NCT06097338

Brief Summary

Ultrasound Derived Fat Fraction (UDFF) Evaluation of Metabolic Related Fatty Liver Disease (MAFLD) in obesity Patients Metabolic fatty liver disease (MAFLD), formerly known as Nonalcoholic Fatty Liver Disease (NAFLD), is the most common chronic liver disease in the world at present, with a incidence rate of about 30%. In the United States, NAFLD is the third leading cause of hepatocellular carcinoma, and early assessment and diagnosis of liver steatosis characteristics are crucial for timely treatment or intervention to reduce the risk of liver fibrosis and inhibit disease progression. Liver biopsy is considered as the "gold standard" for evaluating, grading, and determining inflammatory activity of liver steatosis and fibrosis. However, liver biopsy are invasive and pathological evaluation differences among observers, which makes it difficult to widely use and repeat, especially for dynamic evaluation of patients during the treatment process. Ultrasound Derviced Fat Fraction (UDFF) is a unique technology for non-invasive quantification of liver fat content, which is equipped on the Siemens ACUSON Sequoia ultrasound system. UDFF is calculated from two parameter values: attenuation coefficient (AC) and backscatter coefficient (BSC). SWE (shear wave elastography) is becoming widely used, and is recommended for the evaluation of liver fibrosis by some guidelines in patients with chronic liver diseases, such as viral hepatitis. These two technologies (UDFF+SWE) can be achieved on the same probe, and this detection technology is non-invasive, painless, simple, and reliable. Bariatric surgery (BS), also known as metabolic weight loss surgery, is currently recognized as the most significant and long-lasting method for treating obesity. It can significantly improve obesity related comorbidities, as well as long-term improvement in postoperative quality of life and mental state. This study will aim on analysis of the liver ultrasound characteristics of patients who plan to undergo bariatric surgery. By using UDFF and elastic shear wave technology (UDFF+SWE), a new non-invasive ultrasound evaluation method for MAFLD grading diagnosis of simple fatty liver, fatty hepatitis, liver fibrosis, and related cirrhosis will be proposed, and the incidence and risk factors of MAFLD in overweight and obese patients will be explored, The reversal effect of weight loss therapy on MAFLD in obese patients.

Trial Health

65
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Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
200

participants targeted

Target at P75+ for all trials

Timeline
4mo left

Started Oct 2023

Typical duration for all trials

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress89%
Oct 2023Sep 2026

Study Start

First participant enrolled

October 1, 2023

Completed
17 days until next milestone

First Submitted

Initial submission to the registry

October 18, 2023

Completed
6 days until next milestone

First Posted

Study publicly available on registry

October 24, 2023

Completed
2.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2026

Last Updated

October 24, 2023

Status Verified

October 1, 2023

Enrollment Period

2.9 years

First QC Date

October 18, 2023

Last Update Submit

October 18, 2023

Conditions

Keywords

metabolism related fatty liver disease (MAFLD)Ultrasound Derived Fat Fraction (UDFF)bariatric surgeryShear wave elastography

Outcome Measures

Primary Outcomes (1)

  • The combined detection of UDFF and SWE based on ultrasound images

    UDFF technology will be used to detect liver fat content in patients who plan to undergo weight loss surgery, while SWE will be used to monitor liver hardness. Pathological diagnosis will be used as the gold standard to determine the correlation between relevant feature quantities and fibrosis grade, inflammation grade grade, and lipid degeneration grade. Multiple regression equations will be established to form UDFF scores for different degrees of MAFLD and different grading diagnostic thresholds. Analyze its diagnostic effectiveness through internal and external verification methods.

    12 months

Study Arms (2)

MAFLD patients

MAFLD patients undergoing weight loss surgery

Procedure: bariatric surgery (BS)

healthy volunteers

healthy volunteers

Interventions

bariatric surgery (BS) is a very attractive choice for severely obese patients. After bariatric surgery, long-term weight loss (15%-25%) and diabetes remission can occur \[16\], as well as long-term mortality, cardiovascular events and tumor occurrence \[17\]. Regardless of the surgical procedure used for weight loss surgery, studies have shown that weight loss surgery can significantly reduce the liver NAFLD activity score (from 5 to 1), and 33.8% of patients have reduced liver fibrosis \[18\]. The follow-up results for a longer period of time (10 years) also indicate that weight loss surgery significantly reduces the occurrence of major adverse outcomes related to liver cirrhosis, liver cancer, liver transplantation, and liver related deaths

MAFLD patients

Eligibility Criteria

Age18 Years - 85 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

the hospitalized patients plan to undergo bariatric surgery in the First Affiliated Hospital of Shandong First Medical University \& Shandong Provincial Qianfoshan Hospital

You may qualify if:

  • Chinese citizens aged 18 ≤ 85;
  • Routine ultrasound reveals diffuse or non-uniform fatty liver disease in the liver;
  • Conform to the MAFLD diagnostic criteria issued by the international guidelines: histological (liver biopsy), imaging or blood biomarker evidence based on liver fat accumulation (hepatocyte steatosis), and combine one of the following three conditions: overweight/obesity (BMI ≥ 23 kg/m2), type 2 diabetes, and metabolic dysfunction. The definition of metabolic dysfunction is the presence of at least two of the following metabolic risk factors: 1. waist circumference (for Asians) ≥ 90/80 cm (male/female);2. Arterial blood pressure ≥ 130/85 mmHg is being treated with antihypertensive drugs; 3. Hypertriglyceridemia (TG): fasting serum TG ≥ 150 mg/dl (≥ 1.70 mmol/L) or being treated with lipid-lowering drugs; 4. High density lipoprotein cholesterol (HDL-c) emia: fasting serum HDL-c\<40 mg/dl (\<1.0 mmol/L) for males,\<50 mg/dl (\<1.3 mmol/L) for females, or specific medication treatment;5. Pre diabetes (i.e. fasting blood glucose level 100-125 mg/dl \[5.6-6.9 mmol/L\], or blood glucose level 140-199 mg/dl \[7.8-11.0 mmol\] 2 hours after meal or HbA1c 5.7% -6.4% \[39-47 mmol/mol\]);6. Steady state model evaluation of insulin resistance score ≥ 2.5;7. Plasma C-reactive protein levels\>2 mg/L.
  • Those who plan to undergo liver histopathological diagnosis or MRI-PDFF assessment of the degree of fatty liver within one week;
  • No significant risk of bleeding (platelet ≥ 50x109/L, international standardized ratio of prothrombin time INR ≤ 1.5);
  • The patient agrees to join this study and signs an informed consent form.

You may not qualify if:

  • \. No histopathological diagnosis or MRI-PDFF was found;
  • \. The interval between the ultrasound UDFF examination and the histopathological examination or MRI-PDFF examination is more than one week;
  • \. Pregnancy;
  • \. Incomplete medical history information.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (17)

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    PMID: 34762106BACKGROUND
  • Lassailly G, Caiazzo R, Buob D, Pigeyre M, Verkindt H, Labreuche J, Raverdy V, Leteurtre E, Dharancy S, Louvet A, Romon M, Duhamel A, Pattou F, Mathurin P. Bariatric Surgery Reduces Features of Nonalcoholic Steatohepatitis in Morbidly Obese Patients. Gastroenterology. 2015 Aug;149(2):379-88; quiz e15-6. doi: 10.1053/j.gastro.2015.04.014. Epub 2015 Apr 25.

    PMID: 25917783BACKGROUND
  • Bouchard P, Al-Masrouri S, Demyttenaere S, Court O, Andalib A. Long-term Impact of Bariatric Surgery on Major Adverse Cardiovascular Events in Patients with Obesity, Diabetes and Hypertension: a Population-level Study. Obes Surg. 2022 Mar;32(3):771-778. doi: 10.1007/s11695-021-05849-1. Epub 2022 Jan 21.

    PMID: 35060016BACKGROUND
  • Schauer PR, Bhatt DL, Kirwan JP, Wolski K, Aminian A, Brethauer SA, Navaneethan SD, Singh RP, Pothier CE, Nissen SE, Kashyap SR; STAMPEDE Investigators. Bariatric Surgery versus Intensive Medical Therapy for Diabetes - 5-Year Outcomes. N Engl J Med. 2017 Feb 16;376(7):641-651. doi: 10.1056/NEJMoa1600869.

    PMID: 28199805BACKGROUND
  • Ferraioli G, Filice C, Castera L, Choi BI, Sporea I, Wilson SR, Cosgrove D, Dietrich CF, Amy D, Bamber JC, Barr R, Chou YH, Ding H, Farrokh A, Friedrich-Rust M, Hall TJ, Nakashima K, Nightingale KR, Palmeri ML, Schafer F, Shiina T, Suzuki S, Kudo M. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 3: liver. Ultrasound Med Biol. 2015 May;41(5):1161-79. doi: 10.1016/j.ultrasmedbio.2015.03.007. Epub 2015 Mar 20.

    PMID: 25800942BACKGROUND
  • Ferraioli G, Wong VW, Castera L, Berzigotti A, Sporea I, Dietrich CF, Choi BI, Wilson SR, Kudo M, Barr RG. Liver Ultrasound Elastography: An Update to the World Federation for Ultrasound in Medicine and Biology Guidelines and Recommendations. Ultrasound Med Biol. 2018 Dec;44(12):2419-2440. doi: 10.1016/j.ultrasmedbio.2018.07.008. Epub 2018 Sep 9.

    PMID: 30209008BACKGROUND
  • Labyed Y, Milkowski A. Novel Method for Ultrasound-Derived Fat Fraction Using an Integrated Phantom. J Ultrasound Med. 2020 Dec;39(12):2427-2438. doi: 10.1002/jum.15364. Epub 2020 Jun 11.

