Literature DB >> 30158352

Long-term Effect and Predictive Factors of Motor Cortex and Spinal Cord Stimulation for Chronic Neuropathic Pain.

Takafumi Tanei1, Yasukazu Kajita2, Satoshi Maesawa3, Daisuke Nakatsubo3, Kosuke Aoki3, Hiroshi Noda4, Shigenori Takebayashi1, Norimoto Nakahara1, Toshihiko Wakabayashi3.   

Abstract

The long-term effects of motor cortex stimulation (MCS) and spinal cord stimulation (SCS) remain unknown. To identify the long-term effects after MCS or SCS and determine any associated predictive factors for the outcomes. Fifty patients underwent MCS (n = 15) or SCS (n = 35) for chronic neuropathic pain. The degree of pain was assessed preoperatively, at 1, 6, and 12 months after surgery, and during the time of the last follow-up using Visual Analog Scale (VAS). Percentage of pain relief (PPR) was calculated, with "long-term effect" defined as PPR ≥ 30% and the presence of continued pain relief over 12 months. Outcomes were classified into excellent (PPR ≥ 70%) and good (PPR 30-69%) sub-categories. Long-term effects of MCS and SCS were observed in 53.3% and 57.1% of the patients, respectively. There were no predictive factors of long-term effects identified for any of the various preoperative conditions. However, the VAS at 1 month after surgery was significantly associated with the long-term effects in both MCS and SCS. All patients with an excellent outcome at 1 month after the surgery continued to exhibit these effects. In contrast, patients with the good outcome at 1 month exhibited a significant decrease in the effects at 6 months after surgery. The long-term effects of MCS and SCS were approximately 50% during the more than 8.5 and 3.5 years of follow-up, respectively. The VAS at 1 month after surgery may be a postoperative predictor of the long-term effects for both MCS and SCS.

Entities:  

Keywords:  long-term; motor cortex stimulation; neuromodulation; neuropathic pain; spinal cord stimulation

Mesh:

Year:  2018        PMID: 30158352      PMCID: PMC6186764          DOI: 10.2176/nmc.oa.2018-0106

Source DB:  PubMed          Journal:  Neurol Med Chir (Tokyo)        ISSN: 0470-8105            Impact factor:   1.742


Introduction

Neuropathic pain is caused by lesions in the somatosensory pathway in the peripheral or central nervous system. A change in the activation of the pain matrix is thought to be one of the mechanisms responsible for the pathogenesis of neuropathic pain.[1)] The pain matrix consists of a network of brain structures that include areas such as the thalamus, anterior cingulate cortex, and somatosensory cortices, among other regions. Since most neuropathic pain patients do not respond sufficiently to medical treatment, non-medical approaches such as neuromodulation therapies have been developed. The main neuromodulation therapies currently being used for chronic neuropathic pain include motor cortex stimulation (MCS) and spinal cord stimulation (SCS). MCS was first proposed for the treatment of central poststroke pain (CPSP).[2,3)] Subsequently, several case series have reported on the efficacy of MCS for multiple types of pain including trigeminal neuropathic pain, phantom limb pain, and spinal cord injury (SCI) pain.[4–11)] Four randomized controlled trials with a crossover design have been published.[12–15)] SCS has now become the most widely used neuromodulation therapy due to the less invasiveness, low complication rate, and effectiveness.[16,17)] Other reasons for the increased use of SCS instruments include improvements in the devices.[18,19)] The efficacy of SCS for particular types of peripheral neuropathic pain has been demonstrated by randomized controlled trials examining failed back surgery syndrome (FBSS),[20,21)] complex regional pain syndrome (CRPS) type I,[22)] painful diabetic neuropathy,[23,24)] and angina pectoris.[25)] Although neuromodulation therapies are performed throughout the world to treat various chronic neuropathic pains, predictive factors for the long-term effects have yet to be established. While it has been documented that patients do express dramatic pain relief after undergoing neuromodulation therapy, it remains unclear as to the mechanism responsible for bringing about the dramatic pain relief. The aim of this study was to evaluate the rates of the long-term effects and the predictive factors associated with the long-term effects in both MCS and SCS, and the differences between the dramatic and moderate pain relief in both MCS and SCS.

