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Plante V, Basu M, Gettings JV, Luchette M, LaRovere KL. Update in Pediatric Neurocritical Care: What a Neurologist Caring for Critically Ill Children Needs to Know. Semin Neurol 2024. [PMID: 38788765 DOI: 10.1055/s-0044-1787047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
Currently nearly one-quarter of admissions to pediatric intensive care units (PICUs) worldwide are for neurocritical care diagnoses that are associated with significant morbidity and mortality. Pediatric neurocritical care is a rapidly evolving field with unique challenges due to not only age-related responses to primary neurologic insults and their treatments but also the rarity of pediatric neurocritical care conditions at any given institution. The structure of pediatric neurocritical care services therefore is most commonly a collaborative model where critical care medicine physicians coordinate care and are supported by a multidisciplinary team of pediatric subspecialists, including neurologists. While pediatric neurocritical care lies at the intersection between critical care and the neurosciences, this narrative review focuses on the most common clinical scenarios encountered by pediatric neurologists as consultants in the PICU and synthesizes the recent evidence, best practices, and ongoing research in these cases. We provide an in-depth review of (1) the evaluation and management of abnormal movements (seizures/status epilepticus and status dystonicus); (2) acute weakness and paralysis (focusing on pediatric stroke and select pediatric neuroimmune conditions); (3) neuromonitoring modalities using a pathophysiology-driven approach; (4) neuroprotective strategies for which there is evidence (e.g., pediatric severe traumatic brain injury, post-cardiac arrest care, and ischemic stroke and hemorrhagic stroke); and (5) best practices for neuroprognostication in pediatric traumatic brain injury, cardiac arrest, and disorders of consciousness, with highlights of the 2023 updates on Brain Death/Death by Neurological Criteria. Our review of the current state of pediatric neurocritical care from the viewpoint of what a pediatric neurologist in the PICU needs to know is intended to improve knowledge for providers at the bedside with the goal of better patient care and outcomes.
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Affiliation(s)
- Virginie Plante
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
| | - Meera Basu
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | | | - Matthew Luchette
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
| | - Kerri L LaRovere
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
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2
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Şahin S, Botan E, Gün E, Yüksel MF, Süt NY, Kartal AT, Gurbanov A, Kahveci F, Özen H, Havan M, Yıldırım M, Şahap SK, Bektaş Ö, Teber S, Fitoz S, Kendirli T. Correlation between early computed tomography findings and neurological outcome in pediatric traumatic brain injury patients. Neurol Sci 2024:10.1007/s10072-024-07511-x. [PMID: 38622450 DOI: 10.1007/s10072-024-07511-x] [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: 01/11/2024] [Accepted: 03/30/2024] [Indexed: 04/17/2024]
Abstract
Traumatic brain injury (TBI) is a leading cause of morbidity and mortality in children. Head computed tomography (CT) is frequently utilized for evaluating trauma-related characteristics, selecting treatment options, and monitoring complications in the early stages. This study assessed the relationship between cranial CT findings and early and late neurological outcomes in pediatric TBI patients admitted to the pediatric intensive care unit (PICU). The study included children aged 1 month to 18 years who were admitted to the PICU due to TBI between 2014 and 2020. Sociodemographic data, clinical characteristics, and cranial CT findings were analyzed. Patients were categorized based on their Glasgow Coma Scale (GCS) score. Of the 129 patients, 83 (64%) were male, and 46 (36%) were female, with a mean age of 6.8 years. Falls (n = 51, 39.5%) and in-vehicle traffic accidents (n = 35, 27.1%) were the most common trauma types observed. Normal brain imaging findings were found in 62.7% of the patients, while 37.3% exhibited intracranial pathology. Hemorrhage was the most frequent CT finding. Severe TBI (n = 26, p = 0.032) and mortality (n = 9, p = 0.017) were more prevalent in traffic accidents. The overall mortality rate in the study population was 10.1%. In children with TBI, cranial CT imaging serves as an essential initial method for patients with neurological manifestations. Particularly, a GCS score of ≤ 8, multiple hemorrhages, diffuse cerebral edema, and intraventricular bleeding are associated with sequelae and mortality.
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Affiliation(s)
- Süleyman Şahin
- Department of Pediatric Neurology, Ankara University Medical School, Çocuk Nöroloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey.
| | - Edin Botan
- Department of Pediatric Intensive Care Unit, Ankara University Medical School, Çocuk Yoğun Bakım Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Emrah Gün
- Department of Pediatric Intensive Care Unit, Ankara University Medical School, Çocuk Yoğun Bakım Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Merve Feyza Yüksel
- Department of Pediatric Neurology, Ankara University Medical School, Çocuk Nöroloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Nurşah Yeniay Süt
- Department of Pediatric Neurology, Ankara University Medical School, Çocuk Nöroloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Ayşe Tuğba Kartal
- Department of Pediatric Neurology, Ankara University Medical School, Çocuk Nöroloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Anar Gurbanov
- Department of Pediatric Intensive Care Unit, Ankara University Medical School, Çocuk Yoğun Bakım Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Fevzi Kahveci
- Department of Pediatric Intensive Care Unit, Ankara University Medical School, Çocuk Yoğun Bakım Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Hasan Özen
- Department of Pediatric Intensive Care Unit, Ankara University Medical School, Çocuk Yoğun Bakım Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Merve Havan
- Department of Pediatric Intensive Care Unit, Ankara University Medical School, Çocuk Yoğun Bakım Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Miraç Yıldırım
- Department of Pediatric Neurology, Ankara University Medical School, Çocuk Nöroloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Seda Kaynak Şahap
- Department of Pediatric Radiology, Ankara University Medical School, Çocuk Radyoloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Ömer Bektaş
- Department of Pediatric Neurology, Ankara University Medical School, Çocuk Nöroloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Serap Teber
- Department of Pediatric Neurology, Ankara University Medical School, Çocuk Nöroloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Suat Fitoz
- Department of Pediatric Radiology, Ankara University Medical School, Çocuk Radyoloji Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
| | - Tanıl Kendirli
- Department of Pediatric Intensive Care Unit, Ankara University Medical School, Çocuk Yoğun Bakım Bilim Dalı, Ankara Üniversitesi Tıp Fakültesi Çocuk Sağlığı Ve Hastalıkları A.B.D. Cebeci, Ankara, Turkey
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Di Ieva A. Computational Fractal-Based Analysis of MR Susceptibility-Weighted Imaging (SWI) in Neuro-Oncology and Neurotraumatology. ADVANCES IN NEUROBIOLOGY 2024; 36:445-468. [PMID: 38468047 DOI: 10.1007/978-3-031-47606-8_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
Susceptibility-weighted imaging (SWI) is a magnetic resonance imaging (MRI) technique able to depict the magnetic susceptibility produced by different substances, such as deoxyhemoglobin, calcium, and iron. The main application of SWI in clinical neuroimaging is detecting microbleedings and venous vasculature. Quantitative analyses of SWI have been developed over the last few years, aimed to offer new parameters, which could be used as neuroimaging biomarkers. Each technique has shown pros and cons, but no gold standard exists yet. The fractal dimension (FD) has been investigated as a novel potential objective parameter for monitoring intratumoral space-filling properties of SWI patterns. We showed that SWI patterns found in different tumors or different glioma grades can be represented by a gradient in the fractal dimension, thereby enabling each tumor to be assigned a specific SWI fingerprint. Such results were especially relevant in the differentiation of low-grade versus high-grade gliomas, as well as from high-grade gliomas versus lymphomas.Therefore, FD has been suggested as a potential image biomarker to analyze intrinsic neoplastic architecture in order to improve the differential diagnosis within clinical neuroimaging, determine appropriate therapy, and improve outcome in patients.These promising preliminary findings could be extended into the field of neurotraumatology, by means of the application of computational fractal-based analysis for the qualitative and quantitative imaging of microbleedings in traumatic brain injury patients. In consideration of some evidences showing that SWI signals are correlated with trauma clinical severity, FD might offer some objective prognostic biomarkers.In conclusion, fractal-based morphometrics of SWI could be further investigated to be used in a complementary way with other techniques, in order to form a holistic understanding of the temporal evolution of brain tumors and follow-up response to treatment, with several further applications in other fields, such as neurotraumatology and cerebrovascular neurosurgery as well.
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Affiliation(s)
- Antonio Di Ieva
- Computational NeuroSurgery (CNS) Lab & Macquarie Neurosurgery, Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia.
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Mankad K, Sidpra J, Mirsky DM, Oates AJ, Colleran GC, Lucato LT, Kan E, Kilborn T, Agrawal N, Teeuw AH, Kelly P, Zeitlin D, Carter J, Debelle GD, Berger RP, Christian CW, Lindberg DM, Raissaki M, Argyropoulou M, Adamsbaum C, Cain T, van Rijn RR, Silvera VM, Rossi A, Kemp AM, Choudhary AK, Offiah AC. International Consensus Statement on the Radiological Screening of Contact Children in the Context of Suspected Child Physical Abuse. JAMA Pediatr 2023; 177:526-533. [PMID: 36877504 DOI: 10.1001/jamapediatrics.2022.6184] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
Importance Physical abuse is a common but preventable cause of long-term childhood morbidity and mortality. Despite the strong association between abuse in an index child and abuse in contact children, there is no guidance outlining how to screen the latter, significantly more vulnerable group, for abusive injuries. Consequently, the radiological assessment of contact children is often omitted, or variably performed, allowing occult injuries to go undetected and increasing the risk of further abuse. Objective To report an evidence-based and consensus-derived set of best practices for the radiological screening of contact children in the context of suspected child physical abuse. Evidence Review This consensus statement is supported by a systematic review of the literature and the clinical opinion of an internationally recognized group of 26 experts. The modified Delphi consensus process comprised 3 meetings of the International Consensus Group on Contact Screening in Suspected Child Physical Abuse held between February and June 2021. Findings Contacts are defined as the asymptomatic siblings, cohabiting children, or children under the same care as an index child with suspected child physical abuse. All contact children should undergo a thorough physical examination and a history elicited prior to imaging. Contact children younger than 12 months should have neuroimaging, the preferred modality for which is magnetic resonance imaging, and skeletal survey. Contact children aged 12 to 24 months should undergo skeletal survey. No routine imaging is indicated in asymptomatic children older than 24 months. Follow-up skeletal survey with limited views should be performed if abnormal or equivocal at presentation. Contacts with positive findings should be investigated as an index child. Conclusions and Relevance This Special Communication reports consensus recommendations for the radiological screening of contact children in the context of suspected child physical abuse, establishing a recognized baseline for the stringent evaluation of these at-risk children and providing clinicians with a more resilient platform from which to advocate for them.
