Literature DB >> 25646745

The rate of magnetic resonance imaging in patients with spinal cord stimulation.

Mehul J Desai1, Liesl M Hargens, Maria D Breitenfeldt, Alissa H Doth, Michael P Ryan, Candace Gunnarsson, Yair Safriel.   

Abstract

STUDY
DESIGN: Analysis of use of magnetic resonance imaging (MRI) in the chronic back and leg pain spinal cord stimulation (SCS)-implanted population was conducted using a propensity-matched cohort population.
OBJECTIVE: To project the percentage of patients with SCS expected to need at least 1 MRI within 5 years of implant. SUMMARY OF BACKGROUND DATA: Patients experiencing pain, including those who underwent implantation with SCS systems, are likely to have comorbidities and ongoing pain issues that may require diagnostic imaging. MRI is the most common diagnostic imaging modality for evaluating patients with new or worsening low back pain. However, patients with SCS are typically excluded from receiving MRI because of the safety risks related to the interactions of MRI fields and implantable devices.
METHODS: To provide an accurate estimate of the need for MRI in the SCS-implanted population, Truven Health MarketScan Commercial Claims and Medicare Supplemental databases were used to perform analysis of SCS-implanted patients propensity score matched to a nonimplanted population-based cohort. Four years of paid and adjudicated claims data were used to determine the magnetic resonance (MR) images received, which was exponentially projected to estimate MRI within 5 and 10 years of implant.
RESULTS: Approximately 82% to 84% of SCS-implanted patients are expected to need at least 1 MRI within 5 years of implant. Furthermore, 59% to 74% of patients will require nonspine MRI within 10 years.
CONCLUSION: There is a high need for MRI in this chronic back and leg pain SCS population, with a significant portion being completed on locations outside of the spine. This analysis highlights a need for MRI-conditional SCS devices that grant access of patients with SCS to this imaging modality. LEVEL OF EVIDENCE: 3.

Entities:  

Mesh:

Year:  2015        PMID: 25646745      PMCID: PMC4396735          DOI: 10.1097/BRS.0000000000000805

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


Over the past quarter century, the use of diagnostic imaging has substantially increased globally with the fastest growth being outside the United States and in emerging markets (Figure 1A, B).1 Sixty million computed tomographic (CT) and 20 million nuclear medicine examinations were completed in the United States in 2005, compared with 3 million CT and 7 million nuclear medicine examinations in 1980.2 Concerns regarding the risks of ionizing radiation have accompanied this rise. Protracted exposure to ionizing radiation, which world and United States agencies classify as a carcinogen, increases the risk for developing cancer.2–5 This issue may be mitigated by employing the imaging modality with the lowest radiation dose but optimal examination for the disease state.6,7
Figure 1.

A, Magnetic resonance imaging growth (2008–2011). B, Magnetic resonance imaging average annual growth rate (2008–2011). MR indicates magnetic resonance.

