Non-invasive detection of liver fibrosis: MR imaging features vs. MR elastography

Verfasser / Beitragende:
[Sudhakar Venkatesh, Meng Yin, Naoki Takahashi, James Glockner, Jayant Talwalkar, Richard Ehman]
Ort, Verlag, Jahr:
2015
Enthalten in:
Abdominal Imaging, 40/4(2015-04-01), 766-775
Format:
Artikel (online)
ID: 605494150
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024 7 0 |a 10.1007/s00261-015-0347-6  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00261-015-0347-6 
245 0 0 |a Non-invasive detection of liver fibrosis: MR imaging features vs. MR elastography  |h [Elektronische Daten]  |c [Sudhakar Venkatesh, Meng Yin, Naoki Takahashi, James Glockner, Jayant Talwalkar, Richard Ehman] 
520 3 |a Purpose: To compare accuracy of morphological features of liver on MRI and liver stiffness with MR elastography (MRE) for detection of significant liver fibrosis and cirrhosis. Materials and methods: In this retrospective study, we evaluated 62 patients who underwent liver MRI with MRE and histological confirmation of liver fibrosis within 6months. Two radiologists, blinded to histology results, independently evaluated liver parenchyma texture, surface nodularity, signs of volumetric changes, and portal hypertension for presence of significant fibrosis and cirrhosis. Two more readers independently calculated mean liver stiffness values with MRE. Interobserver agreement was evaluated with kappa and intra-class correlation coefficient (ICC) analysis. Diagnostic accuracy was assessed with area under receiver operating characteristic (AUROC) analysis. Comparison of AUROCs of MRI and MRE was performed. Results: Liver fibrosis was present in 37 patients. The interobserver agreement was poor to good (κ=0.12-0.74) for MRI features and excellent for MRE (ICC 0.97, 95% CI 0.95-0.98). MRI features had 48.5%-87.9% sensitivity, 55.2%-100% specificity, and 71.5%-81.6% accuracy/for detection of significant fibrosis. MRE performed better with 100% sensitivity, 96.5% specificity, and 98.9% accuracy. For the detection of cirrhosis, MRE performed better than MRI features with 88.2% sensitivity (vs. 41.2%-82.3%), 91.1% specificity (vs. 64.4%-95.6%), and 93.5% accuracy (vs. 60.6%-80.5%). Among the MRI features, surface nodularity and overall impression had the best accuracies of 80.3% and 81.6% for detection of significant fibrosis, respectively. For cirrhosis, parenchyma texture and overall impression had the best accuracies of 80.5% and 79.7%, respectively. Overall, MRE had significantly greater AUROC than MRI features for detection of both significant fibrosis (0.98.9 vs 0.71-0.82, P<0.001) and cirrhosis (0.93.5 vs. 0.61-0.80.5, P<0.01). Conclusion: MRE is superior to MRI for the non-invasive diagnosis of significant liver fibrosis and cirrhosis. 
540 |a Springer Science+Business Media New York, 2015 
690 7 |a Liver fibrosis  |2 nationallicence 
690 7 |a Cirrhosis  |2 nationallicence 
690 7 |a Magnetic resonance elastography  |2 nationallicence 
690 7 |a Liver morphology  |2 nationallicence 
690 7 |a Parenchyma texture  |2 nationallicence 
690 7 |a Signs of cirrhosis  |2 nationallicence 
700 1 |a Venkatesh  |D Sudhakar  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
700 1 |a Yin  |D Meng  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
700 1 |a Takahashi  |D Naoki  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
700 1 |a Glockner  |D James  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
700 1 |a Talwalkar  |D Jayant  |u Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA  |4 aut 
700 1 |a Ehman  |D Richard  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
773 0 |t Abdominal Imaging  |d Springer US; http://www.springer-ny.com  |g 40/4(2015-04-01), 766-775  |x 0942-8925  |q 40:4<766  |1 2015  |2 40  |o 261 
856 4 0 |u https://doi.org/10.1007/s00261-015-0347-6  |q text/html  |z Onlinezugriff via DOI 
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900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00261-015-0347-6  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Venkatesh  |D Sudhakar  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yin  |D Meng  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Takahashi  |D Naoki  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Glockner  |D James  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Talwalkar  |D Jayant  |u Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ehman  |D Richard  |u Department of Radiology, Mayo Clinic, 200 First Street SW, 55905, Rochester, MN, USA  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Abdominal Imaging  |d Springer US; http://www.springer-ny.com  |g 40/4(2015-04-01), 766-775  |x 0942-8925  |q 40:4<766  |1 2015  |2 40  |o 261