NCT05189990

Brief Summary

Non-alcoholic fatty liver disease (NAFLD) is a condition where hepatocytes contain an abnormally high fat percentage. This condition is becoming increasingly common due to unhealthy food habits and sedentary lifestyle. Since NAFLD is a silent disease, many patients would be diagnosed at the advanced stages when fat accumulation, scarring and liver cell damage are irreversible. Therefore, early diagnosis of fatty liver disease during its reversible stages is warranted. Current diagnostic techniques for fatty liver disease, such as the FibroScan® and MRI proton density fat fraction (PDFF) are expensive, and require the active work of certified professionals. Electrical Impedance Tomography (EIT) is an alternative low cost, non-invasive imaging technique that does not involve radiation nor a trained operator. The electrical conductivity of biological tissues varies according to the tissue type and frequency of AC current. Fat tissue conductivity is known to be substantially stable across the EIT current injection frequency spectrum. On the other hand, liver tissue conductivity significantly increases over frequency change. Hence, the liver fat content can be measured using frequency-difference EIT (fdEIT). The aim of this study is to investigate the feasibility and effectiveness of fdEIT in detecting fatty liver. To achieve this goal, a total of 160 subjects will be recruited, paired fdEIT-Fibroscan data will be acquired. First, optimal fdEIT current injection frequency range will be determined. Second, fdEIT derived indicators will be computed and statistical analysis will be performed to verify the significance of correlation between the two. Comparative exploration between EIT and MRI-PDFF will be performed on a subset of the study population, looking at both spatial localization and image derived indicators. Finally, demographics, clinical assessment and patient history will be analysed to produce demographic group-based insights.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
160

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Jan 2022

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

December 17, 2021

Completed
15 days until next milestone

Study Start

First participant enrolled

January 1, 2022

Completed
12 days until next milestone

First Posted

Study publicly available on registry

January 13, 2022

Completed
2.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 29, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

February 29, 2024

Completed
Last Updated

May 8, 2024

Status Verified

May 1, 2024

Enrollment Period

2.2 years

First QC Date

December 17, 2021

Last Update Submit

May 6, 2024

Conditions

Keywords

electrical impedancecontrolled attenuation parametermagnetic resonance imaging

Outcome Measures

Primary Outcomes (1)

  • Optimal electrical impedance tomography (EIT) injection frequencies for fatty liver detection

    The optimal EIT current injection frequencies used in the novel EIT-liver device for fatty liver assessment will be determined by gross data collection and fine-tuning, to shorten the EIT scan time

    24 months

Secondary Outcomes (1)

  • The performance characteristics of EIT liver device in hepatic steatosis assessment compared to transient elastography

    24 months

Interventions

Fatty liver patients will be recruited from the Department of Medicine at Queen Mary Hospital. Gender- and age- matched control subjects will be publicly recruited. Subjects will undergo the EIT-liver scan and FibroScan®. Selected subgroups will also undergo MRI-PDFF scan. The performance characteristics of the device and with respect to Fibroscan/ MRI-PDFF for liver fat quantification will be assessed.

Eligibility Criteria

Age20 Years - 75 Years
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Two populations will be included in this study: 1. Fatty liver patients: patients diagnosed with fatty liver disease at different stages of the disease according to hepatic steatosis grade (S1-S3). These patients will be recruited from the affiliated institution of the study team. 2. Controls: healthy subjects.

You may qualify if:

  • Fatty liver patients diagnosed with fatty liver at S1, S2 and S3 stages, will be included.
  • Control subjects will also be included (who do not have any known liver diseases). Healthy subjects will be chosen to be age and gender matched with case subjects.

You may not qualify if:

  • Subjects with previous liver diseases (in the control group) or any liver diseases other than fatty liver (in fatty liver patients).
  • Subjects who had any kind of liver surgery or liver transplantation.
  • Subjects with damaged skin on the abdomen.
  • Subjects with implanted electronic devices.
  • Subjects with spinal diseases/discomfort
  • Subjects who had any recent abdominal surgery
  • Pregnant women
  • Ascites
  • Heavy alcohol intake
  • Metallic implants

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The University of Hong Kong

Hong Kong, Select A State Or Province, 0000, China

Location

MeSH Terms

Conditions

Non-alcoholic Fatty Liver Disease

Condition Hierarchy (Ancestors)

Fatty LiverLiver DiseasesDigestive System Diseases

Study Officials

  • Lung-Yi Mak, MD

    The University of Hong Kong

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Clinical Assistant Professor

Study Record Dates

First Submitted

December 17, 2021

First Posted

January 13, 2022

Study Start

January 1, 2022

Primary Completion

February 29, 2024

Study Completion

February 29, 2024

Last Updated

May 8, 2024

Record last verified: 2024-05

Locations