A, Magnetic resonance imaging growth (2008–2011). B, Magnetic resonance imaging average annual growth rate (2008–2011). MR indicates magnetic resonance. Magnetic resonance imaging (MRI) is now the preferred mode of diagnostic imaging for many disease states, both in terms of guidelines and clinical practice.7–9 Use of MRI in the diagnosis of acute stroke is expanding, partially replacing CT in the acute phase to stratify stroke patients.10–12 For breast cancer, there is no optimal alternative to MRI in some situations. As an example of evolving techniques, breast MRI utilization has increased between 300% and 1600% from 2000 to 2011 in the United States.13,14 For purposes of diagnostics and to gauge progression, imaging is often used in patients with chronic pain. Chronic pain impacts approximately 100 million Americans, greater than the number impacted by cancer, heart disease, and diabetes combined.15 Globally, chronic pain is a significant public health issue, with high prevalence in both developed and developing countries and increasing prevalence with age.16 The Institute of Medicine estimates that the annual global cost of chronic pain is $560 to $635 billion.15 Patients with chronic spinal pain have an amplified need for MRI as they often experience comorbid conditions. A recent study estimated that 87.1% of individuals with chronic spinal pain have at least 1 other comorbid condition.17 Disease states such as arthritis, migraine, stroke, epilepsy, cancer, and vision problems are all significantly associated with chronic spinal pain, and many of these conditions (migraine, stroke, epilepsy) are optimally evaluated with MRI.7,17 Consequently, access to magnetic resonance (MR) technology is particularly relevant for patients experiencing chronic pain for these reasons as well as the ongoing progression of their underlying chronic pain pathology. Chronic pain of various etiologies including post–spine surgery syndrome, complex regional pain syndrome (CRPS), and lumbar radiculopathy is often treated by spinal cord stimulation (SCS), a clinically and cost-effective treatment for chronic back and leg pain (CBLP).18 SCS is a therapy for chronic pain whereby electrical stimulation is typically delivered to the dorsal columns of the spinal cord via epidural placement of leads containing an array of percutaneous or paddle-type electrodes. Although the mechanisms of SCS are not completely elucidated, trunk and extremity pain is replaced with painless paresthesia. The efficacy of SCS has been demonstrated via randomized studies in disease states such as failed back surgery syndrome, chronic lumbar radiculopathy, and CRPS.19–21 Historically, neurostimulation systems were contraindicated for MRI. The next step in the evolution of these devices was conditionally safe labeling by the Food and Drug Administration under specific controlled situations for head imaging. These restrictions stem from concerns of potential adverse interactions between implanted devices and MRI, along with the increased likelihood that a patient will be recommended for MRI.22 Several risks exist for MRI of neurostimulator patients, including patients' injury or discomfort, technical complications, and device damage. MRI exposure can affect the operation of the neurostimulator, including changes to the parameter settings, telemetry failure, and power on resets.23–25 Furthermore, induced currents (from the magnetic field of the MRI) have the potential to cause tissue heating, tissue stimulation, or device malfunction/failure.24–28 Although head-only MR image labeling provides important options for device patients requiring MRI of the brain, only about a quarter of all MR images obtained in the United States are of the head and the neck.29 There are centers that perform MRI of carefully selected patients when the benefits outweigh the risks. However, these are typically performed with strict protocols, extensive precautions, and by those with significant expertise in MRI; few, if any, authors advocate routine standardized scanning of patients with active implantable medical devices.25,28,30–32 To provide an accurate estimate of MRI utilization in the SCS-implanted population, insurance claims databases were used to perform analysis of propensity-matched population cohort to the SCS-implanted patients. Using 4 years of paid and adjudicated claims, exponential projection estimates were used to approximate the number of patients with SCS who received at least 1 MRI within 5 and 10 years of implant.

MATERIALS AND METHODS

Data Source

Data from Truven Health MarketScan Research Databases, which contain individual-level, de-identified, health care claims information from employers, health plans, hospitals, Medicare Supplemental and Medicaid programs, were used.33 Often used for research, these databases are Health Insurance Portability and Accountability Act compliant. A protocol describing the study objectives, criteria for patient selection, data elements of interest, and statistical methods was submitted to the New England Institutional Review Board and deemed exempt from review (exemption #14-234).

Patient Selection and Identification

Patient-level data were extracted from the MarketScan Commercial and Medicare databases for the years 2008–2011 (Figure 2). Patients with a record of an International Classification of Diseases, Ninth Revision (ICD-9) diagnosis code for the following diseases were included: CBLP, including failed back surgery syndrome, radiculopathy, or CRPS (see Supplemental Digital Content Table A, available at http://links.lww.com/BRS/A968). Patients with claims for a cardiac implant that would be contraindicated for MRI were excluded from this analysis. Patients were then divided into 2 groups: those with and without SCS implant (see Supplemental Digital Content Table A, available at http://links.lww.com/BRS/A968). Continuous enrollment was required for 12 months before and after the date of the SCS implant. For the SCS-indicated cohort, additional inclusion criteria consisted of 4 years of continuous health plan coverage (2008–2011).
Figure 2.

Patient flow (inclusion/exclusion). CBLP indicates chronic back and leg pain; SCS, spinal cord stimulation.

Patient flow (inclusion/exclusion). CBLP indicates chronic back and leg pain; SCS, spinal cord stimulation.

Statistical Analysis

All data were imported and maintained in SAS data files. Tabulation of summary statistics, graphical presentations, and data analyses were performed using SAS Software, Version 9.2 (SAS Institute Inc., Cary, NC).

