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Smith AC, Ahmed RU, Weber KA, Negahdar M, Gibson D, Boakye M, Rejc E. Spinal cord lesion MRI and behavioral outcomes in a miniature pig model of spinal cord injury: exploring preclinical potential through an ad hoc comparison with human SCI. Spinal Cord Ser Cases 2024; 10:44. [PMID: 38977671 PMCID: PMC11231227 DOI: 10.1038/s41394-024-00658-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 06/24/2024] [Accepted: 07/02/2024] [Indexed: 07/10/2024] Open
Abstract
STUDY DESIGN prospective case series of Yucatan miniature pig spinal cord contusion injury model with comparison to human cases of spinal cord injury (SCI). OBJECTIVES to describe magnetic resonance imaging (MRI) measures of spinal cord lesion severity along with estimates of lateral corticospinal tracts spared neural tissue in both a less severe and more severe contusion SCI model, as well as to describe their corresponding behavioral outcome changes. SETTING University laboratory setting. METHODS Following a more severe and less severe SCI, each pig underwent spinal cord MRI to measure lesion characteristics, along with locomotor and urodynamics outcomes testing. RESULTS In the pig with more severe SCI, locomotor and urodynamic outcomes were poor, and both the spinal cord lesion volume and damage estimates to the lateral corticospinal tracts were large. Conversely, in the pig with less severe SCI, locomotor and urodynamic outcomes were favorable, with the spinal cord lesion volume and damage estimates to the lateral corticospinal tracts being less pronounced. For two human cases matched on estimates of damage to the lateral corticospinal tract regions, the clinical presentations were similar to the pig outcomes, with more limited mobility and more limited bladder functional independence in the more severe case. CONCLUSIONS Our initial findings contribute valuable insights to the emergent field of MRI-based evaluation of spinal cord lesions in pig models, offering a promising avenue for understanding and potentially improving outcomes in spinal cord injuries.
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Affiliation(s)
- Andrew C Smith
- University of Colorado School of Medicine, Department of Physical Medicine and Rehabilitation, Aurora, CO, USA.
| | - Rakib Uddin Ahmed
- University of Louisville School of Medicine, Department of Neurosurgery, Louisville, KY, USA
| | - Kenneth A Weber
- Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Palo Alto, CA, USA
| | - MohammadJavad Negahdar
- University of Louisville School of Medicine, Department of Radiology, Louisville, KY, USA
| | - Destiny Gibson
- University of Louisville School of Medicine, Department of Neurosurgery, Louisville, KY, USA
| | - Maxwell Boakye
- University of Louisville School of Medicine, Department of Neurosurgery, Louisville, KY, USA
| | - Enrico Rejc
- University of Udine, Department of Medicine, Udine, Italy
- Kessler Foundation, West Orange, NJ, USA
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Thornton WA, Smulligan K, Weber KA, Tefertiller C, Mañago M, Sevigny M, Wiley L, Stevens-Lapsley J, Smith AC. Lesion characteristics are associated with bowel, bladder, and overall independence following cervical spinal cord injury. J Spinal Cord Med 2024:1-9. [PMID: 38958637 DOI: 10.1080/10790268.2024.2363005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/04/2024] Open
Abstract
CONTEXT/OBJECTIVE There is a growing global interest in quantifying spinal cord lesions and spared neural tissue using magnetic resonance imaging (MRI) in individuals with spinal cord injury (SCI). The primary objective of this study was to assess the relationships between spinal cord lesion characteristics assessed on MRI and bowel, bladder, and overall independence following SCI. DESIGN Retrospective, exploratory study. PARTICIPANTS 93 individuals with cervical SCI who were enrolled in a local United States Model Systems SCI database from 2010 to 2017. METHODS Clinical and MRI data were obtained for potential participants, and MRIs of eligible participants were analyzed. Explanatory variables, captured on MRIs, included intramedullary lesion length (IMLL), midsagittal ventral tissue bridge width (VTBW), midsagittal dorsal tissue bridge width (DTBW), and axial damage ratio (ADR). OUTCOME MEASURES Bowel and bladder management scale of the Functional Independence Measure (FIM) and FIM total motor score. RESULTS When accounting for all four variables, only ADR was significantly associated with bowel independence (OR = 0.970, 95% CI: 0.942-0.997, P = 0.030), and both ADR and IMLL were strongly associated with bladder independence (OR = 0.967, 95% CI: 0.936-0.999, P = 0.046 and OR = 0.948, 95% CI: 0.919-0.978, P = 0.0007, respectively). 32% of the variation in overall independence scores were explained by all four predictive variables, but only ADR was significantly associated with overall independence after accounting for all other predictive variables (β = -0.469, 95% CI: -0.719, -0.218, P = 0.0004). CONCLUSIONS Our results suggest that the MRI-measured extent of spinal cord lesion may be predictive of bowel, bladder, and overall independence following cervical SCI.
