Literature DB >> 28658873

Detection and Differentiation of Focal Intracranial Calcifications and Chronic Microbleeds Using MRI.

Rajiv Azad1, Priyanka Mittal2, Ankur Malhotra3, Sharad Gangrade4.   

Abstract

INTRODUCTION: Differentiating calcification from chronic micro-bleeds on imaging may have important clinical implications. AIM: The present study aimed to evaluate the role and relative advantages of Magnetic Resonance Imaging (MRI) in the detection and differentiation of intracranial calcifications and chronic microbleeds.
MATERIALS AND METHODS: The retrospective study comprised of 100 patients having either intracranial calcifications or microhaemorrhages selected on the basis of Computerized Tomography (CT) and MRI using predefined criteria. Two independent blinded observers evaluated the images qualitatively and quantitatively. Single pixel values were taken in the circular Region of Interest (ROI) on magnitude SWI, phase Susceptibility Weighted Imaging (SWI) and Diffusion Weighted Imaging (DWI) for quantitative analysis.
RESULTS: Fifty patients with 76 focal calcifications and another 50 patients with 245 chronic microbleeds formed part of the study. Overall sensitivity of SWI in detection of calcification was 93.9% with good inter observer agreeability (k= 0.7) on phase SWI. All the chronic microbleeds were seen on SWI but there was only moderate inter observer agreeability in evaluation of signal on phase component (k= 0.5). Average pixel values of calcifications and chronic microbleeds were -312.5±187 SD and 541.9±301.7 SD respectively on phase SWI, (p=0.0001, <0.05).
CONCLUSION: SWI can play a pivotal role in the detection of intracranial calcifications and chronic microbleeds and resolving the ambiguity in their diagnosis.

Entities:  

Keywords:  Artifacts; Brain; Susceptibility weighted imaging

Year:  2017        PMID: 28658873      PMCID: PMC5483775          DOI: 10.7860/JCDR/2017/24076.9846

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  25 in total

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Authors:  M Zulfiqar; N Dumrongpisutikul; J Intrapiromkul; D M Yousem
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2.  The detection of intracranial calcifications by MR.

Authors:  R F Oot; P F New; J Pile-Spellman; B R Rosen; G M Shoukimas; K R Davis
Journal:  AJNR Am J Neuroradiol       Date:  1986 Sep-Oct       Impact factor: 3.825

Review 3.  MR pulse sequences: what every radiologist wants to know but is afraid to ask.

Authors:  Richard Bitar; General Leung; Richard Perng; Sameh Tadros; Alan R Moody; Josee Sarrazin; Caitlin McGregor; Monique Christakis; Sean Symons; Andrew Nelson; Timothy P Roberts
Journal:  Radiographics       Date:  2006 Mar-Apr       Impact factor: 5.333

4.  Understanding changes in DTI metrics in patients with different stages of neurocysticercosis.

Authors:  Rakesh K Gupta; Richa Trivedi; Rishi Awasthi; Vimal K Paliwal; Kashi N Prasad; Ram K S Rathore
Journal:  Magn Reson Imaging       Date:  2011-09-19       Impact factor: 2.546

5.  Computing diffusion rates in T2-dark hematomas and areas of low T2 signal.

Authors:  J A Maldjian; J Listerud; G Moonis; F Siddiqi
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

6.  Semiautomated detection of cerebral microbleeds in magnetic resonance images.

Authors:  Samuel R S Barnes; E Mark Haacke; Muhammad Ayaz; Alexander S Boikov; Wolff Kirsch; Dan Kido
Journal:  Magn Reson Imaging       Date:  2011-05-14       Impact factor: 2.546

7.  Magnetic resonance susceptibility weighted imaging in detecting intracranial calcification and hemorrhage.

Authors:  Wen-zhen Zhu; Jian-pin Qi; Chuan-jia Zhan; Hong-ge Shu; Lin Zhang; Cheng-yuan Wang; Li-ming Xia; Jun-wu Hu; Ding-yi Feng
Journal:  Chin Med J (Engl)       Date:  2008-10-20       Impact factor: 2.628

8.  Brain microbleeds are associated with ambulatory blood pressure levels in a hypertensive population.

Authors:  Léon H G Henskens; Robert J van Oostenbrugge; Abraham A Kroon; Peter W de Leeuw; Jan Lodder
Journal:  Hypertension       Date:  2007-12-10       Impact factor: 10.190

9.  Peritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumors.

Authors:  Stanley Lu; Daniel Ahn; Glyn Johnson; Soonmee Cha
Journal:  AJNR Am J Neuroradiol       Date:  2003-05       Impact factor: 3.825

10.  Susceptibility weighted imaging: differentiating between calcification and hemosiderin.

Authors:  Jeam Haroldo Oliveira Barbosa; Antonio Carlos Santos; Carlos Ernesto Garrido Salmon
Journal:  Radiol Bras       Date:  2015 Mar-Apr
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