Literature DB >> 12915196

Differential MRI diagnosis between brain abscesses and necrotic or cystic brain tumors using the apparent diffusion coefficient and normalized diffusion-weighted images.

Lydie Nadal Desbarats1, Sandra Herlidou, Giovanni de Marco, Catherine Gondry-Jouet, Daniel Le Gars, Hervé Deramond, Ilana Idy-Peretti.   

Abstract

Magnetic Resonance Diffusion-Weighted Imaging (DWI) has been reported to be helpful for the differential diagnosis between abscesses and cystic/necrotic brain tumors. However the number of patients is still limited, and the sensitivity and specificity of the method remain to be confirmed. The primary purpose of this study was to investigate a larger sample of patients, all investigated under the same experimental conditions, in order to obtain statistically significant data. Moreover, there is no consensus about the appropriate values of b required to use to make an accurate diagnosis from DWI. The secondary purpose of this study was to determine the discriminating threshold b values for raw diffusion-weighted images and for normalized diffusion-weighted images. On the basis of 14 abscesses, 10 high-grade gliomas and 2 metastases, we show that the calculation of accurate Apparent Diffusion Coefficient (ADC) values gives a specificity rate of 100%. Without ADC calculation, we show that image normalization is required to make an accurate differential diagnosis, and we highlight the ability of DWI to discriminate between brain abscesses and cystic/necrotic brain tumors using normalized signal intensity at lower b values (503 s/mm(2)) than usual.

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Year:  2003        PMID: 12915196     DOI: 10.1016/s0730-725x(03)00084-5

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  17 in total

1.  Limitations of diffusion-weighted imaging in distinguishing between a brain tumor and a central nervous system histoplasmoma.

Authors:  Justin S Smith; Alfredo Quiñones-Hinojosa; Joanna J Phillips; Andrew W Bollen; Michael W McDermott; Soonmee Cha
Journal:  J Neurooncol       Date:  2006-07-19       Impact factor: 4.130

2.  Apparent diffusion coefficient with higher b-value correlates better with viable cell count quantified from the cavity of brain abscess.

Authors:  V Tomar; A Yadav; R K S Rathore; S Verma; R Awasthi; V Bharadwaj; B K Ojha; K N Prasad; R K Gupta
Journal:  AJNR Am J Neuroradiol       Date:  2011-09-08       Impact factor: 3.825

3.  Serial diffusion-weighted MRI correlates with clinical course and treatment response in children with intracranial pus collections.

Authors:  Noel F Fanning; Eoghan E Laffan; Manohar M Shroff
Journal:  Pediatr Radiol       Date:  2005-11-11

4.  Clinical applications and characteristics of apparent diffusion coefficient maps for the brain of two dogs.

Authors:  Boeun Kim; Kangjae Yi; Sunyoung Jung; Seoyeon Ji; Mincheol Choi; Junghee Yoon
Journal:  J Vet Sci       Date:  2014-03-21       Impact factor: 1.672

5.  Transient encephalopathy after intrathekal methotrexate chemotherapy: diffusion-weighted MRI.

Authors:  W Küker; P Bader; U Herrlinger; S Heckl; T Nägele
Journal:  J Neurooncol       Date:  2005-05       Impact factor: 4.130

6.  Diffusion-weighted imaging in the evaluation of odontogenic cysts and tumours.

Authors:  K Srinivasan; A Seith Bhalla; R Sharma; A Kumar; A Roychoudhury; O Bhutia
Journal:  Br J Radiol       Date:  2012-05-02       Impact factor: 3.039

7.  In vivo differentiation of aerobic brain abscesses and necrotic glioblastomas multiforme using proton MR spectroscopic imaging.

Authors:  P H Lai; H H Weng; C Y Chen; S S Hsu; S Ding; C W Ko; J H Fu; H L Liang; K H Chen
Journal:  AJNR Am J Neuroradiol       Date:  2008-05-22       Impact factor: 3.825

8.  Role of diffusion- and perfusion-weighted MR imaging for brain tumour characterisation.

Authors:  L Rizzo; S Greco Crasto; P Garcia Moruno; P Cassoni; R Rudà; R Boccaletti; M Brosio; R De Lucchi; C Fava
Journal:  Radiol Med       Date:  2009-05-06       Impact factor: 3.469

Review 9.  Diffusion-weighted imaging of the brain in infants and children.

Authors:  Richard L Robertson; Charles M Glasier
Journal:  Pediatr Radiol       Date:  2007-06-23

Review 10.  Quantitative imaging biomarkers in neuro-oncology.

Authors:  Adam D Waldman; Alan Jackson; Stephen J Price; Christopher A Clark; Thomas C Booth; Dorothee P Auer; Paul S Tofts; David J Collins; Martin O Leach; Jeremy H Rees
Journal:  Nat Rev Clin Oncol       Date:  2009-06-23       Impact factor: 66.675

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