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Affiliation(s)
- Wesley A Thornton
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, Colorado, USA
- Craig Hospital, Englewood, Colorado, USA
| | - Katherine Smulligan
- Department of Orthopedics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kenneth A Weber
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California, USA
| | | | - Mark Mañago
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, Colorado, USA
| | | | - Laura Wiley
- Department of Biostatistics & Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Jennifer Stevens-Lapsley
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Andrew C Smith
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, Colorado, USA
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Valošek J, Cohen-Adad J. Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox. Magn Reson Med Sci 2024; 23:307-315. [PMID: 38479843 PMCID: PMC11234946 DOI: 10.2463/mrms.rev.2023-0159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2024] Open
Abstract
The spinal cord plays a pivotal role in the central nervous system, providing communication between the brain and the body and containing critical motor and sensory networks. Recent advancements in spinal cord MRI data acquisition and image analysis have shown a potential to improve the diagnostics, prognosis, and management of a variety of pathological conditions. In this review, we first discuss the significance of standardized spinal cord MRI acquisition protocol in multi-center and multi-manufacturer studies. Then, we cover open-access spinal cord MRI datasets, which are important for reproducible science and validation of new methods. Finally, we elaborate on the recent advances in spinal cord MRI data analysis techniques implemented in the open-source software package Spinal Cord Toolbox (SCT).
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Affiliation(s)
- Jan Valošek
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Mila - Quebec AI Institute, Montreal, QC, Canada
- Department of Neurosurgery, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia
- Department of Neurology, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Mila - Quebec AI Institute, Montreal, QC, Canada
- Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
- Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada
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Karthik EN, Valosek J, Smith AC, Pfyffer D, Schading-Sassenhausen S, Farner L, Weber KA, Freund P, Cohen-Adad J. SCIseg: Automatic Segmentation of T2-weighted Intramedullary Lesions in Spinal Cord Injury. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.03.24300794. [PMID: 38699309 PMCID: PMC11065035 DOI: 10.1101/2024.01.03.24300794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Purpose To develop a deep learning tool for the automatic segmentation of T2-weighted intramedullary lesions in spinal cord injury (SCI). Material and Methods This retrospective study included a cohort of SCI patients from three sites enrolled between July 2002 and February 2023. A deep learning model, SCIseg, was trained in a three-phase process involving active learning for the automatic segmentation of intramedullary SCI lesions and the spinal cord. The data consisted of T2-weighted MRI acquired using different scanner manufacturers with heterogeneous image resolutions (isotropic/anisotropic), orientations (axial/sagittal), lesion etiologies (traumatic/ischemic/hemorrhagic) and lesions spread across the cervical, thoracic and lumbar spine. The segmentations from the proposed model were visually and quantitatively compared with other open-source baselines. Wilcoxon signed-rank test was used to compare quantitative MRI biomarkers (lesion volume, lesion length, and maximal axial damage ratio) computed from manual lesion masks and those obtained automatically with SCIseg predictions. Results MRI data from 191 SCI patients (mean age, 48.1 years ± 17.9 [SD]; 142 males) were used for model training and evaluation. SCIseg achieved the best segmentation performance for both the cord and lesions. There was no statistically significant difference between lesion length and maximal axial damage ratio computed from manually annotated lesions and those obtained using SCIseg. Conclusion Automatic segmentation of intramedullary lesions commonly seen in SCI replaces the tedious manual annotation process and enables the extraction of relevant lesion morphometrics in large cohorts. The proposed model segments lesions across different etiologies, scanner manufacturers, and heterogeneous image resolutions. SCIseg is open-source and accessible through the Spinal Cord Toolbox.
