Literature DB >> 25260552

Modeling the pattern of contrast extravasation in acute intracerebral hemorrhage using dynamic contrast-enhanced MR.

R Liu1, T J Huynh, Y Huang, D Ramsay, K Hynynen, R I Aviv.   

Abstract

BACKGROUND: Contrast extravasation (CE) in spontaneous intracerebral hemorrhage (ICH), coined the spot sign, predicts hematoma expansion (HE) and poor clinical outcome. The dynamic relationship between CE and the mode of ICH growth are poorly understood. We characterized the in vivo pattern and rate of HE using a novel animal model of acute ICH.
METHODS: Basal ganglia ICH was created in 14 Yorkshire swine utilizing a novel MRI integrated model, permitting real-time CE observation using dynamic contrast-enhanced (DCE) MRI. Computerized planimetry measured CE volume at each time point. Spatial vector analysis along three orthogonal axes determined distance vectors. Maximizing and minimizing the coefficient of determination defined the temporal phases of growth and stability, respectively. CE rate was calculated using a Patlak model.
RESULTS: Asymmetric growth and variable rates of expansion characterized HE defining three distinct growth phases and patterns. A primary growth phase (duration 160 s; IQR 50-130) demonstrated rapid linear growth (0.04 mm/s IQR 0.01-0.10) accounting for 85 ± 15 % of total HE. The stationary phase demonstrated stability (duration 145 s; IQR 0-655). A secondary growth phase (duration 300; 130-600 s) accounted for 23 ± 8 % of total HE. In the primary and secondary growth phase, asymmetric growth occurred in the anterior-posterior (AP) planes (0.056 mm/s; p = 0.026 and 0.0112 mm/s; p = 0.03). Monophasic 2 (14 %), biphasic 4 (35 %) (primary followed by secondary growth), and triphasic 8 (56 %) patterns (primary, stationary, and secondary growth phase) were observed.
CONCLUSIONS: A novel model of ICH provides real-time study of the dynamics and rate of CE. This data facilitates the understanding of pattern and rate of ICH formation.

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Year:  2015        PMID: 25260552     DOI: 10.1007/s12028-014-0071-z

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.210


  22 in total

1.  Early rate of contrast extravasation in patients with intracerebral hemorrhage.

Authors:  C D d'Esterre; T L Chia; A Jairath; T Y Lee; S P Symons; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2011-09-01       Impact factor: 3.825

2.  An in vivo, MRI-integrated real-time model of active contrast extravasation in acute intracerebral hemorrhage.

Authors:  R I Aviv; T Huynh; Y Huang; D Ramsay; P Van Slyke; D Dumont; P Asmah; R Alkins; R Liu; K Hynynen
Journal:  AJNR Am J Neuroradiol       Date:  2014-04-24       Impact factor: 3.825

3.  Magnetic resonance imaging characteristics at onset of spontaneous intracerebral hemorrhage.

Authors:  Daniel Jeong; Miral D Jhaveri; Shyam Prabhakaran
Journal:  Arch Neurol       Date:  2011-06

4.  The pattern and pace of hyperacute hemorrhage expansion.

Authors:  Brian L Edlow; Riley M Bove; Anand Viswanathan; Steven M Greenberg; Scott B Silverman
Journal:  Neurocrit Care       Date:  2012-10       Impact factor: 3.210

5.  Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American Heart Association/American Stroke Association.

Authors:  Lewis B Morgenstern; J Claude Hemphill; Craig Anderson; Kyra Becker; Joseph P Broderick; E Sander Connolly; Steven M Greenberg; James N Huang; R Loch MacDonald; Steven R Messé; Pamela H Mitchell; Magdy Selim; Rafael J Tamargo
Journal:  Stroke       Date:  2010-07-22       Impact factor: 7.914

6.  Dynamic nature of the CT angiographic "spot sign".

Authors:  S Chakraborty; D Blacquiere; C Lum; G Stotts
Journal:  Br J Radiol       Date:  2010-10       Impact factor: 3.039

7.  Correlation of microvascular permeability derived from dynamic contrast-enhanced MR imaging with histologic grade and tumor labeling index: a study in human brain tumors.

