaging: rapid and quantitative detection of focal brain ischemia. Neurology. 1992;42:235–240. doi: 10.1212/wnl.42.1.235. [DOI] [PubMed] [Google Scholar]
- 15.Ohgiya Y, Oka M, Hiwatashi A, Liu X, Kakimoto N, Westesson PA, Sven E, Ekholm SE. Diffusion tensor MR imaging of the cervical spinal cord in patients with multiple sclerosis. Eur Radiol. 2007;17:2499–2504. doi: 10.1007/s00330-007-0672-4. [DOI] [PubMed] [Google Scholar]
- 16.Lin X, Tench CR, Morgan PS, Constantinescu CS. Use of combined conventional and quantitative MRI to quantify pathology related to cognitive impairment in multiple sclerosis. J Neurol Neurosurg Psychiatry. 2008;79:437–441. doi: 10.1136/jnnp.2006.112177. [DOI] [PubMed] [Google Scholar]
- 17.Hiltunen J, Suortti T, Arvela S, Seppa M, Joensuu R, Hari R. Diffusion tensor imaging and tractography of distal peripheral nerves at 3 T. Clin Neurophysiol. 2005;116:2315–2323. doi: 10.1016/j.clinph.2005.05.014. [DOI] [PubMed] [Google Scholar]
- 18.Khalil C, Hancart C, Le Thuc V, Chantelot C, Chechin D, Cotton A. Diffusion tensor imaging and tractography of the median nerve in carpal tunnel syndrome: preliminary results. Eur Radiol. 2008;18:2283–2291. doi: 10.1007/s00330-008-0971-4. [DOI] [PubMed] [Google Scholar]
- 19.Kabakci N, Gürses B, Firat Z, Bayram A, Uluğ AM, Kovanlıkaya A, Kovanlıkaya İ. Diffusion tensor imaging and tractography of median nerve: normative diffusion values. Am J Roentgenol. 2007;189:923–927. doi: 10.2214/AJR.07.2423. [DOI] [PubMed] [Google Scholar]
- 20.MacDonald CL, Dikranian K, Bayly P, Holtzman D, Brody D. Diffusion tensor imaging reliably detects experimental traumatic axonal injury and indicates approximate time of injury. J Neurosci. 2007;27:11869–11876. doi: 10.1523/JNEUROSCI.3647-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Fujiyoshi K, Yamada M, Nakamura M, Yamane J, Katoh H, Kitamura K, Kawai K, Okada S, Momoshima S, Toyama Y, Okano H. In vivo tracing of neural tracts in the intact and injured spinal cord of marmosets by diffusion tensor tractography. J Neurosci. 2007;27:11991–11998. doi: 10.1523/JNEUROSCI.3354-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Tsuchiya K, Imai M, Tateishi H, Nitatori T, Fujikawa A, Takemoto S. Neurography of the spinal nerve roots by diffusion tensor scanning applying motion-probing gradients in six directions. Magn Reson Med Sci. 2007;6:1–5. doi: 10.2463/mrms.6.1. [DOI] [PubMed] [Google Scholar]
- 23.Yamashita T, Kwee TC, Takahara T. Whole-body magnetic resonance neurography. N Engl J Med. 2009;361:538–539. doi: 10.1056/NEJMc0902318. [DOI] [PubMed] [Google Scholar]
- 24.Takahara T, Imai Y, Yamashita T, Yasuda S, Nasu S, Cauteren M. Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med. 2004;22:275–282. [PubMed] [Google Scholar]
- 25.Kwee TC, Takahara T, Ochiai R, Nievelstein RAJ, Luijten PR. Diffusion-weighted whole-body imaging with background body signal suppression (DWIBS): features and potential applications in oncology. Eur Radiol. 2008;18:1937–1952. doi: 10.1007/s00330-008-0968-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kunogi J, Hasue M. Diagnosis and operative treatment of intraforaminal and extraforaminal nerve root decompression. Spine. 1991;16:1312–1320. doi: 10.1097/00007632-199111000-00012. [DOI] [PubMed] [Google Scholar]
- 27.Porter R, Hibbert C, Evans C. The natural history of root entrapment syndrome. Spine. 1984;9:418–421. doi: 10.1097/00007632-198405000-00017. [DOI] [PubMed] [Google Scholar]
- 28.Cohen M, Wall E, Brown R, Rydevik B, Garfin S. Cauda equina anatomy: II. Extrathecal nerve roots and dorsal root ganglia. Spine. 1990;15:1248–1251. doi: 10.1097/00007632-199012000-00003. [DOI] [PubMed] [Google Scholar]
- 29.Hasegawa T, Mikawa Y, Watanabe R, An HS. Morphometric analysis of the lumbosacral nerve roots and dorsal root ganglia by magnetic resonance imaging. Spine. 1996;21:1005–1009. doi: 10.1097/00007632-199605010-00001. [DOI] [PubMed] [Google Scholar]
- 30.Hasegawa T, An H, Haughton V, Nowicki B. Lumbar foraminal stenosis: critical heights of the intervertebral discs and foramina. J Bone Joint Surg. 1995;77:32–38. [PubMed] [Google Scholar]
- 31.Kirkaldy-Willis W, Wedge J, Yong-Hing K, Tchang S, Kjorompay V, Shannon R. Lumbar spinal nerve lateral entrapment. Clin Orthop. 1982;169:171–178. [PubMed] [Google Scholar]
- 32.Vanderlinden R. Subarticular entrapment of the dorsal root ganglion as a cause of sciatic pain. Spine. 1984;9:19–22. doi: 10.1097/00007632-198401000-00006. [DOI] [PubMed] [Google Scholar]
- 33.Krudy AG. MR myelography using heavily T2-weighted fast spin-echo pulse sequences with fat presaturation. Am J Roentgenol. 1992;159:1315–1320. doi: 10.2214/ajr.159.6.1442408. [DOI] [PubMed] [Google Scholar]
- 34.Herron L. Selective nerve root block in patient selection for lumbar surgery: Surgical results. J Spinal Disord. 1989;2:75–79. doi: 10.1097/00002517-198906000-00002. [DOI] [PubMed] [Google Scholar]
- 35.Inada Y, Matsuki M, Nakai G, Tatsugami F, Tanikake M, Narabayashi I, Yamada T, Tsuji M. Body diffusion-weighted MR imaging of uterine endometrial cancer: is it helpful in the detection of cancer in nonenhanced MR imaging? Eur J Radiol. 2009;70:122–127. doi: 10.1016/j.ejrad.2007.11.042. [DOI] [PubMed] [Google Scholar]
- 36.Olmarker K, Rydevik B, Holm S. Edema formation in spinal nerve roots induced by experimental, graded compression: an experimental study on the pig cauda equina with special reference to differences in effects between rapid and slow onset of compression. Spine. 1989;14:569–573. doi: 10.1097/00007632-198906000-00003. [DOI] [PubMed] [Google Scholar]