Methods

Patients and methods

This study was a retrospective review of 50 consecutive patients who underwent surgical implantation of MCS or SCS electrodes for the treatment of chronic neuropathic pain by the Functional Neurosurgery Team of Nagoya University. Procedures were performed at either the Nagoya University Hospital or Nagoya Central Hospital in Japan from 1999 to 2016. All patients exhibited a poor response to medications before surgery. MCS was performed from 1999 to 2009. Since 2010, the eight-contact electrodes and an implantable pulse generator stimulating 16 contacts became available for clinical use in Japan. Then, we select SCS for patients who presented with lumbar, upper, or lower extremity pain. Only when the patient presented with facial pain, we select MCS. Patients found to have severe depression, psychiatric disorders, drug abuse, or who did not have a sufficient ability to communicate due to severe neurological deficits were excluded from the analysis. The study protocol was approved by the local ethics committees of the Nagoya University Hospital and Nagoya Central Hospital. All patients were informed about the procedure and provided written informed consent prior to the start of the study.

Patients who underwent MCS/SCS electrode implantation

Fifteen patients underwent implantation of MCS electrodes. The mean age ± standard deviation was 56.1 ± 13.6 years. The preoperative mean duration of pain was 3.5 ± 2.3 years. Patients were classified according to the anatomical location of lesion as follows: central pain of brain (n = 9), central pain of spinal cord (n = 2), and peripheral neuropathic pain (n = 3). Causes of pain included CPSP (n = 9), SCI (n = 2), peripheral neuropathy (n = 3), and other causes (n = 1). Sites of pain were upper extremity (n = 3), lower extremity (n = 1), upper and lower extremities (n = 8), and face (n = 3). Table 1 summarizes the clinical features and outcomes of the patients who underwent MCS.
Table 1

Demographics and outcomes of patients undergoing motor cortex stimulation

NoAgeSexPainSensory disturbanceMotor weaknessTrial successLong-term effectFollow-up (m)VAS



LesionDiagnosisDuration (years)LatSiteHypoAlloPreop1 m6 m12 mLast
131MSpineSCI1RtUE++YesYes135102777
246MPeripheralBrachial plexus avulsion2RtUE+msNoNA10
359MBrainCPSP (hemo)2RtUE, LE+miYesNo1210577
470MBrainCPSP (hemo)5RtUE, LE+miYesNo14107778
561FBrainCPSP (hemo)3RtLE+miYesNo6878
652MBrainCPSP (inf)6RtUE, LE++miYesYes15072222
757FBrainCPSP (hemo)4LtUE, LE++miYesYes129103333
858MBrainCPSP (inf)2LtUE, LE++msNoNA9
956FBrainCPSP (inf)10LtUE, LE+YesYes126102233
1045FSpineSCI5BilUE+msYesYes12594466
1155MBrainCPSP (hemo)1RtUE, LE++miNoNA6
1233MBrainMultiple sclerosis3Ltface+YesYes72104444
1369MBrainCPSP (hemo)3RtUE, LE+miNoNA9
1482FPeripheralDamage of trigeminal nerve2RtFace++YesYes26103355
1567FPeripheralDamage of trigeminal nerve4Rtface++YesYes8084544

Allo: allodynia, Bil: bilateral, CPSP: central poststroke pain, F: female, hemo: hemorrhage, Hypo: hypoesthesia, inf: infarction, Last: last follow up, Lat: laterality, LE: lower extremity, Lt: left, m: month, M: male, mi: minimal, ms: moderate/severe, NA: not applicable, Preop: preoperative, Rt: right, SCI: spinal cord injury, UE: upper extremity, VAS: visual analog scale.

Thirty-five patients underwent implantation of SCS electrodes. The mean age of the patients was 63.4 ± 12.2 years. The preoperative mean duration of pain was 4.4 ± 3.7 years. Patients were classified according to the anatomical location of lesion as follows: central pain of brain (n = 18), central pain of spinal cord (n = 4), and peripheral neuropathic pain (n = 13). Causes of pain were CPSP (n = 17), FBSS (n = 7), SCI (n = 4), peripheral neuropathy (n = 3), CRPS type I (n = 1), and other causes (n = 3). Sites of pain were upper extremity (n = 5), lower extremity (n = 9), upper and lower extremities (n = 13), lumbar (n = 3), lumbar and lower extremity (n = 4), and other (n = 1). Table 2 summarizes the clinical features and outcomes of the patients who underwent SCS.
Table 2

Demographics and outcomes of patients undergoing spinal cord stimulation

NoAgeSexPainSensory disturbanceMotor weaknessSCS locationSCS leadTrial successLong-term effectFollow-up (m)VAS