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Affiliation(s)
- Enamundram Naga Karthik
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Mila - Quebec AI Institute, Montreal, QC, Canada
| | - Jan Valosek
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Mila - Quebec AI Institute, Montreal, QC, Canada
- Department of Neurosurgery, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia
- Department of Neurology, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia
| | - Andrew C Smith
- Department of Physical Medicine and Rehabilitation Physical Therapy Program, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Dario Pfyffer
- Spinal Cord Injury Center, Balgrist University Hospital, University of Zürich, Zürich, Switzerland
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA
| | | | - Lynn Farner
- Spinal Cord Injury Center, Balgrist University Hospital, University of Zürich, Zürich, Switzerland
| | - Kenneth A Weber
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Patrick Freund
- Spinal Cord Injury Center, Balgrist University Hospital, University of Zürich, Zürich, Switzerland
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
- Mila - Quebec AI Institute, Montreal, QC, Canada
- Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
- Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada
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Alazzam AM, Ballance WB, Smith AC, Rejc E, Weber KA, Trainer R, Gorgey AS. Peak Slope Ratio of the Recruitment Curves Compared to Muscle Evoked Potentials to Optimize Standing Configurations with Percutaneous Epidural Stimulation after Spinal Cord Injury. J Clin Med 2024; 13:1344. [PMID: 38592158 PMCID: PMC10932170 DOI: 10.3390/jcm13051344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 04/10/2024] Open
Abstract
Background: Percutaneous spinal cord epidural stimulation (pSCES) has effectively restored varying levels of motor control in persons with motor complete spinal cord injury (SCI). Studying and standardizing the pSCES configurations may yield specific motor improvements. Previously, reliance on the amplitude of the SCES-evoked potentials (EPs) was used to determine the correct stimulation configurations. Methods: We, hereby, retrospectively examined the effects of wide and narrow-field configurations on establishing the motor recruitment curves of motor units of three different agonist-antagonist muscle groups. Magnetic resonance imaging was also used to individualize SCI participants (n = 4) according to their lesion characteristics. The slope of the recruitment curves using a six-degree polynomial function was calculated to derive the slope ratio for the agonist-antagonist muscle groups responsible for standing. Results: Axial damage ratios of the spinal cord ranged from 0.80 to 0.92, indicating at least some level of supraspinal connectivity for all participants. Despite the close range of these ratios, standing motor performance was enhanced using different stimulation configurations in the four persons with SCI. A slope ratio of ≥1 was considered for the recommended configurations necessary to achieve standing. The retrospectively identified configurations using the supine slope ratio of the recruitment curves of the motor units agreed with that visually inspected muscle EPs amplitude of the extensor relative to the flexor muscles in two of the four participants. Two participants managed to advance the selected configurations into independent standing performance after using tonic stimulation. The other two participants required different levels of assistance to attain standing performance. Conclusions: The findings suggest that the peak slope ratio of the muscle agonists-antagonists recruitment curves may potentially identify the pSCES configurations necessary to achieve standing in persons with SCI.
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Affiliation(s)
- Ahmad M. Alazzam
- Spinal Cord Injury and Disorders Center, Richmond VA Medical Center, Richmond, VA 23249, USA; (A.M.A.); (W.B.B.)
| | - William B. Ballance
- Spinal Cord Injury and Disorders Center, Richmond VA Medical Center, Richmond, VA 23249, USA; (A.M.A.); (W.B.B.)
| | - Andrew C. Smith
- Physical Therapy Program, Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, CO 80045, USA;
| | - Enrico Rejc
- Department of Medicine, University of Udine, 33100 Udine, Italy;
| | - Kenneth A. Weber
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94304, USA;
| | - Robert Trainer
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA 23284, USA;
- Physical Medicine and Rehabilitation, Richmond VA Medical Center, Richmond, VA 23249, USA
| | - Ashraf S. Gorgey
- Spinal Cord Injury and Disorders Center, Richmond VA Medical Center, Richmond, VA 23249, USA; (A.M.A.); (W.B.B.)