Propensity Matching

The SCS-indicated patients were matched 1:1 using a combination of direct (age and sex) and propensity score matching (comorbid conditions) to SCS-implanted patients. The goal of propensity matching is to remove biases in cohort estimates that would otherwise be present due to differences between the cohorts. Adjusting for a patient's propensity score, or conditional probability of assignment to a particular treatment given a set of observed characteristics, has been shown to remove bias because of these characteristics. In this study, all covariates were obtained from the MarketScan databases and were clinically relevant to the outcomes of interest. A SAS macro from the Mayo Clinic (gmatch) was used to generate the match. Gmatch employs a greedy algorithm to choose a fixed number of controls for each patient in a treatment cohort (e.g., 1:1 or 2:1), whereby each patient is matched to his or her nearest neighbor with respect to all factors simultaneously, using various distance measures and calipers.34 Propensity scores were calculated from a logistic regression model as the probability that a patient had an SCS implant given the patient's characteristics. These characteristics were the covariates in the logistic regression model and included age (within 3 yr), sex (direct match), and probability score on the basis of comorbidities. Assessment of bias reduction was conducted by evaluating the differences in the distributions of patient characteristics among the cohorts before versus after matching.

Predicting MRI Utilization

After matching, the survival probability to first MR image was estimated in the SCS-indicated cohort during a 4-year period (2008–2011). Using these data, a linear best-fit model was used to project the data out to 5 years. Then, the data were fitted with exponential functions to project a range of best-fit scenarios, as measured by the coefficient of determination, out to 10 years.

RESULTS

There were 5,751,174 patients with a diagnosis code from an inpatient or outpatient claim in 2008–2011 designating CBLP, including failed back surgery syndrome, radiculopathy, or CRPS. Of those patients, 117,366 were excluded because they had a claim for a cardiac implant and, therefore, were contraindicated (Figure 2). There were 13,995 patients with an inpatient or outpatient claim with a procedure code for SCS (SCS-implanted), and there were 5,619,813 patients who did not (SCS-indicated). Significant differences between the 2 cohorts were resolved upon matching. After matching, there were a total of 3325 SCS-indicated patients tracked for more than 4 years: 60% of patients were female, the majority were 50 years of age or older, and 71% had commercial insurance (Table 1). Frequently occurring comorbid conditions included lumbar disc disease (66%), osteoarthritis (62%), hypertension (52%), depressive disorders (39%), hyperlipidemia (38%), and diabetes (20%) (see Supplemental Digital Content Table B, available at http://links.lww.com/BRS/A969).
TABLE 1.

Patient Demographics

CategoryTotalSCS-ImplimentedSCS-Indicated
NPercentNPercentNPercent
Total patients665010033251003325100
Age group, yr
 < 181608080
 18–291062532532
 30–39578929092889
 40–491355206772067820
 50–591905299522995329
 60–691335206692066620
 70–79959144781448114
 80 +396619861986
Sex
 Female399460199760199760
 Male265640132840132840
Insurance coverage
 Commercial472471235071237471
 Medicare1926299752995129
Insurance product type
 Preferred Provider Organization365755183255182555
 Comprehensive1112175741753816
 Health Maintenance Organization952144281352416
 Point of Service559825683039
 Missing1693933762
 Consumer-Driven Health Plans1212812401
 Exclusive Provider Organization40134160
 Point of Service with Capitation1507080
 High Deductible Health Plan25020150
Region
 South299745168351131440
 North Central1818278752694328
 West1060165201654016
 Northeast73411238749615
 Unknown41190321
SCS indicates spinal cord stimulation.
For the SCS-indicated cohort, the rate of patients receiving MRI was identified after 1 year (52%), 2 years (64%), 3 years (72%), and 4 years (78%). Using a linear projection, the estimated need for MRI within 5 years is 89%. Using a more robust exponential projection, MRI within 5 years is 82% to 84%. Approximately 89% to 98% of SCS-implanted patients are expected to need at least 1 MRI within 10 years of implant (Figure 3). When limited to nonspine MR images, approximately 59% to 74% of SCS-implanted patients are expected to need at least 1 nonspine MRI within 10 years of implant (Figure 4).
Figure 3.

Proportion of patients having any magnetic resonance imaging over 5- and 10-year time horizon.

Figure 4.

Proportion of patients having nonspine magnetic resonance imaging over 5- and 10-year time horizon.

Proportion of patients having any magnetic resonance imaging over 5- and 10-year time horizon. Proportion of patients having nonspine magnetic resonance imaging over 5- and 10-year time horizon. For SCS-implanted patients, a total of 2021 (61%) patients receiving an MRI within 12 months prior to implant were identified (Table 2). These 2021 patients obtained a total of 3719 MR images in the 12 months prior to implant with an average of 1.84 per patient, with 76% being MR images of the spine (Table 2).
TABLE 2.

Twelve Months Pre–Spinal Cord Stimulation Implant Frequency of Type of Magnetic Resonance Images

Count%
Total patients3325
Total patients with MR images202161
Total MR images3718
Spine281276
Nonspine90724
Average MR images for patients with MR images1.84
MR indicates magnetic resonance.

