- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04626492
Quantitative MRI Imaging in Diffuse Liver Diseases (QMIDLD)
February 19, 2021 updated by: ShaoLin Li, Fifth Affiliated Hospital, Sun Yat-Sen University
Clinical Study on the Value of Quantitative MRI Imaging in Diffuse Liver Diseases
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.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Anticipated)
150
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Shaolin Li, Director
- Phone Number: 0086 756 2528321
- Email: lishaolin1963@126.com
Study Contact Backup
- Name: Yujuan Qin, Master
- Phone Number: 0086 756 2528321
- Email: qinyj5@mail.sysu.edu.cn
Study Locations
-
-
Guangdong
-
Zhuhai, Guangdong, China, 519000
- Recruiting
- 52 Meihua East Road, New Xiangzhou
-
Contact:
- Shaolin Li, Doctor
- Phone Number: 0086 756 2528321
- Email: lishaolin1963@126.com
-
Contact:
- Yujuan Qin, Master
- Phone Number: 0086 756 2528321
- Email: qinyj5@mail.sysu.edu.cn
-
Principal Investigator:
- Shaolin Li, Doctor
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 75 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
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
Description
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)
- Fatty liver, liver fibrosis or cirrhosis confirmed by clinical, biochemical, imaging examination and liver biopsy;
- no secondary portal hypertension and increase alpha feto protein(AFP);
- no thrombus or plaque in the portal vein and abdominal aorta;
- no history of psychotropic drug addiction;
- MRI examination three days before liver puncture or liver transplantation;
- isolated liver of patients undergoing liver transplantation.
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):
- no known acute or chronic liver disease (serologically negative);
- no history of alcoholism, and normal liver function tests;
- no signs of chronic liver disease in CT or MRI;
- no CT or MRI manifestations of focal or diffuse liver disease in the liver;
- abandoned donor liver
Exclusion Criteria:
- contraindications for MRI or patients' inability to cooperate with MRI;
- allergy to contrast media and poor image quality can not meet the needs of clinical diagnosis;
- less than 18 years of age, poor quality of liver biopsy;
- renal insufficiency (eGFP < 60ml/min/1.73mm2);
- with severe heart, brain, lung and blood system diseases.
- liver complicated with fulminant liver failure and gastrointestinal bleeding.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
F0
Normal control group
|
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
|
F1
Grade 1 of liver fibrosis
|
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
|
F2
Grade 2 of liver fibrosis
|
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
|
F3
Grade 3 of liver fibrosis
|
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
|
F4
Hepatic cirrhosis
|
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
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Quantitative MRI imaging diagnose diffuse hepatic lesions
Time Frame: 2 years
|
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
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Shaolin Li, Director, Radiology Department,the Fifth Affiliated Hospital of Sun Yat-sen University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Wai CT, Greenson JK, Fontana RJ, Kalbfleisch JD, Marrero JA, Conjeevaram HS, Lok AS. A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C. Hepatology. 2003 Aug;38(2):518-26. doi: 10.1053/jhep.2003.50346.
- Poynard T, Lenaour G, Vaillant JC, Capron F, Munteanu M, Eyraud D, Ngo Y, M'Kada H, Ratziu V, Hannoun L, Charlotte F. Liver biopsy analysis has a low level of performance for diagnosis of intermediate stages of fibrosis. Clin Gastroenterol Hepatol. 2012 Jun;10(6):657-63.e7. doi: 10.1016/j.cgh.2012.01.023. Epub 2012 Feb 14.
- 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.
- 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.
- 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. Erratum In: JAMA. 2020 Apr 28;323(16):1619.
- Dong XQ, Wu Z, Zhao H, Wang GQ; China HepB-Related Fibrosis Assessment Research Group. Evaluation and comparison of thirty noninvasive models for diagnosing liver fibrosis in chinese hepatitis B patients. J Viral Hepat. 2019 Feb;26(2):297-307. doi: 10.1111/jvh.13031. Epub 2018 Nov 28.