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA 23284, USA;
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Bourguignon L, Lukas LP, Guest JD, Geisler FH, Noonan V, Curt A, Brüningk SC, Jutzeler CR. Studying missingness in spinal cord injury data: challenges and impact of data imputation. BMC Med Res Methodol 2024; 24:5. [PMID: 38184529 PMCID: PMC10770973 DOI: 10.1186/s12874-023-02125-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 12/08/2023] [Indexed: 01/08/2024] Open
Abstract
BACKGROUND In the last decades, medical research fields studying rare conditions such as spinal cord injury (SCI) have made extensive efforts to collect large-scale data. However, most analysis methods rely on complete data. This is particularly troublesome when studying clinical data as they are prone to missingness. Often, researchers mitigate this problem by removing patients with missing data from the analyses. Less commonly, imputation methods to infer likely values are applied. OBJECTIVE Our objective was to study how handling missing data influences the results reported, taking the example of SCI registries. We aimed to raise awareness on the effects of missing data and provide guidelines to be applied for future research projects, in SCI research and beyond. METHODS Using the Sygen clinical trial data (n = 797), we analyzed the impact of the type of variable in which data is missing, the pattern according to which data is missing, and the imputation strategy (e.g. mean imputation, last observation carried forward, multiple imputation). RESULTS Our simulations show that mean imputation may lead to results strongly deviating from the underlying expected results. For repeated measures missing at late stages (> = 6 months after injury in this simulation study), carrying the last observation forward seems the preferable option for the imputation. This simulation study could show that a one-size-fit-all imputation strategy falls short in SCI data sets. CONCLUSIONS Data-tailored imputation strategies are required (e.g., characterisation of the missingness pattern, last observation carried forward for repeated measures evolving to a plateau over time). Therefore, systematically reporting the extent, kind and decisions made regarding missing data will be essential to improve the interpretation, transparency, and reproducibility of the research presented.
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Affiliation(s)
- Lucie Bourguignon
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Universitätstrasse 2, 8092, Zürich, Switzerland.
- Schulthess Klinik, Lengghalde 2, 8008, Zürich, Switzerland.
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
| | - Louis P Lukas
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Universitätstrasse 2, 8092, Zürich, Switzerland
- Schulthess Klinik, Lengghalde 2, 8008, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - James D Guest
- Neurological Surgery and the Miami Project to Cure Paralysis, U Miami, Miami, FL, 33136, USA
| | - Fred H Geisler
- Department of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Vanessa Noonan
- Praxis Spinal Cord Institute, Vancouver, British Columbia, Canada
| | - Armin Curt
- Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Lengghalde 2, 8006, Zürich, Switzerland
| | - Sarah C Brüningk
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Universitätstrasse 2, 8092, Zürich, Switzerland
- Schulthess Klinik, Lengghalde 2, 8008, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Catherine R Jutzeler
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Universitätstrasse 2, 8092, Zürich, Switzerland
- Schulthess Klinik, Lengghalde 2, 8008, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
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Smith AC, Draganich C, Thornton WA, Berliner JC, Lennarson PJ, Rejc E, Sevigny M, Charlifue S, Tefertiller C, Weber KA. A Single Dermatome Clinical Prediction Rule for Independent Walking 1 Year After Spinal Cord Injury. Arch Phys Med Rehabil 2024; 105:10-19. [PMID: 37414239 PMCID: PMC10766862 DOI: 10.1016/j.apmr.2023.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 04/24/2023] [Accepted: 06/22/2023] [Indexed: 07/08/2023]
Abstract
OBJECTIVE To derive and validate a simple, accurate CPR to predict future independent walking ability after SCI at the bedside that does not rely on motor scores and is predictive for those initially classified in the middle of the SCI severity spectrum. DESIGN Retrospective cohort study. Binary variables were derived, indicating degrees of sensation to evaluate predictive value of pinprick and light touch variables across dermatomes. The optimal single sensory modality and dermatome was used to derive our CPR, which was validated on an independent dataset. SETTING Analysis of SCI Model Systems dataset. PARTICIPANTS Individuals with traumatic SCI. The data of 3679 participants (N=3679) were included with 623 participants comprising the derivation dataset and 3056 comprising the validation dataset. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Self-reported ability to walk both indoors and outdoors. RESULTS Pinprick testing at S1 over lateral heels, within 31 days of SCI, accurately identified future independent walkers 1 year after SCI. Normal pinprick in both lateral heels provided good prognosis, any pinprick sensation in either lateral heel provided fair prognosis, and no sensation provided poor prognosis. This CPR performed satisfactorily in the middle SCI severity subgroup. CONCLUSIONS In this large multi-site study, we derived and validated a simple, accurate CPR using only pinprick sensory testing at lateral heels that predicts future independent walking after SCI.
