Literature DB >> 28106942

Assessment of intracranial meningioma-associated calcifications using susceptibility-weighted MRI.

Lisa C Adams1, Sarah M Böker1, Yvonne Y Bender1, Eva M Fallenberg2, Moritz Wagner1, Ralph Buchert1, Bernd Hamm1, Marcus R Makowski1.   

Abstract

PURPOSE: To determine the diagnostic accuracy of susceptibility-weighted MRI (SW-MRI) for the detection of intracranial meningioma-associated calcifications compared with standard MR sequences, using computed tomography (CT) as a reference standard.
MATERIALS AND METHODS: 354 patients, who had received both a CT and a 1.5 Tesla clinical brain MRI with SW-MRI sequences between January 2014 and July 2016, were retrospectively evaluated and 316 patients were included. Calcification diameter was used to assess correlation between imaging modalities. Sensitivity and specificity as well as intra- and interobserver agreement were calculated for SW-MRI and standard MRI sequences when compared with reference standard CT.
RESULTS: Fifty patients had positive findings for intracranial meningioma-associated calcifications on CT scans. SW-MRI reached a sensitivity of 94% (95% confidence interval [CI]: 83-99%) and a specificity of 95% (95% CI: 92-98%) for the detection of meningioma-associated calcifications, while standard MRI yielded a sensitivity of 64% (95% CI: 49-77%) and a specificity of 94% (95% CI: 90-96%). Diameter measurements between SW-MRI and CT showed a close correlation (R2  = 0.99; P < 0.001) with a slight overestimation of size, which, however, did not reach significance level (SW-MRI: 8.2 mm ± 7.1; CT: 6.8 mm ± 6.4; P = 0.29). Compared with standard MRI, SW-MRI showed a better interobserver agreement for size measurements of calcifications.
CONCLUSION: SW-MRI enables a reliable detection of intracranial meningioma-associated calcifications by using CT as a reference and offers a higher diagnostic accuracy than standard MRI. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1177-1186.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  calcifications; diagnostic performance; meningiomas; susceptibility-weighted imaging

Mesh:

Year:  2017        PMID: 28106942     DOI: 10.1002/jmri.25614

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  4 in total

1.  Diagnostic performance of susceptibility-weighted magnetic resonance imaging for the detection of calcifications: A systematic review and meta-analysis.

Authors:  Lisa C Adams; Keno Bressem; Sarah Maria Böker; Yi-Na Yvonne Bender; Dominik Nörenberg; Bernd Hamm; Marcus R Makowski
Journal:  Sci Rep       Date:  2017-11-14       Impact factor: 4.379

Review 2.  Dural masses: meningiomas and their mimics.

Authors:  Daniel Lyndon; Joseph A Lansley; Jane Evanson; Anant S Krishnan
Journal:  Insights Imaging       Date:  2019-02-06

3.  A prognostic model to personalize monitoring regimes for patients with incidental asymptomatic meningiomas.

Authors:  Abdurrahman I Islim; Ruwanthi Kolamunnage-Dona; Midhun Mohan; Richard D C Moon; Anna Crofton; Brian J Haylock; Nitika Rathi; Andrew R Brodbelt; Samantha J Mills; Michael D Jenkinson
Journal:  Neuro Oncol       Date:  2020-02-20       Impact factor: 12.300

4.  Magnetic Resonance Imaging (MRI) Differential Diagnosis of Meningiomas Using ANOVA.

Authors:  Jinhuan Liu; Jun Chen; Yunfei Zha; Yabin Huang; Feifei Zeng
Journal:  Contrast Media Mol Imaging       Date:  2021-07-10       Impact factor: 3.161

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.