LesionDiagnosisDuration (years)LatSiteHypoAlloPreop1 m6 m12 mLast
182FPeripheralother1BilLE+L4c × 2YesYes27107555
265FPeripheralFBSS4LtLE, L+msTh4c × 2YesYes18103667
375FBrainCPSP (hemo)6RtUE, LE+msTh4c × 1YesNo2106
478MPeripheralFBSS9BilLTh4c × 2YesYes48106552
567MBrainCPSP (hemo)14RtUE, LE++msC8c × 2NoNA8
638MBrainContusion5LtUE, LE+C, Th4c × 4YesYes85101122
769MBrainCPSP (hemo)9RtUE, LE++Th8c × 2YesNo6858
850MBrainCPSP (hemo)5LtLE++miL8c × 2YesYes8181111
964MBrainCPSP (hemo)1BilLE+miTh8c × 2YesNo575
1063FBrainCPSP (inf)7LtLE, L++msTh8c × 2YesYes8361222
1159FBrainCPSP (hemo)1LtUE, LEmiTh8c × 2YesYes8071111
1270FBrainCPSP (hemo)5LtUE, LETh8c × 2YesYes8191266
1368MBrainCPSP (hemo)6LtUE, LE++miTh8c × 1NoNA7
1469FSpineSCI18BilLE+msTh8c × 1YesYes6583333
1575FSrainCPSP (hemo)1RtLE+miTh8c × 1NoNA8
1651MPeripheralFBSS2RtUE++C8c × 2YesNo1210588
1777FPeripheralCRPS type16RtUE+C8c × 2YesYes63101111
1866MPeripheralFBSS4BilL+msTh8c × 2YesNo363
1975MBrainCPSP (hemo)3LtUE, LE++miTh8c × 2NoNA6
2056MBrainCPSP (hemo)2RtUE, LE++C, Th4c × 4YesYes3661111
2164MSpineSCI4BilUE+C8c × 2YesYes4382334
2241MSpineSCI3BilL+Th8c × 1YesYes3952222
2377MPeripheralFBSS1LtLE+msTh8c × 2YesYes30107777
2472MSpineSCI1BilUE+C8c × 2YesNo4877
2540MPeripheralPNP2BilUE+C8c × 2YesYes3071111
2676FPeripheralFBSS2BilLE, L+Th8c × 2YesYes2361111
2747FBrainCPSP (inf)2LtLE++Th8c × 2YesYes1884555
2862MBrainCPSP (inf)1LtUE, LE+msTh8c × 2YesYes21104777
2960FPeripheralPNP6BilLETh8c × 2NoNA10
3046FPeripheralPNP1RtLE, LTh8c × 2NoNA10
3144FPeripheralFBSS3LtLE+Th8c × 2YesYes1296666
3257MBrainCPSP (hemo)2LtUE, LE++C, Th8c × 2NoNA10
3376FBrainCPSP (hemo)4LtUE, LE++C, Th8c × 2NoNA9
3467FPeripheralOther6BilOther+Th8c × 2YesYes1283111
3573FBrainCPSP (hemo)6LtUE, LE++msTh8c × 2YesNo198

Allo: allodynia, Bil: bilateral, C: cervical, CPSP: central poststroke pain, CRPS: complex regional pain syndrome, F: female, FBSS: failed back surgery syndrome, hemo: hemorrhage, Hypo: hypoesthesia, inf: infarction, L: lumbar, Last: last follow up, Lat: laterality, LE: lower extremity, Lt: left, m: month, M: male, mi: minimal, ms: moderate/severe, NA: not applicable, PNP: peripheral neuropathy, Preop: reoperative, Rt: right, SCI: spinal cord injury, Th: thoracic, UE: upper extremity, VAS: visual analog scale, 4c: four-contact electrode, 8c: eight-contact electrode.

MCS electrode implantation procedures

A preoperative magnetic resonance image was taken after placement of fiducial markers. After using a preliminary target to calibrate the image-guided navigation system, a skin incision and one burr hole around the central sulcus were made under local anesthesia. A six-plate electrode array was inserted from the edge of the burr hole into the epidural space, with the locations of the precentral and postcentral gyri confirmed by the phase reversal of the N20 wave of the somatosensory evoked potential recorded by median nerve stimulation. A four-plate electrode array (3587A Resume II; Medtronic Inc., Minneapolis, MN, USA) was inserted into the pain site target on the precentral gyrus, with muscle contraction of the pain area through bipolar stimulation via the electrodes used to confirm the location.