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Affiliation(s)
- Andrew C Smith
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, CO.
| | - Christina Draganich
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, CO; Craig Hospital, Englewood, CO
| | - Wesley A Thornton
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, CO
| | - Jeffrey C Berliner
- Department of Physical Medicine and Rehabilitation, University of Colorado School of Medicine, Aurora, CO
| | - Peter J Lennarson
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO
| | - Enrico Rejc
- Department of Neurosurgery, University of Louisville School of Medicine, Louisville, KY; Department of Medicine, University of Udine, Udine, Italy
| | | | | | | | - Kenneth A Weber
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA
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Clinical characteristics and treatment of spinal cord injury in children and adolescents. Chin J Traumatol 2023; 26:8-13. [PMID: 35478089 PMCID: PMC9912187 DOI: 10.1016/j.cjtee.2022.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/24/2022] [Accepted: 03/29/2022] [Indexed: 02/04/2023] Open
Abstract
Pediatric and adult spinal cord injuries (SCI) are distinct entities. Children and adolescents with SCI must suffer from lifelong disabilities, which is a heavy burden on patients, their families and the society. There are differences in Chinese and foreign literature reports on the incidence, injury mechanism and prognosis of SCI in children and adolescents. In addition to traumatic injuries such as car accidents and falls, the proportion of sports injuries is increasing. The most common sports injury is the backbend during dance practice. Compared with adults, children and adolescents are considered to have a greater potential for neurological improvement. The pathogenesis and treatment of pediatric SCI remains unclear. The mainstream view is that the mechanism of nerve damage in pediatric SCI include flexion, hyperextension, longitudinal distraction and ischemia. We also discuss the advantages and disadvantages of drugs such as methylprednisolone in the treatment of pediatric SCI and the indications and timing of surgery. In addition, the complications of pediatric SCI are also worthy of attention. New imaging techniques such as diffusion tensor imaging and diffusion tensor tractography may be used for diagnosis and assessment of prognosis. This article reviews the epidemiology, pathogenesis, imaging, clinical characteristics, treatment and complications of SCI in children and adolescents. Although current treatment cannot completely restore neurological function, patient quality of life can be enhanced. Continued developments and advances in the research of SCI may eventually provide a cure for children and adolescents with this kind of injury.
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Tabarestani TQ, Lewis NE, Kelly-Hedrick M, Zhang N, Cellini BR, Marrotte EJ, Williamson T, Wang H, Laskowitz DT, Faw TD, Abd-El-Barr MM. Surgical Considerations to Improve Recovery in Acute Spinal Cord Injury. Neurospine 2022; 19:689-702. [PMID: 36203295 PMCID: PMC9537855 DOI: 10.14245/ns.2244616.308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/07/2022] [Indexed: 12/14/2022] Open
Abstract
Acute traumatic spinal cord injury (SCI) can be a devastating and costly event for individuals, their families, and the health system as a whole. Prognosis is heavily dependent on the physical extent of the injury and the severity of neurological dysfunction. If not treated urgently, individuals can suffer exacerbated secondary injury cascades that may increase tissue injury and limit recovery. Initial recognition and rapid treatment of acute SCI are vital to limiting secondary injury, reducing morbidity, and providing the best chance of functional recovery. This article aims to review the pathophysiology of SCI and the most up-to-date management of the acute traumatic SCI, specifically examining the modern approaches to surgical treatments along with the ethical limitations of research in this field.
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Affiliation(s)
| | - Nicholle E. Lewis
- Doctor of Physical Therapy Division, Department of Orthopaedic Surgery, Duke University, Durham, NC, USA
| | | | - Nina Zhang
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
| | - Brianna R. Cellini
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
| | - Eric J. Marrotte
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Theresa Williamson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA,Center for Bioethics, Harvard Medical School, Boston, MA, USA
| | - Haichen Wang
- Department of Neurology, Duke University, Durham, NC, USA
| | | | - Timothy D. Faw
- Doctor of Physical Therapy Division, Department of Orthopaedic Surgery, Duke University, Durham, NC, USA,Duke Institute for Brain Sciences, Duke University, Durham, NC, USA
| | - Muhammad M. Abd-El-Barr
- Department of Neurosurgery, Duke University, Durham, NC, USA,Corresponding Author Muhammad M. Abd-El-Barr Department of Neurosurgery, Duke University Medical Center 2840, Room 5335 5th Floor, Orange Zone, Duke South, Durham, NC 27710, USA
