Literature DB >> 10473978

Multiple brain infarcts: clinical and neuroimaging patterns using diffusion-weighted magnetic resonance.

M Altieri1, R J Metz, C Müller, P Maeder, R Meuli, J Bogousslavsky.   

Abstract

The capability of diffusion-weighted (DW) magnetic resonance imaging (MRI) to identify very early ischemic brain injury better than conventional MRI is well known. This technique, which successfully discriminates acute from old infarcts, is particularly useful in patients with multiple brain infarcts (MBI). Among 142 patients with acute stroke consecutively admitted to our primary care center, we selected 43 patients with two or more brain infarcts on conventional MRI. All patients presented with clinical deficits consistent with acute cerebral ischemia and underwent conventional spin echo for T(1) (T1-WI) and T(2)-weighted images (T2-WI), T(1)-W gadolinium-enhanced images, and echo-planar technique for DW MRI sequences. Patients underwent DW MRI examinations within 15 days of stroke onset (mean +/- SD: 3 +/- 3 days). In all but 1 case, the infarcts detected on DW MRI were also visible on T2-WI. The different signal pattern on DW MRI, compared with T2-WI, facilitated the detection of acute infarcts in all patients. T1-WI with gadolinium enhancement was only helpful in 5 (11.6%) patients. DW MRI enabled precise clinicotopographic correlations in 79% of our patients and provided additional clinically relevant findings in 72% of the patients. Based on the neuroradiological findings, patients were divided into three clinicotopographic types of MBI as follows: 13 patients (30.2%) presented with multiple acute infarcts, 24 patients (55.8%) with a single acute infarct and multiple old infarcts, and 6 patients (13.9%) with multiple acute and old infarcts. In conclusion, DW MRI can easily be added to conventional MRI in order to be able to distinguish acute from old infarcts, and to identify acute multiple lesions. Therefore, a better correlation between clinical symptoms and the site of lesions can be obtained, considerably improving patient care.

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Year:  1999        PMID: 10473978     DOI: 10.1159/000069415

Source DB:  PubMed          Journal:  Eur Neurol        ISSN: 0014-3022            Impact factor:   1.710


  6 in total

1.  Mechanisms of bihemispheric brain infarctions in the anterior circulation on diffusion-weighted images.

Authors:  Kozue Saito; Hiroshi Moriwaki; Hiroshi Oe; Kotaro Miyashita; Kazuyuki Nagatsuka; Satoshi Ueno; Hiroaki Naritomi
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

2.  Diffusion weighted imaging, apparent diffusion coefficient maps and stroke etiology.

Authors:  L H Bonati; P A Lyrer; S G Wetzel; A J Steck; S T Engelter
Journal:  J Neurol       Date:  2005-06-17       Impact factor: 4.849

3.  The Relationship between Diffusion-Weighted Magnetic Resonance Imaging Lesions and 24-Hour Rhythm Holter Findings in Patients with Cryptogenic Stroke.

Authors:  Muhammet Gürdoğan; Sezgin Kehaya; Selçuk Korkmaz; Servet Altay; Uğur Özkan; Çağlar Kaya
Journal:  Medicina (Kaunas)       Date:  2019-02-04       Impact factor: 2.430

4.  Bihemispheric ischemic strokes in patients with COVID-19.

Authors:  Christeena Kurian; Stephan Mayer; Gurmeen Kaur; Ramandeep Sahni; Eric Feldstein; Mena Samaan; Divya Viswanathan; Tamarah Sami; Syed Faizan Ali; Hussein Al-Shammari; Jessica Bloomfield; Michelle Bravo; Rolla Nuoman; Edwin Gulko; Chirag D Gandhi; Fawaz Al-Mufti
Journal:  Brain Circ       Date:  2022-03-21

5.  Distribution of ischemic infarction and stenosis of intra- and extracranial arteries in young Chinese patients with ischemic stroke.

Authors:  Rajeev Ojha; Dongya Huang; Hedi An; Rong Liu; Cui Du; Nan Shen; Zhilan Tu; Ying Li
Journal:  BMC Cardiovasc Disord       Date:  2015-11-23       Impact factor: 2.298

6.  Significance of Multiple Acute Ischemic Lesions on Initial Diffusion-weighted Imaging in Stroke Patients and Relation of Toast Classification.

Authors:  Ufuk Sener; Levent Ocek; Irem Ilgezdi; Hilal Sahin; Murat Ozcelik; Yasar Zorlu
Journal:  Ann Indian Acad Neurol       Date:  2018 Jul-Sep       Impact factor: 1.383

  6 in total

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