SCS electrode implantation procedures

After each patient was placed in the prone position, the 18-gauge Tuohy needle was inserted into the midline epidural space under local anesthesia. Four-contact electrodes (Pisces Quad, Model 3487A; Medtronic Inc.) were inserted in the initial four subjects. Once the eight-contact electrodes and an implantable pulse generator became available for clinical use, we began inserting the eight-contact electrode (Octad Lead Standard, Model 3777, Vectris SureScan MRI Compact, Model 977A2; Medtronic Inc.). For dual-lead SCS, two electrodes were placed in parallel. In two subjects, we employed 4 four-contact electrodes. When insertion of two electrodes was technically difficult, only one electrode was inserted. The electrodes were manipulated using radiographic guidance, with the stimulation-induced paresthesia covering the entire region affected by the pain.

Test stimulation and implantation of the implantable pulse generator

A test stimulation (= trial) was performed approximately 7 days after the insertion of the MCS or SCS electrodes in order to assess the efficacy and adverse effects. When a reduction of > 50% was achieved in the VAS, this was defined as a “trial success”. If deemed successful, the electrode was then connected to an implantable pulse generator (IPG) under general anesthesia. The MCS electrode was connected to an IPG (Itrel III; Medtronic Inc.). The SCS electrode was connected to an IPG (Synergy, PrimeAdvanced, PrimeAdvanced SureScan MRI or RestoreSensor SureScanMRI; Medtronic Inc.). If the trial was not successful, the electrode and percutaneous extension were removed from the patient.

Assessment

The degree of pain was assessed using the Visual Analog Scale (VAS). Assessments of pain were performed at the time when it’s most painful during 1 day, because the pain fluctuated during 1 day. The preoperative VAS score was used as the baseline. Postoperative outcomes were assessed at 1, 6, and 12 months after the surgery, and at the time of the last follow-up. Percentages of pain relief (PPR) from the preoperative VAS were calculated at 1, 6, and 12 months after the surgery, and at the time of the last follow-up [PPR (%) = (preoperative VAS − postoperative VAS)/preoperative VAS × 100]. MCS and SCS outcomes were classified into two sub-categories according to the PPR, with ≥ 70% indicating an excellent outcome and 30–69% indicating a good outcome. We defined a successful “long-term effect” as a patient who achieved a PPR ≥ 30% and who had continuous pain relief over 12 months. Failure was defined as a PPR < 30% as compared to the baseline. Patients were additionally separated into three groups according to their trial and long-term outcomes as follows: (1) trial success with implantation of the IPG and an observed long-term effect (long-term effect group), (2) trial success with implantation of the IPG, but without any long-term effect (no long-term effect group), and (3) the trial was not a success and the IPG was not implanted (no trial success group).

Statistics

The three trial groups were analyzed by an ANOVA using age, duration of pain, and preoperative VAS scores to compare the preoperative patient conditions for the MCS and SCS. The factors used for the Fisher’s exact test included sex, location of lesion, sensory disturbance, motor weakness, site of pain, and laterality of pain. The Fisher’s exact test was also used to determine the relationship between the long-term effect of MCS/SCS and the location of lesion. Wilcoxon rank sum test using the postoperative VAS scores at 1, 6, and 12 months after the surgery, and at the time of the last follow-up was performed in order to compare the difference between the long-term effect and the no long-term effect groups of MCS and SCS. The Wilcoxon rank sum test was also performed to compare the difference between the excellent and good groups of MCS and SCS using age, duration of pain, and the preoperative and postoperative VAS scores at 1, 6, and 12 months after the surgery, and at the time of the last follow-up. Fisher’s exact test was also used to examine the differences in the sex, location of lesion, sensory disturbance, motor weakness, site of pain, and laterality of pain. Probability values of less than 0.05 were considered statistically significant. To investigate the long-term effect group of SCS, we used the PPR score at 1 month after the surgery. The point with the best sum of sensitivity and specificity for the Youden Index in the receiver operating characteristic (ROC) curve was defined as the cut-off value. We used the “exactRankTests” and “pROC” packages for the Wilcoxon rank sum test analysis and ROC analysis, respectively, which is included in the statistical software R version 3.1.3.