DISCUSSION

MRI is often the diagnostic imaging modality of choice in a myriad of medical conditions. This is particularly true for spine and pain-related pathologies, where utilization is high. It is quite clear that the need for MRI is high within the CBLP population, with 82% to 84% of patients projected to need MRI within 5 years of SCS implant. This underscores the persistence and evolution of this disease state. Pain physicians and spine surgeons may need to look beyond their focus on the spine and consider the impact of any clinical decision upon the patient's future access to medical treatments, often at the hands of other physician specialties. Increasingly, the use of MRI is not limited to disease of the spine. This study makes it clear that there is a need for nonspine MRI in this patient subset. Approximately 59% to 74% of patients with CBLP will need at least one nonspine MRI within 10 years of implant. If one was to assume that with the use of implantable therapies, CBLP was effectively treated, this would not eliminate the ongoing workup and treatment of other disease states. These data correspond with general imaging trends: an industry analysis of MR images obtained in the United States in 2013 showed that 76% of all MR procedures are outside of the lumbar and thoracic spine.29 MRI of the brain and extremities accounted for 20% and 22%, respectively, of all MRIs performed in the United States.29 Recent trends and the growing sophistication of this imaging modality underscore the broadening indication for MRI, with an increasing use in areas such as the breast and stroke.10–14 Also of note is the use of MRI immediately prior to SCS implant. Clinically, this might correspond to the workup of patients in preparation for SCS implant but is also often associated with a baseline acquisition of imaging data in preparation for patients' transition to a state where therapy will preclude access to MRI. Interestingly, this group averaged 1.84 in the year prior to implant, with the majority of images being those of the spine. Although MRI is not the appropriate diagnostic modality for all patients or disease states, it will continue to be integral and sometimes irreplaceable to patients' care. CT, CT enhanced with myelography, plain radiographs, and ultrasonography are available options and might be preferable in certain conditions. However, MRI is unquestionably the optimal option in a growing array of disease states, including spinal disorders, disease states of the large peripheral joints (shoulders, knees), stroke, multiple sclerosis, malignant breast cancer, and malignancy.7 One must consider the experience of a patient with an implantable device now facing new medical issues or an evolution of existing diagnoses. One option for these patients is to undergo explantation of their devices, thereby facing additional surgical risks and costs to the health care system. It has been suggested that explantation rates might more closely estimate the need for MRI, this tantamount to suggesting that cancer rates are better estimated by cancer surgery rates. Clinically speaking, when faced with the need for further diagnostic imaging for patients, each provider likely evaluates his or her patient to determine his or her pathway, reserving explantation as a last resort. Alternatively, and more likely, patients undergo suboptimal imaging modalities for their condition. CT is a useful tool in certain disease states, but it is not ideal in complicated low back and leg pain, where MRI is the preferred imaging modality.35 Thus, in some cases, not only is the alternative, such as CT, providing less diagnostic information, but it is also exposing patients to a large radiation dose. CT doses of radiation are much higher than conventional radiography, with the effective dose for CT 100 to 1000× higher than for a corresponding radiography.36 Additional examples include the reliance on arthroscopy to diagnose intra-articular joint pathology after trauma to the knee rather than on MRI. Finally, many patients are either not offered implantable therapies because of continued concerns regarding the ongoing need for diagnostic MRI or patients who underwent implantation are receiving MRIs contrary to labeling. When relating the importance of MRI to the comorbid conditions reported for the patients with SCS in this analysis, it is of note that for several of these key conditions such as lumbar disc disease, osteoarthritis, and a variety of neurological disorders, the American College of Radiology appropriateness criteria rate MRI as most appropriate.7 In some cases, there is no equivalent imaging test with a similar rating.7 Despite the potential for adverse outcomes and Food and Drug Administration warnings, a few centers have performed MRI of SCS-implanted patients to prospectively assess safety or retrospectively report on individual cases.23–25,27,28,37 Six reports in the peer-reviewed literature report on 54 patients who underwent implantation with SCS systems and received MRI, with 19 adverse events.23–25,27,28,37 There were 10 reports of device function compromise (18.5%), 3 of which required explant and/or replacement. There were 6 reports of device heating (11.1%) as assessed by patients' report or cutaneous temp measurement over implantable pulse generator pocket. Three patients reported painful dysesthesias during the scan (5.6%). Only 2 studies conducted follow-up assessment after the MRI, 1 with 3-month duration and the other with 12-month duration. These heating and/or pain events suggest the possibility of initial asymptomatic tissue damage that might make one more vulnerable to future injury. These off-label MR images of patients with SCS describe considerable safety risks, yet the potential for much more damaging thermal injury from MRI with an active implantable device is possible (J. Welter et al, unpublished data, 2014).38 Given the safety hazards of off-label MR images, the growing utilization of MRI, and the evolving pain and comorbidities in the chronic pain patient population, there is a clear need for MR-compatible devices to treat chronic pain conditions. This analysis shows that 82% to 84% of patients with SCS are expected to need an MRI within 5 years of implant. Important strengths of this analysis include specific utilization information that is both recent and based on a large group of patients from all regions of the United States. In addition, the analysis uses 4 years of paid and adjudicated claims data to determine actual MR images completed and has, therefore, met payer medical necessity criteria. Limitations of this research are that data were sourced from large claims databases designed for billing purposes and not research. For example, this SCS population is more concentrated in the south region, which may be a product of the MarketScan database being a convenience sample. In addition, claims are only reflective of what was coded, with the assumption that the coding is accurate and complete. Finally, these findings are generalizable only to other United States commercially insured and Medicare populations.