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10
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Tefertiller C, Rozwod M, VandeGriend E, Bartelt P, Sevigny M, Smith AC. Transcutaneous Electrical Spinal Cord Stimulation to Promote Recovery in Chronic Spinal Cord Injury. FRONTIERS IN REHABILITATION SCIENCES 2022; 2. [PMID: 36004322 PMCID: PMC9396932 DOI: 10.3389/fresc.2021.740307] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Objective: To evaluate the impact of using transcutaneous electrical spinal cord stimulation (TSCSTSCS) on upper and lower extremity function in individuals with chronic spinal cord injury (SCI). Design: Prospective case series. Setting: SCI specific rehabilitation hospital. Participants: A convenience sample (N = 7) of individuals with tetraplegia who had previously been discharged from outpatient therapy due to a plateau in progress. Interventions: Individuals participated in 60 min of upper extremity (UE) functional task-specific practice (FTP) in combination with TSCS and 60 min of locomotor training in combination with TSCS 5x/week. Main Outcome Measures: The primary outcome for this analysis was the Capabilities of Upper Extremity Test (CUE-T). Secondary outcomes include UE motor score (UEMS), LE motor score (LEMS), sensation (light touch and pin prick), Nine-Hole Peg Test, 10 meter walk test, 6 min walk test, and 5 min stand test. Results: Seven individuals (four motor complete; three motor incomplete) completed 20–80 sessions UE and LE training augmented with TSCS and without any serious adverse events. Improvements were reported on the CUE-T in all seven individuals. Two individuals improved their ASIA impairment scale (AIS) classification (B to C; C to D) and two individuals improved their neurologic level of injury by one level (C4–C5; C5–C6). Sensation improved in five individuals and all four who started out with motor complete SCIs were able to voluntarily activate their LEs on command in the presence of stimulation. Conclusion: Individuals with chronic SCI who had previously demonstrated a plateau in function after an intensive outpatient therapy program were able to improve in a variety of UE and LE outcomes in response to TSCS without any adverse events. This was a small pilot study and future fully powered studies with comparative interventions need to be completed to assess efficacy.
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Affiliation(s)
- Candace Tefertiller
- Craig Hospital, Englewood, CO, United States
- *Correspondence: Candace Tefertiller
| | | | | | | | | | - Andrew C. Smith
- Department of Physical Medicine and Rehabilitation, University of Colorado, Denver, CO, United States
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11
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Smith AC, O’Dell DR, Albin SR, Berliner JC, Dungan D, Robinson E, Elliott JM, Carballido-Gamio J, Stevens-Lapsley J, Weber KA. Lateral Corticospinal Tract and Dorsal Column Damage: Predictive Relationships With Motor and Sensory Scores at Discharge From Acute Rehabilitation After Spinal Cord Injury. Arch Phys Med Rehabil 2022; 103:62-68. [PMID: 34371017 PMCID: PMC8712383 DOI: 10.1016/j.apmr.2021.07.792] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To determine if lateral corticospinal tract (LCST) integrity demonstrates a significant predictive relationship with future ipsilateral lower extremity motor function (LEMS) and if dorsal column (DC) integrity demonstrates a significant predictive relationship with future light touch (LT) sensory function post spinal cord injury (SCI) at time of discharge from inpatient rehabilitation. DESIGN Retrospective analyses of imaging and clinical outcomes. SETTING University and academic hospital. PARTICIPANTS A total of 151 participants (N=151) with SCI. INTERVENTIONS Inpatient rehabilitation. MAIN OUTCOME MEASURES LEMS and LT scores at discharge from inpatient rehabilitation. RESULTS In 151 participants, right LCST spared tissue demonstrated a significant predictive relationship with right LEMS percentage recovered (β=0.56; 95% confidence interval [CI], 0.37-0.73; R=0.43; P<.001). Left LCST spared tissue demonstrated a significant predictive relationship with left LEMS percentage recovered (β=0.66; 95% CI, 0.50-0.82; R=0.51; P<.001). DC spared tissue demonstrated a significant predictive relationship with LT percentage recovered (β=0.69; 95% CI, 0.52-0.87; R=0.55; P<.001). When subgrouping the participants into motor complete vs incomplete SCI, motor relationships were no longer significant, but the sensory relationship remained significant. Those who had no voluntary motor function but recovered some also had significantly greater LCST spared tissue than those who did not recover motor function. CONCLUSIONS LCST demonstrated significant moderate predictive relationships with lower extremity motor function at the time of discharge from inpatient rehabilitation, in an ipsilesional manner. DC integrity demonstrated a significant moderate predictive relationship with recovered function of LT. With further development, these neuroimaging methods might be used to predict potential deficits after SCI and to provide corresponding targeted interventions.
