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Dietz N, Vaitheesh Jaganathan, Alkin V, Mettille J, Boakye M, Drazin D. Machine learning in clinical diagnosis, prognostication, and management of acute traumatic spinal cord injury (SCI): A systematic review. J Clin Orthop Trauma 2022; 35:102046. [PMID: 36425281 PMCID: PMC9678757 DOI: 10.1016/j.jcot.2022.102046] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/23/2022] [Accepted: 10/18/2022] [Indexed: 11/19/2022] Open
Abstract
Background Machine learning has been applied to improve diagnosis and prognostication of acute traumatic spinal cord injury. We investigate potential for clinical integration of machine learning in this patient population to navigate variability in injury and recovery. Materials and methods We performed a systematic review using PRISMA guidelines through PubMed database to identify studies that use machine learning algorithms for clinical application toward improvements in diagnosis, management, and predictive modeling. Results Of the 132 records identified, a total of 13 articles met inclusion criteria and were included in final analysis. Of the 13 articles, 5 focused on diagnostic accuracy and 8 were related to prognostication or management of traumatic spinal cord injury. Across studies, 1983 patients with spinal cord injury were evaluated with most classifying as ASIA C or D. Retrospective designs were used in 10 of 13 studies and 3 were prospective. Studies focused on MRI evaluation and segmentation for diagnostic accuracy and prognostication, investigation of mean arterial pressure in acute care and intraoperative settings, prediction of ambulatory and functional ability, chronic complication prevention, and psychological quality of life assessments. Decision tree, random forests (RF), support vector machines (SVM), hierarchical cluster tree analysis (HCTA), artificial neural networks (ANN), convolutional neural networks (CNN) machine learning subtypes were used. Conclusions Machine learning represents a platform technology with clinical application in traumatic spinal cord injury diagnosis, prognostication, management, rehabilitation, and risk prevention of chronic complications and mental illness. SVM models showed improved accuracy when compared to other ML subtypes surveyed. Inherent variability across patients with SCI offers unique opportunity for ML and personalized medicine to drive desired outcomes and assess risks in this patient population.
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Affiliation(s)
- Nicholas Dietz
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Hwy, Louisville, KY, 40202, USA
| | - Vaitheesh Jaganathan
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Hwy, Louisville, KY, 40202, USA
| | | | - Jersey Mettille
- Department of Anesthesia, University of Louisville, Louisville, KY, USA
| | - Maxwell Boakye
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Hwy, Louisville, KY, 40202, USA
| | - Doniel Drazin
- Department of Neurosurgery, Providence Regional Medical Center Everett, Everett, WA, USA
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3
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Ter Wengel PV, de Gendt EEA, Martin E, Adegeest CY, Stolwijk-Swüste J, Fehlings MG, Oner FC, Vandertop WP. The impact of surgical timing on motor level lowering in motor complete traumatic spinal cord injury patients. J Neurotrauma 2022; 39:651-657. [PMID: 35019765 DOI: 10.1089/neu.2021.0428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Patients with motor complete traumatic spinal cord injury (tSCI) have a low potential to recover ambulation. Motor level recovery, adjacent to the level of injury, could influence functional independency. This study addresses whether surgical timing influences motor level recovery in patients with sensorimotor complete (AIS A) and motor complete sensory incomplete (AIS B) tSCI. A retrospective cohort study was performed in the Netherlands in patients with motor complete tSCI (C2-L2), who consecutively underwent surgery between January 2010 and April 2020. Neurological examination was performed directly at presentation to the ER and at discharge from the rehabilitation facility. Motor level lowering, AIS grade and Upper and Lower Extremity Motor Score (UEMS and LEMS) recovery were calculated for patients who underwent early (<24h) and late (24h+) surgery. A total of 96 patients met the inclusion criteria. In the multivariate analysis late surgical decompression (24h+) was negatively associated with ≥1 motor level lowering and ≥2 AIS grade improvement (Odds Ratio (OR) 0.11 (95% CI: 0.01, 0.67) p=0.046, OR 0.06 (95% CI: 0.00, 047) p=0.030). The presence of sacral sparing (AIS B) at initial examination, and cervical level of the tSCI were associated with ≥1 motor level lowering. In addition, AOSpine C-type injuries were negatively associated with any type of neurological recovery, except motor level lowering. Although sensorimotor complete injuries as well as thoracolumbar injuries negatively influence neurological recovery, early surgical decompression (<24h) appears independently associated with enhanced neurological recovery in patients with traumatic spinal cord injury despite level and severity of injury.
