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de Souza DN, Jarmol M, Bell CA, Marini C, Balcer LJ, Galetta SL, Grossman SN. Precision Concussion Management: Approaches to Quantifying Head Injury Severity and Recovery. Brain Sci 2023; 13:1352. [PMID: 37759953 PMCID: PMC10526525 DOI: 10.3390/brainsci13091352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 09/29/2023] Open
Abstract
Mitigating the substantial public health impact of concussion is a particularly difficult challenge. This is partly because concussion is a highly prevalent condition, and diagnosis is predominantly symptom-based. Much of contemporary concussion management relies on symptom interpretation and accurate reporting by patients. These types of reports may be influenced by a variety of factors for each individual, such as preexisting mental health conditions, headache disorders, and sleep conditions, among other factors. This can all be contributory to non-specific and potentially misleading clinical manifestations in the aftermath of a concussion. This review aimed to conduct an examination of the existing literature on emerging approaches for objectively evaluating potential concussion, as well as to highlight current gaps in understanding where further research is necessary. Objective assessments of visual and ocular motor concussion symptoms, specialized imaging techniques, and tissue-based concentrations of specific biomarkers have all shown promise for specifically characterizing diffuse brain injuries, and will be important to the future of concussion diagnosis and management. The consolidation of these approaches into a comprehensive examination progression will be the next horizon for increased precision in concussion diagnosis and treatment.
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Affiliation(s)
- Daniel N. de Souza
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
| | - Mitchell Jarmol
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
| | - Carter A. Bell
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
| | - Christina Marini
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
| | - Laura J. Balcer
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10017, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, NY 10017, USA
| | - Steven L. Galetta
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10017, USA
| | - Scott N. Grossman
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10017, USA
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Diffusional kurtosis imaging as a possible prognostic marker of cervical incomplete spinal cord injury outcome: a prospective pilot study. Acta Neurochir (Wien) 2022; 164:25-32. [PMID: 34671848 DOI: 10.1007/s00701-021-05018-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/11/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Spinal cord injury (SCI) is associated with substantial chronic morbidity and mortality. Routine imaging techniques such as T1- and T2-weighted magnetic resonance imaging (MRI) are not effective in predicting neurological deficiency grade or outcome. Diffusional kurtosis imaging (DKI) is an MR imaging technique that provides microstructural information about biological tissue. There are no longitudinal prospective studies assessing DKI metrics in acute traumatic SCI. Therefore, the purpose of this study was to establish a DKI protocol for acute SCI and correlate the DKI metrics to the functional neurological outcome of the patients. METHODS Eight consecutive SCI patients referred to our institution with cervical SCI were included in the study. An acute diagnostic MRI scan was supplemented with a novel fast, mean kurtosis DKI protocol, which describes the average deviation from Gaussian diffusional along nine different directions. Mean kurtosis values were measured at the injury site and normalized to the mean kurtosis values of a non-injured site. At discharge form specialized rehabilitation, patients were evaluated using the Spinal Cord Independence Measure-III (SCIM-III). The DKI metrics and SCIM-III were analysed using Spearman's rank correlation. RESULTS This pilot study found a significant correlation between decreasing mean kurtosis values at the injury site of the spinal cord and higher grade of disability measured by the SCIM-III (p = 0.002). CONCLUSION This pilot study found that DKI may be a valuable tool as a prognostic marker in the acute phase of SCI.
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Application of Magnetic Resonance Imaging of Patients with Concussion in Clinical Emergency. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:7749540. [PMID: 34899970 PMCID: PMC8654544 DOI: 10.1155/2021/7749540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/08/2021] [Accepted: 11/22/2021] [Indexed: 01/10/2023]
Abstract
Concussion syndrome is a common disease in neurosurgery, and its incidence ranks first among all traumatic brain injuries. Cognitive dysfunction is one of the most common functional impairments in concussion syndrome. Neuroimaging and content assessments on concussion patients and healthy control subjects are used in this study, which uses MRI technology to evaluate brain pictures of concussion patients. Moreover, this paper separately evaluates the scores of the concussion syndrome group and the healthy control group in multiple functional aspects and performs independent sample t-test after statistics of the two scores. In addition, this paper uses resting-state fMRI to study the changes in the functional connectivity of the medial prefrontal lobe in patients with PCS, which has certain significance in revealing cognitive dysfunction after concussion and has a certain effect on improving the clinical emergency diagnosis and treatment of concussion.
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