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Direct Comparison of US and MR Elastography for Staging Liver Fibrosis in Patients With Nonalcoholic Fatty Liver Disease
Open accessAbstract
BACKGROUND & AIMS: As alternatives to the expensive liver biopsy for assessing liver fibrosis stage in patients with nonalcoholic fatty liver disease (NAFLD), we directly compared the diagnostic abilities of magnetic resonance elastography (MRE), vibration-controlled transient elastography (VCTE), and two-dimensional shear wave elastography (2D-SWE). METHODS: Overall, 231 patients with biopsy-proven NAFLD were included. Intra- and inter-observer reproducibility was analyzed using intraclass correlation coefficient in a sub-group of 70 participants, in whom liver stiffness measurement (LSM) was performed by an elastography expert and an ultrasound expert who was an elastography trainee on the same day. RESULTS: Valid LSMs were obtained for 227, 220, 204, and 201 patients using MRE, VCTE, 2D-SWE, and all three modalities combined, respectively. Although the area under the curve did not differ between the modalities for detecting stage ≥1, ≥2, and ≥3 liver fibrosis, it was higher for MRE than VCTE and 2D-SWE for stage 4. Sex was a significant predictor of discordance between VCTE and liver fibrosis stage. Skin-capsule distance and the ratio of the interquartile range of liver stiffness to the median were significantly associated with discordance between 2D-SWE and liver fibrosis stage. However, no factors were associated with discordance between MRE and liver fibrosis stage. Intra- and inter-observer reproducibility in detecting liver fibrosis was higher for MRE than VCTE and 2D-SWE. CONCLUSIONS: MRE, VCTE, and 2D-SWE demonstrated excellent diagnostic accuracy in detecting liver fibrosis in patients with NAFLD. MRE demonstrated the highest diagnostic accuracy for stage 4 detection and intra- and inter-observer reproducibility. UMIN Clinical Trials Registry No. UMIN000031491.
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“Advantages of MRE for the diagnosis of advanced fi brosis were reported recently.”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [159]
Citations
Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Forming inferences about some intraclass correlation coefficients.
McGraw, K. O., & Wong, S. P. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.1.30 · Cited by 6,903
Nonalcoholic Fatty Liver Disease
Angulo, P. (2002) · New England Journal of Medicine · doi:10.1056/nejmra011775 · Cited by 5,228
Angulo, P., Hui, J. M., Marchesini, G., Bugianesi, E., George, J., Farrell, G. C., Enders, F., Saksena, S., Burt, A. D., Bida, J. P., et al. (2007) · Hepatology · doi:10.1002/hep.21496 · Cited by 3,255
Transient elastography: a new noninvasive method for assessment of hepatic fibrosis
Sandrin, L., Fourquet, B., Hasquenoph, J.-M., Yon, S., Fournier, C., Mal, F., Christidis, C., Ziol, M., Poulet, B., Kazemi, F., et al. (2003) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2003.07.001 · Cited by 2,734
Sampling Variability of Liver Biopsy in Nonalcoholic Fatty Liver Disease
Ratziu, V., Charlotte, F., Heurtier, A., Gombert, S., Giral, P., Bruckert, E., Grimaldi, A., Capron, F., & Poynard, T. (2005) · Gastroenterology · doi:10.1053/j.gastro.2005.03.084 · Cited by 2,106
Pitfalls of Liver Stiffness Measurement: A 5-Year Prospective Study of 13,369 Examinations
Castéra, L., Foucher, J., Bernard, P., Carvalho, F., Allaix, D., Merrouche, W., Couzigou, P., & de Lédinghen, V. (2009) · Hepatology · doi:10.1002/hep.23425 · Cited by 1,157
The Metabolic Syndrome as a Predictor of Nonalcoholic Fatty Liver Disease
Hamaguchi, M., Kojima, T., Takeda, N., Nakagawa, T., Taniguchi, H., Fujii, K., Omatsu, T., Nakajima, T., Sarui, H., Shimazaki, M., et al. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-143-10-200511150-00009 · Cited by 1,060
Dietrich, C., Bamber, J. C., Berzigotti, A., Bota, S. I., Cantisani, V., Castéra, L., Cosgrove, D. O., Ferraioli, G., Friedrich‐Rust, M., Gilja, O. H., et al. (2017) · Ultraschall in der Medizin - European Journal of Ultrasound · doi:10.1055/s-0043-103952 · Cited by 1,016