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Affiliation(s)
- Kshitij Mankad
- Department of Neuroradiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
- Developmental Biology and Cancer Section, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Jai Sidpra
- Department of Neuroradiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
- Developmental Biology and Cancer Section, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - David M Mirsky
- Department of Radiology, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora
| | - Adam J Oates
- Department of Radiology, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Gabrielle C Colleran
- Department Radiology, Children's Health Ireland and The National Maternity Hospital, Dublin, Ireland
| | - Leandro T Lucato
- Department of Radiology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil
| | - Elaine Kan
- Department of Radiology, Hong Kong Children's Hospital, Hong Kong
| | - Tracy Kilborn
- Department of Radiology, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
| | - Nina Agrawal
- City University of New York Graduate School of Public Health and Health Policy, New York
| | - Arianne H Teeuw
- Department of Pediatrics, Emma Children's Hospital-Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Patrick Kelly
- Te Puaruruhau, Starship Children's Health, Auckland, New Zealand
- Department of Pediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Deborah Zeitlin
- Department of Pediatrics, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Jamieson Carter
- Department of Pediatrics, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Geoff D Debelle
- Department of Pediatrics, Birmingham Children's Hospital, Birmingham, United Kingdom
| | - Rachel P Berger
- Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Cindy W Christian
- Department of Pediatrics, The Children's Hospital of Philadelphia, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Daniel M Lindberg
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora
| | - Maria Raissaki
- Department of Radiology and Imaging, University Hospital of Heraklion, Medical School, University of Crete, Rethymno, Greece
| | - Maria Argyropoulou
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Catherine Adamsbaum
- Paris Saclay University, Faculty of Medicine, AP-HP, Bicêtre Hospital, Department of Paediatric Radiology, Le Kremlin Bicêtre, France
| | - Timothy Cain
- Department of Medical Imaging, Royal Children's Hospital Melbourne, Parkville, Australia
| | - Rick R van Rijn
- Department of Radiology and Nuclear Medicine, Emma Children's Hospital-Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Forensic Medicine, Netherlands Forensic Institute, The Hague, the Netherlands
| | | | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Alison M Kemp
- Division of Population Medicine, Department of Child Health, University of Cardiff, Cardiff, United Kingdom
| | - Arabinda K Choudhary
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock
| | - Amaka C Offiah
- Department of Radiology, Sheffield Children's Hospital NHS Foundation Trust, Sheffield, United Kingdom
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom
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5
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Roche S, Crombé A, Benhamed A, Hak JF, Dabadie A, Fauconnier-Fatus C, Rega A, Pech-Gourg G, Tazarourte K, Seux M, Acquier A, Gorincour G. Risk Factors Associated with Traumatic Brain Injury and Implementation of Guidelines for Requesting Computed Tomography After Head Trauma Among Children in France. JAMA Netw Open 2023; 6:e2311092. [PMID: 37129895 PMCID: PMC10155067 DOI: 10.1001/jamanetworkopen.2023.11092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/03/2023] Open
Abstract
Importance Pediatric traumatic brain injuries (TBIs) are a leading cause of death and disability. The Pediatric Emergency Care Applied Research Network (PECARN) guidelines provide a framework for requesting head computed tomography (HCT) after pediatric head trauma (PHT); however, quantitative data are lacking regarding both TBIs found on HCT and justification of the HCT request according to the PECARN guidelines. Objectives To evaluate the types, frequencies, and risk factors for TBIs on HCT in children referred to emergency departments (EDs) who underwent HCT for PHT and to evaluate quality of HCT request. Design, Setting, and Participants This multicenter, retrospective cohort study included patients younger than 18 years who underwent HCT for PHT who were referred to 91 EDs during on-call hours between January 1, 2020, to May 31, 2022. Data were analyzed between July and August 2022. Exposure All radiological reports with pathologic findings were reviewed by 4 senior radiologists. Six hundred HCT requests filled by emergency physicians were randomly sampled to review the examination justification according to the PECARN guidelines. Main Outcomes and Measures Associations between TBIs, age, sex, and Glasgow Coma Scale (GCS) were investigated using univariable χ2 and Cochrane-Armitage tests. Multivariable stepwise binary logistic regressions were used to estimate the odds ratio (ORs) for intracranial hemorrhages (ICH), any type of fracture, facial bone fracture, and skull vault fracture. Results Overall, 5146 children with HCT for PHT were included (median [IQR] age, 11.2 [4.7-15.7] years; 3245 of 5146 [63.1%] boys). ICHs were diagnosed in 306 of 5146 patients (5.9%) and fractures in 674 of 5146 patients (13.1%). The following variables were associated with ICH in multivariable analysis: GCS score of 8 or less (OR, 5.83; 95% CI, 1.97-14.60; P < .001), extracranial hematoma (OR, 2.54; 95% CI, 1.59-4.02; P < .001), skull base fracture (OR, 9.32; 95% CI, 5.03-16.97; P < .001), upper cervical fracture (OR, 19.21; 95% CI, 1.79-143.59; P = .006), and skull vault fracture (OR, 35.64; 95% CI, 24.04-53.83; P < .001). When neither extracranial hematoma nor fracture was found on HCT, the OR for presenting ICH was 0.034 (95% CI, 0.026-0.045; P < .001). Skull vault fractures were more frequently encountered in children younger than 2 years (multivariable OR, 6.31; 95% CI, 4.16-9.66; P < .001; reference: children ≥12 years), whereas facial bone fractures were more frequently encountered in boys older than 12 years (multivariable OR, 26.60; 95% CI, 9.72-109.96; P < .001; reference: children younger than 2 years). The justification for performing HCT did not follow the PECARN guidelines for 396 of 589 evaluable children (67.2%) for requests filled by emergency physicians. Conclusion and Relevance In this cohort study of 5146 children who underwent HCT for PHT, knowing the odds of clinical and radiological features for ICHs and fractures could help emergency physicians and radiologists improve their image analysis and avoid missing significant injuries. The PECARN rules were not implemented in nearly two-thirds of patients.
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Affiliation(s)
| | - Amandine Crombé
- IMADIS, Lyon, Bordeaux, Marseille, Dijon, France
- Department of Radiology, Pellegrin University Hospital, Bordeaux, France
- Models in Oncology (MONC) Team, INRIA Bordeaux Sud-Ouest, CNRS UMR 5251 & Bordeaux University, Talence, France
| | - Axel Benhamed
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, Lyon, France
| | - Jean-François Hak
- Assistance Publique-Hôpitaux de Marseille, Marseille, France
- LIIE, Aix Marseille University, Marseille, France
- CERIMED, Aix Marseille University, Marseille, France
| | - Alexia Dabadie
- IMADIS, Lyon, Bordeaux, Marseille, Dijon, France
- Assistance Publique-Hôpitaux de Marseille, Marseille, France
| | | | | | | | - Karim Tazarourte
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, Lyon, France
| | - Mylène Seux
- IMADIS, Lyon, Bordeaux, Marseille, Dijon, France
| | - Adrien Acquier
- IMADIS, Lyon, Bordeaux, Marseille, Dijon, France
- CHU de Dijon, Dijon, France
| | - Guillaume Gorincour
- IMADIS, Lyon, Bordeaux, Marseille, Dijon, France
- ELSAN, Clinique Bouchard, Marseille, France
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6
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Kooper CC, Oosterlaan J, Bruining H, Engelen M, Pouwels PJW, Popma A, van Woensel JBM, Buis DR, Steenweg ME, Hunfeld M, Königs M. Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol. BMJ Open 2022; 12:e058975. [PMID: 35768114 PMCID: PMC9244717 DOI: 10.1136/bmjopen-2021-058975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 06/16/2022] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Traumatic brain injury (TBI) in children can be associated with poor outcome in crucial functional domains, including motor, neurocognitive and behavioural functioning. However, outcome varies between patients and is mediated by complex interplay between demographic factors, premorbid functioning and (sub)acute clinical characteristics. At present, methods to understand let alone predict outcome on the basis of these variables are lacking, which contributes to unnecessary follow-up as well as undetected impairments in children. Therefore, this study aims to develop prognostic models for the individual outcome of children with TBI in a range of important developmental domains. In addition, the potential added value of advanced neuroimaging data and the use of machine learning algorithms in the development of prognostic models will be assessed. METHODS AND ANALYSIS 210 children aged 4-18 years diagnosed with mild-to-severe TBI will be prospectively recruited from a research network of Dutch hospitals. They will be matched 2:1 to a control group of neurologically healthy children (n=105). Predictors in the model will include demographic, premorbid and clinical measures prospectively registered from the TBI hospital admission onwards as well as MRI metrics assessed at 1 month post-injury. Outcome measures of the prognostic models are (1) motor functioning, (2) intelligence, (3) behavioural functioning and (4) school performance, all assessed at 6 months post-injury. ETHICS AND DISSEMINATION Ethics has been obtained from the Medical Ethical Board of the Amsterdam UMC (location AMC). Findings of our multicentre prospective study will enable clinicians to identify TBI children at risk and aim towards a personalised prognosis. Lastly, findings will be submitted for publication in open access, international and peer-reviewed journals. TRIAL REGISTRATION NUMBER NL71283.018.19 and NL9051.
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Affiliation(s)
- Cece C Kooper
- Department of Pediatrics, Emma Neuroscience Group, Emma Children's Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Amsterdam Neuroscience Research Institute, Amsterdam, The Netherlands
| | - Jaap Oosterlaan
- Department of Pediatrics, Emma Neuroscience Group, Emma Children's Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Hilgo Bruining
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Amsterdam Neuroscience Research Institute, Amsterdam, The Netherlands
- Department of Child and Youth Psychiatry, Emma Children's Hospital, Amsterdam UMC location Vrije Universiteit Amsterdam, N=You centre, Amsterdam, Netherlands
| | - Marc Engelen
- Department of Pediatric Neurology, Emma Children's Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Leukodystrophy Center, Amsterdam, The Netherlands
| | - Petra J W Pouwels
- Amsterdam Neuroscience Research Institute, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Arne Popma
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Department of Child and Youth Psychiatry, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Job B M van Woensel
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Department of Pediatric Intensive Care Unit, Emma Children's Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Dennis R Buis
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Department of Neurosurgery, Emma Children's Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | | | - Maayke Hunfeld
- Department of Pediatric Neurology, Erasmus MC Sophia Children Hospital, Rotterdam, The Netherlands
| | - Marsh Königs
- Department of Pediatrics, Emma Neuroscience Group, Emma Children's Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
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7
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Hansen C, Waller LC, Brady D, Teramoto M. Relationship Between CT Head Findings and Long-term Recovery in Children with Complicated Mild Traumatic Brain Injury. Brain Inj 2022; 36:77-86. [PMID: 35129405 DOI: 10.1080/02699052.2022.2034947] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
PRIMARY OBJECTIVE Complicated mild traumatic brain injury (C-mTBI) refers to CT positive patients with clinically mild TBI. This study investigates the association between CT head findings at time of injury and recovery of paediatric patients with C-mTBI. RESEARCH DESIGN Retrospective survey and chart review. METHODS For paediatric patients with C-mTBI (N = 77), CT findings associated with corresponding degree and lengths of recovery from C-mTBI using logistic regression analysis. RESULTS There was a trend that the odds of incomplete recovery at the time of survey was higher for older children than for younger children (OR = 1.14, 95% CI = 0.98-1.32, p = 0.072). There was a trend that the odds of incomplete recovery (OR = 6.26, 95% CI = 0.97-40.57, p = 0.054) and longer duration for recovery (OR = 8.14, 95% CI = 0.78-84.46, p = 0.079) was higher for children with multiple haemorrhagic contusions than those with single haemorrhagic contusion. No other imaging patterns predicted degree or length of recovery with statistical significance (p > 0.05). CONCLUSIONS Other than the presence of multiple haemorrhagic contusions, no other pattern of imaging abnormality in paediatric C-mTBI appears to be associated with degree or length of recovery. Further studies with larger cohorts are encouraged.
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Affiliation(s)
- Colby Hansen
- Department of Physical Medicine & Rehabilitation, University of Utah, Salt Lake City, Utah, USA
| | - Laura C Waller
- Department of Rehabilitation Medicine, Essentia Health, Duluth, Minnesota, USA
| | - Dalton Brady
- Department of Physical Medicine & Rehabilitation, University of Utah, Salt Lake City, Utah, USA
| | - Masaru Teramoto
- Department of Physical Medicine & Rehabilitation, University of Utah, Salt Lake City, Utah, USA
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Kabakus IM, Spampinato MV, Knipfing M, Cervantes G, Patel A, Eskandari R, Yazdani M. Fast Brain Magnetic Resonance Imaging With Half-Fourier Acquisition With Single-Shot Turbo Spin Echo Sequence in Detection of Intracranial Hemorrhage and Skull Fracture in General Pediatric Patients: Preliminary Results. Pediatr Emerg Care 2021; 37:e1168-e1172. [PMID: 31804431 DOI: 10.1097/pec.0000000000001949] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE The objective of this study was to determine the accuracy of fast brain magnetic resonance imaging (MRI) in the detection of intra- and extra-axial intracranial hemorrhage compared with standard-of-care computed tomography (CT) or MRI in pediatric patients. Unlike previous studies, we did not focus exclusively on patients with head trauma. We evaluated the fast brain MRI findings in a general pediatric population referred for indications other than evaluation of ventricular size. METHODS We retrospectively reviewed 48 pediatric patients with indications other than hydrocephalus and shunt follow-up, who underwent a standard head CT or standard MRI within 15 days of the fast brain MRI. All fast brain MRI scans included half-Fourier acquisition with single-shot turbo spin echo (HASTE) sequences in the axial, coronal, and sagittal plane. Two neuroradiologists blinded to patient information and study indications reviewed the fast brain MRI studies independently and then concurrently. RESULTS A total of 48 patients met the inclusion and exclusion criteria. The median and mean time interval between the standard and fast imaging were 2 and 3.9 days, respectively. The sensitivity and specificity of fast brain MRI to detect intraparenchymal hemorrhage were 100% and 97%, respectively. The sensitivity and specificity of fast brain MRI in the detection of extra-axial hemorrhage (subdural and/or epidural) were 86% and 96%, respectively. The sensitivity and specificity of fast brain MRI were, respectively, 10% and 100% for subarachnoid hemorrhage, 50% and 100% for intraventricular hemorrhage, and 47% and 97% for skull fracture, respectively. CONCLUSIONS Our results show that fast brain MRI with HASTE sequence is as sensitive as CT and standard MRI in the detection of intra-axial hemorrhage and has moderate sensitivity in the detection of extra-axial hemorrhage. Our preliminary results show that T2-weighted HASTE imaging may be suitable for the follow-up of intraparenchymal and extra-axial (subdural and/or epidural) hemorrhages.