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Affiliation(s)
- Andrew C. Smith
- University of Colorado School of Medicine, Department of Physical Medicine and Rehabilitation, Physical Therapy Program, Aurora, CO USA,Regis University School of Physical Therapy, Denver, CO USA
| | - Denise R. O’Dell
- Regis University School of Physical Therapy, Denver, CO USA,Craig Hospital, Englewood, CO USA
| | | | | | - David Dungan
- Craig Hospital, Englewood, CO USA,Radiology Imaging Associates, Denver, CO USA
| | | | - James M. Elliott
- Faculty of Medicine and Health, The University of Sydney, Northern Sydney Local Health District, The Kolling Research Institute, St Leonards, Sydney, Australia
| | | | - Jennifer Stevens-Lapsley
- University of Colorado School of Medicine, Department of Physical Medicine and Rehabilitation, Physical Therapy Program, Aurora, CO USA
| | - Kenneth A. Weber
- Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Palo Alto, CA USA
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12
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Spinal cord imaging markers and recovery of standing with epidural stimulation in individuals with clinically motor complete spinal cord injury. Exp Brain Res 2021; 240:279-288. [PMID: 34854934 DOI: 10.1007/s00221-021-06272-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 10/20/2021] [Indexed: 02/04/2023]
Abstract
Spinal cord epidural stimulation (scES) is an intervention to restore motor function in those with severe spinal cord injury (SCI). Spinal cord lesion characteristics assessed via magnetic resonance imaging (MRI) may contribute to understand motor recovery. This study assessed relationships between standing ability with scES and spared spinal cord tissue characteristics at the lesion site. We hypothesized that the amount of lateral spared cord tissue would be related to independent extension in the ipsilateral lower limb. Eleven individuals with chronic, clinically motor complete SCI underwent spinal cord MRI, and were subsequently implanted with scES. Standing ability and lower limb activation patterns were assessed during an overground standing experiment with scES. This assessment occurred prior to any activity-based intervention with scES. Lesion hyperintensity was segmented from T2 axial images, and template-based analysis was used to estimate spared tissue in anterior, posterior, right, and left spinal cord regions. Regression analysis was used to assess relationships between imaging and standing outcomes. Total volume of spared tissue was related to left (p = 0.007), right (p = 0.005), and bilateral (p = 0.011) lower limb extension. Spared tissue in the left cord region was related to left lower limb extension (p = 0.019). A positive trend (p = 0.138) was also observed between right spared cord tissue and right lower limb extension. In this study, MRI measures of spared spinal cord tissue were significantly related to standing outcomes with scES. These preliminary results warrant future investigation of roles of supraspinal input and MRI-detected spared spinal cord tissue on lower limb motor responsiveness to scES.
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13
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Abstract
PURPOSE OF REVIEW This review covers recent advances in identifying conventional and quantitative neuroimaging spinal cord biomarkers of lesion severity and remote spinal cord pathology following traumatic spinal cord injury (SCI). It discusses the potential of the most sensitive neuroimaging spinal cord biomarkers to complement clinical workup and improve prediction of recovery. RECENT FINDINGS At the injury site, preserved midsagittal tissue bridges - based on conventional sagittal T2-weighted scans - can be identified in the majority of SCI patients; its width being predictive of recovery. Remote from the injury, diffusion indices, and myelin/iron-sensitive neuroimaging-based changes are sensitive to secondary disease processes; its magnitude of change being associated with neurological outcome. SUMMARY Neuroimaging biomarkers reveal focal and remote cord pathology. These biomarkers show sensitivity to the underlying disease processes and are clinically eloquent. Thus, they improve injury characterization, enable spatiotemporal tracking of cord pathology, and predict recovery of function following traumatic SCI. Neuroimaging biomarkers, therefore, hold potential to complement the clinical diagnostic workup, improve patient stratification, and can serve as potential endpoints in clinical trials.
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Affiliation(s)
- Dario Pfyffer
- Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland
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14
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Rao JS, Zhao C, Bao SS, Feng T, Xu M. MRI metrics at the epicenter of spinal cord injury are correlated with the stepping process in rhesus monkeys. Exp Anim 2021; 71:139-149. [PMID: 34789621 PMCID: PMC9130044 DOI: 10.1538/expanim.21-0154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Clinical evaluations of long-term outcomes in the early-stage spinal cord injury (SCI) focus on macroscopic motor performance and are limited in their prognostic precision. This study was designed to investigate the sensitivity of the magnetic resonance imaging (MRI) indexes to the data-driven gait process after SCI. Ten adult female rhesus monkeys were subjected to thoracic SCI. Kinematics-based gait examinations were performed at 1 (early stage) and 12 (chronic stage) months post-SCI. The proportion of stepping (PS) and gait stability (GS) were calculated as the outcome measures. MRI metrics, which were derived from structural imaging (spinal cord cross-sectional area, SCA) and diffusion tensor imaging (fractional anisotropy, FA; axial diffusivity, λ//), were acquired in the early stage and compared with functional outcomes by using correlation analysis and stepwise multivariable linear regression. Residual tissue SCA at the injury epicenter and residual tissue FA/remote normal-like tissue FA were correlated with the early-stage PS and GS. The extent of lesion site λ///residual tissue λ// in the early stage after SCI was correlated with the chronic-stage GS. The ratios of lesion site λ// to residual tissue λ// and early-stage GS were predictive of the improvement in the PS at follow-up. Similarly, the ratios of lesion site λ// to residual tissue λ// and early-stage PS best predicted chronic GS recovery. Our findings demonstrate the predictive power of MRI combined with the early data-driven gait indexes for long-term outcomes. Such an approach may help clinicians to predict functional recovery accurately.