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Ren, H., Yang, D., Xu, H. M., Tong, X., Zhao, X., Wang, Q., Sun, Y., Ou, X., Jia, J., You, H., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e24558 · Cited by 2
Gotoh, T., Kumada, T., Ogawa, S., Niwa, F., Toyoda, H., Akita, T., Tanaka, J., & Shimizu, M. (2025) · ULTRASONOGRAPHY · doi:10.14366/usg.25090 · Cited by 1
Luo, L., Shao, C., Dong, Z., Zhuo, S., Feng, S., Wang, W., Ye, J., & Zhong, B. (2025) · Biomedicines · doi:10.3390/biomedicines13092161 · Cited by 1
Zhang, D., Li, L., Zhang, Y., Wang, P., Lei, L., Hu, Y., Zhou, C., Yang, S.-S., Liu, W., & Huang, X. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-07241-4 · Cited by 1
Revolutionizing Liver Imaging: Artificial Intelligence–Driven Advances in Diagnostics and Staging
Devkota, S., Bhujade, H., & Kalra, N. (2025) · Journal of Clinical and Experimental Hepatology · doi:10.1016/j.jceh.2025.103439 · Cited by 1
Min, E., Kim, S., Ahn, B., Kim, D. G., Joo, D. J., Ahn, S. H., Kim, S. U., & Lee, J. G. (2026) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.70316 · Cited by 1
Xiao, T. S., Tahmasebi, A., Khatami, S. M., Kuon-Yeng, C., Mohammed, A., Alnoury, M., Guglielmo, F. F., Eisenbrey, J. R., & Civan, J. M. (2026) · Clinical Imaging · doi:10.1016/j.clinimag.2026.110786 · Cited by 1
Iftikhar, H., Ahmad, R., & Kolipaka, A. (2026) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-026-01375-2 · Cited by 1
Emerging drugs for the treatment of hepatic fibrosis on nonalcoholic steatohepatitis
Iwaki, M., Yoneda, M., Wada, N., Otani, T., Kobayashi, T., Nogami, A., Saito, S., & Nakajima, A. (2024) · Expert Opinion on Emerging Drugs · doi:10.1080/14728214.2024.2328036 · Cited by 1
Li, H., Feng, L., Jiang, Q., Yang, Y., Zhang, J., Luo, X., Yang, X., Ren, B., Ye, L.-T., Hou, Z.-J., et al. (2024) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2024.11.011 · Cited by 1
Ma, C. M., & Goldberg, D. S. (2025) · Digestive Diseases and Sciences · doi:10.1007/s10620-025-08992-2 · Cited by 1
Non-Gaussian Diffusion MRI for Evaluating Hepatic Fibrosis
Li, W. (2022) · Academic Radiology · doi:10.1016/j.acra.2022.04.020
Yang, H., Liu, J., Chen, Q., Zhao, L., & Li, J. (2023) · Research Square · doi:10.21203/rs.3.rs-2492341/v1
Rapport 23-02. Le foie stéatosique non alcoolique : un défi de santé publique
Brissot, P., & Buffet, C. (2023) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/j.banm.2023.03.014
Lee, Y. K., Koo, B. K., & Kim, W. K. (2023) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.17627
2D Shear Wave Elastography Performance in the Diagnosis of Nonalcoholic Fatty Liver Disease
Sporea, I., & Popescu, A. (2023) · Springer eBooks · doi:10.1007/978-3-031-33548-8_9
(2023) · Kanzo · doi:10.2957/kanzo.64.a793
V. Recent advances in hepatic elastography; advanced in fat quantification and stiffness measurement
Nakajima, A., Imajo, K., Sumida, Y., & Yoneda, M. (2024) · Nihon Naika Gakkai Zasshi · doi:10.2169/naika.113.39
Kamada, Y., Sumida, Y., Takahashi, H., Fujii, H., Kawanaka, M., Nakajima, A., & Forum, J. (2025) · Kanzo · doi:10.2957/kanzo.66.105
Kalafateli, M., Aydin, B. S., Polat, B., Yee, M. S., Forlano, R., Izzi‐Engbeaya, C. N., Thursz, M. R., Mullish, B. H., & Manousou, P. (2025) · Frontline Gastroenterology · doi:10.1136/flgastro-2024-102705 · Cited by 1
Qiao, Y., Xing, F., Liu, Y., & Liang, T. (2025) · Journal of Visualized Experiments · doi:10.3791/68666
Utility of splenic transient elastography in assessing the presence of portal hypertension: A review
Abdulrasak, M., Ahmed, M. I., & Hootak, S. (2025) · World Journal of Methodology · doi:10.5662/wjm.v15.i4.107411
Sun, Z., Duan, M., Huang, M., Yao, F., Zhang, X., Zhang, Y., Wang, K., & Liu, J. (2025) · Abdominal Radiology · doi:10.1007/s00261-025-05197-z
Iwata, K., Mori, N., & Ogasawara, K. (2025) · Cureus · doi:10.7759/cureus.93549
Morariu-Barb, A. M., Drugan, T., SOCACIU, M. A., Ştefănescu, H., Morariu, A. D., & Lupșor‐Platon, M. (2025) · Diagnostics · doi:10.3390/diagnostics15212671