Results

Outcomes of MCS/SCS

Table 3 shows the outcomes of the trial and the long-term effects of MCS and SCS. In the 15 patients implanted with MCS electrodes, 11 (73.3%) had a trial success. Eight of the 11 patients who were implanted with the MCS and IPG system achieved successful long-term effects. During the mean follow-up period of 105.4 ± 41.9 months, eight out of 15 (53.3%) patients achieved successful long-term effects overall. All eight patients achieving long-term effects continued the effect for more than 2 years. In the 35 patients implanted with the SCS electrodes, 27 (77.1%) had a trial success. Twenty of the 27 patients who were implanted with the SCS and IPG system achieved successful long-term effects. During the mean follow-up period of 44.8 ± 26.3 months, 20 out of 35 (57.1%) patients achieved successful long-term effects overall. Fourteen out of 20 patients achieving long-term effects continued the effect for more than 2 years. There were no MCS or SCS patients who required removal of the system due to infection.
Table 3

Motor cortex and spinal cord stimulation outcomes and details

MCS (n = 15)SCS (n = 35)
Location of lesion
  Total trial success (rate)11/15 (73.3%)27/35 (77.1%)
    Brain7/9 (77.8%)12/18 (66.7%)
    Spine2/2 (100%)4/4 (100%)
    Peripheral2/3 (66.7%)11/13 (84.6%)
  Total long-term effect (rate)8/15 (53.3%)20/35 (57.1%)
    Brain4/9 (44.4%)8/18 (44.4%)
    Spine2/2 (100%)3/4 (75%)
    Peripheral2/3 (66.7%)9/13 (69.2%)
Causes of pain
  Trial success (rate)
    CPSP6/9 (66.7%)11/17 (64.7%)
    SCI pain2/2 (100%)4/4 (100%)
    FBSS7/7 (100%)
    CRPS type I1/1 (100%)
  Long-term effect (rate)
    CPSP3/9 (33.3%)7/17 (41.2%)
    SCI pain2/2 (100%)3/4 (75%)
    FBSS5/7 (71.4%)
    CRPS type I1/1 (100%)

CPSP: central poststroke pain, CRPS: complex regional pain syndrome, FBSS: failed back surgery syndrome, MCS: motor cortex stimulation, SCI: spinal cord injury, SCS: spinal cord stimulation.

Relationship between the location of lesion and long-term effect of MCS/SCS

The respective long-term effect rates for the MCS and SCS in accordance with the location of lesion were 44.4% (4/9) and 44.4% (8/18) for the brain, 100% (2/2) and 75% (3/4) for the spine, and 66.7% (2/3) and 69.2% (9/13) for the peripheral nerves (Table 3). There was no statistical relationship observed between the long-term effect of MCS/SCS and the location of lesion. The respective long-term effect rates for the MCS and SCS in accordance with the cause of pain were 33.3% (3/9) and 41.2% (7/17) for CPSP, 100% (2/2) and 75% (3/4) for SCI, 71.4% (5/7) for FBSS in SCS, and 100% (1/1) for CRPS type I in SCS (Table 3).

Predictive factors of the long-term effect of MCS/SCS

Tables 4 and 5 show the comparisons of the characteristics for MCS and SCS among the long-term effect, no long-term effect, and no trial success groups, respectively. No statistical differences were observed for the age, sex, duration of pain, location of lesion, sensory disturbance, motor weakness, site of pain, laterality of pain, and preoperative VAS scores among the three groups for both MCS and SCS. Interestingly, there were statistical differences in the VAS scores at 1 and 6 months after the surgery between the long-term effect group and the no long-term effect group for both MCS and SCS (P < 0.05). Figure 1 shows the scatter graph for the PPR at 1 month after SCS implantation versus the length of the continuing SCS effect. The cut-off value of the PPR at 1 month after SCS implantation versus the length of the continuing SCS effect was 50%, with a sensitivity of 100% and specificity of 75%.
Table 4

Comparison of characteristics among the groups for the long-term effect, no long-term effect, and no trial success for motor cortex stimulation

Long-term effectNo long-term effectNo trial successP-value
Number834
Age52.9 ± 16.963.3 ± 5.957.0 ± 9.50.5535
Sex (M/F)3/52/14/00.1133
Duration of pain (years)4.4 ± 2.83.3 ± 1.52.0 ± 0.80.261
Location of lesion (Brain/spine/peripheral)4/2/23/0/03/0/10.6643
Sensory disturbance
  Hypoesthesia8341
  Allodynia5020.3082
Motor weakness (Minimal/moderate + severe)2/13/02/20.06636
Site of pain0.4409
  UE201
  LE010
  UE + LE323
  Face300
Laterality of pain
  Bilateral/left/right1/3/40/0/30/1/30.8657
VAS
  Preop.9.3 ± 1.29.3 ± 1.28.5 ± 1.70.6182
  1 m3.0 ± 0.96.3 ± 1.20.01212a
  6 m3.9 ± 1.87.3 ± 0.60.0303a
  12 m4.3 ± 1.7
  Last4.3 ± 1.7
PPR (%)
  1 m67.1 ± 11.030.8 ± 18.8
  6 m57.7 ± 20.120.0 ± 17.3
  12 m54.3 ± 16.4
  Last54.3 ± 16.4

F: female, Last: last follow-up, LE: lower extremity, m: month, M: male, PPR: percentage of pain relief, Preop.: preoperative, UE: upper extremity, VAS: visual analog scale,

Statistically significant.