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Affiliation(s)
| | | | | | | | | | - Ramin Eskandari
- Neurosurgery, Medical University of South Carolina, Charleston, SC
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9
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McInnis C, Garcia MJS, Widjaja E, Frndova H, Huyse JV, Guerguerian AM, Oyefiade A, Laughlin S, Raybaud C, Miller E, Tay K, Bigler ED, Dennis M, Fraser DD, Campbell C, Choong K, Dhanani S, Lacroix J, Farrell C, Beauchamp MH, Schachar R, Hutchison JS, Wheeler AL. Magnetic Resonance Imaging Findings Are Associated with Long-Term Global Neurological Function or Death after Traumatic Brain Injury in Critically Ill Children. J Neurotrauma 2021; 38:2407-2418. [PMID: 33787327 DOI: 10.1089/neu.2020.7514] [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: 11/12/2022] Open
Abstract
The identification of children with traumatic brain injury (TBI) who are at risk of death or poor global neurological functional outcome remains a challenge. Magnetic resonance imaging (MRI) can detect several brain pathologies that are a result of TBI; however, the types and locations of pathology that are the most predictive remain to be determined. Forty-two critically ill children with TBI were recruited prospectively from pediatric intensive care units at five Canadian children's hospitals. Pathologies detected on subacute phase MRIs included cerebral hematoma, herniation, cerebral laceration, cerebral edema, midline shift, and the presence and location of cerebral contusion or diffuse axonal injury (DAI) in 28 regions of interest were assessed. Global functional outcome or death more than 12 months post-injury was assessed using the Pediatric Cerebral Performance Category score. Linear modeling was employed to evaluate the utility of an MRI composite score for predicting long-term global neurological function or death after injury, and nonlinear Random Forest modeling was used to identify which MRI features have the most predictive utility. A linear predictive model of favorable versus unfavorable long-term outcomes was significantly improved when an MRI composite score was added to clinical variables. Nonlinear Random Forest modeling identified five MRI variables as stable predictors of poor outcomes: presence of herniation, DAI in the parietal lobe, DAI in the subcortical white matter, DAI in the posterior corpus callosum, and cerebral contusion in the anterior temporal lobe. Clinical MRI has prognostic value to identify children with TBI at risk of long-term unfavorable outcomes.
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Affiliation(s)
- Carter McInnis
- Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
| | - María José Solana Garcia
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Elysa Widjaja
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Neuroradiology, Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Helena Frndova
- Department of Critical Care Medicine, and Hospital for Sick Children, Toronto, Ontario, Canada
| | - Judith Van Huyse
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Anne-Marie Guerguerian
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Critical Care Medicine, and Hospital for Sick Children, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada
| | - Adeoye Oyefiade
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Hematology/Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Suzanne Laughlin
- Division of Neuroradiology, Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Imaging, and Department of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Charles Raybaud
- Division of Neuroradiology, Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Elka Miller
- Department of Medical Imaging, and Department of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Keng Tay
- Department of Radiology, London Health Sciences Centre, London, Ontario, Canada
| | - Erin D Bigler
- Department of Psychological Science and Neuroscience Centre, Brigham Young University, Provo, Utah, USA
| | - Maureen Dennis
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Hematology/Oncology, University of Toronto, Toronto, Ontario, Canada
- Department of Surgery, and University of Toronto, Toronto, Ontario, Canada
| | - Douglas D Fraser
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Schulich School of Medicine University of Western Ontario, Children's Hospital of the London Health Sciences Centre and the Lawson Research Institute, London, Ontario, Canada
| | - Craig Campbell
- Division of Neurology, Children's Hospital of the London Health Sciences Centre and Department of Pediatrics, Epidemiology and Clinical Neurological Sciences, Schulich School of Medicine, University of Western Ontario, London, Ontario, Canada
| | - Karen Choong
- Division of Pediatric Intensive Care, Department of Pediatrics, McMaster Children's Hospital-Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Sonny Dhanani
- Division of Pediatric Intensive Care, Department of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Jacques Lacroix
- Division of Pediatric Critical Care, CHU Sainte-Justine, Université de Montréal and Centre de Recherche du CHU Sainte-Justine, Montreal, Quebec, Canada
| | - Catherine Farrell
- Division of Pediatric Critical Care, CHU Sainte-Justine, Université de Montréal and Centre de Recherche du CHU Sainte-Justine, Montreal, Quebec, Canada
| | - Miriam H Beauchamp
- Division of Pediatric Critical Care, CHU Sainte-Justine, Université de Montréal and Centre de Recherche du CHU Sainte-Justine, Montreal, Quebec, Canada
- Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Russell Schachar
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Psychiatry, Hospital for Sick Children, Toronto, Ontario, Canada
| | - James S Hutchison
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Critical Care Medicine, and Hospital for Sick Children, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada
| | - Anne L Wheeler
- Neuroscience and Mental Health Research Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
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10
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Janas AM, Qin F, Hamilton S, Jiang B, Baier N, Wintermark M, Threlkeld Z, Lee S. Diffuse Axonal Injury Grade on Early MRI is Associated with Worse Outcome in Children with Moderate-Severe Traumatic Brain Injury. Neurocrit Care 2021; 36:492-503. [PMID: 34462880 PMCID: PMC8405042 DOI: 10.1007/s12028-021-01336-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 08/16/2021] [Indexed: 01/15/2023]
Abstract
Background Traumatic brain injury (TBI) is the leading cause of death and disability in children, but effective tools for predicting outcome remain elusive. Although many pediatric patients receive early magnetic resonance imaging (MRI), data on its utility in prognostication are lacking. Diffuse axonal injury (DAI) is a hallmark of TBI detected on early MRI and was shown previously to improve prognostication in adult patients with TBI. In this exploratory study, we investigated whether DAI grade correlates with functional outcome and improves prognostic accuracy when combined with core clinical variables and computed tomography (CT) biomarkers in pediatric patients with moderate-severe TBI (msTBI). Methods Pediatric patients (≤ 19 years) who were admitted to two regional level one trauma centers with a diagnosis of msTBI (Glasgow Coma Scale [GCS] score < 13) between 2011 and 2019 were identified through retrospective chart review. Patients who underwent brain MRI within 30 days of injury and had documented clinical follow-up after discharge were included. Age, pupil reactivity, and initial motor GCS score were collected as part of the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) model. Imaging was reviewed to calculate the Rotterdam score (CT) and DAI grade (MRI) and to evaluate for presence of hypoxic-ischemic injury (MRI). The primary outcome measure was the Pediatric Cerebral Performance Category Scale (PCPCS) score at 6 months after TBI, with favorable outcome defined as PCPCS scores 1–3 and unfavorable outcome defined as PCPCS scores 4–6. The secondary outcome measure was discharge disposition to home versus to an inpatient rehabilitation facility. Result Of 55 patients included in the study, 45 (82%) had severe TBI. The most common mechanism of injury was motor vehicle collision (71%). Initial head CT scans showed acute hemorrhage in 84% of patients. MRI was acquired a median of 5 days after injury, and hemorrhagic DAI lesions were detected in 87% of patients. Each 1-point increase in DAI grade increased the odds of unfavorable functional outcome by 2.4-fold. When controlling for core IMPACT clinical variables, neither the DAI grade nor the Rotterdam score was independently correlated with outcome and neither significantly improved outcome prediction over the IMPACT model alone. Conclusions A higher DAI grade on early MRI is associated with worse 6-month functional outcome and with discharge to inpatient rehabilitation in children with acute msTBI in a univariate analysis but does not independently correlate with outcome when controlling for the GCS score. Addition of the DAI grade to the core IMPACT model does not significantly improve prediction of poor neurological outcome. Further study is needed to elucidate the utility of early MRI in children with msTBI. Supplementary Information The online version contains supplementary material available at 10.1007/s12028-021-01336-8.
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Affiliation(s)
- Anna M Janas
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. .,Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - FeiFei Qin
- Quantitative Science Unit, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Scott Hamilton
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Bin Jiang
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Nicole Baier
- Department of Pediatrics, Santa Clara Valley Medical Center, San Jose, CA, USA
| | - Max Wintermark
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Zachary Threlkeld
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Sarah Lee
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
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11
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Baker TL, Agoston DV, Brady RD, Major B, McDonald SJ, Mychasiuk R, Wright DK, Yamakawa GR, Sun M, Shultz SR. Targeting the Cerebrovascular System: Next-Generation Biomarkers and Treatment for Mild Traumatic Brain Injury. Neuroscientist 2021; 28:594-612. [PMID: 33966527 DOI: 10.1177/10738584211012264] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The diagnosis, prognosis, and treatment of mild traumatic brain injuries (mTBIs), such as concussions, are significant unmet medical issues. The kinetic forces that occur in mTBI adversely affect the cerebral vasculature, making cerebrovascular injury (CVI) a pathophysiological hallmark of mTBI. Given the importance of a healthy cerebrovascular system in overall brain function, CVI is likely to contribute to neurological dysfunction after mTBI. As such, CVI and related pathomechanisms may provide objective biomarkers and therapeutic targets to improve the clinical management and outcomes of mTBI. Despite this potential, until recently, few studies have focused on the cerebral vasculature in this context. This article will begin by providing a brief overview of the cerebrovascular system followed by a review of the literature regarding how mTBI can affect the integrity and function of the cerebrovascular system, and how this may ultimately contribute to neurological dysfunction and neurodegenerative conditions. We then discuss promising avenues of research related to mTBI biomarkers and interventions that target CVI, and conclude that a clinical approach that takes CVI into account could result in substantial improvements in the care and outcomes of patients with mTBI.
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Affiliation(s)
- Tamara L Baker
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
| | - Denes V Agoston
- Department of Anatomy, Physiology, and Genetics, Uniformed Services University, Bethesda, MD, USA
| | - Rhys D Brady
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, The University of Melbourne, Parkville, Victoria, Australia
| | - Brendan Major
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
| | - Stuart J McDonald
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia.,Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, Victoria, Australia
| | - Richelle Mychasiuk
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
| | - David K Wright
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
| | - Glenn R Yamakawa
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
| | - Mujun Sun
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, The University of Melbourne, Parkville, Victoria, Australia
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12
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Weber B, Lackner I, Braun CK, Kalbitz M, Huber-Lang M, Pressmar J. Laboratory Markers in the Management of Pediatric Polytrauma: Current Role and Areas of Future Research. Front Pediatr 2021; 9:622753. [PMID: 33816396 PMCID: PMC8010656 DOI: 10.3389/fped.2021.622753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 02/19/2021] [Indexed: 11/13/2022] Open
Abstract
Severe trauma is the most common cause of mortality in children and is associated with a high socioeconomic burden. The most frequently injured organs in children are the head and thorax, followed by the extremities and by abdominal injuries. The efficient and early assessment and management of these injuries is essential to improve patients' outcome. Physical examination as well as imaging techniques like ultrasound, X-ray and computer tomography are crucial for a valid early diagnosis. Furthermore, laboratory analyses constitute additional helpful tools for the detection and monitoring of pediatric injuries. Specific inflammatory markers correlate with post-traumatic complications, including the development of multiple organ failure. Other laboratory parameters, including lactate concentration, coagulation parameters and markers of organ injury, represent further clinical tools to identify trauma-induced disorders. In this review, we outline and evaluate specific biomarkers for inflammation, acid-base balance, blood coagulation and organ damage following pediatric polytrauma. The early use of relevant laboratory markers may assist decision making on imaging tools, thus contributing to minimize radiation-induced long-term consequences, while improving the outcome of children with multiple trauma.