Perspective Chapter: Multiparametric Ultrasound in the Evaluation of Fatty Liver Disease
Sporea, I., Popa, A., & Popescu, A. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1005896
Obrzut, B., Atamaniuk, V., Vasilevska, D., Hańczyk, Ł., & Obrzut, M. (2026) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.70809
Noritake, H., Inoue, T., Yonekura, T., Tamakoshi, H., Ida, Y., Matsumoto, M., Hanaoka, T., Yamashita, M., Umemura, M., Ohta, K., et al. (2026) · Journal of clinical lipidology · doi:10.1016/j.jacl.2026.02.012
Tokimori, T., Saitoh, S., Ohira, S., Suzuki, H., Kurita, I., Tano, M., & Kozuka, T. (2026) · Abdominal Radiology · doi:10.1007/s00261-026-05490-5
Swerkersson, S., Bartholomä, W. C., Forsgren, M. F., Stjernman, H., Sjögren, D., Kechagias, S., Nasr, P., Holmberg, M., Lundberg, P., Rejler, M., et al. (2026) · European Journal of Radiology · doi:10.1016/j.ejrad.2026.112845
Zhao, S., Zhang, W., Huang, H., Xiao, D., Zhang, S., & Feng, M. (2026) · BMC Medical Imaging · doi:10.1186/s12880-026-02362-8
The role of imaging and deformable models in cancer biomechanics
Brock, K. K., Lim, R. T., O’Driscoll, O. H., Snoddy, E. P., Pan, J., Hickey, M., & Tang, T. T. (2026) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2026.100670
Meng, Z., Xie, S., Wu, L., Lin, X., Shengmin, Z., Qin, C., Li, X., Deng, S., Zhang, Y., Cheng, N., et al. (2026) · BMC Gastroenterology · doi:10.1186/s12876-025-04581-9
Zhong, J., He, H., Zhao, Y., Zeng, J. Z., & Cai, Z. (2026) · British Journal of Radiology · doi:10.1093/bjr/tqag112
Oh, J. H., Lee, J., Choi, M., Imajo, K., Yoneda, M., Fujii, H., Lee, H. Y., Yoon, E. L., Kim, M., & Jun, D. W. (2026) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2026.05.016
Reiberger, T., Ba‐Ssalamah, A., & Sebesta, C. (2026) · Journal of Clinical and Experimental Hepatology · doi:10.1016/j.jceh.2026.103611
Arslan, B. C., & Alıcıoğlu, B. (2026) · European Journal of Therapeutics · doi:10.58600/eurjther3062
Coimbra, F. J. F., de Godoy, A. L., Fernandes, P. H. D. S., Neto, H. F. E. C., Pinheiro, R. N., Boin, I. D. F. S. F., Andraus, W., Tustumi, F., AMARAL, P. C. G., Brandão‐Mello, C. E., et al. (2026) · ABCD Arquivos Brasileiros de Cirurgia Digestiva (São Paulo) · doi:10.1590/0102-672020260000035e1964
MRI in MASLD: technical foundations and guideline-based applications
Pu, J., Zhu, L., Wu, Y., Ping, F., Xu, J., Zhou, K., Wang, X., & Pan, J. (2026) · BMJ Open Gastroenterology · doi:10.1136/bmjgast-2026-002471 · Cited by 1
Non‐Invasive Imaging Assessment of Liver Fibrosis
Navin, P. J., Welle, C. L., Pepin, K. M., Yin, M., & Venkatesh, S. K. (2026) · Journal of Medical Imaging and Radiation Oncology · doi:10.1111/1754-9485.70184
Metadata
- Authors
- Imajo, K., Honda, Y., Kobayashi, T., Nagai, K., Ozaki, A., Iwaki, M., Kessoku, T., Ogawa, Y., Takahashi, H., Saigusa, Y., Yoneda, M., Kirikoshi, H., Utsunomiya, D., Aishima, S., Saito, S., & Nakajima, A.
- Affiliations
- Yokohama City University (JP)
- Saga University (JP)
- Yokohama City University Hospital (JP)
- Corresponding author
- Nakajima, Atsushi
- ORCID
- Venue
- Clinical Gastroenterology and Hepatology
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 20
- Issue
- 4
- Pages
- 908-917.e11
- ISSN
- 1542-3565 (ISSN-L)
- OpenAlex
- W3110769583
- Cited by
- 140
- References
- 31
- Citations by year
- 2026: 24 · 2025: 27 · 2024: 31 · 2023: 20 · 2022: 29
- FWCI
- 10.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinical Gastroenterology and Hepatology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Japan Science and Technology Agency
- Topics
- Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- non-alcoholic fatty liver disease, liver fibrosis staging, magnetic resonance elastography, vibration-controlled transient elastography, shear wave elastography, liver stiffness measurement, noninvasive fibrosis assessment, observer reproducibility, diagnostic accuracy
- MeSH terms
- Female, Humans, Liver, Liver Cirrhosis, Male, Reproducibility of Results, Elasticity Imaging Techniques, Non-alcoholic Fatty Liver Disease
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