Literature DB >> 25479962

Quantification of structural cerebral abnormalities on MRI 18 months after aneurysmal subarachnoid hemorrhage in patients who received endovascular treatment.

Jeroen de Bresser1, Joanna D Schaafsma, Merel J A Luitse, Max A Viergever, Gabriel J E Rinkel, Geert Jan Biessels.   

Abstract

INTRODUCTION: Volume measurements performed on brain MRI after aneurysmal subarachnoid hemorrhage (aSAH) may provide insight into the structural abnormalities that underlie the commonly occurring and persistent long-term functional deficits after aSAH. We examined the pattern of long-term cerebral structural changes on MRI in relation to known risk factors for poor functional outcome.
METHODS: We studied MRI scans from 38 patients who received endovascular treatment and were not dependent for activities of daily life at 18 months after aSAH. Risk factors for poor functional outcome (clinical condition, Hijdra score, and bicaudate index on admission; occurrence of hydrocephalus or delayed cerebral infarction during hospitalization) were related to supratentorial cerebral parenchymal and lateral ventricular volumes on MRI with linear regression analyses adjusted for age, sex, and intracranial volume.
RESULTS: Clinical condition, Hijdra score, and bicaudate index on admission were not related to cerebral parenchymal volume at 18 months. A higher bicaudate index on admission was related to lateral ventricular enlargement at 18 months after aSAH (Beta; 95%CI: 0.51; 0.14↔0.88). Delayed cerebral infarction was related to smaller cerebral parenchymal volumes (-0.14; -0.25↔-0.04) and to lateral ventricular enlargement (0.49; 0.16↔0.83) at 18 months.
CONCLUSION: Volume measurements of the brain are able to quantify patterns of long-term cerebral damage in relation to different risk factors after aSAH. Application of volumetric techniques may provide more insight into the heterogeneous underlying pathophysiological processes. After confirmation of these results in larger studies, volumetric measures might even be used as outcome measures in future treatment studies.

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Year:  2014        PMID: 25479962     DOI: 10.1007/s00234-014-1472-6

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  13 in total

1.  A comparison of MR based segmentation methods for measuring brain atrophy progression.

Authors:  Jeroen de Bresser; Marileen P Portegies; Alexander Leemans; Geert Jan Biessels; L Jaap Kappelle; Max A Viergever
Journal:  Neuroimage       Date:  2010-10-01       Impact factor: 6.556

2.  Intracranial aneurysms treated with coil placement: test characteristics of follow-up MR angiography--multicenter study.

Authors:  Joanna D Schaafsma; Birgitta K Velthuis; Charles B L M Majoie; René van den Berg; Patrick A Brouwer; Frederik Barkhof; Omid Eshghi; Gerard A P de Kort; Rob T H Lo; Theo D Witkamp; Marieke E S Sprengers; Marianne A van Walderveen; Joseph C Bot; Esther Sanchez; W Peter Vandertop; Jan van Gijn; Erik Buskens; Yolanda van der Graaf; Gabriël J E Rinkel
Journal:  Radiology       Date:  2010-05-26       Impact factor: 11.105

3.  Subarachnoid hemorrhage treated with clipping: long-term effects on employment, relationships, personality, and mood.

Authors:  Marieke J H Wermer; Hieke Kool; Kees W Albrecht; Gabriël J E Rinkel
Journal:  Neurosurgery       Date:  2007-01       Impact factor: 4.654

Review 4.  Subarachnoid haemorrhage.

Authors:  Jan van Gijn; Richard S Kerr; Gabriel J E Rinkel
Journal:  Lancet       Date:  2007-01-27       Impact factor: 79.321

5.  Brain atrophy and neuropsychological outcome after treatment of ruptured anterior cerebral artery aneurysms: a voxel-based morphometric study.

Authors:  Paula Bendel; Timo Koivisto; Eini Niskanen; Mervi Könönen; Marja Aikiä; Tuomo Hänninen; Päivi Koskenkorva; Ritva Vanninen
Journal:  Neuroradiology       Date:  2009-07-01       Impact factor: 2.804

6.  Interobserver agreement for the assessment of handicap in stroke patients.

Authors:  J C van Swieten; P J Koudstaal; M C Visser; H J Schouten; J van Gijn
Journal:  Stroke       Date:  1988-05       Impact factor: 7.914

7.  Quantification of cerebral volumes on MRI 6 months after aneurysmal subarachnoid hemorrhage.

Authors:  Jeroen de Bresser; Koen L Vincken; Anne J Kaspers; Gabriel J E Rinkel; Max A Viergever; Geert Jan Biessels
Journal:  Stroke       Date:  2012-08-28       Impact factor: 7.914

8.  Grading the amount of blood on computed tomograms after subarachnoid hemorrhage.

Authors:  A Hijdra; P J Brouwers; M Vermeulen; J van Gijn
Journal:  Stroke       Date:  1990-08       Impact factor: 7.914

9.  Health outcomes 1 year after subarachnoid hemorrhage: An international population-based study. The Australian Cooperative Research on Subarachnoid Hemorrhage Study Group.

Authors:  M L Hackett; C S Anderson
Journal:  Neurology       Date:  2000-09-12       Impact factor: 9.910

10.  Atrophic enlargement of CSF volume after subarachnoid hemorrhage: correlation with neuropsychological outcome.

Authors:  P Bendel; T Koivisto; M Aikiä; E Niskanen; M Könönen; T Hänninen; R Vanninen
Journal:  AJNR Am J Neuroradiol       Date:  2009-11-26       Impact factor: 3.825

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  3 in total

1.  Magnetic Resonance Imaging in Aneurysmal Subarachnoid Hemorrhage: Current Evidence and Future Directions.

Authors:  Sarah E Nelson; Haris I Sair; Robert D Stevens
Journal:  Neurocrit Care       Date:  2018-10       Impact factor: 3.210

2.  Gray-to-white matter ratio predicts long-term recovery potential of patients with aneurysmal subarachnoid hemorrhage.

Authors:  Achmet Ali; Burcu Bitir; Taner Abdullah; Pulat Akin Sabanci; Yavuz Aras; Aydin Aydoseli; Gamze Tanirgan; Serra Sencer; Ibrahim Ozkan Akinci
Journal:  Neurosurg Rev       Date:  2018-09-22       Impact factor: 3.042

Review 3.  Hydrocephalus after Subarachnoid Hemorrhage: Pathophysiology, Diagnosis, and Treatment.

Authors:  Sheng Chen; Jinqi Luo; Cesar Reis; Anatol Manaenko; Jianmin Zhang
Journal:  Biomed Res Int       Date:  2017-03-08       Impact factor: 3.411

  3 in total

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