Editorial for “Tumor Stiffness Measurements on Magnetic Resonance Elastography for Single Nodular Hepatocellular Carcinomas Can Predict Tumor Recurrence after Hepatic Resection“

2020 ◽  
Author(s):  
Shuncong Wang ◽  
Yicheng Ni
Keyword(s):  
Magnetic Resonance ◽  
Hepatic Resection ◽  
Tumor Recurrence ◽  
Magnetic Resonance Elastography ◽  
Hepatocellular Carcinomas ◽  
Tumor Stiffness ◽  
Predict Tumor Recurrence

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 ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Brain Tissue ◽  
Rank Correlation ◽  
Preoperative Assessment ◽  
Magnetic Resonance Elastography ◽  
Qualitative Assessment ◽  
Conventional Mri ◽  
T1 And T2 ◽  
Tumor Consistency ◽  
Tumor Stiffness

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.

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