Table 5

Comparison of characteristics among the groups for the long-term effect, no long-term effect, and no trial success for spinal cord stimulation

Long-term effectNo long-term effectNo trial successP-value
Number2078
Age61.3 ± 13.967.1 ± 8.165.5 ± 10.60.4835
Sex (M/F)9/115/24/40.5846
Duration of pain (yrs)4.4 ± 3.94.1 ± 3.04.6 ± 4.30.9705
Location of lesion (Brain/spine/peripheral)8/3/94/1/26/0/20.5604
Sensory disturbance
  Hypoesthesia10650.2618
  Allodynia11460.6468
Motor weakness (Minimal/moderate + severe)3/52/23/10.6993
Site of pain0.7235
  UE320
  LE612
  UE + LE535
  Lumbar210
  Lumbar + LE301
  Other100
Laterality of pain
  Bilateral/left/right8/10/23/1/31/3/40.09163
VAS
  Preop.8.3 ± 1.78.3 ± 1.58.5 ± 0.50.9309
  1 m2.8 ± 2.25.6 ± 1.60.00637a
  6 m3.1 ± 2.37.6 ± 0.60.001694a
  12 m3.5 ± 2.68
  Last3.3 ± 2.4
PPR (%)
  1 m67.6 ± 21.232.8 ± 16.2
  6 m64.7 ± 22.110.8 ± 10.1
  12 m60.4 ± 25.420
  Last62.3 ± 23.4

F: female, Last: last follow-up, LE: lower extremity, m: month, M: male, PPR: percentage of pain relief, Preop.: preoperative, UE: upper extremity, VAS: visual analog scale,

Statistically significant.

Fig. 1

Cut-off value of the percentage of pain relief at 1 month after SCS. Scatter graph shows the relationship of the percentage of pain relief (PPR) at 1 month after SCS surgery versus the length of the SCS effect. The black diamonds and gray squares indicate patients with a continuing SCS effect over 12 months (long-term effect) and patients with a SCS effect less than 12 months (no long-term effect), respectively. The dotted line indicates the cut-off value line for the PPR at 1 month after surgery. This line divides the long-term effect from the no long-term effect. The cut-off value is 50%, with a sensitivity of 100% and a specificity of 75%.

Comparison between excellent and good groups of MCS/SCS

The rates of excellent outcome at the time of the last follow-up were 37.5% (3/8) in MCS and 45.0% (9/20) in SCS patients. There were no statistical differences for the preoperative characteristics between the excellent and good groups in both the MCS and SCS patients. Figure 2 shows the changes in the VAS scores of the excellent and good groups at 1 month after the surgery in MCS and SCS patients (a: MCS, b: SCS). There were several common findings between the MCS and SCS groups. The VAS scores of the excellent groups at 1 month after the surgery remained low from 1 month after the surgery until the time of the last follow-up. And, no patients with excellent groups at 1 month after surgery in both MCS and SCS, were removed the implantation system during follow up periods. In contrast, the VAS scores of the good groups at 1 month after the surgery exhibited a significant increase at 6 months after surgery compared to that seen at 1 month. In patients with good groups at 1 month after surgery, the implantation systems were removed in the 50.0% (3/6) in MCS and 58.3% (7/12) in SCS patients.
Fig. 2

Comparison between excellent and good groups of MCS/SCS. Line graphs show the changes of the average VAS scores and the standard deviation of the excellent and good groups for MCS (a) and SCS (b). The black and gray lines indicate the excellent and good groups, respectively. There were no statistically significant differences between the VAS scores at baseline for both the MCS and SCS. After 6 months, however, the VAS scores of the good groups significantly increased as compared to the excellent groups (*P < 0.05, **P < 0.001).

