Literature DB >> 25477356

Computer-assisted volumetric measurement of core infarct volume in pediatric patients: feasibility for clinical use and development of quantitative metrics for outcome prediction.

C G Filippi1, A M El-Ali2, V Z Miloushev2, D S Chow2, X Guo2, B Zhao2.   

Abstract

BACKGROUND AND
PURPOSE: Infarct volume may predict clinical outcome in acute stroke, but manual segmentation techniques limit its routine use. We hypothesized that computer-assisted volumetric analysis to quantify acute infarct volume will show no difference compared with manual segmentation but will show increased speed of performance and will correlate with outcome.
MATERIALS AND METHODS: Patients with acute stroke younger than 18 years were included. Infarct volume on diffusion-weighted imaging was quantified by using computer-assisted volumetric and manual techniques. The Pediatric Stroke Outcome Measure scored clinical outcome. Computer-assisted volumetric and manual techniques were compared with correlation coefficients. Linear regression analysis compared Pediatric Stroke Outcome Measure with core infarct volume and percentage volume of brain infarction.
RESULTS: Twenty-three patients were analyzed (mean age, 4.6 years). Mean infarct volume from computer-assisted volumetric and manual approaches was 65.6 and 63.7 mL, respectively (P = .56). Concordance correlation between methods was 0.980, and between users, 0.968. The mean times for segmentation between computer-assisted volumetric and manual techniques were <1 minute and 7.3 minutes (P < .001). The mean infarct volumes for good and poor outcome groups were 7.4 and 75.7 mL (P < .007). The mean percentages of infarcted brain parenchyma for good and poor outcome groups were 0.6% and 10.4% (P < .006). Volumes of 32 mL and 3% for infarcted brain were associated with poor outcome in all patients.
CONCLUSIONS: Computer-assisted volumetric quantification of infarct volume is reproducible, is significantly faster than manual techniques, and may have important applications for future clinical workflow. Core infarct volumes and infarct percentage correlated with outcome severity.
© 2015 by American Journal of Neuroradiology.

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Mesh:

Year:  2014        PMID: 25477356      PMCID: PMC7964329          DOI: 10.3174/ajnr.A4183

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  26 in total

1.  Delay to diagnosis in acute pediatric arterial ischemic stroke.

Authors:  Mubeen F Rafay; Ann-Marie Pontigon; Jackie Chiang; Margaret Adams; D Anna Jarvis; Frank Silver; Daune Macgregor; Gabrielle A Deveber
Journal:  Stroke       Date:  2008-09-18       Impact factor: 7.914

2.  Stroke in young adults: on the rise?

Authors:  Sally Sultan; Mitchell S V Elkind
Journal:  Neurology       Date:  2012-10-10       Impact factor: 9.910

3.  Trends in incidence, lifetime risk, severity, and 30-day mortality of stroke over the past 50 years.

Authors:  Raphael Carandang; Sudha Seshadri; Alexa Beiser; Margaret Kelly-Hayes; Carlos S Kase; William B Kannel; Philip A Wolf
Journal:  JAMA       Date:  2006-12-27       Impact factor: 56.272

4.  Age at stroke: temporal trends in stroke incidence in a large, biracial population.

Authors:  Brett M Kissela; Jane C Khoury; Kathleen Alwell; Charles J Moomaw; Daniel Woo; Opeolu Adeoye; Matthew L Flaherty; Pooja Khatri; Simona Ferioli; Felipe De Los Rios La Rosa; Joseph P Broderick; Dawn O Kleindorfer
Journal:  Neurology       Date:  2012-10-10       Impact factor: 9.910

5.  Lesion volume, lesion location, and outcome after middle cerebral artery territory stroke.

Authors:  V Ganesan; V Ng; W K Chong; F J Kirkham; A Connelly
Journal:  Arch Dis Child       Date:  1999-10       Impact factor: 3.791

Review 6.  Outcome measures used in pediatric stroke studies: a systematic review.

Authors:  Kyle A Engelmann; Lori C Jordan
Journal:  Arch Neurol       Date:  2012-01

7.  Trends in stroke hospitalizations and associated risk factors among children and young adults, 1995-2008.

Authors:  Mary G George; Xin Tong; Elena V Kuklina; Darwin R Labarthe
Journal:  Ann Neurol       Date:  2011-09-02       Impact factor: 10.422

8.  Longitudinal magnetic resonance imaging study of perfusion and diffusion in stroke: evolution of lesion volume and correlation with clinical outcome.

Authors:  C Beaulieu; A de Crespigny; D C Tong; M E Moseley; G W Albers; M P Marks
Journal:  Ann Neurol       Date:  1999-10       Impact factor: 10.422

9.  The 5-year direct medical cost of neonatal and childhood stroke in a population-based cohort.

Authors:  M A Gardner; N K Hills; S Sidney; S C Johnston; H J Fullerton
Journal:  Neurology       Date:  2010-01-06       Impact factor: 9.910

Review 10.  Therapy in pediatric stroke.

Authors:  B Simma; I Höliner; J Luetschg
Journal:  Eur J Pediatr       Date:  2012-11-06       Impact factor: 3.183

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  2 in total

Review 1.  Imaging of Pediatric Stroke.

Authors:  Aashim Bhatia; Sumit Pruthi
Journal:  Indian J Pediatr       Date:  2016-02-27       Impact factor: 1.967

2.  Maternal Undernutrition Modulates Neonatal Rat Cerebrovascular Structure, Function, and Vulnerability to Mild Hypoxic-Ischemic Injury via Corticosteroid-Dependent and -Independent Mechanisms.

Authors:  Patsy Naomi Franco; Lara M Durrant; Coleen Doan; Desirelys Carreon; Alejandra Beltran; Amandine Jullienne; Andre Obenaus; William J Pearce
Journal:  Int J Mol Sci       Date:  2021-01-12       Impact factor: 5.923

  2 in total

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