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Affiliation(s)
- Birte Weber
- Department of Traumatology, Hand-, Plastic- and Reconstructive Surgery, Center of Surgery, University of Ulm, Ulm, Germany
| | - Ina Lackner
- Department of Traumatology, Hand-, Plastic- and Reconstructive Surgery, Center of Surgery, University of Ulm, Ulm, Germany
| | - Christian Karl Braun
- Institute of Clinical and Experimental Trauma-Immunology, University Hospital of Ulm, Ulm, Germany.,Department of Pediatrics, University Medical Center Ulm, Ulm, Germany
| | - Miriam Kalbitz
- Department of Traumatology, Hand-, Plastic- and Reconstructive Surgery, Center of Surgery, University of Ulm, Ulm, Germany
| | - Markus Huber-Lang
- Institute of Clinical and Experimental Trauma-Immunology, University Hospital of Ulm, Ulm, Germany
| | - Jochen Pressmar
- Department of Traumatology, Hand-, Plastic- and Reconstructive Surgery, Center of Surgery, University of Ulm, Ulm, Germany
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13
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Wang H, Baker EW, Mandal A, Pidaparti RM, West FD, Kinder HA. Identification of predictive MRI and functional biomarkers in a pediatric piglet traumatic brain injury model. Neural Regen Res 2021; 16:338-344. [PMID: 32859794 PMCID: PMC7896230 DOI: 10.4103/1673-5374.290915] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Traumatic brain injury (TBI) at a young age can lead to the development of long-term functional impairments. Severity of injury is well demonstrated to have a strong influence on the extent of functional impairments; however, identification of specific magnetic resonance imaging (MRI) biomarkers that are most reflective of injury severity and functional prognosis remain elusive. Therefore, the objective of this study was to utilize advanced statistical approaches to identify clinically relevant MRI biomarkers and predict functional outcomes using MRI metrics in a translational large animal piglet TBI model. TBI was induced via controlled cortical impact and multiparametric MRI was performed at 24 hours and 12 weeks post-TBI using T1-weighted, T2-weighted, T2-weighted fluid attenuated inversion recovery, diffusion-weighted imaging, and diffusion tensor imaging. Changes in spatiotemporal gait parameters were also assessed using an automated gait mat at 24 hours and 12 weeks post-TBI. Principal component analysis was performed to determine the MRI metrics and spatiotemporal gait parameters that explain the largest sources of variation within the datasets. We found that linear combinations of lesion size and midline shift acquired using T2-weighted imaging explained most of the variability of the data at both 24 hours and 12 weeks post-TBI. In addition, linear combinations of velocity, cadence, and stride length were found to explain most of the gait data variability at 24 hours and 12 weeks post-TBI. Linear regression analysis was performed to determine if MRI metrics are predictive of changes in gait. We found that both lesion size and midline shift are significantly correlated with decreases in stride and step length. These results from this study provide an important first step at identifying relevant MRI and functional biomarkers that are predictive of functional outcomes in a clinically relevant piglet TBI model. This study was approved by the University of Georgia Institutional Animal Care and Use Committee (AUP: A2015 11-001) on December 22, 2015.
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Affiliation(s)
- Hongzhi Wang
- Department of Statistics, University of Georgia, Athens, GA, USA
| | - Emily W Baker
- Regenerative Bioscience Center; Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA
| | - Abhyuday Mandal
- Department of Statistics, University of Georgia, Athens, GA, USA
| | | | - Franklin D West
- Regenerative Bioscience Center; Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA
| | - Holly A Kinder
- Regenerative Bioscience Center; Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA
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14
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Ryan ME, Pruthi S, Desai NK, Falcone RA, Glenn OA, Joseph MM, Maheshwari M, Marin JR, Mazzola C, Milla SS, Mirsky DM, Myseros JS, Niogi SN, Partap S, Radhakrishnan R, Robertson RL, Soares BP, Udayasankar UK, Whitehead MT, Wright JN, Karmazyn B. ACR Appropriateness Criteria® Head Trauma-Child. J Am Coll Radiol 2020; 17:S125-S137. [PMID: 32370957 DOI: 10.1016/j.jacr.2020.01.026] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 01/22/2020] [Indexed: 12/15/2022]
Abstract
Head trauma is a frequent indication for cranial imaging in children. The majority of accidental pediatric head trauma is minor and sustained without intracranial injury. Well-validated pediatric-specific clinical decision guidelines should be used to identify very low-risk children who can safely forgo imaging. In those who require acute imaging, CT is considered the first-line imaging modality for suspected intracranial injury because of the short duration of the examination and its high sensitivity for acute hemorrhage. MRI can accurately detect traumatic complications, but often necessitates sedation in children, owing to the examination length and motion sensitivity, which limits rapid assessment. There is a paucity of literature regarding vascular injuries in pediatric blunt head trauma and imaging is typically guided by clinical suspicion. Advanced imaging techniques have the potential to identify changes that are not seen by standard imaging, but data are currently insufficient to support routine clinical use. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Maura E Ryan
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.
| | - Sumit Pruthi
- Panel Chair, Vanderbilt Children's Hospital, Nashville, Tennessee
| | | | - Richard A Falcone
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; American Pediatric Surgical Association
| | - Orit A Glenn
- University of California San Francisco, San Francisco, California
| | - Madeline M Joseph
- University of Florida College of Medicine Jacksonville, Jacksonville, Florida; American College of Emergency Physicians
| | | | - Jennifer R Marin
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania; Society for Academic Emergency Medicine
| | - Catherine Mazzola
- Rutgers, New Jersey Medical School, Newark, New Jersey; Neurosurgery expert
| | - Sarah S Milla
- Emory University and Children's Healthcare of Atlanta, Atlanta, Georgia
| | | | - John S Myseros
- Children's National Health System, Washington, District of Columbia; Neurosurgery Expert
| | | | - Sonia Partap
- Stanford University, Stanford, California; American Academy of Pediatrics
| | | | | | - Bruno P Soares
- The University of Vermont Medical Center, Burlington, Vermont
| | | | | | | | - Boaz Karmazyn
- Specialty Chair, Riley Hospital for Children Indiana University, Indianapolis, Indiana
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15
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Relevance of neuroimaging for neurocognitive and behavioral outcome after pediatric traumatic brain injury. Brain Imaging Behav 2018; 12:29-43. [PMID: 28092022 PMCID: PMC5814510 DOI: 10.1007/s11682-017-9673-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
This study aims to (1) investigate the neuropathology of mild to severe pediatric TBI and (2) elucidate the predictive value of conventional and innovative neuroimaging for functional outcome. Children aged 8–14 years with trauma control (TC) injury (n = 27) were compared to children with mild TBI and risk factors for complicated TBI (mildRF+, n = 20) or moderate/severe TBI (n = 17) at 2.8 years post-injury. Neuroimaging measures included: acute computed tomography (CT), volumetric analysis on post-acute conventional T1-weighted magnetic resonance imaging (MRI) and post-acute diffusion tensor imaging (DTI, analyzed using tract-based spatial statistics and voxel-wise regression). Functional outcome was measured using Common Data Elements for neurocognitive and behavioral functioning. The results show that intracranial pathology on acute CT-scans was more prevalent after moderate/severe TBI (65%) than after mildRF+ TBI (35%; p = .035), while both groups had decreased white matter volume on conventional MRI (ps ≤ .029, ds ≥ −0.74). The moderate/severe TBI group further showed decreased fractional anisotropy (FA) in a widespread cluster affecting all white matter tracts, in which regional associations with neurocognitive functioning were observed (FSIQ, Digit Span and RAVLT Encoding) that consistently involved the corpus callosum. FA had superior predictive value for functional outcome (i.e. intelligence, attention and working memory, encoding in verbal memory and internalizing problems) relative to acute CT-scanning (i.e. internalizing problems) and conventional MRI (no predictive value). We conclude that children with mildRF+ TBI and moderate/severe TBI are at risk of persistent white matter abnormality. Furthermore, DTI has superior predictive value for neurocognitive out-come relative to conventional neuroimaging.
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16
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Kirov II, Whitlow CT, Zamora C. Susceptibility-Weighted Imaging and Magnetic Resonance Spectroscopy in Concussion. Neuroimaging Clin N Am 2018; 28:91-105. [DOI: 10.1016/j.nic.2017.09.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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17
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Various Cranial and Orbital Imaging Findings in Pediatric Abusive and Non-abusive Head trauma, and Relation to Outcomes. Clin Neuroradiol 2018; 29:253-261. [DOI: 10.1007/s00062-018-0663-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 01/04/2018] [Indexed: 10/18/2022]
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18
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Dremmen MHG, Wagner MW, Bosemani T, Tekes A, Agostino D, Day E, Soares BP, Huisman TAGM. Does the Addition of a "Black Bone" Sequence to a Fast Multisequence Trauma MR Protocol Allow MRI to Replace CT after Traumatic Brain Injury in Children? AJNR Am J Neuroradiol 2017; 38:2187-2192. [PMID: 28970241 DOI: 10.3174/ajnr.a5405] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 06/10/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Head CT is the current neuroimaging tool of choice in acute evaluation of pediatric head trauma. The potential cancer risks of CT-related ionizing radiation should limit its use in children. We evaluated the role of MR imaging, including a "black bone" sequence, compared with CT in detecting skull fractures and intracranial hemorrhages in children with acute head trauma. MATERIALS AND METHODS We performed a retrospective evaluation of 2D head CT and brain MR imaging studies including the black bone sequence of children with head trauma. Two experienced pediatric neuroradiologists in consensus created the standard of reference. Another pediatric neuroradiologist blinded to the diagnosis evaluated brain MR images and head CT images in 2 separate sessions. The presence of skull fractures and intracranial posttraumatic hemorrhages was evaluated. We calculated the sensitivity and specificity of CT and MR imaging with the black bone sequence in the diagnosis of skull fractures and intracranial hemorrhages. RESULTS Twenty-eight children (24 boys; mean age, 4.89 years; range, 0-15.5 years) with head trauma were included. MR imaging with the black bone sequence revealed lower sensitivity (66.7% versus 100%) and specificity (87.5% versus 100%) in identifying skull fractures. Four of 6 incorrectly interpreted black bone MR imaging studies showed cranial sutures being misinterpreted as skull fractures and vice versa. CONCLUSIONS Our preliminary results show that brain MR imaging complemented by a black bone sequence is a promising nonionizing alternative to head CT for the assessment of skull fractures in children. However, accuracy in the detection of linear fractures in young children and fractures of aerated bone remains limited.
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Affiliation(s)
- M H G Dremmen
- From the Section of Pediatric Neuroradiology (M.H.G.D., M.W.W., T.B., A.T., D.A., E.D., B.P.S., T.A.G.M.H.), Division of Pediatric Radiology and Pediatric Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland
- Division of Pediatric Radiology (M.H.G.D.), Department of Radiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M W Wagner
- From the Section of Pediatric Neuroradiology (M.H.G.D., M.W.W., T.B., A.T., D.A., E.D., B.P.S., T.A.G.M.H.), Division of Pediatric Radiology and Pediatric Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland
- Institute of Diagnostic and Interventional Radiology (M.W.W.), University Hospital Zurich, Zurich, Switzerland
| | - T Bosemani
- From the Section of Pediatric Neuroradiology (M.H.G.D., M.W.W., T.B., A.T., D.A., E.D., B.P.S., T.A.G.M.H.), Division of Pediatric Radiology and Pediatric Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland
| | - A Tekes
- From the Section of Pediatric Neuroradiology (M.H.G.D., M.W.W., T.B., A.T., D.A., E.D., B.P.S., T.A.G.M.H.), Division of Pediatric Radiology and Pediatric Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland
| | - D Agostino
- From the Section of Pediatric Neuroradiology (M.H.G.D., M.W.W., T.B., A.T., D.A., E.D., B.P.S., T.A.G.M.H.), Division of Pediatric Radiology and Pediatric Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland
| | - E Day
- From the Section of Pediatric Neuroradiology (M.H.G.D., M.W.W., T.B., A.T., D.A., E.D., B.P.S., T.A.G.M.H.), Division of Pediatric Radiology and Pediatric Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland
| | - B P Soares
- From the Section of Pediatric Neuroradiology (M.H.G.D., M.W.W., T.B., A.T., D.A., E.D., B.P.S., T.A.G.M.H.), Division of Pediatric Radiology and Pediatric Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland
| | - T A G M Huisman
- From the Section of Pediatric Neuroradiology (M.H.G.D., M.W.W., T.B., A.T., D.A., E.D., B.P.S., T.A.G.M.H.), Division of Pediatric Radiology and Pediatric Neuroradiology, Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland
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Early detection of cerebral microbleeds following traumatic brain injury using MRI in the hyper-acute phase. Neurosci Lett 2017; 655:143-150. [PMID: 28663054 PMCID: PMC5541760 DOI: 10.1016/j.neulet.2017.06.046] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Revised: 06/13/2017] [Accepted: 06/24/2017] [Indexed: 12/12/2022]
Abstract
Traumatic cerebral microbleeds (TCMBS) can be identified using susceptibility weighted imaging in the first few hours after injury. TCMBs are a useful indicator of severity in this time frame. The presence of TCMBs is an early indicator of injury severity following trauma. There is a relationship between decreasing size of TCMBs and recovery.