Discussion

A previous review of the efficacy of MCS has reported that 57.6% of the examined patients overall had more than 40–50% pain relief.[5)] There have been several reports of the long-term effects of MCS with more than 3.5 years of follow-up.[14,26–28)] Im et al. examined 21 patients with neuropathic pain who underwent MCS, and reported that the trial success rate was 76.2%, with long-term effects achieved in 52.4% during 53 ± 39 months of follow-up.[26)] These results are compatible with our current findings. Predictive factors associated with long-term effects of MCS are still unclear. Several previous studies have reported that preoperative characteristics of patients such as the age, sex, and duration of pain, among others, were not related to the long-term outcomes.[14,26–28)] However, the level of pain relief at 1 month after MCS system implantation was reported to be a strong predictor of long-term relief.[27)] This result indicates that in the no long-term effect group, the initial pain relief might reflect the placebo effects. Thus, in order to achieve a long-term effect, this suggests that it is necessary to separate out these types of patients during the trial period. Rasche et al. investigated the use of MCS in 17 patients with chronic neuropathic pain.[14)] Note is the fact that there were no patients who exhibited vanishing effects during the follow-up. The test stimulation in this series was double-blind. In other words, real or placebo stimulations were performed after blinding of the patients and physicians, with all of the stimulation parameters controlled and programmed by an independent physician. Double-blinded stimulations are considered to be able to discriminate patients who may have placebo effects. FBSS and CRPS type I have been suggested to be pain types that can be treated by SCS.[29,30)] Percentages found for long-term effects in patients who have been subjected to more than 12 months of FBSS and CRPS type I were reported to be 60–70% and 63–72%, respectively.[17,31,32)] In our current series, the total rate for the long-term effect of SCS was 57.1%, with this rate affected by the proportion of the number of FBSS and CRPS type I in the patient groups. In our study, 23% of the total patients were FBSS and CRPS type I, while 63% had central neuropathic pain. Although the percentage for the long-term effects of SCS for peripheral origin pain was 69.2%, which was higher than for the brain origin pain (44.4%), there was no statistical difference between the two locations. The reason for this result is likely that SCS for CPSP had a comparatively high rate of long-term effects in our series. Although SCS has not been recommended for the treatment of central neuropathic pain,[29,30)] it has been recently reported that some CPSP patients have been successfully treated by SCS.[33,34)] Relationships of site of pain and efficacy of MCS were reported that upper extremity or face pain were easy to treat because of more easily localizing the epidural electrode array on the representation of the pain sites in the motor cortex.[14)] SCS was more efficacy for lower extremity or lumbar pain.[17,31)] In our study, rates of long-term effects were 100% (3/3) of facial pain and 66.7% (2/3) of upper extremity pain in MCS, and 66.7% (6/9) of lower extremity pain and 75% (3/4) of both lower extremity and lumbar pain in SCS. However, there were no statistical difference between site of pain and efficacy of MCS/SCS. The reasons for this result were small number of MCS for lower extremity pain (1) and SCS for upper extremity (5), and SCS was not indicated facial pain. Although several predictive factors associated with long-term effects of SCS have been reported, this remains controversial.[17,35–39)] Psychological factors are commonly known to influence the effect of SCS.[40)] Systemic reviews have suggested that psychological factors such as somatization, depression, and anxiety are predictive factors of the poor performance of SCS.[36,37)] Although we did not perform meticulous preoperative evaluations of the psychological conditions or double-blinded test stimulations in our series, we did find that values of the PPR at 1 month after the surgery might be a useful postoperative predictor of the long-term effect. The cut-off value for achieving the long-term effect of SCS was shown to be 50% of the PPR at 1 month after the surgery. Moreover, a sensitivity of 100% indicates that all patients will achieve long-term effects when the PPR at 1 month after surgery is higher than 50%. A specificity of 75% indicates that 75% of patients will not achieve the long-term effects when the PPR at 1 month after surgery is less than 50%. There were similar finding for both the MCS and SCS, such as excellent groups at 1 month after the surgery remained the effect until the time of the last follow-up, and good groups at 1 month after the surgery exhibited a significant decrease in the effects at 6 months after surgery. We speculated that the similar features observed for MCS and SCS might imply a common underlying mechanism for pain relief. Neuroimaging studies have shown a significant correlation between the analgesic effect of MCS and the regional cerebral blood flow (rCBF) changes in various regions including the anterior cingulate gyrus, orbitofrontal cortex, thalamus, anterior insula, and brain stem.[41–45)] SCS also induces changes of activity in the anterior cingulate cortex and thalamus, which can be identified by increases and decreases in the rCBF.[46)] Previous neuroimaging studies have indicated that SCS induced modulations in the somatosensory and emotional areas of the brain.[47–50)] Therefore, the common modulations of the pain matrix induced by electrical stimulation may be one reason for the similar features observed for MCS and SCS.