Key Points

Eighty-two percent to eighty-four percent of SCS-implanted patients will need at least 1 MRI within 5 years of implant. This is based on exponential projection estimate using SCS-implanted patients and a propensity-matched cohort. Fifty-nine percent to seventy-four percent of patients will need nonspine MRI within 10 years. This analysis highlights a need for MRI-conditional SCS devices that grant access of patients with SCS to this imaging modality.
  25 in total

1.  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

Review 2.  Magnetic resonance imaging conditionally safe neurostimulation leads: investigation of the maximum safe lead tip temperature.

Authors:  Robert J Coffey; Ron Kalin; James M Olsen
Journal:  Neurosurgery       Date:  2014-02       Impact factor: 4.654

3.  Magnetic resonance imaging with implanted neurostimulators: an in vitro and in vivo study.

Authors:  V M Tronnier; A Staubert; S Hähnel; A Sarem-Aslani
Journal:  Neurosurgery       Date:  1999-01       Impact factor: 4.654

4.  Chronic spinal pain and physical-mental comorbidity in the United States: results from the national comorbidity survey replication.

Authors:  Michael Von Korff; Paul Crane; Michael Lane; Diana L Miglioretti; Greg Simon; Kathleen Saunders; Paul Stang; Nancy Brandenburg; Ronald Kessler
Journal:  Pain       Date:  2005-02       Impact factor: 6.961

5.  Permanent neurological deficit related to magnetic resonance imaging in a patient with implanted deep brain stimulation electrodes for Parkinson's disease: case report.

Authors:  Jaimie M Henderson; Jean Tkach; Michael Phillips; Kenneth Baker; Frank G Shellock; Ali R Rezai
Journal:  Neurosurgery       Date:  2005-11       Impact factor: 4.654

Review 6.  Current clinical issues for MRI scanning of pacemaker and defibrillator patients.

Authors:  Ron Kalin; Marshall S Stanton
Journal:  Pacing Clin Electrophysiol       Date:  2005-04       Impact factor: 1.976

7.  Common chronic pain conditions in developed and developing countries: gender and age differences and comorbidity with depression-anxiety disorders.

Authors:  Adley Tsang; Michael Von Korff; Sing Lee; Jordi Alonso; Elie Karam; Matthias C Angermeyer; Guilherme Luiz Guimaraes Borges; Evelyn J Bromet; K Demytteneare; Giovanni de Girolamo; Ron de Graaf; Oye Gureje; Jean-Pierre Lepine; Josep Maria Haro; Daphna Levinson; Mark A Oakley Browne; Jose Posada-Villa; Soraya Seedat; Makoto Watanabe
Journal:  J Pain       Date:  2008-07-07       Impact factor: 5.820

8.  Magnetic resonance imaging in patients with spinal neurostimulation systems.

Authors:  Jose De Andres; Juan Carlos Valía; German Cerda-Olmedo; Carolina Quiroz; Vincente Villanueva; Vincente Martinez-Sanjuan; Oscar de Leon-Casasola
Journal:  Anesthesiology       Date:  2007-04       Impact factor: 7.892

9.  Patterns of breast magnetic resonance imaging use in community practice.

Authors:  Karen J Wernli; Wendy B DeMartini; Laura Ichikawa; Constance D Lehman; Tracy Onega; Karla Kerlikowske; Louise M Henderson; Berta M Geller; Mike Hofmann; Bonnie C Yankaskas
Journal:  JAMA Intern Med       Date:  2014-01       Impact factor: 21.873

10.  Spinal Cord Stimulation vs. Conventional Medical Management: A Prospective, Randomized, Controlled, Multicenter Study of Patients with Failed Back Surgery Syndrome (PROCESS Study).

