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Gungor E, Haliloglu G, Yalnizoglu D, Oguz KK, Teksam O. Predictors of Clinically Important Neuroimaging Findings in Children Presenting Pediatric Emergency Department. Pediatr Emerg Care 2024; 40:474-479. [PMID: 38587067 DOI: 10.1097/pec.0000000000003203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
OBJECTIVE The aim of the study is to evaluate predictors of clinically important neuroimaging results, that is, computed tomography and magnetic resonance imaging in children in an academic pediatric emergency department (PED) from 2015 to 2019. METHODS This study was conducted in an academic PED. The patient's demographic and clinical characteristics of PED visits and neuroimaging findings requested at the PED were recorded for January 1, 2015, to December 31, 2019. In addition, descriptive statistics and logistic regression analyses were conducted. We described and determined the predictors of clinically important neuroimaging findings in children. RESULTS Clinically important neuroimaging findings were detected in patients with blurred vision ( P = 0.001), ataxia ( P = 0.003), unilateral weakness ( P = 0.004), and altered level of consciousness ( P = 0.026). Clinically important neuroimaging was found 9.4 times higher in patients with altered level of consciousness, 7.4 times higher in patients with focal weakness, 4.6 times higher in patients with blurred vision, and 3.5 times more in patients presenting with ataxia. CONCLUSIONS Advanced neuroimaging, especially for selected patients in PED, can improve the quality of health care for patients. On the other hand, irrelevant neuroimaging findings can lead physicians away from prompt diagnosis and accurate management. According to our study, advanced neuroimaging can be performed in the early period for both diagnosis and early treatment, especially in selected patients with ataxia, blurred vision, altered consciousness, and unilateral weakness. In other cases, clinicians may find more supporting evidence.
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Affiliation(s)
- Emre Gungor
- From the Division of Pediatric Emergency Medicine, Department of Pediatrics
| | | | | | - Kader Karli Oguz
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Ozlem Teksam
- From the Division of Pediatric Emergency Medicine, Department of Pediatrics
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Cooper R, Hayes RA, Corcoran M, Sheth KN, Arnold TC, Stein JM, Glahn DC, Jalbrzikowski M. Bridging the gap: improving correspondence between low-field and high-field magnetic resonance images in young people. Front Neurol 2024; 15:1339223. [PMID: 38585353 PMCID: PMC10995930 DOI: 10.3389/fneur.2024.1339223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/19/2024] [Indexed: 04/09/2024] Open
Abstract
Background Portable low-field-strength magnetic resonance imaging (MRI) systems represent a promising alternative to traditional high-field-strength systems with the potential to make MR technology available at scale in low-resource settings. However, lower image quality and resolution may limit the research and clinical potential of these devices. We tested two super-resolution methods to enhance image quality in a low-field MR system and compared their correspondence with images acquired from a high-field system in a sample of young people. Methods T1- and T2-weighted structural MR images were obtained from a low-field (64mT) Hyperfine and high-field (3T) Siemens system in N = 70 individuals (mean age = 20.39 years, range 9-26 years). We tested two super-resolution approaches to improve image correspondence between images acquired at high- and low-field: (1) processing via a convolutional neural network ('SynthSR'), and (2) multi-orientation image averaging. We extracted brain region volumes, cortical thickness, and cortical surface area estimates. We used Pearson correlations to test the correspondence between these measures, and Steiger Z tests to compare the difference in correspondence between standard imaging and super-resolution approaches. Results Single pairs of T1- and T2-weighted images acquired at low field showed high correspondence to high-field-strength images for estimates of total intracranial volume, surface area cortical volume, subcortical volume, and total brain volume (r range = 0.60-0.88). Correspondence was lower for cerebral white matter volume (r = 0.32, p = 0.007, q = 0.009) and non-significant for mean cortical thickness (r = -0.05, p = 0.664, q = 0.664). Processing images with SynthSR yielded significant improvements in correspondence for total brain volume, white matter volume, total surface area, subcortical volume, cortical volume, and total intracranial volume (r range = 0.85-0.97), with the exception of global mean cortical thickness (r = 0.14). An alternative multi-orientation image averaging approach improved correspondence for cerebral white matter and total brain volume. Processing with SynthSR also significantly improved correspondence across widespread regions for estimates of cortical volume, surface area and subcortical volume, as well as within isolated prefrontal and temporal regions for estimates of cortical thickness. Conclusion Applying super-resolution approaches to low-field imaging improves regional brain volume and surface area accuracy in young people. Finer-scale brain measurements, such as cortical thickness, remain challenging with the limited resolution of low-field systems.
