Research progress of clinical application of the magnetic resonance elastography in chronic liver disease

doi:10.3877/cma.j.issn.2095-2015.2021.03.006

Abstract

Abstract:

Magnetic resonance elastography(MRE)is a new noninvasive imaging technique that uses mechanical waves to quantitatively measure tissue elasticity.In recent years, it has made some progress in clinical application, such as predicting liver fibrosis, portal venous pressure and the prognosis of patients with chronic liver disease.This paper reviews the recent research progress in the clinical application of MRE in chronic liver disease.

Key words: Magnetic resonance elastography, Chronic liver disease, Clinical application

Mingkai Li, Xiaoying Wu, Bin Wu. Research progress of clinical application of the magnetic resonance elastography in chronic liver disease[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2021, 11(03): 126-131.

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References 54

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作者	年份	病例数	场强	频率	序列	F1			AUROC
作者	年份	病例数	场强	频率	序列	截断值	特异性	敏感性	AUROC
Loomba	2014	117	3.0T	60 Hz	2D-GRE	3.02	0.91	0.56	0.838
Imajo	2016	142	3.0T	60 Hz	2D-GRE	2.5	0.86	0.75	0.8
Singh	2016	232	1.5T	60-62.5 Hz	-	2.88	0.77	0.75	0.86
Loomba	2016	100	3.0T	60 Hz	2D-GRE	3.13	-	-	0.85
		100	3.0T	60 Hz	2D-SE-EPI	2.53	-	-	0.86
		100	3.0T	40 Hz	3D-SE-EPI	1.77	-	-	0.85
Costa-Silva	2017	49	1.5T	60 Hz	2D-GRE	3.14	0.91	0.79	0.88
Park	2017	104	3.0T	60 Hz	2D-GRE	2.65	0.79	0.77	0.82
作者	F2			AUROC	F3			AUROC	F4			AUROC
作者	截断值	特异性	敏感性	AUROC	截断值	特异性	敏感性	AUROC	截断值	特异性	敏感性	AUROC
Loomba	3.58	0.92	0.66	0.856	3.64	0.91	0.87	0.924	4.67	0.94	0.8	0.894
Imajo	3.4	0.85	0.87	0.89	4.8	0.87	0.75	0.89	6.7	0.95	0.91	0.97
Singh	3.54	0.81	0.79	0.87	3.77	0.86	0.83	0.9	4.09	0.87	0.88	0.91
Loomba	3.65	-	-	0.88	3.8	0.94	0.87	0.92	5.68	-	-	0.98
	2.89	-	-	0.84	3.4	0.96	0.87	0.93	4.08	-	-	0.98
	2.38	-	-	0.86	2.43	0.94	1	0.98	3.21	-	-	0.99
Costa-Silva	4.14	0.97	0.92	0.93	4.39	0.97	0.91	0.93	5.37	0.89	1	0.96
Park	2.86	0.82	0.79	0.89	2.99	0.8	0.78	0.87	3.35	0.81	0.75	0.87

作者	年份	病例数	场强	频率	序列	F1			AUROC
作者	年份	病例数	场强	频率	序列	截断值	特异性	敏感性	AUROC
Loomba	2014	117	3.0T	60 Hz	2D-GRE	3.02	0.91	0.56	0.838
Imajo	2016	142	3.0T	60 Hz	2D-GRE	2.5	0.86	0.75	0.8
Singh	2016	232	1.5T	60-62.5 Hz	-	2.88	0.77	0.75	0.86
Loomba	2016	100	3.0T	60 Hz	2D-GRE	3.13	-	-	0.85
		100	3.0T	60 Hz	2D-SE-EPI	2.53	-	-	0.86
		100	3.0T	40 Hz	3D-SE-EPI	1.77	-	-	0.85
Costa-Silva	2017	49	1.5T	60 Hz	2D-GRE	3.14	0.91	0.79	0.88
Park	2017	104	3.0T	60 Hz	2D-GRE	2.65	0.79	0.77	0.82
作者	F2			AUROC	F3			AUROC	F4			AUROC
作者	截断值	特异性	敏感性	AUROC	截断值	特异性	敏感性	AUROC	截断值	特异性	敏感性	AUROC
Loomba	3.58	0.92	0.66	0.856	3.64	0.91	0.87	0.924	4.67	0.94	0.8	0.894
Imajo	3.4	0.85	0.87	0.89	4.8	0.87	0.75	0.89	6.7	0.95	0.91	0.97
Singh	3.54	0.81	0.79	0.87	3.77	0.86	0.83	0.9	4.09	0.87	0.88	0.91
Loomba	3.65	-	-	0.88	3.8	0.94	0.87	0.92	5.68	-	-	0.98
	2.89	-	-	0.84	3.4	0.96	0.87	0.93	4.08	-	-	0.98
	2.38	-	-	0.86	2.43	0.94	1	0.98	3.21	-	-	0.99
Costa-Silva	4.14	0.97	0.92	0.93	4.39	0.97	0.91	0.93	5.37	0.89	1	0.96
Park	2.86	0.82	0.79	0.89	2.99	0.8	0.78	0.87	3.35	0.81	0.75	0.87