Conclusion

For non-selected patients with chronic neuropathic pain who did not undergo the double-blind test stimulation method, rates of the long-term effect of MCS and SCS were approximately 50% during the more than 8.5 and 3.5 years of follow-up, respectively. Although it remains unclear as to the preoperative predictive factors for the long-term effects, the VAS at 1 month after surgery may be a postoperative predictor of the long-term effects for both MCS and SCS. The cut-off value for achieving the long-term effect of SCS was shown to be 50% of the PPR at 1 month after the surgery. In order to increase the rates of the long-term effect for both MCS and SCS, it is necessary to select appropriate patients prior to the surgery and exclude those patients who demonstrate placebo effects during the trial period. Similar features were detected, such as excellent groups at 1 month after the surgery remained the effect until the time of the last follow-up in both MCS and SCS. This may reflect a common mechanism for pain relief. The limitations of our studies were the retrospective design and the small sample size. Prospective controlled studies with large sample sizes will need to be undertaken in order to provide further evidence.
  50 in total

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Authors:  Marcos Velasco; Francisco Velasco; Francisco Brito; Ana Luisa Velasco; Jean Paul Nguyen; Irma Marquez; Bernardo Boleaga; Yves Keravel
Journal:  Stereotact Funct Neurosurg       Date:  2002       Impact factor: 1.875

2.  Spinal cord stimulation versus repeated lumbosacral spine surgery for chronic pain: a randomized, controlled trial.

Authors:  Richard B North; David H Kidd; Farrokh Farrokhi; Steven A Piantadosi
Journal:  Neurosurgery       Date:  2005       Impact factor: 4.654

3.  Motor cortex stimulation in patients with chronic central pain.

Authors:  Paweł Sokal; Marek Harat; Piotr Zieliński; Jacek Furtak; Darek Paczkowski; Marcin Rusinek
Journal:  Adv Clin Exp Med       Date:  2015 Mar-Apr       Impact factor: 1.727

4.  Spinal cord stimulation modulates cerebral function: an fMRI study.

Authors:  M Moens; S Sunaert; P Mariën; R Brouns; A De Smedt; S Droogmans; P Van Schuerbeek; R Peeters; J Poelaert; B Nuttin
Journal:  Neuroradiology       Date:  2012-09-02       Impact factor: 2.804

5.  Electrical stimulation of motor cortex for pain control: a combined PET-scan and electrophysiological study.

Authors:  L García-Larrea; R Peyron; P Mertens; M C Gregoire; F Lavenne; D Le Bars; P Convers; F Mauguière; M Sindou; B Laurent
Journal:  Pain       Date:  1999-11       Impact factor: 6.961

Review 6.  Interventional management of neuropathic pain: NeuPSIG recommendations.

Authors:  Robert H Dworkin; Alec B O'Connor; Joel Kent; Sean C Mackey; Srinivasa N Raja; Brett R Stacey; Robert M Levy; Miroslav Backonja; Ralf Baron; Henning Harke; John D Loeser; Rolf-Detlef Treede; Dennis C Turk; Christopher D Wells
Journal:  Pain       Date:  2013-06-06       Impact factor: 6.961

Review 7.  Mechanisms and models of spinal cord stimulation for the treatment of neuropathic pain.

Authors:  Tianhe C Zhang; John J Janik; Warren M Grill
Journal:  Brain Res       Date:  2014-05-04       Impact factor: 3.252

8.  The antalgic efficacy of chronic motor cortex stimulation is related to sensory changes in the painful zone.

Authors:  Xavier Drouot; Jean-Paul Nguyen; Marc Peschanski; Jean-Pascal Lefaucheur
Journal:  Brain       Date:  2002-07       Impact factor: 13.501

9.  Spinal cord stimulation in treatment of chronic benign pain: challenges in treatment planning and present status, a 22-year experience.

Authors:  Krishna Kumar; Gary Hunter; Denny Demeria
Journal:  Neurosurgery       Date:  2006-03       Impact factor: 4.654

10.  Motor cortex stimulation for the treatment of refractory peripheral neuropathic pain.

Authors:  Jean-Pascal Lefaucheur; Xavier Drouot; Patrick Cunin; Rémy Bruckert; Hélène Lepetit; Alain Créange; Pierre Wolkenstein; Patrick Maison; Yves Keravel; Jean-Paul Nguyen
Journal:  Brain       Date:  2009-03-31       Impact factor: 13.501

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