Authors:  H C Roberts; T P Roberts; A W Bollen; S Ley; R C Brasch; W P Dillon
Journal:  Acad Radiol       Date:  2001-05       Impact factor: 3.173

8.  Ongoing bleeding in acute intracerebral haemorrhage.

Authors:  Dar Dowlatshahi; Matthew J Hogan; Mukul Sharma; Grant Stotts; Dylan Blacquiere; Santanu Chakraborty
Journal:  Lancet       Date:  2012-09-21       Impact factor: 79.321

Review 9.  Ultra-early hemostatic therapy for intracerebral hemorrhage.

Authors:  Stephan A Mayer
Journal:  Stroke       Date:  2003-01       Impact factor: 7.914

10.  APOE genotype and extent of bleeding and outcome in lobar intracerebral haemorrhage: a genetic association study.

Authors:  Alessandro Biffi; Christopher D Anderson; Jeremiasz M Jagiella; Helena Schmidt; Brett Kissela; Björn M Hansen; Jordi Jimenez-Conde; Caroline R Pires; Alison M Ayres; Kristin Schwab; Lynelle Cortellini; Joanna Pera; Andrzej Urbanik; Javier M Romero; Natalia S Rost; Joshua N Goldstein; Anand Viswanathan; Alexander Pichler; Christian Enzinger; Raquel Rabionet; Bo Norrving; David L Tirschwell; Magdy Selim; Devin L Brown; Scott L Silliman; Bradford B Worrall; James F Meschia; Chelsea S Kidwell; Joseph P Broderick; Steven M Greenberg; Jaume Roquer; Arne Lindgren; Agnieszka Slowik; Reinhold Schmidt; Daniel Woo; Jonathan Rosand
Journal:  Lancet Neurol       Date:  2011-07-06       Impact factor: 44.182

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  5 in total

Review 1.  The Pathophysiology of Intracerebral Hemorrhage Formation and Expansion.

Authors:  Frieder Schlunk; Steven M Greenberg
Journal:  Transl Stroke Res       Date:  2015-06-16       Impact factor: 6.829

Review 2.  Assessing the Evolution of Intracranial Hematomas by using Animal Models: A Review of the Progress and the Challenges.

Authors:  Yihao Chen; Jianbo Chang; Junji Wei; Ming Feng; Renzhi Wang
Journal:  Metab Brain Dis       Date:  2021-08-21       Impact factor: 3.584

3.  The Patterns of Morphological Change During Intracerebral Hemorrhage Expansion: A Multicenter Retrospective Cohort Study.

Authors:  Chang Jianbo; Xiao Ting; Chen Yihao; Wang Xiaoning; Shang Hong; Zhang Qinghua; Ye Zeju; Wang Xingong; Tian Fengxuan; Chai Jianjun; Ma Wenbin; Wei Junji; Feng Ming; Jianhua Yao; Wang Renzhi
Journal:  Front Med (Lausanne)       Date:  2022-01-13

Review 4.  Relevance of Porcine Stroke Models to Bridge the Gap from Pre-Clinical Findings to Clinical Implementation.

Authors:  Marc Melià-Sorolla; Carlos Castaño; Núria DeGregorio-Rocasolano; Luis Rodríguez-Esparragoza; Antoni Dávalos; Octavi Martí-Sistac; Teresa Gasull
Journal:  Int J Mol Sci       Date:  2020-09-08       Impact factor: 5.923

5.  Prevalence and the predictive performance of the dynamic CT-angiography spot sign in an observational cohort with intracerebral hemorrhage.

Authors:  Dar Dowlatshahi; Hee Sahng Chung; Michael Reaume; Matthew J Hogan; Dylan Blacquiere; Grant Stotts; Michel Shamy; Franco Momoli; Richard Aviv; Andrew M Demchuk; Santanu Chakraborty
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

  5 in total

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