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Ko TS, Catennacio E, Shin SS, Stern J, Massey SL, Kilbaugh TJ, Hwang M. Advanced Neuromonitoring Modalities on the Horizon: Detection and Management of Acute Brain Injury in Children. Neurocrit Care 2023; 38:791-811. [PMID: 36949362 PMCID: PMC10241718 DOI: 10.1007/s12028-023-01690-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 01/31/2023] [Indexed: 03/24/2023]
Abstract
Timely detection and monitoring of acute brain injury in children is essential to mitigate causes of injury and prevent secondary insults. Increasing survival in critically ill children has emphasized the importance of neuroprotective management strategies for long-term quality of life. In emergent and critical care settings, traditional neuroimaging modalities, such as computed tomography and magnetic resonance imaging (MRI), remain frontline diagnostic techniques to detect acute brain injury. Although detection of structural and anatomical abnormalities remains crucial, advanced MRI sequences assessing functional alterations in cerebral physiology provide unique diagnostic utility. Head ultrasound has emerged as a portable neuroimaging modality for point-of-care diagnosis via assessments of anatomical and perfusion abnormalities. Application of electroencephalography and near-infrared spectroscopy provides the opportunity for real-time detection and goal-directed management of neurological abnormalities at the bedside. In this review, we describe recent technological advancements in these neurodiagnostic modalities and elaborate on their current and potential utility in the detection and management of acute brain injury.
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Affiliation(s)
- Tiffany S Ko
- Department of Anesthesiology and Critical Care, Children's Hospital of Philadelphia, Philadelphia, USA.
| | - Eva Catennacio
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Samuel S Shin
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, USA
| | - Joseph Stern
- Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, USA
| | - Shavonne L Massey
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Todd J Kilbaugh
- Department of Anesthesiology and Critical Care, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Misun Hwang
- Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, USA
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2
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Kessler BA, Goh JL, Pajer HB, Asher AM, Northam WT, Hung SC, Selden NR, Quinsey CS. Rapid-sequence MRI for evaluation of pediatric traumatic brain injury: a systematic review. J Neurosurg Pediatr 2021; 28:278-286. [PMID: 34171833 DOI: 10.3171/2021.2.peds20852] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 02/01/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Rapid-sequence MRI (RSMRI) of the brain is a limited-sequence MRI protocol that eliminates ionizing radiation exposure and reduces imaging time. This systematic review sought to examine studies of clinical RSMRI use for pediatric traumatic brain injury (TBI) and to evaluate various RSMRI protocols used, including their reported accuracy as well as clinical and systems-based limitations to implementation. METHODS PubMed, EMBASE, and Web of Science databases were searched, and clinical articles reporting the use of a limited brain MRI protocol in the setting of pediatric head trauma were identified. RESULTS Of the 1639 articles initially identified and reviewed, 13 studies were included. An additional article that was in press at the time was provided by its authors. The average RSMRI study completion time was variable, spanning from 1 minute to 16 minutes. RSMRI with "blood-sensitive" sequences was more sensitive for detection of hemorrhage compared with head CT (HCT), but less sensitive for detection of skull fractures. Compared with standard MRI, RSMRI had decreased sensitivity for all evidence of trauma. CONCLUSIONS Protocols and uses of RSMRI for pediatric TBI were variable among the included studies. While traumatic pathology missed by RSMRI, such as small hemorrhages and linear, nondisplaced skull fractures, was frequently described as clinically insignificant, in some cases these findings may be prognostically and/or forensically significant. Institutions should integrate RSMRI into pediatric TBI management judiciously, relying on clinical context and institutional capabilities.