作者	年份	病例数	场强	频率	序列	F1			AUROC
作者	年份	病例数	场强	频率	序列	截断值	特异性	敏感性	AUROC
Leea	2014	291	1.5T	60 Hz	2D-GRE	2.45	0.98	0.92	0.98
Venkatesha	2014	63	1.5T	60 Hz	2D-GRE	2.74	0.92	0.96	0.99
Shia	2014	113	3.0T	60 Hz	2D-GRE	3.61	0.91	0.86	0.961
Changa	2016	97	1.5T	60 Hz	2D-GRE	2.56	1	0.85	0.958
Hennedigea	2017	63	1.5T	-	2D-GRE	-	-	-	-
Ichikawab	2012	114	1.5T	60 Hz	2D-GRE	2.3	1	0.96	0.98
作者	F2			AUROC	F3			AUROC	F4			AUROC
作者	截断值	特异性	敏感性	AUROC	截断值	特异性	敏感性	AUROC	截断值	特异性	敏感性	AUROC
Leea	2.69	0.96	0.95	0.988	3.04	0.94	0.95	0.988	3.94	0.95	0.95	0.987
Venkatesha	3.2	1	0.97	0.99	3.7	0.94	1	0.99	4.33	0.95	1	0.98
Shia	4.07	0.95	0.95	0.986	5.45	1	1	1	6.87	0.99	1	0.998
Changa	2.57	0.96	0.91	0.972	2.92	0.88	0.89	0.946	3.67	0.91	0.84	0.92
Hennedigea	3.2	1	0.97	0.99	3.7	0.94	1	0.98	4.33	0.95	1	0.99
Ichikawab	3.2	1	0.89	0.99	4	1	0.87	0.97	4.6	0.86	1	0.98

作者	年份	病例数	场强	频率	序列	F1			AUROC
作者	年份	病例数	场强	频率	序列	截断值	特异性	敏感性	AUROC
Leea	2014	291	1.5T	60 Hz	2D-GRE	2.45	0.98	0.92	0.98
Venkatesha	2014	63	1.5T	60 Hz	2D-GRE	2.74	0.92	0.96	0.99
Shia	2014	113	3.0T	60 Hz	2D-GRE	3.61	0.91	0.86	0.961
Changa	2016	97	1.5T	60 Hz	2D-GRE	2.56	1	0.85	0.958
Hennedigea	2017	63	1.5T	-	2D-GRE	-	-	-	-
Ichikawab	2012	114	1.5T	60 Hz	2D-GRE	2.3	1	0.96	0.98
作者	F2			AUROC	F3			AUROC	F4			AUROC
作者	截断值	特异性	敏感性	AUROC	截断值	特异性	敏感性	AUROC	截断值	特异性	敏感性	AUROC
Leea	2.69	0.96	0.95	0.988	3.04	0.94	0.95	0.988	3.94	0.95	0.95	0.987
Venkatesha	3.2	1	0.97	0.99	3.7	0.94	1	0.99	4.33	0.95	1	0.98
Shia	4.07	0.95	0.95	0.986	5.45	1	1	1	6.87	0.99	1	0.998
Changa	2.57	0.96	0.91	0.972	2.92	0.88	0.89	0.946	3.67	0.91	0.84	0.92
Hennedigea	3.2	1	0.97	0.99	3.7	0.94	1	0.98	4.33	0.95	1	0.99
Ichikawab	3.2	1	0.89	0.99	4	1	0.87	0.97	4.6	0.86	1	0.98

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