scholarly journals Preoperative assessment of meningioma stiffness using magnetic resonance elastography

2013 ◽  
Vol 118 (3) ◽  
pp. 643-648 ◽  
Author(s):  
Matthew C. Murphy ◽  
John Huston ◽  
Kevin J. Glaser ◽  
Armando Manduca ◽  
Fredric B. Meyer ◽  
...  

Object The object of this study was to determine the potential of magnetic resonance elastography (MRE) to preoperatively assess the stiffness of meningiomas. Methods Thirteen patients with meningiomas underwent 3D brain MRE examination to measure stiffness in the tumor as well as in surrounding brain tissue. Blinded to the MRE results, neurosurgeons made a qualitative assessment of tumor stiffness at the time of resection. The ability of MRE to predict the surgical assessment of stiffness was tested using a Spearman rank correlation. Results One case was excluded due to a small tumor size. In the remaining 12 cases, both tumor stiffness alone (p = 0.023) and the ratio of tumor stiffness to surrounding brain tissue stiffness (p = 0.0032) significantly correlated with the surgeons' qualitative assessment of tumor stiffness. Results of the MRE examination provided a stronger correlation with the surgical assessment of stiffness compared with traditional T1- and T2-weighted imaging (p = 0.089), particularly when considering meningiomas of intermediate stiffness. Conclusions In this cohort, preoperative MRE predicted tumor consistency at the time of surgery. Tumor stiffness as measured using MRE outperformed conventional MRI because tumor appearance on T1- and T2-weighted images could only accurately predict the softest and hardest meningiomas.

2015 ◽  
Vol 12 (Suppl 1) ◽  
pp. O30
Author(s):  
Kristy Tan ◽  
Adam L Sandler ◽  
Avital Meiri ◽  
Rick Abbott ◽  
James T Goodrich ◽  
...  

2019 ◽  
Vol 22 ◽  
pp. 101750 ◽  
Author(s):  
Charlotte A. Chaze ◽  
Grace McIlvain ◽  
Daniel R. Smith ◽  
Gabrielle M. Villermaux ◽  
Peyton L. Delgorio ◽  
...  

2007 ◽  
Vol 20 (5-6) ◽  
pp. 273-278 ◽  
Author(s):  
Jonathan Vappou ◽  
Elodie Breton ◽  
Philippe Choquet ◽  
Christian Goetz ◽  
Rémy Willinger ◽  
...  

2019 ◽  
Vol 18 (5) ◽  
pp. 1497-1505 ◽  
Author(s):  
Jade Yeung ◽  
Lauriane Jugé ◽  
Alice Hatt ◽  
Lynne E. Bilston

2008 ◽  
Vol 41 (14) ◽  
pp. 2954-2959 ◽  
Author(s):  
Jonathan Vappou ◽  
Elodie Breton ◽  
Philippe Choquet ◽  
Rémy Willinger ◽  
André Constantinesco

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1012
Author(s):  
Silvia Capuani ◽  
Gianluca Gambarini ◽  
Renzo Guarnieri ◽  
Giulia Di Pietro ◽  
Luca Testarelli ◽  
...  

Aim: To assess the potential ability of nuclear magnetic resonance micro-imaging (mMRI) to visualize and identify soft tissue debris and unfilled spaces inside radicular canals in endodontic treated extracted teeth, for understanding the causes of treatment failure. Toward this goal, multi-parametric mMRI and cone beam computed tomography (CBCT) were compared. Methodology: A non-recoverable root treated human tooth was extracted due to endodontic failure and excessive mobility. It was examined with both CBCT and mMRI: CBCT was performed with 0.125 mm voxel size (GXCB-500, Kavo-Gendex, Brea, CA, USA) and mMRI was performed with a spectrometer operating at 9.4T magnetic field (Bruker Avance-400, Bruker, Billerica, MA, USA). The mMRI images were obtained with a microimaging probe. Relaxation times (T1 and T2) and diffusion-weighted acquisition sequences were used to obtain multi-parametric maps of the extracted tooth (slice thickness of 200 µm and in plane resolution of 30 × 30 µm2). Results: T1 and T2 maps identified unfilled spaces around and close to Gutta-percha cones instead of CBCT images that were not able to highlight this aspect. T1, T2 and apparent diffusion coefficient (ADC) assumed different values in dentine and in voids, characterized by different dimensions. Moreover, they were able to discriminate between infiltrations of water only and deposits of biological material. Because Gutta-percha cones are constituted of hard, non-porous material, they do not provide a signal and in mMRI images appear as zones of noise. Conclusions: Unlike the CBCT exam, mMRI can detect soft tissue debris and unfilled spaces inside radicular canals. Therefore, this in vitro study showed the potential of mMRI to evaluate the quality of the root canal treatment, suggesting its potential benefit in determining the causes of endodontic failure, without the use of ionizing radiation.


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