Literature DB >> 19461062

Added value and diagnostic performance of intratumoral susceptibility signals in the differential diagnosis of solitary enhancing brain lesions: preliminary study.

H S Kim1, G-H Jahng, C W Ryu, S Y Kim.   

Abstract

BACKGROUND AND
PURPOSE: It has been reported that high-resolution susceptibility-weighted imaging (HR-SWI) is a promising tool for assessing brain tumor characterization noninvasively. The purpose of this study was to determine the added value and diagnostic performance of HR-SWI for differentiating solitary enhancing brain lesions (SELs) by assessing intratumoral susceptibility signals (ITSSs).
MATERIALS AND METHODS: Sixty-four consecutive patients with SELs, without previous surgery, were retrospectively reviewed. We performed 2 consensus reviews, by using conventional MR images alone and with adjunctive HR-SWI. We applied an ITSS grading system based on the degree of the ITSS. Then, we compared the presence and grade of the ITSSs among specific pathologic types of SELs.
RESULTS: Two observers diagnosed tumor pathology accurately in 43 (67%) of 64 SELs after reviewing the conventional images alone and 50 (78%) of 64 SELs after reviewing the adjunctive HR-SWI (P = .016, McNemar test). ITSSs were seen in 25 (100%) of 25 glioblastoma multiformes (GBMs), in 2 (40%) of 5 anaplastic astrocytomas, and in 11 (73%) of 15 metastatic tumors. Although the ITSSs were unable to distinguish between GBMs and solitary metastatic tumors, differentiation between GBMs and solitary metastatic tumors was achieved (P = .01) by using a high ITSS degree (grade 3). Moreover, the ITSSs could discriminate high-grade gliomas from lymphomas and nontumorous lesions with a specificity of 100% (P < .0001).
CONCLUSIONS: The use of ITSSs on HR-SWIs significantly improves the accuracy for the differential diagnosis of SELs compared with the use of conventional MR imaging alone.

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Mesh:

Year:  2009        PMID: 19461062     DOI: 10.3174/ajnr.A1635

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  26 in total

1.  Use of Susceptibility-Weighted Imaging (SWI) in the Detection of Brain Hemorrhagic Metastases from Breast Cancer and Melanoma.

Authors:  Ana Marija Franceschi; Stergios J Moschos; Carey K Anders; Samuel Glaubiger; Frances A Collichio; Carrie B Lee; Mauricio Castillo; Yueh Z Lee
Journal:  J Comput Assist Tomogr       Date:  2016 Sep-Oct       Impact factor: 1.826

2.  [Towards more precision in the therapy of brain tumors. Possibilities and limits of MRI].

Authors:  A Radbruch; E Hattingen
Journal:  Nervenarzt       Date:  2015-06       Impact factor: 1.214

3.  [Application of ultrahigh-field MRI in neuro-oncology].

Authors:  A Radbruch; H-P Schlemmer
Journal:  Radiologe       Date:  2013-05       Impact factor: 0.635

4.  Detection of microhemorrhage in posterior reversible encephalopathy syndrome using susceptibility-weighted imaging.

Authors:  A M McKinney; B Sarikaya; C Gustafson; C L Truwit
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-12       Impact factor: 3.825

5.  Distinguishing recurrent primary brain tumor from radiation injury: a preliminary study using a susceptibility-weighted MR imaging-guided apparent diffusion coefficient analysis strategy.

Authors:  A Al Sayyari; R Buckley; C McHenery; K Pannek; A Coulthard; S Rose
Journal:  AJNR Am J Neuroradiol       Date:  2010-01-28       Impact factor: 3.825

Review 6.  Central nervous system lymphoma: characteristic findings on traditional and advanced imaging.

Authors:  I S Haldorsen; A Espeland; E-M Larsson
Journal:  AJNR Am J Neuroradiol       Date:  2010-07-08       Impact factor: 3.825

7.  Benefits of contrast-enhanced SWI in patients with glioblastoma multiforme.

Authors:  Delia Fahrendorf; Wolfram Schwindt; Johannes Wölfer; Astrid Jeibmann; Hendrik Kooijman; Harald Kugel; Oliver Grauer; Walter Heindel; Volker Hesselmann; Andrea Bink
Journal:  Eur Radiol       Date:  2013-08-01       Impact factor: 5.315

8.  Three-dimensional susceptibility-weighted imaging at 7 T using fractal-based quantitative analysis to grade gliomas.

Authors:  Antonio Di Ieva; Sabine Göd; Günther Grabner; Fabio Grizzi; Camillo Sherif; Christian Matula; Manfred Tschabitscher; Siegfrid Trattnig
Journal:  Neuroradiology       Date:  2012-08-18       Impact factor: 2.804

Review 9.  Advanced MR Imaging in Neuro-oncology.

Authors:  A Radbruch; M Bendszus
Journal:  Clin Neuroradiol       Date:  2015-07-29       Impact factor: 3.649

10.  [Interdisciplinary neuro-oncology: part 1: diagnostics and operative therapy of primary brain tumors].

Authors:  G Tabatabai; E Hattingen; J Schlegel; W Stummer; U Schlegel
Journal:  Nervenarzt       Date:  2014-08       Impact factor: 1.214

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