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Diffusion–Based Virtual MR Elastography of the Liver: Can It Be Extended beyond Liver Fibrosis?
| Content Provider | MDPI |
|---|---|
| Author | Ota, Takashi Hori, Masatoshi Bihan, Denis Le Fukui, Hideyuki Onishi, Hiromitsu Nakamoto, Atsushi Tsuboyama, Takahiro Tatsumi, Mitsuaki Ogawa, Kazuya Tomiyama, Noriyuki |
| Copyright Year | 2021 |
| Abstract | Background: Strong correlation has been reported between tissue water diffusivity and tissue elasticity in the liver. The purpose of this study is to explore the capability of diffusion–based virtual MR elastography (VMRE) in the characterization of liver tumors by extending beyond liver fibrosis assessments. Methods: Fifty-four patients (56 liver tumors: hepatocellular carcinoma (HCC), 31; metastases, 25) who underwent MRE, diffusion-weighted imaging (DWI) (b: 0, 800 s/mm2), and VMRE (b: 200, 1500 s/mm2) were enrolled. The MRE shear modulus (µMRE), apparent diffusion coefficient (ADC), and shifted ADC (sADC) were obtained. Virtual stiffness (µdiff) was estimated from the relationship between µMRE and sADC. A linear discriminant analysis combining VMRE and MRE to classify HCC and metastases was performed in a training cohort (thirty-two patients) to estimate a classifier (C), and evaluate its accuracy in a testing cohort (twenty-two patients). Pearson’s correlations between µMRE, sADC, and ADC were evaluated. In addition to the discriminant analysis, a receiver operating characteristic (ROC) curve was used to assess the discrimination capability between HCC and metastases. Results: The correlations between µMRE and sADC were significant for liver, HCC, and metastases (r = 0.91, 0.68, 0.71; all p < 0.05). Those between µMRE and ADC were weaker and significant only for metastases (r = 0.17, 0.20, 0.55). µdiff values were not significantly different between HCC and metastases (p = 0.56). Areas under the curves (AUC) to differentiate HCC from metastases were as follows: VMRE, 0.46; MRE alone, 0.89; MRE + VMRE, 0.96. The classifier C also provided better performance than MRE alone, in terms of sensitivity (100 vs. 93.5%, respectively) and specificity (92 vs. 76%, respectively, p = 0.046). Conclusions: The correlation between sADC and µMRE was strong both in the liver and in tumors. However, VMRE alone could not classify HCC and metastases. The combination of MRE and VMRE, however, allowed discriminant performance between HCC and metastases. |
| Starting Page | 4553 |
| e-ISSN | 20770383 |
| DOI | 10.3390/jcm10194553 |
| Journal | Journal of clinical medicine |
| Issue Number | 19 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-09-30 |
| Access Restriction | Open |
| Subject Keyword | Journal of clinical medicine Journal of Clinical Medicine Radiology, Nuclear Medicine and Imaging Diffusion-weighted Imaging Mr Elastography Virtual Mr Elastography Liver Hepatocellular Carcinoma Metastatic Liver Cancer |
| Content Type | Text |
| Resource Type | Article |