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Affiliation(s)
- Paula Valerie Ter Wengel
- Amsterdam UMC Locatie VUmc, 1209, Neurosurgery, Amsterdam, Noord-Holland, Netherlands.,Medisch Centrum Haaglanden Westeinde, 2901, Neurosurgery, Den Haag, Zuid-Holland, Netherlands;
| | | | - Enrico Martin
- UMC Utrecht, 8124, Plastic and reconstructive surgery, Utrecht, Utrecht, Netherlands;
| | - Charlotte Y Adegeest
- Medisch Centrum Haaglanden Westeinde, 2901, Den Haag, Zuid-Holland, Netherlands.,Leiden Universitair Medisch Centrum, 4501, Leiden, Zuid-Holland, Netherlands;
| | - Janneke Stolwijk-Swüste
- UMC Utrecht Brain Center Rudolf Magnus, 36512, Center of Excellence for Rehabilitation Medicine, Heidelberglaan 100, Utrecht, Utrecht, Netherlands, 3584 CX.,Revalidation Centre De Hoogstraat, 84896, Center of Excellence for Rehabilitation Medicine, Rembrandtkade 10, Utrecht, Utrecht, Netherlands, 3583 TM;
| | - Michael G Fehlings
- Toronto Western Hospital, 26625, Neurosurgery, Toronto, Ontario, Canada;
| | - F Cumhur Oner
- Universitair Medisch Centrum Utrecht, 8124, Utrecht, Utrecht, Netherlands;
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4
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Grassner L, Garcia-Ovejero D, Mach O, Lopez-Dolado E, Vargas-Vaquero E, Alcobendas M, Esclarin A, Sanktjohanser L, Wutte C, Becker J, Lener S, Hartmann S, Girod PP, Koegl N, Griessenauer C, Papadopoulos MC, Geisler F, Thomé C, Molina-Holgado E, Vidal J, Curt A, Scivoletto G, Guest J, Maier D, Weidner N, Rupp R, Kramer JLK, Arevalo-Martin A. A NEW SCORE BASED ON THE INTERNATIONAL STANDARDS FOR NEUROLOGICAL CLASSIFICATION OF SPINAL CORD INJURY FOR INTEGRATIVE EVALUATION OF CHANGES IN SENSORIMOTOR FUNCTIONS. J Neurotrauma 2021; 39:613-626. [PMID: 34937399 DOI: 10.1089/neu.2021.0368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
Sensorimotor function of patients with spinal cord injury (SCI) is commonly assessed according to the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI). From the ISNCSCI segmental motor and sensory assessments, upper and lower extremity motor scores (UEMS and LEMS), sum scores of pin prick (PP) and light touch (LT) sensation, the neurological level of injury (NLI) and the classification of lesion severity according to the American Spinal Injury Association Impairment Scale (AIS) grade are derived. Changes of these parameters over time are widely used to evaluate neurological recovery. However, evaluating recovery based on a single ISNCSCI scoring or classification variable may misestimate overall recovery. Here, we propose an Integrated Neurological Change Score (INCS) based on the combination of normalized changes between two-time points of UEMS, LEMS, and total PP and LT scores. To assess the agreement of INCS with clinical judgement of meaningfulness of neurological changes, changes of ISNCSCI variables between two time-points of 88 patients from an independent cohort were rated by 20 clinical experts according to a 5-categories Likert Scale. As for individual ISNCSCI variables, neurological change measured by INCS is associated to severity (AIS grade), age and time since injury, but INCS better reflects clinical judgment about meaningfulness of neurological changes than individual ISNCSCI variables. In addition, INCS is related with changes in functional independence measured by the Spinal Cord Independence Measure (SCIM) in patients with tetraplegia. INCS may be a useful measure of overall neurological change in clinical studies.
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Affiliation(s)
- Lukas Grassner
- Innsbruck Medical University Department of Neurology and Neurosurgery, 417777, Innsbruck, Tirol, Austria.,Paracelsus Medical University Salzburg, 31507, Institute of Molecular Regenerative Medicine, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Salzburg, Salzburg, Austria;
| | - Daniel Garcia-Ovejero
- Hospital Nacional de Parapléjicos, SESCAM, Laboratorio de Neuroinflamación, Finca La Peraleda, Toledo, Spain, 45071;
| | - Orpheus Mach
- Trauma Center Murnau, Center for Spinal Cord Injuries, Prof.-Kuentscher-Str. 8, Murnau, Germany, 82418;
| | - Elisa Lopez-Dolado
- Hospital Nacional de Paraplejicos, Physical Medicine and Rehabilitation, Toledo, Spain;
| | | | - Monica Alcobendas
- Hospital Nacional de Paraplejicos, Physical Medicine and Rehabilitation, Toledo, Spain;
| | - Ana Esclarin
- HOSPITAL NACIONAL DE PARAPLEJICOS, Physical Medicine and Rehabilitation, Finca de la Peraleda S/N, Toledo, Toledo, Spain, 45007.,Fund;
| | | | - Christof Wutte
- Trauma Center Murnau, Center for Spinal Cord Injuries, Murnau, Germany;
| | - Johannes Becker
- Trauma Center Murnau, Center for Spinal Cord Injuries, Murnau, Germany;
| | - Sara Lener