Background Traumatic brain injury (TBI) is a leading cause of death and disability in people under 45. Advanced imaging techniques to identify injury and classify severity in the first few hours and days following trauma could improve patient stratification and aid clinical decision making. Traumatic cerebral microbleeds (TCMBs), detectable on magnetic resonance susceptibility weighted imaging (SWI), can be used as markers of long-term clinical outcome. However, the relationship between TCMBs and injury severity in the first few hours after injury, and their natural evolution, is unknown. Methods We obtained SWI scans in 10 healthy controls, and 13 patients scanned 3–24 h following TBI and again at 7–15 days. TCMBs were identified and total volume quantified for every lesion in each scan. Results TCMBs were present in 6 patients, all with more severe injury classified by GCS. No lesions were identified in patients with an initial GCS of 15. Improvement in GCS in the first 15 days following injury was significantly associated with a reduction in microbleed volume over the same time-period. Conclusion MRI is feasible in severely injured patients in the first 24 h after trauma. Detection of TCMBs using SWI provides an objective early marker of injury severity following trauma. TCMBs revealed in this time frame, offer the potential to help determine the degree of injury, improving stratification, in order to identify patients who require admission to hospital, transfer to a specialist center, or an extended period of intubation on intensive care.
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Trifan G, Gattu R, Haacke EM, Kou Z, Benson RR. MR imaging findings in mild traumatic brain injury with persistent neurological impairment. Magn Reson Imaging 2017; 37:243-251. [DOI: 10.1016/j.mri.2016.12.009] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Revised: 11/30/2016] [Accepted: 12/05/2016] [Indexed: 11/26/2022]
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Wu X, Kirov II, Gonen O, Ge Y, Grossman RI, Lui YW. MR Imaging Applications in Mild Traumatic Brain Injury: An Imaging Update. Radiology 2016; 279:693-707. [PMID: 27183405 DOI: 10.1148/radiol.16142535] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Mild traumatic brain injury (mTBI), also commonly referred to as concussion, affects millions of Americans annually. Although computed tomography is the first-line imaging technique for all traumatic brain injury, it is incapable of providing long-term prognostic information in mTBI. In the past decade, the amount of research related to magnetic resonance (MR) imaging of mTBI has grown exponentially, partly due to development of novel analytical methods, which are applied to a variety of MR techniques. Here, evidence of subtle brain changes in mTBI as revealed by these techniques, which are not demonstrable by conventional imaging, will be reviewed. These changes can be considered in three main categories of brain structure, function, and metabolism. Macrostructural and microstructural changes have been revealed with three-dimensional MR imaging, susceptibility-weighted imaging, diffusion-weighted imaging, and higher order diffusion imaging. Functional abnormalities have been described with both task-mediated and resting-state blood oxygen level-dependent functional MR imaging. Metabolic changes suggesting neuronal injury have been demonstrated with MR spectroscopy. These findings improve understanding of the true impact of mTBI and its pathogenesis. Further investigation may eventually lead to improved diagnosis, prognosis, and management of this common and costly condition. (©) RSNA, 2016.
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Affiliation(s)
- Xin Wu
- From the Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Ave, 4th Floor, New York, NY 10016
| | - Ivan I Kirov
- From the Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Ave, 4th Floor, New York, NY 10016
| | - Oded Gonen
- From the Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Ave, 4th Floor, New York, NY 10016
| | - Yulin Ge
- From the Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Ave, 4th Floor, New York, NY 10016
| | - Robert I Grossman
- From the Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Ave, 4th Floor, New York, NY 10016
| | - Yvonne W Lui
- From the Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Ave, 4th Floor, New York, NY 10016
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Brain Magnetic Resonance Imaging for Traumatic Brain Injury: Why, When, and How? Top Magn Reson Imaging 2016; 24:225-39. [PMID: 26502305 DOI: 10.1097/rmr.0000000000000061] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Conventional magnetic resonance imaging (MRI) and angiography (MRA) provide invaluable information in the evaluation of patients with all stages and grades of traumatic brain injury (TBI). The information obtained with MRI provides a more complete assessment of the patient's brain injury and possible long-term sequelae.
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Young JY, Duhaime AC, Caruso PA, Rincon SP. Comparison of non-sedated brain MRI and CT for the detection of acute traumatic injury in children 6 years of age or less. Emerg Radiol 2016; 23:325-31. [DOI: 10.1007/s10140-016-1392-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Accepted: 03/18/2016] [Indexed: 11/25/2022]
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Wagner MW, Kontzialis M, Seeburg D, Stern SE, Oshmyansky A, Poretti A, Huisman TA. Acute Brain Imaging in Children: Can MRI Replace CT as a Screening Tool? J Neuroimaging 2015; 26:68-74. [DOI: 10.1111/jon.12310] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Accepted: 09/10/2015] [Indexed: 01/21/2023] Open
Affiliation(s)
- Matthias W. Wagner
- Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
- Department of Diagnostic and Interventional Radiology; University Hospital Zurich; Zurich Switzerland
| | - Marinos Kontzialis
- Division of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Daniel Seeburg
- Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Steven E. Stern
- School of Mathematical Sciences, Faculty of Science and Engineering; Queensland University of Technology; Brisbane QLD Australia
| | - Alexander Oshmyansky
- Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
- School of Mathematical Sciences, Faculty of Science and Engineering; Queensland University of Technology; Brisbane QLD Australia
| | - Andrea Poretti
- Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Thierry A.G.M. Huisman
- Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
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Verma SK, Kan EM, Lu J, Ng KC, Ling EA, Seramani S, Kn BP, Wong YC, Tan MH, Velan SS. Multi-echo susceptibility-weighted imaging and histology of open-field blast-induced traumatic brain injury in a rat model. NMR IN BIOMEDICINE 2015; 28:1069-1077. [PMID: 26152641 DOI: 10.1002/nbm.3351] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Revised: 05/18/2015] [Accepted: 06/03/2015] [Indexed: 06/04/2023]
Abstract
Blast-induced traumatic brain injury is on the rise, predominantly as a result of the use of improvised explosive devices, resulting in undesirable neuropsychological dysfunctions, as demonstrated in both animals and humans. This study investigated the effect of open-field blast injury on the rat brain using multi-echo, susceptibility-weighted imaging (SWI). Multi-echo SWI provided phase maps with better signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), making it a sensitive technique for brain injury. Male Sprague-Dawley rats were subjected to a survivable blast of 180 kPa. The visibility of blood vessels of varying sizes improved with multi-echo SWI. Reduced signal intensity from major vessels post-blast indicates increased deoxyhaemoglobin. Relative cerebral blood flow was computed from filtered phase SWI images using inferred changes in oxygen saturation from major blood vessels. Cerebral blood flow decreased significantly at day 3 and day 5 post-blast compared with that pre-blast. This was substantiated by the upregulation of β-amyloid precursor protein (β-APP), a marker of ischaemia, in the neuronal perikaya of the cerebral cortex, as observed by immunofluorescence, and in the cortical tissue by western blot analysis. Our findings indicate the presence of brain ischaemia in post-blast acute phase of injury with possible recovery subsequently. Our results from cerebrovascular imaging, histology and staining provide an insight into the ischaemic state of the brain post-blast and may be useful for prognosis and outcome.
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Affiliation(s)
- Sanjay Kumar Verma
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, Singapore
| | - Enci Mary Kan
- Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jia Lu
- Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kian Chye Ng
- Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore
| | - Eng Ang Ling
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Sankar Seramani
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, Singapore
| | - Bhanu Prakash Kn
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, Singapore
| | - Yong Chiat Wong
- Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore
| | - Mui Hong Tan
- Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore
| | - S Sendhil Velan
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, Singapore
- Clinical Imaging Research Centre, Agency for Science, Technology and Research, Singapore
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Buttram SDW, Garcia-Filion P, Miller J, Youssfi M, Brown SD, Dalton HJ, Adelson PD. Computed tomography vs magnetic resonance imaging for identifying acute lesions in pediatric traumatic brain injury. Hosp Pediatr 2015; 5:79-84. [PMID: 25646200 DOI: 10.1542/hpeds.2014-0094] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND AND OBJECTIVE Pediatric traumatic brain injury (TBI) is a leading cause of morbidity and mortality in children. Computed tomography (CT) is the modality of choice to screen for brain injuries. MRI may provide more clinically relevant information. The purpose of this study was to compare lesion detection between CT and MRI after TBI. METHODS Retrospective cohort of children (0-21 years) with TBI between 2008 and 2010 at a Level 1 pediatric trauma center with a head CT scan on day of injury and a brain MRI scan within 2 weeks of injury. Agreement between CT and MRI was determined by κ statistic and stratified by injury mechanism. RESULTS One hundred five children were studied. Of these, 78% had mild TBI. The MRI scan was obtained a median of 1 day (interquartile range, 1-2) after CT. Overall, CT and MRI demonstrated poor agreement (κ=-0.083; P=.18). MRI detected a greater number of intraparenchymal lesions (n=36; 34%) compared with CT (n=16; 15%) (P<.001). Among patients with abusive head trauma, MRI detected intraparenchymal lesions in 16 (43%), compared with only 4 (11%) lesions with CT (P=.03). Of 8 subjects with a normal CT scan, 6 out of 8 had abnormal lesions on MRI. CONCLUSIONS Compared with CT, MRI identified significantly more intraparenchymal lesions in pediatric TBI, particularly in children with abusive head trauma. The prognostic value of identification of intraparenchymal lesions by MRI is unknown but warrants additional inquiry. Risks and benefits from early MRI (including sedation, time, and lack of radiation exposure) compared with CT should be weighed by clinicians.
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Affiliation(s)
- Sandra D W Buttram
- Divisions of Critical Care Medicine, Department of Child Health, University of Arizona College of Medicine Phoenix, Phoenix, Arizona
| | - Pamela Garcia-Filion
- Department of Child Health, University of Arizona College of Medicine Phoenix, Phoenix, Arizona Trauma, Phoenix Children's Hospital, Phoenix, Arizona
| | - Jeffrey Miller
- Department of Child Health, University of Arizona College of Medicine Phoenix, Phoenix, Arizona Radiology and
| | - Mostafa Youssfi
- Department of Child Health, University of Arizona College of Medicine Phoenix, Phoenix, Arizona Radiology and
| | - S Danielle Brown
- Division of Neurosurgery, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona; and
| | - Heidi J Dalton
- Divisions of Critical Care Medicine, Department of Child Health, University of Arizona College of Medicine Phoenix, Phoenix, Arizona
| | - P David Adelson
- Department of Child Health, University of Arizona College of Medicine Phoenix, Phoenix, Arizona Division of Neurosurgery, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona; and
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Lichte P, Andruszkow H, Kappe M, Horst K, Pishnamaz M, Hildebrand F, Lefering R, Pape HC, Kobbe P. Increased in-hospital mortality following severe head injury in young children: results from a nationwide trauma registry. Eur J Med Res 2015; 20:65. [PMID: 26272597 PMCID: PMC4536600 DOI: 10.1186/s40001-015-0159-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 08/05/2015] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND In the current literature, the outcome of paediatric brain injury is controversially discussed. According to the majority of the studies, there seems to be a decreased mortality but worse recovery in paediatric, traumatic brain injury in comparison with adults. However, there is a lack of information concerning the differences in various stages of development in patients younger than 18 years. The aim of our study was to verify the in-hospital outcome of different paediatric age groups in comparison to adults with respect to the treatment strategy. METHODS We performed a retrospective analysis of the TraumaRegister DGU(®) from 2002 to 2012. Inclusion criteria were an Abbreviated Injury Scale (AIS) head ≥3 points and an AIS ≤2 points of the remaining body regions. The collective was divided into different subgroups according to age (1-3, 4-6, 7-10, 11-14, 15-17) and an adult control group aged between 18 and 55 years. We descriptively analysed the endpoint rate of sepsis, multiple organ failure, and mortality. Additionally, the Glasgow Outcome Scale (GOS) at discharge was observed. RESULTS Overall, 1110 children and 6491 adult control patients were included. Comparing the rate of intubation on-scene, the rate of cranial CT scans, the rate of craniotomies, and the rate and length of intensive care treatment, we could only identify minor differences between the age groups. The treatment after discharge from hospital was markedly different due to a very low rate of in-patient rehabilitation treatment in children. On one hand, the rate of systemic complications, such as sepsis and multiple organ failure increased with increasing age. On the other hand, we found a significantly increased mortality in children younger than 7 years after very (AIS head = 5) severe brain injury. The in-hospital functional outcome in survivors, according to the GOS, was beneficial for younger children in comparison to adolescents and adults. CONCLUSIONS We were unable to identify marked age-related differences in the therapeutic approach. Nevertheless, we were able to demonstrate marked differences of outcome. Children younger than 7 years significantly die more often due to direct impact of severe trauma. But if they survive, they seem to develop less systemic complications and profit from a better functional outcome.