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Affiliation(s)
| | - Jo Ling Goh
- 2Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon
| | - Hengameh B Pajer
- 3Campbell University School of Osteopathic Medicine, Buies Creek, North Carolina and
| | | | | | - Sheng-Che Hung
- 5Division of Neuroradiology, Department of Radiology
- 6Biomedical Research Imaging Center, University of North Carolina, Chapel Hill
| | - Nathan R Selden
- 2Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon
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3
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Armao D, Hartman TS, Katz L, Shea CM, Koschnitzky J, Yang R, Smith JK, Quinsey C. Radiation safety education and diagnostic imaging in pediatric patients with surgically treated hydrocephalus: the patient and family perspective. Childs Nerv Syst 2021; 37:491-497. [PMID: 32710252 DOI: 10.1007/s00381-020-04822-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 07/17/2020] [Indexed: 11/30/2022]
Abstract
PURPOSE Surgically treated hydrocephalus patients are frequently imaged with head computed tomography (CT), and risk/benefit communication with families is inconsistent and unknown. We aimed to educate patients and caregivers about radiation safety in CT and explore their communication preferences. METHODS We conducted a pediatric CT radiation safety and diagnostic imaging educational workshop for patients and caregivers at a national conference on hydrocephalus to characterize current practice and desired communication about CT imaging. Our workshop consisted of an interactive educational intervention with pre-/post-session surveys followed by feedback from participants. RESULTS Our session included 34 participants (100% response rate for surveys) with 28 being parents of individuals with hydrocephalus. A total of 76% (n = 26) participants showed an increase in knowledge after the session (p < 0.01). All participants (N = 34) uniformly desired risk/benefit discussions before CT scans. However, 71% stated that they were not informed of risks/benefits of CT scans by a medical professional. Following the session, the number of participants indicating that informed consent should be obtained before CT scans increased from 30 to 33. Respondents also revealed that 14% of children and young adults had received > 100 CT scans for shunt evaluation with the median being 25 scans (IQR 20). CONCLUSIONS Caregivers desire and deserve to be empowered through education and social support, and continuously engaged through sharing decisions and co-designing care plans. The neurosurgical community is in an ideal position to collaborate with radiologists, primary care providers, and parents in the development and testing of credible, high-quality online and social media resources.
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Affiliation(s)
- Diane Armao
- Department of Radiology, University of North Carolina, Campus Box 7510, Chapel Hill, NC, 27599-7510, USA. .,Department of Pathology and Laboratory Medicine, University of North Carolina, Campus Box 7510, Chapel Hill, NC, 27599-7510, USA.
| | - Terry S Hartman
- Department of Radiology, University of North Carolina, Campus Box 7510, Chapel Hill, NC, 27599-7510, USA.,Department of Health Informatics, School of Health Professionals, Rutgers University, Newark, NJ, USA
| | - Laurence Katz
- Department of Emergency Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Christopher M Shea
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | | | - Richard Yang
- School of Osteopathic Medicine, Campbell University, Buies Creek, NC, USA
| | - J Keith Smith
- Department of Radiology, University of North Carolina, Campus Box 7510, Chapel Hill, NC, 27599-7510, USA
| | - Carolyn Quinsey
- Department of Neurosurgery, University of North Carolina, Chapel Hill, NC, USA
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4
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Quon JL, Han M, Kim LH, Koran ME, Cheng LC, Lee EH, Wright J, Ramaswamy V, Lober RM, Taylor MD, Grant GA, Cheshier SH, Kestle JRW, Edwards MS, Yeom KW. Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus. J Neurosurg Pediatr 2021; 27:131-138. [PMID: 33260138 PMCID: PMC9707365 DOI: 10.3171/2020.6.peds20251] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 06/10/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Imaging evaluation of the cerebral ventricles is important for clinical decision-making in pediatric hydrocephalus. Although quantitative measurements of ventricular size, over time, can facilitate objective comparison, automated tools for calculating ventricular volume are not structured for clinical use. The authors aimed to develop a fully automated deep learning (DL) model for pediatric cerebral ventricle segmentation and volume calculation for widespread clinical implementation across multiple hospitals. METHODS The study cohort consisted of 200 children with obstructive hydrocephalus from four pediatric hospitals, along with 199 controls. Manual ventricle segmentation and volume calculation values served as "ground truth" data. An encoder-decoder convolutional neural network architecture, in which T2-weighted MR images were used as input, automatically delineated the ventricles and output volumetric measurements. On a held-out test set, segmentation accuracy was assessed using the Dice similarity coefficient (0 to 1) and volume calculation was assessed using linear regression. Model generalizability was evaluated on an external MRI data set from a fifth hospital. The DL model performance was compared against FreeSurfer research segmentation software. RESULTS Model segmentation performed with an overall Dice score of 0.901 (0.946 in hydrocephalus, 0.856 in controls). The model generalized to external MR images from a fifth pediatric hospital with a Dice score of 0.926. The model was more accurate than FreeSurfer, with faster operating times (1.48 seconds per scan). CONCLUSIONS The authors present a DL model for automatic ventricle segmentation and volume calculation that is more accurate and rapid than currently available methods. With near-immediate volumetric output and reliable performance across institutional scanner types, this model can be adapted to the real-time clinical evaluation of hydrocephalus and improve clinician workflow.
