Literature DB >> 23255534

Functional diffusion map as an imaging predictor of functional outcome in patients with primary intracerebral haemorrhage.

Y-H Tsai1, L-M Hsu, H-H Weng, M-H Lee, J-T Yang, C-P Lin.   

Abstract

OBJECTIVE: Predicting outcome in patients with primary intracerebral haemorrhage (ICH) in the acute stage can provide information to determine the best therapeutic and rehabilitation strategies. We prospectively investigated the predictive value of the functional diffusion map (fDM) in the acute stage of ICH.
METHODS: 47 patients with ICH were enrolled for clinical evaluation and MRI within 24 h of symptom onset and 5 days after ICH. Functional diffusion mapping prospectively monitored the apparent diffusion coefficient (ADC) maps of perihaematomal oedema. Consequently, the change in perihaematomal oedema was classified into three categories: increased, decreased, or no significant change. Clinical outcomes were evaluated 6 months after ICH according to the modified Rankin Scale. Correlation between clinical outcome and the fDMs was performed.
RESULTS: Among the clinical variables, thalamic haematoma, serum glucose level and National Institutes of Health Stroke Scale scores were significantly different between the good- and poor-outcome groups. The percentage of oedematous tissue undergoing significant change between baseline and Day 5 was also significantly different between the groups.
CONCLUSION: fDMs allow for spatial voxel-by-voxel tracking of changes in ADC values. It may be feasible to use fDMs to predict the functional outcome of patients with ICH during the acute stage. Advances in knowledge The use of fDMs for stroke study is demonstrated. fDMs may be more suitable to reflect the pathophysiological heterogeneity within oedemas and may facilitate another thinking process for imaging study of stroke and other neurological diseases.

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Year:  2013        PMID: 23255534      PMCID: PMC4651067          DOI: 10.1259/bjr.20110644

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  25 in total

1.  Diffusion-weighted MRI and proton MR spectroscopic imaging in the study of secondary neuronal injury after intracerebral hemorrhage.

Authors:  J R Carhuapoma; P Y Wang; N J Beauchamp; P M Keyl; D F Hanley; P B Barker
Journal:  Stroke       Date:  2000-03       Impact factor: 7.914

2.  Evaluation of acute perihematomal regional apparent diffusion coefficient abnormalities by diffusion-weighted imaging.

Authors:  E Fainardi; M Borrelli; A Saletti; R Schivalocchi; M Russo; C Azzini; M Cavallo; S Ceruti; R Tamarozzi; A Chieregato
Journal:  Acta Neurochir Suppl       Date:  2006

3.  Significance of perihematomal edema in acute intracerebral hemorrhage: the INTERACT trial.

Authors:  H Arima; J G Wang; Y Huang; E Heeley; C Skulina; M W Parsons; B Peng; Q Li; S Su; Q L Tao; Y C Li; J D Jiang; L W Tai; J L Zhang; E Xu; Y Cheng; L B Morgenstern; J Chalmers; C S Anderson
Journal:  Neurology       Date:  2009-12-08       Impact factor: 9.910

4.  MRI profile of the perihematomal region in acute intracerebral hemorrhage.

Authors:  Jean-Marc Olivot; Michael Mlynash; Jonathan T Kleinman; Matus Straka; Chitra Venkatasubramanian; Roland Bammer; Michael E Moseley; Gregory W Albers; Christine A C Wijman
Journal:  Stroke       Date:  2010-10-14       Impact factor: 7.914

5.  Relationships between infarct growth, clinical outcome, and early recanalization in diffusion and perfusion imaging for understanding stroke evolution (DEFUSE).

Authors:  Jean-Marc Olivot; Michael Mlynash; Vincent N Thijs; Stephanie Kemp; Maarten G Lansberg; Lawrence Wechsler; Gottfried Schlaug; Roland Bammer; Michael P Marks; Gregory W Albers
Journal:  Stroke       Date:  2008-06-19       Impact factor: 7.914

6.  Temporal evolution of diffusion after spontaneous supratentorial intracranial hemorrhage.

Authors:  Ayeesha K Kamal; Jonathan P Dyke; Jeffrey M Katz; Bernardo Liberato; Christopher G Filippi; Robert D Zimmerman; Aziz M Ulug
Journal:  AJNR Am J Neuroradiol       Date:  2003-05       Impact factor: 3.825

7.  Perihematomal edema in primary intracerebral hemorrhage is plasma derived.

Authors:  Ken S Butcher; Tracey Baird; Lachlan MacGregor; Patricia Desmond; Brian Tress; Stephen Davis
Journal:  Stroke       Date:  2004-06-03       Impact factor: 7.914

8.  Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival.

Authors:  Daniel A Hamstra; Craig J Galbán; Charles R Meyer; Timothy D Johnson; Pia C Sundgren; Christina Tsien; Theodore S Lawrence; Larry Junck; David J Ross; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
Journal:  J Clin Oncol       Date:  2008-06-09       Impact factor: 44.544

9.  Diffusion tensor tractography predicts motor functional outcome in patients with spontaneous intracerebral hemorrhage.

Authors:  Hideyuki Yoshioka; Toru Horikoshi; Shigeki Aoki; Masaaki Hori; Keiichi Ishigame; Mikito Uchida; Masao Sugita; Tsutomu Araki; Hiroyuki Kinouchi
Journal:  Neurosurgery       Date:  2008-01       Impact factor: 4.654

10.  Prospective validation of the ICH Score for 12-month functional outcome.

Authors:  J Claude Hemphill; Mary Farrant; Terry A Neill
Journal:  Neurology       Date:  2009-09-02       Impact factor: 9.910

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  4 in total

Review 1.  Intracerebral Hemorrhage Location and Functional Outcomes of Patients: A Systematic Literature Review and Meta-Analysis.

Authors:  Anirudh Sreekrishnan; Jennifer L Dearborn; David M Greer; Fu-Dong Shi; David Y Hwang; Audrey C Leasure; Sonya E Zhou; Emily J Gilmore; Charles C Matouk; Nils H Petersen; Lauren H Sansing; Kevin N Sheth
Journal:  Neurocrit Care       Date:  2016-12       Impact factor: 3.210

2.  Influence of Intracerebral Hemorrhage Location on Outcomes in Patients With Severe Intraventricular Hemorrhage.

Authors:  Vahid Eslami; Pouya Tahsili-Fahadan; Lucia Rivera-Lara; Dheeraj Gandhi; Hasan Ali; Adrian Parry-Jones; Lilli S Nelson; Richard E Thompson; Saman Nekoobakht-Tak; Rachel Dlugash; Nichol McBee; Isaam Awad; Daniel F Hanley; Wendy C Ziai
Journal:  Stroke       Date:  2019-06-10       Impact factor: 7.914

3.  A Pilot Study of Quantitative MRI Parametric Response Mapping of Bone Marrow Fat for Treatment Assessment in Myelofibrosis.

Authors:  Gary D Luker; Huong Marie Nguyen; Benjamin A Hoff; Craig J Galbán; Diego Hernando; Thomas L Chenevert; Moshe Talpaz; Brian D Ross
Journal:  Tomography       Date:  2016-03

4.  Evaluation of Parametric Response Mapping to Assess Therapeutic Response to Human Mesenchymal Stem Cells after Experimental Stroke.

Authors:  Rui He; Anaïck Moisan; Olivier Detante; Chantal Rémy; Alexandre Krainik; Emmanuel Luc Barbier; Benjamin Lemasson
Journal:  Cell Transplant       Date:  2017-08       Impact factor: 4.064

  4 in total

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