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Affiliation(s)
- Philipp Lichte
- Department of Orthopaedic Trauma Surgery, University Hospital Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Hagen Andruszkow
- Department of Orthopaedic Trauma Surgery, University Hospital Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Miriam Kappe
- Department of Orthopaedic Trauma Surgery, University Hospital Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Klemens Horst
- Department of Orthopaedic Trauma Surgery, University Hospital Aachen, Pauwelsstraße 30, 52074, Aachen, Germany. .,Harald Tscherne Research Laboratory for Orthopedic Trauma, Department of Orthopaedic Trauma Surgery, University Hospital RWTH Aachen, Aachen, Germany.
| | - Miguel Pishnamaz
- Department of Orthopaedic Trauma Surgery, University Hospital Aachen, Pauwelsstraße 30, 52074, Aachen, Germany. .,Harald Tscherne Research Laboratory for Orthopedic Trauma, Department of Orthopaedic Trauma Surgery, University Hospital RWTH Aachen, Aachen, Germany.
| | - Frank Hildebrand
- Department of Orthopaedic Trauma Surgery, University Hospital Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Rolf Lefering
- Institute for Research in Operative Medicine (IFOM), University of Witten/Herdecke, Ostmerheimer Str. 200, 51109, Cologne, Germany.
| | - Hans-Christoph Pape
- Department of Orthopaedic Trauma Surgery, University Hospital Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Philipp Kobbe
- Department of Orthopaedic Trauma Surgery, University Hospital Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
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Di Ieva A, Lam T, Alcaide-Leon P, Bharatha A, Montanera W, Cusimano MD. Magnetic resonance susceptibility weighted imaging in neurosurgery: current applications and future perspectives. J Neurosurg 2015. [PMID: 26207600 DOI: 10.3171/2015.1.jns142349] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Susceptibility weighted imaging (SWI) is a relatively new imaging technique. Its high sensitivity to hemorrhagic components and ability to depict microvasculature by means of susceptibility effects within the veins allow for the accurate detection, grading, and monitoring of brain tumors. This imaging modality can also detect changes in blood flow to monitor stroke recovery and reveal specific subtypes of vascular malformations. In addition, small punctate lesions can be demonstrated with SWI, suggesting diffuse axonal injury, and the location of these lesions can help predict neurological outcome in patients. This imaging technique is also beneficial for applications in functional neurosurgery given its ability to clearly depict and differentiate deep midbrain nuclei and close submillimeter veins, both of which are necessary for presurgical planning of deep brain stimulation. By exploiting the magnetic susceptibilities of substances within the body, such as deoxyhemoglobin, calcium, and iron, SWI can clearly visualize the vasculature and hemorrhagic components even without the use of contrast agents. The high sensitivity of SWI relative to other imaging techniques in showing tumor vasculature and microhemorrhages suggests that it is an effective imaging modality that provides additional information not shown using conventional MRI. Despite SWI's clinical advantages, its implementation in MRI protocols is still far from consistent in clinical usage. To develop a deeper appreciation for SWI, the authors here review the clinical applications in 4 major fields of neurosurgery: neurooncology, vascular neurosurgery, neurotraumatology, and functional neurosurgery. Finally, they address the limitations of and future perspectives on SWI in neurosurgery.
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Affiliation(s)
| | - Timothy Lam
- Division of Neurosurgery, Department of Surgery; and
| | - Paula Alcaide-Leon
- Division of Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Aditya Bharatha
- Division of Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
| | - Walter Montanera
- Division of Neuroradiology, Department of Radiology, St. Michael's Hospital, University of Toronto, Ontario, Canada
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Smitherman E, Hernandez A, Stavinoha PL, Huang R, Kernie SG, Diaz-Arrastia R, Miles DK. Predicting Outcome after Pediatric Traumatic Brain Injury by Early Magnetic Resonance Imaging Lesion Location and Volume. J Neurotrauma 2015; 33:35-48. [PMID: 25808802 DOI: 10.1089/neu.2014.3801] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Brain lesions after traumatic brain injury (TBI) are heterogeneous, rendering outcome prognostication difficult. The aim of this study is to investigate whether early magnetic resonance imaging (MRI) of lesion location and lesion volume within discrete brain anatomical zones can accurately predict long-term neurological outcome in children post-TBI. Fluid-attenuated inversion recovery (FLAIR) MRI hyperintense lesions in 63 children obtained 6.2±5.6 days postinjury were correlated with the Glasgow Outcome Scale Extended-Pediatrics (GOS-E Peds) score at 13.5±8.6 months. FLAIR lesion volume was expressed as hyperintensity lesion volume index (HLVI)=(hyperintensity lesion volume / whole brain volume)×100 measured within three brain zones: zone A (cortical structures); zone B (basal ganglia, corpus callosum, internal capsule, and thalamus); and zone C (brainstem). HLVI-total and HLVI-zone C predicted good and poor outcome groups (p<0.05). GOS-E Peds correlated with HLVI-total (r=0.39; p=0.002) and HLVI in all three zones: zone A (r=0.31; p<0.02); zone B (r=0.35; p=0.004); and zone C (r=0.37; p=0.003). In adolescents ages 13-17 years, HLVI-total correlated best with outcome (r=0.5; p=0.007), whereas in younger children under the age of 13, HLVI-zone B correlated best (r=0.52; p=0.001). Compared to patients with lesions in zone A alone or in zones A and B, patients with lesions in all three zones had a significantly higher odds ratio (4.38; 95% confidence interval, 1.19-16.0) for developing an unfavorable outcome.
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Affiliation(s)
- Emily Smitherman
- 1 University of Texas Southwestern Medical Center, University of Texas Southwestern Medical Center , Dallas, Texas
| | - Ana Hernandez
- 2 Department of Neuropsychology, Children's Medical Center , Dallas, Texas
| | - Peter L Stavinoha
- 2 Department of Neuropsychology, Children's Medical Center , Dallas, Texas.,3 Department of Psychiatry, University of Texas Southwestern Medical Center , Dallas, Texas
| | - Rong Huang
- 4 Department of Clinical Research, Children's Medical Center , Dallas, Texas
| | - Steven G Kernie
- 5 Department of Pediatrics, University of Texas Southwestern Medical Center , Dallas, Texas
| | - Ramon Diaz-Arrastia
- 6 Department of Neurology, University of Texas Southwestern Medical Center , Dallas, Texas
| | - Darryl K Miles
- 5 Department of Pediatrics, University of Texas Southwestern Medical Center , Dallas, Texas
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Yuan L, Wei X, Xu C, Jin Y, Wang G, Li Y, Tian H, Chen S. Use of multisequence 3.0-T MRI to detect severe traumatic brain injury and predict the outcome. Br J Radiol 2015; 88:20150129. [PMID: 26067919 DOI: 10.1259/bjr.20150129] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE The aim of this study was to evaluate multisequence 3.0-T MRI in the detection of severe traumatic brain injury (sTBI) and in predicting the outcome. METHODS 32 patients with sTBI were prospectively enrolled, and multisequence 3.0-T MRI was performed 4-8 weeks post injury. Quantitative data were recorded on each sequence. The ability to display the parenchymal lesions was compared with that of 64-slice spiral CT. The clinical and radiological results were correlated with the Glasgow Outcome Scale Extended scores 6 months after injury. RESULTS 3.0-T MRI could display more lesions than CT, especially when the lesion was deeply located. The lesion volumes and diffuse axonal injury (DAI) scores were different between good and poor outcome groups on fluid attenuated inversion recovery (p < 0.05). The apparent diffusion coefficient (ADC) values of the splenium of the corpus callosum and brain stem were also different (p < 0.05). Patients with unfavourable outcome showed a significantly higher volume of haemorrhage on susceptibility-weighted imaging than those with favourable outcomes and had haemorrhages generally located more deeply. Logistic regression analysis revealed that the location of haemorrhage and the ADC values of the splenium of the corpus callosum were independent risk factors for poor outcome, with an overall predictive accuracy of 91.4%. CONCLUSION The joint use of conventional and advanced sequences of 3.0-T MRI can comprehensively detect the pathological changes occurring after sTBI. Haemorrhagic and non-haemorrhagic DAIs in deep structures strongly suggest poor outcome. ADVANCES IN KNOWLEDGE This article improves the understanding of advanced MRI sequences in the detection of patients with sTBI and prediction of prognosis.
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Affiliation(s)
- L Yuan
- 1 Department of Neurosurgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - X Wei
- 2 Department of Diagnostic Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - C Xu
- 1 Department of Neurosurgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Y Jin
- 1 Department of Neurosurgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - G Wang
- 1 Department of Neurosurgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Y Li
- 2 Department of Diagnostic Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - H Tian
- 1 Department of Neurosurgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - S Chen
- 1 Department of Neurosurgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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Shetty T, Raince A, Manning E, Tsiouris AJ. Imaging in Chronic Traumatic Encephalopathy and Traumatic Brain Injury. Sports Health 2015; 8:26-36. [PMID: 26733590 PMCID: PMC4702153 DOI: 10.1177/1941738115588745] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Context: The diagnosis of chronic traumatic encephalopathy (CTE) can only be made pathologically, and there is no concordance of defined clinical criteria for premorbid diagnosis. The absence of established criteria and the insufficient imaging findings to detect this disease in a living athlete are of growing concern. Evidence Acquisition: The article is a review of the current literature on CTE. Databases searched include Medline, PubMed, JAMA evidence, and evidence-based medicine guidelines Cochrane Library, Hospital for Special Surgery, and Cornell Library databases. Study Design: Clinical review. Level of Evidence: Level 4. Results: Chronic traumatic encephalopathy cannot be diagnosed on imaging. Examples of imaging findings in common types of head trauma are discussed. Conclusion: Further study is necessary to correlate the clinical and imaging findings of repetitive head injuries with the pathologic diagnosis of CTE.
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Affiliation(s)
- Teena Shetty
- Hospital for Special Surgery, New York, New York
| | | | - Erin Manning
- Hospital for Special Surgery, New York, New York
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Roguski M, Morel B, Sweeney M, Talan J, Rideout L, Riesenburger RI, Madan N, Hwang S. Magnetic resonance imaging as an alternative to computed tomography in select patients with traumatic brain injury: a retrospective comparison. J Neurosurg Pediatr 2015; 15:529-34. [PMID: 25700122 DOI: 10.3171/2014.10.peds14128] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT Traumatic head injury (THI) is a highly prevalent condition in the United States, and concern regarding excess radiation-related cancer mortality has placed focus on limiting the use of CT in the evaluation of pediatric patients with THI. Given the success of rapid-acquisition MRI in the evaluation of ventriculoperitoneal shunt malfunction in pediatric patient populations, this study sought to evaluate the sensitivity of MRI in the setting of acute THI. METHODS Medical records of 574 pediatric admissions for THI to a Level 1 trauma center over a 10-year period were retrospectively reviewed to identify patients who underwent both CT and MRI examinations of the head within a 5-day period. Thirty-five patients were found, and diagnostic images were available for 30 patients. De-identified images were reviewed by a neuroradiologist for presence of any injury, intracranial hemorrhage, diffuse axonal injury (DAI), and skull fracture. Radiology reports were used to calculate interrater reliability scores. Baseline demographics and concordance analysis was performed with Stata version 13. RESULTS The mean age of the 30-patient cohort was 8.5 ± 6.7 years, and 63.3% were male. The mean Injury Severity Score was 13.7 ± 9.2, and the mean Glasgow Coma Scale score was 9 ± 5.7. Radiology reports noted 150 abnormal findings. CT scanning missed findings in 12 patients; the missed findings included DAI (n = 5), subarachnoid hemorrhage (n = 6), small subdural hematomas (n = 6), cerebral contusions (n = 3), and an encephalocele. The CT scan was negative in 3 patients whose subsequent MRI revealed findings. MRI missed findings in 13 patients; missed findings included skull fracture (n = 5), small subdural hematomas (n = 4), cerebral contusions (n = 3), subarachnoid hemorrhage (n = 3), and DAI (n = 1). MRI was negative in 1 patient whose preceding CT scan was read as positive for injury. Although MRI more frequently reported intracranial findings than CT scanning, there was no statistically significant difference between CT and MRI in the detection of any intracranial injury (p = 0.63), DAI (p = 0.22), or intracranial hemorrhage (p = 0.25). CT scanning tended to more frequently identify skull fractures than MRI (p = 0.06). CONCLUSIONS MRI may be as sensitive as CT scanning in the detection of THI, DAI, and intracranial hemorrhage, but missed skull fractures in 5 of 13 patients. MRI may be a useful alternative to CT scanning in select stable patients with mild THI who warrant neuroimaging by clinical decision rules.
