Literature DB >> 18275927

Imaging of intracranial haemorrhage.

Chelsea S Kidwell1, Max Wintermark.   

Abstract

Intracranial haemorrhage can be a devastating disorder that requires rapid diagnosis and management. Neuroimaging studies are not only required for diagnosis but also provide important insights into the type of haemorrhage, the underlying aetiology, and the accompanying pathophysiology. Historically, CT has been the diagnostic imaging study of choice; however, there is a growing body of data that suggest that MRI is at least as sensitive as CT to detect haemorrhage in the hyperacute setting, and superior to CT in the subacute and chronic settings. Blood has characteristic appearances on both imaging modalities at each stage (acute, subacute, and chronic) and it is important that physicians are familiar with the appearance of various types of intracranial haemorrhage on CT and MRI and their clinical implications. In addition, new imaging applications, such as magnetic resonance spectroscopy and diffusion tensor imaging, are promising research techniques that have the potential to enhance our understanding of the tissue injury and recovery that result from intracranial haemorrhage.

Entities:  

Mesh:

Year:  2008        PMID: 18275927     DOI: 10.1016/S1474-4422(08)70041-3

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  51 in total

Review 1.  Neuroimaging of hemorrhage and vascular defects.

Authors:  Fazeel M Siddiqui; Simon V Bekker; Adnan I Qureshi
Journal:  Neurotherapeutics       Date:  2011-01       Impact factor: 7.620

2.  Simultaneous detection and separation of hyperacute intracerebral hemorrhage and cerebral ischemia using amide proton transfer MRI.

Authors:  Meiyun Wang; Xiaohua Hong; Che-Feng Chang; Qiang Li; Bo Ma; Hong Zhang; Sinan Xiang; Hye-Young Heo; Yi Zhang; Dong-Hoon Lee; Shanshan Jiang; Richard Leigh; Raymond C Koehler; Peter C M van Zijl; Jian Wang; Jinyuan Zhou
Journal:  Magn Reson Med       Date:  2015-04-16       Impact factor: 4.668

3.  Three-dimensional susceptibility-weighted imaging and two-dimensional T2*-weighted gradient-echo imaging of intratumoral hemorrhages in pediatric diffuse intrinsic pontine glioma.

Authors:  Ulrike Löbel; Jan Sedlacik; Noah D Sabin; Mehmet Kocak; Alberto Broniscer; Claudia M Hillenbrand; Zoltán Patay
Journal:  Neuroradiology       Date:  2010-09-28       Impact factor: 2.804

Review 4.  [Patient selection for thrombolysis using perfusion and diffusion MRI. An overview].

Authors:  G Thomalla; P Ringleb; M Köhrmann; P D Schellinger
Journal:  Nervenarzt       Date:  2009-02       Impact factor: 1.214

5.  Fluid levels in the bleeding brain: a marker for coagulopathy and hematoma expansion.

Authors:  Mougnyan Cox; Solomon Bisangwa; Franziska Herpich; Angela Crudele; Carissa Pineda
Journal:  Intern Emerg Med       Date:  2017-01-13       Impact factor: 3.397

Review 6.  Intracranial hemorrhage.

Authors:  J Alfredo Caceres; Joshua N Goldstein
Journal:  Emerg Med Clin North Am       Date:  2012-08       Impact factor: 2.264

7.  Soft-tissue imaging with C-arm cone-beam CT using statistical reconstruction.

Authors:  Adam S Wang; J Webster Stayman; Yoshito Otake; Gerhard Kleinszig; Sebastian Vogt; Gary L Gallia; A Jay Khanna; Jeffrey H Siewerdsen
Journal:  Phys Med Biol       Date:  2014-02-07       Impact factor: 3.609

8.  Temporal evolution of intraparenchymal hyperdensity after intra-arterial therapy in patients with ischemic stroke: optimal discrimination between hemorrhage and iodinated contrast.

Authors:  O Khalilzadeh; B Sabel; Y Sung; A Parikh; C M Phan; J Dinkel; A J Yoo; J Romero; R Gupta
Journal:  Clin Neuroradiol       Date:  2014-01-30       Impact factor: 3.649

9.  [Spinal cord injury and syringomyelia].

Authors:  M Wolf; C H Fürstenberg; S Hähnel; M-A Weber
Journal:  Radiologe       Date:  2013-04       Impact factor: 0.635

10.  CD36-mediated hematoma absorption following intracerebral hemorrhage: negative regulation by TLR4 signaling.

Authors:  Huang Fang; Jing Chen; Sen Lin; PengFei Wang; YanChun Wang; XiaoYi Xiong; QingWu Yang
Journal:  J Immunol       Date:  2014-05-07       Impact factor: 5.422

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