    PMID: 32525261BACKGROUND
  • Ferraioli G, Kumar V, Ozturk A, Nam K, de Korte CL, Barr RG. US Attenuation for Liver Fat Quantification: An AIUM-RSNA QIBA Pulse-Echo Quantitative Ultrasound Initiative. Radiology. 2022 Mar;302(3):495-506. doi: 10.1148/radiol.210736. Epub 2022 Jan 25.

    PMID: 35076304BACKGROUND
  • Kim M, Kang BK, Jun DW. Comparison of conventional sonographic signs and magnetic resonance imaging proton density fat fraction for assessment of hepatic steatosis. Sci Rep. 2018 May 17;8(1):7759. doi: 10.1038/s41598-018-26019-x.

    PMID: 29773823BACKGROUND
  • Palmeri ML, Milkowski A, Barr R, Carson P, Couade M, Chen J, Chen S, Dhyani M, Ehman R, Garra B, Gee A, Guenette G, Hah Z, Lynch T, Macdonald M, Managuli R, Miette V, Nightingale KR, Obuchowski N, Rouze NC, Morris DC, Fielding S, Deng Y, Chan D, Choudhury K, Yang S, Samir AE, Shamdasani V, Urban M, Wear K, Xie H, Ozturk A, Qiang B, Song P, McAleavey S, Rosenzweig S, Wang M, Okamura Y, McLaughlin G, Chen Y, Napolitano D, Carlson L, Erpelding T, Hall TJ. Radiological Society of North America/Quantitative Imaging Biomarker Alliance Shear Wave Speed Bias Quantification in Elastic and Viscoelastic Phantoms. J Ultrasound Med. 2021 Mar;40(3):569-581. doi: 10.1002/jum.15609. Epub 2021 Jan 7.

    PMID: 33410183BACKGROUND
  • Osawa H, Mori Y. Sonographic diagnosis of fatty liver using a histogram technique that compares liver and renal cortical echo amplitudes. J Clin Ultrasound. 1996 Jan;24(1):25-9. doi: 10.1002/(SICI)1097-0096(199601)24:13.0.CO;2-N.

    PMID: 8655663BACKGROUND
  • Pai RK, Kleiner DE, Hart J, Adeyi OA, Clouston AD, Behling CA, Jain D, Kakar S, Brahmania M, Burgart L, Batts KP, Valasek MA, Torbenson MS, Guindi M, Wang HL, Ajmera V, Adams LA, Parker CE, Feagan BG, Loomba R, Jairath V. Standardising the interpretation of liver biopsies in non-alcoholic fatty liver disease clinical trials. Aliment Pharmacol Ther. 2019 Nov;50(10):1100-1111. doi: 10.1111/apt.15503. Epub 2019 Oct 3.

    PMID: 31583739BACKGROUND
  • Matteoni CA, Younossi ZM, Gramlich T, Boparai N, Liu YC, McCullough AJ. Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity. Gastroenterology. 1999 Jun;116(6):1413-9. doi: 10.1016/s0016-5085(99)70506-8.

    PMID: 10348825BACKGROUND
  • 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.

    PMID: 32207804BACKGROUND
  • Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, Harrison SA, Brunt EM, Sanyal AJ. The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases. Hepatology. 2018 Jan;67(1):328-357. doi: 10.1002/hep.29367. Epub 2017 Sep 29. No abstract available.

    PMID: 28714183BACKGROUND
  • Younossi ZM. Non-alcoholic fatty liver disease - A global public health perspective. J Hepatol. 2019 Mar;70(3):531-544. doi: 10.1016/j.jhep.2018.10.033. Epub 2018 Nov 9.

    PMID: 30414863BACKGROUND
  • Younossi ZM, Golabi P, Paik JM, Henry A, Van Dongen C, Henry L. The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology. 2023 Apr 1;77(4):1335-1347. doi: 10.1097/HEP.0000000000000004. Epub 2023 Jan 3.

    PMID: 36626630BACKGROUND

MeSH Terms

Conditions

Non-alcoholic Fatty Liver Disease

Interventions

Bariatric Surgery

Condition Hierarchy (Ancestors)

Fatty LiverLiver DiseasesDigestive System Diseases

Intervention Hierarchy (Ancestors)

BariatricsObesity ManagementTherapeuticsSurgical Procedures, Operative

Study Officials

  • Zhe Ma, MD,PHD

    Department of Ultrasound, Shandong Provincial Qianfoshan Hospital

    STUDY DIRECTOR

Central Study Contacts

Fangqiong Luo, MD, PHD

CONTACT

Meng Lan, MD

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 18, 2023

First Posted

October 24, 2023

Study Start

October 1, 2023

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

September 1, 2026

Last Updated

October 24, 2023

Record last verified: 2023-10

Data Sharing

IPD Sharing
Will not share