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Wintermark M, Sanelli PC, Anzai Y, Tsiouris AJ, Whitlow CT, Druzgal TJ, Gean AD, Lui YW, Norbash AM, Raji C, Wright DW, Zeineh M. Imaging Evidence and Recommendations for Traumatic Brain Injury: Conventional Neuroimaging Techniques. J Am Coll Radiol 2015; 12:e1-14. [DOI: 10.1016/j.jacr.2014.10.014] [Citation(s) in RCA: 100] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 10/14/2014] [Accepted: 10/18/2014] [Indexed: 12/14/2022]
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Ryan NP, Catroppa C, Cooper JM, Beare R, Ditchfield M, Coleman L, Silk T, Crossley L, Beauchamp MH, Anderson VA. The emergence of age-dependent social cognitive deficits after generalized insult to the developing brain: a longitudinal prospective analysis using susceptibility-weighted imaging. Hum Brain Mapp 2014; 36:1677-91. [PMID: 25537228 DOI: 10.1002/hbm.22729] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Revised: 11/20/2014] [Accepted: 12/16/2014] [Indexed: 01/14/2023] Open
Abstract
Childhood and adolescence are critical periods for maturation of neurobiological processes that underlie complex social and emotional behavior including Theory of Mind (ToM). While structural correlates of ToM are well described in adults, less is known about the anatomical regions subsuming these skills in the developing brain or the impact of cerebral insult on the acquisition and establishment of high-level social cognitive skills. This study aimed to examine the differential influence of age-at-insult and brain pathology on ToM in a sample of children and adolescents with traumatic brain injury (TBI). Children and adolescents with TBI (n = 112) were categorized according to timing of brain insult: (i) middle childhood (5-9 years; n = 41); (ii) late childhood (10-11 years; n = 39); and (iii) adolescence (12-15 years; n = 32) and group-matched for age, gender, and socioeconomic status to a typically developing (TD) control group (n = 43). Participants underwent magnetic resonance imaging including a susceptibility-weighted imaging (SWI) sequence 2-8 weeks postinjury and were assessed on a battery of ToM tasks at 6- and 24-months after injury. Results showed that for adolescents with TBI, social cognitive dysfunction at 6- and 24-months postinjury was associated with diffuse neuropathology and a greater number of lesions detected using SWI. In the late childhood TBI group, we found a time-dependent emergence of social cognitive impairment, linked to diffuse neuropathology. The middle childhood TBI group demonstrated performance unrelated to SWI pathology and comparable to TD controls. Findings indicate that the full extent of social cognitive deficits may not be realized until the associated skills reach maturity. Evidence for brain structure-function relationships suggests that the integrity of an anatomically distributed network of brain regions and their connections is necessary for the acquisition and establishment of high-level social cognitive skills.
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Affiliation(s)
- Nicholas P Ryan
- Australian Centre for Child Neuropsychological Studies, Murdoch Childrens Research Institute, Melbourne, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
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Ashwal S, Tong KA, Ghosh N, Bartnik-Olson B, Holshouser BA. Application of advanced neuroimaging modalities in pediatric traumatic brain injury. J Child Neurol 2014; 29:1704-17. [PMID: 24958007 PMCID: PMC4388155 DOI: 10.1177/0883073814538504] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Neuroimaging is commonly used for the assessment of children with traumatic brain injury and has greatly advanced how children are acutely evaluated. More recently, emphasis has focused on how advanced magnetic resonance imaging methods can detect subtler injuries that could relate to the structural underpinnings of the neuropsychological and behavioral alterations that frequently occur. We examine several methods used for the assessment of pediatric brain injury. Susceptibility-weighted imaging is a sensitive 3-dimensional high-resolution technique in detecting hemorrhagic lesions associated with diffuse axonal injury. Magnetic resonance spectroscopy acquires metabolite information, which serves as a proxy for neuronal (and glial, lipid, etc) structural integrity and provides sensitive assessment of neurochemical alterations. Diffusion-weighted imaging is useful for the early detection of ischemic and shearing injury. Diffusion tensor imaging allows better structural evaluation of white matter tracts. These methods are more sensitive than conventional imaging in demonstrating subtle injury that underlies a child's clinical symptoms. There also is an increasing desire to develop computational methods to fuse imaging data to provide a more integrated analysis of the extent to which components of the neurovascular unit are affected. The future of traumatic brain injury neuroimaging research is promising and will lead to novel approaches to predict and improve outcomes.
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Affiliation(s)
- Stephen Ashwal
- Departments of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Karen A. Tong
- Departments of Radiology, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Nirmalya Ghosh
- Departments of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Brenda Bartnik-Olson
- Departments of Radiology, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Barbara A. Holshouser
- Departments of Radiology, Loma Linda University School of Medicine, Loma Linda, CA, USA
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Liu C, Li W, Tong KA, Yeom KW, Kuzminski S. Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain. J Magn Reson Imaging 2014; 42:23-41. [PMID: 25270052 DOI: 10.1002/jmri.24768] [Citation(s) in RCA: 341] [Impact Index Per Article: 34.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Revised: 09/04/2014] [Accepted: 09/05/2014] [Indexed: 12/12/2022] Open
Abstract
Susceptibility-weighted imaging (SWI) is a magnetic resonance imaging (MRI) technique that enhances image contrast by using the susceptibility differences between tissues. It is created by combining both magnitude and phase in the gradient echo data. SWI is sensitive to both paramagnetic and diamagnetic substances which generate different phase shift in MRI data. SWI images can be displayed as a minimum intensity projection that provides high resolution delineation of the cerebral venous architecture, a feature that is not available in other MRI techniques. As such, SWI has been widely applied to diagnose various venous abnormalities. SWI is especially sensitive to deoxygenated blood and intracranial mineral deposition and, for that reason, has been applied to image various pathologies including intracranial hemorrhage, traumatic brain injury, stroke, neoplasm, and multiple sclerosis. SWI, however, does not provide quantitative measures of magnetic susceptibility. This limitation is currently being addressed with the development of quantitative susceptibility mapping (QSM) and susceptibility tensor imaging (STI). While QSM treats susceptibility as isotropic, STI treats susceptibility as generally anisotropic characterized by a tensor quantity. This article reviews the basic principles of SWI, its clinical and research applications, the mechanisms governing brain susceptibility properties, and its practical implementation, with a focus on brain imaging.
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Affiliation(s)
- Chunlei Liu
- Brain Imaging and Analysis Center, School of Medicine, Duke University, Durham, North Carolina, USA.,Department of Radiology, School of Medicine, Duke University, Durham, North Carolina, USA
| | - Wei Li
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, Texas, USA.,Department of Ophthalmology, University of Texas Health Science Center at San Antonio, Texas, USA
| | - Karen A Tong
- Department of Radiology, School of Medicine, Loma Linda University, Loma Linda, California, USA
| | - Kristen W Yeom
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, California, USA
| | - Samuel Kuzminski
- Department of Radiology, School of Medicine, Duke University, Durham, North Carolina, USA
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Liu J, Kou Z, Tian Y. Diffuse axonal injury after traumatic cerebral microbleeds: an evaluation of imaging techniques. Neural Regen Res 2014; 9:1222-30. [PMID: 25206786 PMCID: PMC4146289 DOI: 10.4103/1673-5374.135330] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/01/2014] [Indexed: 12/11/2022] Open
Abstract
Previous neuropathological studies regarding traumatic brain injury have primarily focused on changes in large structures, for example, the clinical prognosis after cerebral contusion, intracerebral hematoma, and epidural and subdural hematoma. In fact, many smaller injuries can also lead to severe neurological disorders. For example, cerebral microbleeds result in the dysfunction of adjacent neurons and the disassociation between cortex and subcortical structures. These tiny changes cannot be adequately visualized on CT or conventional MRI. In contrast, gradient echo sequence-based susceptibility-weighted imaging is very sensitive to blood metabolites and microbleeds, and can be used to evaluate traumatic cerebral microbleeds with high sensitivity and accuracy. Cerebral microbleed can be considered as an important imaging marker for diffuse axonal injury with potential relevance for prognosis. For this reason, based on experimental and clinical studies, this study reviews the role of imaging data showing traumatic cerebral microbleeds in the evaluation of cerebral neuronal injury and neurofunctional loss.
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Affiliation(s)
- Jun Liu
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China ; Department of Biomedical Engineering and Radiology, School of Medicine, Wayne State University, 3990 John R St, Detroit, MI, USA ; School of Public Administration, Central South University, Changsha, Hunan Province, China
| | - Zhifeng Kou
- Department of Biomedical Engineering and Radiology, School of Medicine, Wayne State University, 3990 John R St, Detroit, MI, USA
| | - Yongquan Tian
- School of Public Administration, Central South University, Changsha, Hunan Province, China
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ACR Appropriateness Criteria head trauma--child. J Am Coll Radiol 2014; 11:939-47. [PMID: 25164794 DOI: 10.1016/j.jacr.2014.07.017] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Accepted: 07/08/2014] [Indexed: 12/11/2022]
Abstract
Head trauma is a frequent indication for cranial imaging in children. CT is considered the first line of study for suspected intracranial injury because of its wide availability and rapid detection of acute hemorrhage. However, the majority of childhood head injuries occur without neurologic complications, and particular consideration should be given to the greater risks of ionizing radiation in young patients in the decision to use CT for those with mild head trauma. MRI can detect traumatic complications without radiation, but often requires sedation in children, owing to the examination length and motion sensitivity, which limits rapid assessment and exposes the patient to potential anesthesia risks. MRI may be helpful in patients with suspected nonaccidental trauma, with which axonal shear injury and ischemia are more common and documentation is critical, as well as in those whose clinical status is discordant with CT findings. Advanced techniques, such as diffusion tensor imaging, may identify changes occult by standard imaging, but data are currently insufficient to support routine clinical use. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed every 3 years by a multidisciplinary expert panel. The guideline development and review include an extensive analysis of current medical literature from peer-reviewed journals and the application of a well-established consensus methodology (modified Delphi) to rate the appropriateness of imaging and treatment procedures by the panel. In those instances in which evidence is lacking or not definitive, expert opinion may be used to recommend imaging or treatment.
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Choi JI, Kim BJ, Ha SK, Kim SH, Lim DJ, Kim SD. Comparison of subgroups based on hemorrhagic lesions between SWI and FLAIR in pediatric traumatic brain injury. Childs Nerv Syst 2014; 30:1011-9. [PMID: 24408783 DOI: 10.1007/s00381-013-2349-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2013] [Accepted: 12/23/2013] [Indexed: 11/28/2022]
Abstract
PURPOSE The purpose of this study was to investigate efficient ways to diagnose and predict clinical outcomes for childhood traumatic brain injury. METHODS Hemorrhagic signal intensities in nine brain regions were observed using axial fluid-attenuated inversion recovery (FLAIR) and susceptibility-weighted imaging (SWI). After having divided the subjects into mild presentation (GCS 14-15) and moderate-to-severe presentation groups (GCS ≤13), we divided the patients into three subgroups: Subgroup I, hemorrhagic foci observed only on SWI and not on FLAIR; Subgroup II, hemorrhagic foci observed on both SWI and FLAIR in the same brain regions; and Subgroup III, any cases with additional foci on SWI in other brain regions. We investigated the clinical course and compared lesion numbers and distributions of hemorrhagic lesions on SWI among the subgroups. RESULTS Three clinical variables (hospitalization period in intensive care unit, total days of hospitalization, and outcome based on Pediatric Cerebral Performance Category Scale score) showed significant relevance to the three subgroups. Subgroup I showed the fewest lesions followed by Subgroups II and III, respectively. In all three subgroups, lesions were most abundant in cortical regions. Lesion in the thalamus, basal ganglia, corpus callosum, and brainstem was least in Subgroup I and gradually increased in Subgroups II and III. Such distinction was more significant in the moderate-to-severe group when compared with the mild group. CONCLUSIONS In cases of pediatric traumatic brain injury, categorizing patients into one of the above three subgroups based on hemorrhagic lesions on SWI and FLAIR is a promising method for predicting patient's clinical outcome.