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Affiliation(s)
- Jennifer L. Quon
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
| | - Michelle Han
- Stanford University School of Medicine, Stanford, California
| | - Lily H. Kim
- Stanford University School of Medicine, Stanford, California
| | - Mary Ellen Koran
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Leo C. Cheng
- Department of Urology, Stanford University School of Medicine, Stanford, California
| | - Edward H. Lee
- Department of Electrical Engineering, Stanford University, Stanford, California
| | - Jason Wright
- Department of Radiology, Seattle Children’s Hospital, University of Washington School of Medicine, Seattle, Washington
| | - Vijay Ramaswamy
- Department of Neurosurgery, The Hospital for Sick Children, University of Toronto, Ontario, Canada
| | - Robert M. Lober
- Department of Neurosurgery, Dayton Children’s Hospital, Wright State University Boonshoft School of Medicine, Dayton, Ohio
| | - Michael D. Taylor
- Department of Neurosurgery, University of Utah School of Medicine, Salt Lake City, Utah
| | - Gerald A. Grant
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
| | - Samuel H. Cheshier
- Department of Neurosurgery, University of Utah School of Medicine, Salt Lake City, Utah
| | - John R. W. Kestle
- Department of Neurosurgery, University of Utah School of Medicine, Salt Lake City, Utah
| | - Michael S.B. Edwards
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
| | - Kristen W. Yeom
- Division of Pediatric Neurosurgery, Lucile Packard Children’s Hospital, Stanford, California
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Marin JR, Rodean J, Hall M, Alpern ER, Aronson PL, Chaudhari PP, Cohen E, Freedman SB, Morse RB, Peltz A, Samuels-Kalow M, Shah SS, Simon HK, Neuman MI. Trends in Use of Advanced Imaging in Pediatric Emergency Departments, 2009-2018. JAMA Pediatr 2020; 174:e202209. [PMID: 32761186 PMCID: PMC7400208 DOI: 10.1001/jamapediatrics.2020.2209] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Importance There is increased awareness of radiation risks from computed tomography (CT) in pediatric patients. In emergency departments (EDs), evidence-based guidelines, improvements in imaging technology, and availability of nonradiating modalities have potentially reduced CT use. Objective To evaluate changes over time and hospital variation in advanced imaging use. Design, Setting, and Participants This cross-sectional study assessed 26 082 062 ED visits by children younger than 18 years from the Pediatric Health Information System administrative database from January 1, 2009, through December 31, 2018. Exposures Imaging. Main Outcomes and Measures The primary outcome was the change in CT, ultrasonography, and magnetic resonance imaging (MRI) rates from January 1, 2009, to December 31, 2018. Imaging for specific diagnoses was examined using all patient-refined diagnosis related groups. Secondary outcomes were hospital admission and 3-day ED revisit rates and ED length of stay. Results There were a total of 26 082 062 visits by 9 868 406 children (mean [SD] age, 5.59 [5.15] years; 13 842 567 [53.1%] male; 9 273 181 [35.6%] non-Hispanic white) to 32 US pediatric EDs during the 10-year study period, with 1 or more advanced imaging studies used in 1 919 283 encounters (7.4%). The proportion of ED encounters with any advanced imaging increased from 6.4% (95% CI, 6.2%-6.2%) in 2009 to 8.7% (95% CI, 8.7%-8.8%) in 2018. The proportion of ED encounters with CT decreased from 3.9% (95% CI, 3.9%-3.9%) to 2.9% (95% CI, 2.9%-3.0%) (P < .001 for trend), with ultrasonography increased from 2.5% (95% CI, 2.5%-2.6%) to 5.8% (95% CI, 5.8%-5.9%) (P < .001 for trend), and with MRI increased from 0.3% (95% CI, 0.3%-0.4%) to 0.6% (95% CI, 0.6%-0.6%) (P < .001 for trend). The largest decreases in CT rates were for concussion (-23.0%), appendectomy (-14.9%), ventricular shunt procedures (-13.3%), and headaches (-12.4%). Factors associated with increased use of nonradiating imaging modalities included ultrasonography for abdominal pain (20.3%) and appendectomy (42.5%) and MRI for ventricular shunt procedures (17.9%) (P < .001 for trend). Across the study period, EDs varied widely in the use of ultrasonography for appendectomy (median, 57.5%; interquartile range [IQR], 40.4%-69.8%) and MRI (median, 15.8%; IQR, 8.3%-35.1%) and CT (median, 69.5%; IQR, 54.5%-76.4%) for ventricular shunt procedures. Overall, ED length of stay did not change, and hospitalization and 3-day ED revisit rates decreased during the study period. Conclusions and Relevance This study found that use of advanced imaging increased from 2009 to 2018. Although CT use decreased, this decrease was accompanied by a greater increase in the use of ultrasonography and MRI. There appears to be substantial variation in practice and a need to standardize imaging practices.