- Innsbruck Medical University Department of Neurology and Neurosurgery, 417777, Innsbruck, Tirol, Austria;
| | - Sebastian Hartmann
- Innsbruck Medical University Department of Neurology and Neurosurgery, 417777, Innsbruck, Tirol, Austria;
| | - Pierre-Pascal Girod
- Innsbruck Medical University Department of Neurology and Neurosurgery, 417777, Innsbruck, Tirol, Austria;
| | - Nikolaus Koegl
- Innsbruck Medical University Department of Neurology and Neurosurgery, 417777, Innsbruck, Tirol, Austria;
| | - Christoph Griessenauer
- Geisinger Health System, 2780, Neurosurgery, Danville, Pennsylvania, United States.,Harvard Medical School, 1811, Neurological Surgery, Boston, Massachusetts, United States;
| | - Marios C Papadopoulos
- St George's University of London, Academic Neurosurgery Unit, St George's, University of London, 1.122 Jenner Wing, Cranmer Terrace, London, United Kingdom of Great Britain and Northern Ireland, SW17 0RE;
| | - Fred Geisler
- University of Saskatchewan College of Medicine, 12371, Saskatoon, Saskatchewan, Canada;
| | - Claudius Thomé
- Medical University Innsbruck, Dept. of Neurosurgery, Anichstr. 35, Innsbruck, Austria, 6020;
| | - Eduardo Molina-Holgado
- Hospital Nacional de Parapléjicos, SESCAM, Laboratorio de Neuroinflamación, Finca La Peraleda s/n, Toledo, Spain, 45071;
| | - Joan Vidal
- Institut Guttmann, 83068, Badalona, Catalunya, Spain;
| | - Armin Curt
- University Hospital Balgrist, Spinal Cord Injury Center, Forchstrasse, Zurich, Switzerland, 8008;
| | - Giorgio Scivoletto
- IRCCS Fondazioen S. Lucia, Spinal Cord Unit, via Ardeatina 306, Rome, Italy, 00179;
| | - James Guest
- University of Miami, Neurological Surgery, 1095 NW 14th Terrace, Miami, Florida, United States, 33136;
| | - Doris Maier
- Trauma Center Murnau, Center for Spinal Cord Injuries, Murnau, Germany;
| | - Norbert Weidner
- University Hospital Heidelberg, Spinal Cord Injury Center, Schlierbacher Landstr, Heidelberg, Germany, 69118;
| | - Rüdiger Rupp
- University Hospital Heidelberg, Spinal Cord Injury Center, Schlierbacher Landstr. 200a, Heidelberg, BW, Germany, 69118;
| | - John L K Kramer
- University of British Columbia International Collaboration on Repair Discoveries, 507272, Vancouver, British Columbia, Canada;
| | - Angel Arevalo-Martin
- Hospital Nacional de Paraplejicos, Laboratory of Neuroinflammation, Finca la Peraleda, s/n, Toledo, Spain, 45071;
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6
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Błaszczyszyn M, Borysiuk Z, Piechota K, Kręcisz K, Zmarzły D. Wavelet coherence as a measure of trunk stabilizer muscle activation in wheelchair fencers. BMC Sports Sci Med Rehabil 2021; 13:140. [PMID: 34717749 PMCID: PMC8557511 DOI: 10.1186/s13102-021-00369-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 10/27/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND Intermuscular synchronization constitutes one of the key aspects of effective sport performance and activities of daily living. The aim of the study was to assess the synchronization of trunk stabilizer muscles in wheelchair fencers with the use of wavelet analysis. METHODS Intermuscular synchronization and antagonistic EMG-EMG coherence were evaluated in the pairs of the right and the left latissimus dorsi/external oblique abdominal (LD/EOA) muscles. The study group consisted of 16 wheelchair fencers, members of the Polish Paralympic Team, divided into two categories of disability (A and B). Data analysis was carried out in three stages: (1) muscle activation recording using sEMG; (2) wavelet coherence analysis; and (3) coherence density analysis. RESULTS In the Paralympic wheelchair fencers, regardless of their disability category, the muscles were activated at low frequency levels: 8-20 Hz for category A fencers, and 5-15 Hz for category B fencers. CONCLUSIONS The results demonstrated a clear activity of the trunk muscles in the wheelchair fencers, including those with spinal cord injury, which can be explained as an outcome of their intense training. EMG signal processing application have great potential for performance improvement and diagnosis of wheelchair athletes.
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Affiliation(s)
- Monika Błaszczyszyn
- Faculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland.
| | - Zbigniew Borysiuk
- Faculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland
| | - Katarzyna Piechota
- Faculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland
| | - Krzysztof Kręcisz
- Faculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland
| | - Dariusz Zmarzły
- Faculty of Electrical Engineering, Automatics and Computer Science, Opole University of Technology, Prószkowska 76, 45-758, Opole, Poland
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