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Affiliation(s)
- Rebecca Cooper
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Rebecca A. Hayes
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Boston, MA, United States
| | - Mary Corcoran
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Boston, MA, United States
| | - Kevin N. Sheth
- Center for Brain and Mind Health, Yale School of Medicine, New Haven, CT, United States
| | - Thomas Campbell Arnold
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States
| | - Joel M. Stein
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David C. Glahn
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, United States
| | - Maria Jalbrzikowski
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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Gallo-Bernal S, Gee MS. Commentary: Redefining the role of emergency department MRI in pediatric ovarian torsion evaluation. Pediatr Radiol 2024; 54:236-238. [PMID: 38194104 DOI: 10.1007/s00247-023-05850-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 01/10/2024]
Affiliation(s)
- Sebastian Gallo-Bernal
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, AUS-210, Boston, MA, 02114, USA
- Department of Radiology, Harvard Medical School, Boston, MA, 02114, USA
- Pediatric Imaging Research Center (PIRC), Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, NYC Health + Hospitals, Icahn School of Medicine at Mount Sinai, Elmhurst, NY, USA
| | - Michael S Gee
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, AUS-210, Boston, MA, 02114, USA.
- Department of Radiology, Harvard Medical School, Boston, MA, 02114, USA.
- Pediatric Imaging Research Center (PIRC), Massachusetts General Hospital, Boston, MA, USA.
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Bruns N, Schara-Schmidt U, Dohna-Schwake C. [Pediatric neurocritical care]. DER NERVENARZT 2023; 94:75-83. [PMID: 36645451 DOI: 10.1007/s00115-022-01424-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/06/2022] [Indexed: 01/17/2023]
Abstract
Pediatric neurocritical care requires multidisciplinary expertise for the care of critically ill children. Approximately 14-16% of critically ill children in pediatric intensive care suffer from a primary neurological disease, whereby cardiac arrest and severe traumatic brain injury play major roles in Europe. The short-term goal of interventions in the pediatric intensive care unit is to stabilize vital functions, whereas the overarching goal is to achieve survival without neurological damage that enables fulfillment of the individual developmental physiological potential. For this reason, evidence-based methods for brain monitoring during the acute phase and recovery are necessary, which can be performed clinically or with technical devices. This applies to critically ill children with primary neurological diseases and for all children at risk for secondary neurological insults. Patients with diseases of the peripheral nervous system are also treated in pediatric intensive care medicine. In these patients, the primary aim frequently consists of bridging the time until recovery after acute deterioration, for example during an infection. In these patients, monitoring the cerebral function can be especially challenging, because due to the underlying disease the results of the examination cannot be interpreted in the same way as for previously neurologically healthy children. This article summarizes the complexity of pediatric neurocritical care by presenting examples of diagnostic and therapeutic approaches in the context of various neurological diseases that can be routinely encountered in the pediatric intensive care unit and can only be successfully treated by multidisciplinary teams.
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Affiliation(s)
- Nora Bruns
- Zentrum für Kinder- und Jugendmedizin, Klinik für Kinderheilkunde I (Neonatologie, Pädiatrische Intensivmedizin, Neuropädiatrie), Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland.
- Center for Translational and Behavioral Sciences (TNBS), Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland.
| | - Ulrike Schara-Schmidt
- Zentrum für Kinder- und Jugendmedizin, Klinik für Kinderheilkunde I (Neonatologie, Pädiatrische Intensivmedizin, Neuropädiatrie), Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland
- Center for Translational and Behavioral Sciences (TNBS), Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland
| | - Christian Dohna-Schwake
- Zentrum für Kinder- und Jugendmedizin, Klinik für Kinderheilkunde I (Neonatologie, Pädiatrische Intensivmedizin, Neuropädiatrie), Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland
- Center for Translational and Behavioral Sciences (TNBS), Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland
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