Literature DB >> 28330684

MRI for the detection of calcific features of vertebral haemangioma.

Y Y Bender1, S M Böker1, G Diederichs1, T Walter1, M Wagner1, E Fallenberg1, T Liebig2, M Rickert3, B Hamm1, M R Makowski4.   

Abstract

AIM: To evaluate the diagnostic performance of susceptibility-weighted-magnetic-resonance imaging (SW-MRI) for the detection of vertebral haemangiomas (VHs) compared to T1/T2-weighted MRI sequences, radiographs, and computed tomography (CT).
MATERIALS AND METHODS: The study was approved by the local ethics review board. An SW-MRI sequence was added to the clinical spine imaging protocol. The image-based diagnosis of 56 VHs in 46 patients was established using T1/T2 MRI in combination with radiography/CT as the reference standard. VHs were assessed based on T1/T2-weighted MRI images alone and in combination with SW-MRI, while radiographs/CT images were excluded from the analysis.
RESULTS: Fifty-one of 56 VHs could be identified on T1/T2 MRI images alone, if radiographs/CT images were excluded from analysis. In five cases (9.1%), additional radiographs/CT images were required for the imaging-based diagnosis. If T1/T2 and SW-MRI images were used in combination, all VHs could be diagnosed, without the need for radiography/CT. Size measurements revealed a close correlation between CT and SW-MRI (R2=0.94; p<0.05).
CONCLUSIONS: This study demonstrates that SW-MRI enables reliable detection of the typical calcified features of VHs. This is of importance for routine MRI of the spine, as the use of additional CT/radiography can be minimized.
Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28330684     DOI: 10.1016/j.crad.2017.02.018

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  1 in total

1.  Differential diagnosis of hemangiomas from spinal osteolytic metastases using 3.0 T MRI: comparison of T1-weighted imaging, chemical-shift imaging, diffusion-weighted and contrast-enhanced imaging.

Authors:  Yan-Jie Shi; Xiao-Ting Li; Xiao-Yan Zhang; Yu-Liang Liu; Lei Tang; Ying-Shi Sun
Journal:  Oncotarget       Date:  2017-08-24
  1 in total

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