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Affiliation(s)
- Jia-Sheng Rao
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University
| | - Can Zhao
- Institute of Rehabilitation Engineering, China Rehabilitation Science Institute.,School of Rehabilitation, Capital Medical University
| | - Shu-Sheng Bao
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University
| | - Ting Feng
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University
| | - Meng Xu
- Department of Orthopedics, The First Medical Center of PLA General Hospital
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15
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Berliner JC, O'Dell DR, Albin SR, Dungan D, Sevigny M, Elliott JM, Weber KA, Abdie DR, Anderson JS, Rich AA, Seib CA, Sagan HGS, Smith AC. The influence of conventional T 2 MRI indices in predicting who will walk outside one year after spinal cord injury. J Spinal Cord Med 2021; 46:501-507. [PMID: 33798025 PMCID: PMC10116921 DOI: 10.1080/10790268.2021.1907676] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
CONTEXT/OBJECTIVE Magnetic resonance imaging (MRI) indices of spinal cord damage are predictive of future motor function after spinal cord injury (SCI): hyperintensity length, midsagittal tissue bridges, and Brain and Spinal Injury Center (BASIC) scores. Whether these indices are predictive of outdoor walking after SCI is unknown. The primary purpose was to see if these MRI indices predict the ability to walk outdoors one-year after SCI. The secondary purpose was to determine if MRI indices provide additional predictive value if initial lower extremity motor scores are available. DESIGN Retrospective. Clinical T2-weighted MRIs were used to quantify spinal cord damage. Three MRI indices were calculated: midsagittal ventral tissue bridges, hyperintensity length, BASIC scores. SETTING Academic hospital. PARTICIPANTS 129 participants with cervical SCI. INTERVENTIONS Inpatient rehabilitation. OUTCOMES MEASURES One year after SCI, participants self-reported their outdoor walking ability. RESULTS Midsagittal ventral tissue bridges, hyperintensity length, and BASIC scores significantly correlated with outdoor walking ability (R = 0.34, P < 0.001; R = -0.25, P < 0.01; Rs = -0.35, P < 001, respectively). Using midsagittal ventral tissue bridges and hyperintensity length, the final adjusted R2 for model 1 = 0.19. For model 2, the adjusted R2 using motor scores alone = 0.81 and MRI variables were non-significant. All five participants with observable intramedullary hemorrhage reported they were unable to walk one block outdoors. CONCLUSIONS The MRI indices were significant predictors of outdoor walking ability, but when motor scores were available, this was the strongest predictor and neither midsagittal tissue bridges nor hyperintensity length contributed additional value. MRI indices may be a quick and convenient supplement to physical examination when motor testing is unavailable.
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Affiliation(s)
| | - Denise R O'Dell
- Craig Hospital, Englewood, Colorado, USA.,Regis University School of Physical Therapy, Denver, Colorado, USA
| | | | - David Dungan
- Craig Hospital, Englewood, Colorado, USA.,Radiology Imaging Associates, Denver, Colorado, USA
| | | | - James M Elliott
- Faculty of Medicine and Health, The University of Sydney, Northern Sydney Local Health District, The Kolling Research Institute, St Leonards, Sydney, Australia
| | - Kenneth A Weber
- Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Palo Alto, California, USA
| | - Daniel R Abdie
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Jack S Anderson
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Alison A Rich
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Carly A Seib
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Hannah G S Sagan
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Andrew C Smith
- Regis University School of Physical Therapy, Denver, Colorado, USA.,Department of Physical Medicine and Rehabilitation Physical Therapy Program, University of Colorado School of Medicine, Aurora, Colorado, USA
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