Authors:  Krishna Kumar; Richard North; Rod Taylor; Mark Sculpher; Carine Van den Abeele; Marta Gehring; Line Jacques; Sam Eldabe; Mario Meglio; Joan Molet; Simon Thomson; Jim O'Callaghan; Elon Eisenberg; Germain Milbouw; Gianpaolo Fortini; Jonathan Richardson; Eric Buchser; Sherri Tracey; Pascale Reny; Morag Brookes; Salvatore Sabene; Paola Cano; Carol Banks; Louise Pengelly; Rivka Adler; Sophie Leruth; Claire Kelly; Myriam Jacobs
Journal:  Neuromodulation       Date:  2005-10
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  7 in total

1.  Magnetic Resonance Imaging in Patients With Implanted Spinal Cord Stimulation Systems.

Authors:  Marco Reining; Dirk Winkler; Joachim Böttcher; Jürgen Meixensberger; Michael Kretzschmar
Journal:  Dtsch Arztebl Int       Date:  2022-06-07       Impact factor: 8.251

2.  Patterns of seizure prophylaxis after oncologic neurosurgery.

Authors:  Brett E Youngerman; Evan F Joiner; Xianling Wang; Jingyan Yang; Mary R Welch; Guy M McKhann; Jason D Wright; Dawn L Hershman; Alfred I Neugut; Jeffrey N Bruce
Journal:  J Neurooncol       Date:  2019-12-13       Impact factor: 4.130

3.  Safety and Utility of Spinal Magnetic Resonance Imaging in Patients with High-Frequency Spinal Cord Stimulators: A Prospective Single-Centre Study.

Authors:  James Manfield; Richard Bartlett; Nicholas Park
Journal:  Stereotact Funct Neurosurg       Date:  2019-10-25       Impact factor: 1.875

Review 4.  The American Society of Pain and Neuroscience (ASPN) Best Practices and Guidelines for the Interventional Management of Cancer-Associated Pain.

Authors:  Mansoor M Aman; Ammar Mahmoud; Timothy Deer; Dawood Sayed; Jonathan M Hagedorn; Shane E Brogan; Vinita Singh; Amitabh Gulati; Natalie Strand; Jacqueline Weisbein; Johnathan H Goree; Fangfang Xing; Ali Valimahomed; Daniel J Pak; Antonios El Helou; Priyanka Ghosh; Krishna Shah; Vishal Patel; Alexander Escobar; Keith Schmidt; Jay Shah; Vishal Varshney; William Rosenberg; Sanjeet Narang
Journal:  J Pain Res       Date:  2021-07-16       Impact factor: 3.133

Review 5.  Patient Selection for Spinal Cord Stimulation in Treatment of Pain: Sequential Decision-Making Model - A Narrative Review.

Authors:  Lisa Goudman; Philippe Rigoard; Maxime Billot; Rui V Duarte; Sam Eldabe; Maarten Moens
Journal:  J Pain Res       Date:  2022-04-20       Impact factor: 2.832

6.  A Sub-millimeter, Inductively Powered Neural Stimulator.

Authors:  Daniel K Freeman; Jonathan M O'Brien; Parshant Kumar; Brian Daniels; Reed A Irion; Louis Shraytah; Brett K Ingersoll; Andrew P Magyar; Andrew Czarnecki; Jesse Wheeler; Jonathan R Coppeta; Michael P Abban; Ronald Gatzke; Shelley I Fried; Seung Woo Lee; Amy E Duwel; Jonathan J Bernstein; Alik S Widge; Ana Hernandez-Reynoso; Aswini Kanneganti; Mario I Romero-Ortega; Stuart F Cogan
Journal:  Front Neurosci       Date:  2017-11-27       Impact factor: 4.677

7.  [Need for and predictability of magnetic resonance imaging examinations in patients with implanted neurostimulators].

Authors:  Marco Reining; Dirk Winkler; Joachim Böttcher; Jürgen Meixensberger; Michael Kretzschmar
Journal:  Schmerz       Date:  2021-11-03       Impact factor: 1.629

  7 in total

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