- Thiele M, Detlefsen S, Sevelsted Moller L, Madsen BS, Fuglsang Hansen J, Fialla AD, Trebicka J, Krag A. Transient and 2-Dimensional Shear-Wave Elastography Provide Comparable Assessment of Alcoholic Liver Fibrosis and Cirrhosis. Gastroenterology. 2016 Jan;150(1):123-33. doi: 10.1053/j.gastro.2015.09.040. Epub 2015 Oct 3.
- Wu S, Yang Z, Zhou J, Zeng N, He Z, Zhan S, Jia J, You H. Systematic review: diagnostic accuracy of non-invasive tests for staging liver fibrosis in autoimmune hepatitis. Hepatol Int. 2019 Jan;13(1):91-101. doi: 10.1007/s12072-018-9907-5. Epub 2018 Nov 15.
- Zhang YN, Fowler KJ, Hamilton G, Cui JY, Sy EZ, Balanay M, Hooker JC, Szeverenyi N, Sirlin CB. Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging. Br J Radiol. 2018 Sep;91(1089):20170959. doi: 10.1259/bjr.20170959. Epub 2018 Jun 6.
- Singh S, Venkatesh SK, Wang Z, Miller FH, Motosugi U, Low RN, Hassanein T, Asbach P, Godfrey EM, Yin M, Chen J, Keaveny AP, Bridges M, Bohte A, Murad MH, Lomas DJ, Talwalkar JA, Ehman RL. Diagnostic performance of magnetic resonance elastography in staging liver fibrosis: a systematic review and meta-analysis of individual participant data. Clin Gastroenterol Hepatol. 2015 Mar;13(3):440-451.e6. doi: 10.1016/j.cgh.2014.09.046. Epub 2014 Nov 20.
- Li Z, Sun J, Chen L, Huang N, Hu P, Hu X, Han G, Zhou Y, Bai W, Niu T, Yang X. Assessment of liver fibrosis using pharmacokinetic parameters of dynamic contrast-enhanced magnetic resonance imaging. J Magn Reson Imaging. 2016 Jul;44(1):98-104. doi: 10.1002/jmri.25132. Epub 2015 Dec 28.
- Wu CH, Ho MC, Jeng YM, Liang PC, Hu RH, Lai HS, Shih TT. Assessing hepatic fibrosis: comparing the intravoxel incoherent motion in MRI with acoustic radiation force impulse imaging in US. Eur Radiol. 2015 Dec;25(12):3552-9. doi: 10.1007/s00330-015-3774-4. Epub 2015 May 20.
- Li J, Liu H, Zhang C, Yang S, Wang Y, Chen W, Li X, Wang D. Native T1 mapping compared to ultrasound elastography for staging and monitoring liver fibrosis: an animal study of repeatability, reproducibility, and accuracy. Eur Radiol. 2020 Jan;30(1):337-345. doi: 10.1007/s00330-019-06335-0. Epub 2019 Jul 23.
- Hoffman DH, Ayoola A, Nickel D, Han F, Chandarana H, Shanbhogue KP. T1 mapping, T2 mapping and MR elastography of the liver for detection and staging of liver fibrosis. Abdom Radiol (NY). 2020 Mar;45(3):692-700. doi: 10.1007/s00261-019-02382-9.
- Loomba R, Neuschwander-Tetri BA, Sanyal A, Chalasani N, Diehl AM, Terrault N, Kowdley K, Dasarathy S, Kleiner D, Behling C, Lavine J, Van Natta M, Middleton M, Tonascia J, Sirlin C; NASH Clinical Research Network. Multicenter Validation of Association Between Decline in MRI-PDFF and Histologic Response in NASH. Hepatology. 2020 Oct;72(4):1219-1229. doi: 10.1002/hep.31121. Epub 2020 Oct 9.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
August 1, 2020
Primary Completion (Anticipated)
July 31, 2022
Study Completion (Anticipated)
December 31, 2022
Study Registration Dates
First Submitted
November 10, 2020
First Submitted That Met QC Criteria
November 10, 2020
First Posted (Actual)
November 12, 2020
Study Record Updates
Last Update Posted (Actual)
February 21, 2021
Last Update Submitted That Met QC Criteria
February 19, 2021
Last Verified
February 1, 2021
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- ZDWY.FSK.005
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
No
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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