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Affiliation(s)
- Jong-Il Choi
- Department of Neurosurgery, Korea University Ansan Hospital, Ansan, South Korea
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Andruszkow H, Deniz E, Urner J, Probst C, Grün O, Lohse R, Frink M, Krettek C, Zeckey C, Hildebrand F. Physical and psychological long-term outcome after traumatic brain injury in children and adult patients. Health Qual Life Outcomes 2014; 12:26. [PMID: 24571742 PMCID: PMC3941774 DOI: 10.1186/1477-7525-12-26] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2013] [Accepted: 02/19/2014] [Indexed: 12/03/2022] Open
Abstract
Background Several studies have indicated that younger age is associated with worse recovery after pediatric traumatic brain injury (TBI) compared to elder children. In order to verify this association between long-term outcome after moderate to severe TBI and patient’s age, direct comparison between different pediatric age groups as well as an adult population was performed. Methods This investigation represents a retrospective cohort study at a level I trauma center including patients with moderate to severe, isolated TBI with a minimum follow-up of 10 years. According to their age at time of injury, patients were divided in pre-school (0–7 years), school (8–17 years) and adult (18–65 years) patients. Physical examination and standardized questionnaire on physical and psychological aspects (Glasgow Outcome Scale, Barthel Index, Impact of Event Scale, Hospital Anxiety and Depression Scale, short form 12) were performed. Results 135 traumatized patients were included. Physical and psychological long-term outcome was associated with injury severity but not with patients’ age at time of injury. Outcome recovery measured by Glasgow Outcome Scale was demonstrated with best results for pre-school aged children (p = 0.009). According to the Hospital Anxiety and Depression Scale an increased incidence of anxiety (p = 0.010) and depression (p = 0.026) was evaluated in older patients. Conclusion Long-term outcome perceptions after moderate to severe TBI presented in this study question current views of deteriorated recovery for the immature brain. The sustained TBI impact seemed not to reduce the child’s ability to overcome the suffered impairment measured by questionnaire based psychological, physical and health related outcome scores. These results distinguish the relevance of rehabilitation and family support in the long term.
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Affiliation(s)
- Hagen Andruszkow
- Department of Orthopaedic Trauma, Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany.
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Spitz G, Maller JJ, Ng A, O'Sullivan R, Ferris NJ, Ponsford JL. Detecting Lesions after Traumatic Brain Injury Using Susceptibility Weighted Imaging: A Comparison with Fluid-Attenuated Inversion Recovery and Correlation with Clinical Outcome. J Neurotrauma 2013; 30:2038-50. [DOI: 10.1089/neu.2013.3021] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Gershon Spitz
- School of Psychology and Psychiatry, Monash University, Melbourne, Australia
- Monash-Epworth Rehabilitation Research Center, Epworth Hospital, Melbourne, Australia
| | - Jerome J. Maller
- Central Clinical School, Monash University, Melbourne, Australia
- Monash Alfred Psychiatry Research Center, Alfred Hospital, Melbourne, Australia
| | - Amanda Ng
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
- Monash e-Research Center, Monash University, Melbourne, Australia
- Life Sciences Computation Center, Victorian Life Sciences Computation Initiative, Melbourne, Australia
| | | | | | - Jennie L. Ponsford
- School of Psychology and Psychiatry, Monash University, Melbourne, Australia
- Monash-Epworth Rehabilitation Research Center, Epworth Hospital, Melbourne, Australia
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Campbell TF, Dollaghan C, Janosky J, Rusiewicz HL, Small SL, Dick F, Vick J, Adelson PD. Consonant accuracy after severe pediatric traumatic brain injury: a prospective cohort study. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2013; 56:1023-1034. [PMID: 23275427 DOI: 10.1044/1092-4388(2012/12-0077)] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
PURPOSE The authors sought to describe longitudinal changes in Percentage of Consonants Correct-Revised (PCC-R) after severe pediatric traumatic brain injury (TBI), to compare the odds of normal-range PCC-R in children injured at older and younger ages, and to correlate predictor variables and PCC-R outcomes. METHOD In 56 children injured between age 1 month and 11 years, PCC-R was calculated over 12 monthly sessions beginning when the child produced ≥ 10 words. At each session, the authors compared odds of normal-range PCC-R in children injured at younger (≤ 60 months) and older (> 60 months) ages. Correlations were calculated between final PCC-R and age at injury, injury mechanism, gender, maternal education, residence, treatment, Glasgow Coma Score, and intact brain volume. RESULTS PCC-Rs varied within and between children. Odds of normal-range PCC-R were significantly higher for the older than for the younger group at all sessions but the first; odds of normal-range PCC-R were 9 to 33 times higher in the older group in sessions 3 to 12. Age at injury was significantly correlated with final PCC-R. CONCLUSION Over a 12-month period, severe TBI had more adverse effects for children whose ages placed them in the most intensive phase of PCC-R development than for children injured later.
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Affiliation(s)
- Thomas F Campbell
- Callier Center for Communication Disorders, The University of Texas at Dallas, USA.
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Krach LE, Aldahondo N, Sinner A, Quigley S. Current concepts in the rehabilitation of pediatric traumatic brain injury. CURRENT PHYSICAL MEDICINE AND REHABILITATION REPORTS 2013. [DOI: 10.1007/s40141-013-0007-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Bigler ED, Maxwell WL. Neuropathology of mild traumatic brain injury: relationship to neuroimaging findings. Brain Imaging Behav 2012; 6:108-36. [PMID: 22434552 DOI: 10.1007/s11682-011-9145-0] [Citation(s) in RCA: 220] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Neuroimaging identified abnormalities associated with traumatic brain injury (TBI) are but gross indicators that reflect underlying trauma-induced neuropathology at the cellular level. This review examines how cellular pathology relates to neuroimaging findings with the objective of more closely relating how neuroimaging findings reveal underlying neuropathology. Throughout this review an attempt will be made to relate what is directly known from post-mortem microscopic and gross anatomical studies of TBI of all severity levels to the types of lesions and abnormalities observed in contemporary neuroimaging of TBI, with an emphasis on mild traumatic brain injury (mTBI). However, it is impossible to discuss the neuropathology of mTBI without discussing what occurs with more severe injury and viewing pathological changes on some continuum from the mildest to the most severe. Historical milestones in understanding the neuropathology of mTBI are reviewed along with implications for future directions in the examination of neuroimaging and neuropathological correlates of TBI.
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Affiliation(s)
- Erin D Bigler
- Department of Psychology, Brigham Young University, Provo, UT, USA.
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Beauchamp MH, Beare R, Ditchfield M, Coleman L, Babl FE, Kean M, Crossley L, Catroppa C, Yeates KO, Anderson V. Susceptibility weighted imaging and its relationship to outcome after pediatric traumatic brain injury. Cortex 2012; 49:591-8. [PMID: 23062584 DOI: 10.1016/j.cortex.2012.08.015] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2011] [Revised: 06/06/2012] [Accepted: 08/07/2012] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Traumatic brain injury (TBI) sustained during childhood can cause difficulties in a wide range of physical, neurological, cognitive, social and functional domains. However, the ability of health professionals and researchers to accurately predict the outcome of pediatric TBI remains limited. The advent of advanced neuroimaging techniques shows some promise in improving outcome prediction, as they contribute to greater sensitivity in characterizing intracranial lesions underlying many cognitive and functional deficits. In this study, the relationship between lesions identified on susceptibility weighted imaging (SWI) and cognitive and functional outcomes was investigated following childhood TBI. METHOD Participants between 5 and 14 years of age with varying levels of TBI severity (mild, mild complicated, moderate, severe, n = 106) underwent susceptibility weighted scanning on average 1-month post-injury and completed an assessment of intellectual functioning, processing speed, and behavioral and adaptive skills 6-month post-injury. RESULTS More severe TBI was generally associated with poorer intellectual functioning, greater behavioral problems and lower adaptive functioning. Number and volume of SWI lesions were significantly correlated with clinical outcome variables including Glasgow Coma Score (GCS), surgical intervention, length of hospital stay and length of intubation, as well as with intellectual functioning. Together, SWI and GCS accounted for a significant, though small, proportion of the variance in intellectual quotient (IQ). CONCLUSIONS SWI is a sensitive technique for detecting brain lesions at all TBI severity levels and shows promise in contributing to prediction of cognitive outcomes in the initial stages post-injury.
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Irimia A, Wang B, Aylward SR, Prastawa MW, Pace DF, Gerig G, Hovda DA, Kikinis R, Vespa PM, Van Horn JD. Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction. NEUROIMAGE-CLINICAL 2012; 1:1-17. [PMID: 24179732 PMCID: PMC3757727 DOI: 10.1016/j.nicl.2012.08.002] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2012] [Revised: 08/14/2012] [Accepted: 08/15/2012] [Indexed: 11/01/2022]
Abstract
Recent contributions to the body of knowledge on traumatic brain injury (TBI) favor the view that multimodal neuroimaging using structural and functional magnetic resonance imaging (MRI and fMRI, respectively) as well as diffusion tensor imaging (DTI) has excellent potential to identify novel biomarkers and predictors of TBI outcome. This is particularly the case when such methods are appropriately combined with volumetric/morphometric analysis of brain structures and with the exploration of TBI-related changes in brain network properties at the level of the connectome. In this context, our present review summarizes recent developments on the roles of these two techniques in the search for novel structural neuroimaging biomarkers that have TBI outcome prognostication value. The themes being explored cover notable trends in this area of research, including (1) the role of advanced MRI processing methods in the analysis of structural pathology, (2) the use of brain connectomics and network analysis to identify outcome biomarkers, and (3) the application of multivariate statistics to predict outcome using neuroimaging metrics. The goal of the review is to draw the community's attention to these recent advances on TBI outcome prediction methods and to encourage the development of new methodologies whereby structural neuroimaging can be used to identify biomarkers of TBI outcome.
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Key Words
- 3D, three-dimensional
- AAL, Automatic Anatomical Labeling
- ADC, apparent diffusion coefficient
- ANTS, Advanced Normalization ToolS
- BOLD, blood oxygen level dependent
- CC, corpus callosum
- CT, computed tomography
- DAI, diffuse axonal injury
- DSI, diffusion spectrum imaging
- DTI, diffusion tensor imaging
- DWI, diffusion weighted imaging
- Diffusion tensor
- FA, fractional anisotropy
- FLAIR, Fluid Attenuated Inversion Recovery
- FSE, Functional Status Examination
- GCS, Glasgow Coma Score
- GM, gray matter
- GOS, Glasgow Outcome Score
- GRE, Gradient Recalled Echo
- HARDI, high-angular-resolution diffusion imaging
- IBA, Individual Brain Atlas
- LDA, linear discriminant analysis
- MRI, magnetic resonance imaging
- MRI/fMRI
- NINDS, National Institute of Neurological Disorders and Stroke
- Neuroimaging
- Outcome measures
- PCA, principal component analysis
- PROMO, PROspective MOtion Correction
- SPM, Statistical Parametric Mapping
- SWI, Susceptibility Weighted Imaging
- TBI, traumatic brain injury
- TBSS, tract-based spatial statistics
- Trauma
- WM, white matter
- fMRI, functional magnetic resonance imaging
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Affiliation(s)
- Andrei Irimia
- Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, CA 90095, USA
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Geurts BHJ, Andriessen TMJC, Goraj BM, Vos PE. The reliability of magnetic resonance imaging in traumatic brain injury lesion detection. Brain Inj 2012; 26:1439-50. [PMID: 22731791 DOI: 10.3109/02699052.2012.694563] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE This study compares inter-rater-reliability, lesion detection and clinical relevance of T2-weighted imaging (T2WI), Fluid Attenuated Inversion Recovery (FLAIR), T2*-gradient recalled echo (T2*-GRE) and Susceptibility Weighted Imaging (SWI) in Traumatic Brain Injury (TBI). METHODS Three raters retrospectively scored 56 TBI patients' MR images (12-76 years old, median TBI-MRI interval 7 weeks) on number, volume, location and intensity. Punctate lesions (diameter <10 mm) were scored separately from large lesions (diameter ≥ 10 mm). Injury severity was assessed with the Glasgow Coma Scale (GCS), outcome with the Glasgow Outcome Scale-Extended (GOSE). RESULTS Inter-rater-reliability for lesion volume and punctate lesion count was good (ICC = 0.69-0.94) except for punctate lesion count on T2WI (ICC = 0.19) and FLAIR (ICC = 0.15). SWI showed the highest number of lesions (mean = 30.0), followed by T2*-GRE (mean = 15.4), FLAIR (mean = 3.1) and T2WI (mean = 2.2). Sequences did not differ in detected lesion volume. Punctate lesion count on T2*-GRE (r = -0.53) and SWI (r = -0.49) correlated with the GCS (p < 0.001). CONCLUSIONS T2*-GRE and SWI are more sensitive than T2WI and FLAIR in detecting (haemorrhagic) traumatic punctate lesions. The correlation between number of punctate lesions on T2*-GRE/SWI and the GCS indicates that haemorrhagic lesions are clinically relevant. The considerable inter-rater-disagreement in this study advocates cautiousness in interpretation of punctate lesions using T2WI and FLAIR.
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Affiliation(s)
- Bram H J Geurts
- Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands
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Effects of variable blast pressures on blood flow and oxygen saturation in rat brain as evidenced using MRI. Magn Reson Imaging 2012; 30:527-34. [DOI: 10.1016/j.mri.2011.12.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2011] [Revised: 10/26/2011] [Accepted: 12/04/2011] [Indexed: 12/13/2022]
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