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Affiliation(s)
- Jennifer R. Marin
- Division of Pediatric Emergency Medicine, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Matt Hall
- Children’s Hospital Association, Lenexa, Kansas
| | - Elizabeth R. Alpern
- Division of Emergency Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Paul L. Aronson
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut,Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Pradip P. Chaudhari
- Division of Emergency and Transport Medicine, Children’s Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles
| | - Eyal Cohen
- Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Stephen B. Freedman
- Alberta Children’s Hospital Research Institute, Alberta Children’s Hospital, University of Calgary, Calgary, Alberta, Canada ,Sections of Pediatric Emergency Medicine and Gastroenterology, Department of Pediatrics, Alberta Children’s Hospital, University of Calgary, Calgary, Alberta, Canada
| | - Rustin B. Morse
- Department of Pediatrics, Nationwide Children’s Hospital, Columbus, Ohio
| | - Alon Peltz
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | | | - Samir S. Shah
- Division of Hospital Medicine, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,Division of Infectious Diseases, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Harold K. Simon
- Department of Pediatrics, Emory University School of Medicine, Children’s Healthcare of Atlanta, Atlanta, Georgia,Department of Emergency Medicine, Emory University School of Medicine, Children’s Healthcare of Atlanta, Atlanta, Georgia
| | - Mark I. Neuman
- Division of Emergency Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
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6
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Harbert A, Bradford K, Ritter V, Northam WT, Quinsey C. National Imaging Trends in Pediatric Traumatic Brain Injury and Hydrocephalus. World Neurosurg 2020; 139:e399-e405. [PMID: 32305606 DOI: 10.1016/j.wneu.2020.04.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 03/31/2020] [Accepted: 04/02/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVE Reduction in use of computed tomography (CT) in favor of rapid-sequence magnetic resonance imaging (MRI) to decrease pediatric radiation exposure has varied across institutions in the United States. The aims of this study were to understand national trends in CT and rapid-sequence MRI usage and identify variables affecting imaging practices and obstacles to CT reduction. METHODS This was a retrospective review of deidentified discharge data for children with hydrocephalus and traumatic brain injury (TBI) in the Healthcare Cost and Utilization Project Kids' Inpatient Database in 2000, 2003, 2006, 2009, 2012, and 2016. Utilization of MRI without contrast and CT was extracted using International Classification of Diseases, Ninth Revision, and International Classification of Diseases, Tenth Revision, codes. Hospital region and age cohorts were extracted and used to categorize data. χ2 tests and logistic regression were used for analysis. RESULTS Hospitalizations utilizing CT decreased (P < 0.05) and hospitalizations utilizing MRI increased (P < 0.05) overall in both diagnosis groups throughout the years analyzed. However, there was significant regional variation in imaging. The Northeast had higher CT rates (P < 0.05) and the South had lower CT rates in patients with hydrocephalus and TBI (P < 0.05). No regional variation was found for rates of MRI use in patients with TBI. CONCLUSIONS Nationwide, the average number of discharges after hospitalizations utilizing CT in patients with hydrocephalus and TBI has decreased, while discharges after hospitalizations utilizing MRI as an alternative imaging modality have increased. Despite successful overall CT reduction, significant regional variation exists within this trend showing inconsistent reduction of CT use.
