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As we all know, the early diagnosis and accurate staging of liver fibrosis are very important to reduce the incidence of liver cirrhosis and liver cancer. And the accurate evaluation of hepatic fibrosis is of great significance to the prediction of residual liver function after liver surgery. Therefore, clinicians pay more and more attention to the qualitative and quantitative diagnosis of hepatic fibrosis, liver cirrhosis and hepatic steatosis involved in diffuse liver diseases(such as fatty liver, viral hepatitis, autoimmune hepatitis ). And now, liver biopsy is commonly used as the gold standard for the evaluation of steatohepatitis and fibrosis. However, this test is invasive, has low patient acceptance. So more and more clinicians recommend non-invasive methods to qualitatively and quantitatively evaluate the liver steatosis, fibrosis and cirrhosis in diffuse liver diseases. At present, serum markers, ultrasonic elastography and magnetic resonance imaging have good accuracy in the non-invasive detection and evaluation of liver cirrhosis. However, serum markers are not liver-specific, and a single serum marker is not enough to accurately reflect the degree of liver fibrosis. Furthermore, whether the non-invasive liver fiber diagnostic model is suitable for patients with liver disease in China remains to be further verified. At present, transient elastography has been recommended for the non-invasive staging of hepatic fibrosis by the clinical practice guidelines of the European Association for liver Research and the Asia-Pacific Association for liver Research. But as serum markers, it still has low sensitivity and specificity in the diagnosis of early hepatic fibrosis, and is highly operationally dependent. With the development of MRI technology, some MRI quantitative techniques, such as T1mapping, T2mapping,Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging(IVIM-DWI), dynamic contrast enhanced magnetic resonance imaging(DCE-MRI) can be used to qualitatively and quantitatively diagnosis of liver fat, hepatic fibrosis and cirrhosis. And iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification sequence(IDEALIQ) usually used to evaluate liver fat. The existing research results showed that MRI quantitative techniques has a high value in quantitative diagnosis of advanced hepatic fibrosis and cirrhosis. But it still has some limitations in quantitative diagnosis of early liver fibrosis. And what's more,some of the research results still can not reach a consensus. Therefore, based on the multi-parameter potential of MRI and the characteristics of metabolic evaluation. This study will adjust some of the parameters of MRI quantitative techniques, and through large sample datas, combined with a variety of quantitative techniques to explore the application value of MRI quantitative techniques in the quantitative diagnosis of liver diffuse lesions, especially in the early stage of liver fibrosis.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| F0 | Normal control group |
| |
| F1 | Grade 1 of liver fibrosis |
| |
| F2 | Grade 2 of liver fibrosis |
| |
| F3 | Grade 3 of liver fibrosis |
| |
| F4 | Hepatic cirrhosis |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Quantitative MRI imaging | Diagnostic Test | Dynamic contrast enhanced magnetic resonance imaging,Intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging,Iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification sequence |
| Measure | Description | Time Frame |
|---|---|---|
| Quantitative MRI imaging diagnose diffuse hepatic lesions | Quantitative MRI imaging(such as dynamic contrast enhanced magnetic, intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging resonance imaging, Intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging, Iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification sequence) used to quantitative diagnosis of fatty liver hepatitis, liver fibrosis, cirrhosis, etc. | 2 years |
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Inclusion Criteria:
Selection criteria for case group (F1-F4) (meet all the following 1-5 criteria can be selected or only meet the 6 criteria)
The selection criteria of the normal control group (F0) (meet all the following 1-4 criteria can be selected or only meet the 5 criteria):
Exclusion Criteria:
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All suspected patients with diffuse liver diseases meet the inclusion criteria will include in this study. And patients who meet the criteria of the normal control group will include in this study
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yujuan Qin, Master | Contact | 0086 756 2528321 | qinyj5@mail.sysu.edu.cn | |
| Shaolin Li, Director | Contact | 0086 756 2528321 | lishaolin1963@126.com |
| Name | Affiliation | Role |
|---|---|---|
| Shaolin Li, Director | Radiology Department,the Fifth Affiliated Hospital of Sun Yat-sen University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| 52 Meihua East Road, New Xiangzhou | Recruiting | Zhuhai | Guangdong | 519000 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28642059 | Background | Fan JG, Kim SU, Wong VW. New trends on obesity and NAFLD in Asia. J Hepatol. 2017 Oct;67(4):862-873. doi: 10.1016/j.jhep.2017.06.003. Epub 2017 Jun 19. | |
| 32207804 | Background | Sheka AC, Adeyi O, Thompson J, Hameed B, Crawford PA, Ikramuddin S. Nonalcoholic Steatohepatitis: A Review. JAMA. 2020 Mar 24;323(12):1175-1183. doi: 10.1001/jama.2020.2298. |
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| ID | Term |
|---|---|
| D005355 | Fibrosis |
| D005234 | Fatty Liver |
| D008103 | Liver Cirrhosis |
| ID | Term |
|---|---|
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D008107 | Liver Diseases |
| D004066 | Digestive System Diseases |
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Such as blood routine,liver function and liver enzyme,renal function, serous markers of liver fibrosis,blood lipid,indicators related to hepatitis virus infection,emergency biochemistry,etc.
|
| 21440669 | Background | Younossi ZM, Stepanova M, Afendy M, Fang Y, Younossi Y, Mir H, Srishord M. Changes in the prevalence of the most common causes of chronic liver diseases in the United States from 1988 to 2008. Clin Gastroenterol Hepatol. 2011 Jun;9(6):524-530.e1; quiz e60. doi: 10.1016/j.cgh.2011.03.020. Epub 2011 Mar 25. |
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