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Affiliation(s)
- Allie Harbert
- School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Kathleen Bradford
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Victor Ritter
- Department of Biostatistics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Weston T Northam
- Department of Neurosurgery, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Carolyn Quinsey
- Department of Neurosurgery, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
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7
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Pediatric Emergency MRI: What You Need to Know to Make It Through the Night. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0248-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Abstract
Point-of-care ultrasound has become a valuable tool for pediatric emergency physicians, with an increasing number of indications being described. In this case presentation, we demonstrate the use of point-of-care ultrasound in the pediatric emergency department to diagnose ventriculomegaly in an infant presenting with a seizure.
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Antonucci MC, Zuckerbraun NS, Tyler-Kabara EC, Furtado AD, Murphy ME, Marin JR. The Burden of Ionizing Radiation Studies in Children with Ventricular Shunts. J Pediatr 2017; 182:210-216.e1. [PMID: 27989409 DOI: 10.1016/j.jpeds.2016.11.051] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2016] [Revised: 09/27/2016] [Accepted: 11/11/2016] [Indexed: 01/05/2023]
Abstract
OBJECTIVES To quantify the number of shunt-related imaging studies that patients with ventricular shunts undergo and to calculate the proportion of computed tomography (CT) scans associated with a surgical intervention. STUDY DESIGN Retrospective longitudinal cohort analysis of patients up to age 22 years with a shunt placed January 2002 through December 2003 at a pediatric hospital. Primary outcome was the number of head CT scans, shunt series radiograph, skull radiographs, nuclear medicine, and brain magnetic resonance imaging studies for 10 years following shunt placement. Secondary outcome was surgical interventions performed within 7 days of a head CT. Descriptive statistics were used for analysis. RESULTS Patients (n = 130) followed over 10 years comprised the study cohort. The most common reasons for shunt placement were congenital hydrocephalus (30%), obstructive hydrocephalus (19%), and atraumatic hemorrhage (18%), and 97% of shunts were ventriculoperitoneal. Patients underwent a median of 8.5 head CTs, 3.0 shunt series radiographs, 1.0 skull radiographs, 0 nuclear medicine studies, and 1.0 brain magnetic resonance imaging scans over the 10 years following shunt placement. The frequency of head CT scans was greatest in the first year after shunt placement (median 2.0 CTs). Of 1411 head CTs in the cohort, 237 resulted in surgical intervention within 7 days (17%, 95% CI 15%-19%). CONCLUSIONS Children with ventricular shunts have been exposed to large numbers of imaging studies that deliver radiation and most do not result in a surgical procedure. This suggests a need to improve the process of evaluating for ventricular shunt malfunction and minimize radiation exposure.
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Affiliation(s)
- Maria C Antonucci
- Department of Pediatrics, Division of Pediatric Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
| | - Noel S Zuckerbraun
- Department of Pediatrics, Division of Pediatric Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Elizabeth C Tyler-Kabara
- Department of Neurological Surgery, Division of Pediatric Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Andre D Furtado
- Department of Radiology, Division of Pediatric Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Meghan E Murphy
- Department of Pediatrics, Division of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Jennifer R Marin
- Department of Pediatrics, Division of Pediatric Emergency Medicine and Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
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