Trial Outcomes & Findings for Ultrasound-Based Liver Fat Quantification (LFQ) Pilot Study (NCT NCT04657523)

NCT ID: NCT04657523

Last Updated: 2026-01-23

Results Overview

For each biomarker per subject, multiple quantitative measurements were acquired on the same day by two different operators. To assess the correlation between subject averaged measurements derived from the investigational LFQ feature and the 'clinical' MRI-PDFF fat fraction obtained from the subject's medical record. Correlation of each ultrasound biomarker with the liver fat percentage reported from MRI-PDFF is assessed independently to evaluate individual biomarker performance. A higher attenuation value indicates worse liver condition, while a lower attenuation value suggests better liver status.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

60 participants

Primary outcome timeframe

Intra-procedural (1 day)

Results posted on

2026-01-23

Participant Flow

Participant milestones

Participant milestones
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
Overall Study
STARTED
60
Overall Study
COMPLETED
60
Overall Study
NOT COMPLETED
0

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

Ultrasound-Based Liver Fat Quantification (LFQ) Pilot Study

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=60 Participants
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
Age, Categorical
<=18 years
0 Participants
n=270 Participants
Age, Categorical
Between 18 and 65 years
51 Participants
n=270 Participants
Age, Categorical
>=65 years
9 Participants
n=270 Participants
Age, Continuous
53.7 years
STANDARD_DEVIATION 12.9 • n=270 Participants
Sex: Female, Male
Female
38 Participants
n=270 Participants
Sex: Female, Male
Male
22 Participants
n=270 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
4 Participants
n=270 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
56 Participants
n=270 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
n=270 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
n=270 Participants
Race (NIH/OMB)
Asian
2 Participants
n=270 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
n=270 Participants
Race (NIH/OMB)
Black or African American
5 Participants
n=270 Participants
Race (NIH/OMB)
White
51 Participants
n=270 Participants
Race (NIH/OMB)
More than one race
0 Participants
n=270 Participants
Race (NIH/OMB)
Unknown or Not Reported
2 Participants
n=270 Participants
Region of Enrollment
United States
60 participants
n=270 Participants

PRIMARY outcome

Timeframe: Intra-procedural (1 day)

Population: Each enrolled subject underwent up to two ultrasound scans conducted by two different operators, resulting in a total of 119 non missing scans reviewed for this study. The primary outcome measure, the Hepatorenal Index, was calculated based on these scans. The hepatorenal index measurement from each ultrasound scan was reviewed.

For each biomarker per subject, multiple quantitative measurements were acquired on the same day by two different operators. The difference between the two operators was calculated at the subject level by averaging multiple measurements. To assess the correlation between measurements derived from the investigational LFQ feature and the 'clinical' MRI-PDFF fat fraction obtained from the subject's medical record. A higher HRI value indicates greater liver fat accumulation, which reflects a worse outcome, while a lower HRI suggests less hepatic fat and a better outcome.

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=119 ultrasounds scans
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
Correlation of the Liver Fat Percentage Reported From MRI-PDFF With Measurements Hepatorenal Index (HRI) of Ultrasound Biomarkers for Liver Fat.
1.6 Hepatorenal Index
Standard Deviation 0.7

PRIMARY outcome

Timeframe: Intra-procedural (1 day)

Population: Each enrolled subject underwent up to two ultrasound scans conducted by two different operators, resulting in a total of 120 scans reviewed for this study. The primary outcome measure, the Acoustic Attenuation (dB/cm/MHZ), was evaluated based on these scans.

For each biomarker per subject, multiple quantitative measurements were acquired on the same day by two different operators. To assess the correlation between subject averaged measurements derived from the investigational LFQ feature and the 'clinical' MRI-PDFF fat fraction obtained from the subject's medical record. Correlation of each ultrasound biomarker with the liver fat percentage reported from MRI-PDFF is assessed independently to evaluate individual biomarker performance. A higher attenuation value indicates worse liver condition, while a lower attenuation value suggests better liver status.

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=120 Ultrasound scans
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
Correlation of the Liver Fat Percentage Reported From MRI-PDFF With Measurements of Acoustic Attenuation (dB/cm/MHZ) Ultrasound Biomarker for Liver Fat.
1.0 dB/cm/MHZ
Standard Deviation 0.7

PRIMARY outcome

Timeframe: Intra-procedural (1 day)

Population: Each enrolled subject underwent up to two ultrasound scans conducted by two different operators, resulting in a total of 120 scans reviewed for this study. The primary outcome measure, the Tissue Stiffness, was evaluated based on these scans.

For each biomarker per subject, multiple quantitative measurements were acquired on the same day by two different operators. To assess the correlation between subject averaged measurements derived from the investigational LFQ feature and the 'clinical' MRI-PDFF fat fraction obtained from the subject's medical record. This measured the MRI PDFF fat fraction used as the standard to evaluate the Tissue stiffness (kPa) measurements. Correlation of each ultrasound biomarker with the liver fat percentage reported from MRI-PDFF is assessed independently to evaluate individual biomarker performance.

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=120 Ultrasound scans
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
Correlation of the Liver Fat Percentage Reported From MRI-PDFF With Measurements of Tissue Stiffness (kPa) Ultrasound Biomarker for Liver Fat.
5.9 kPa
Standard Deviation 1.8

SECONDARY outcome

Timeframe: Intra-procedural (1 day)

Population: The analysis included 119 ultrasound scans, performed by two different operators, from 60 enrolled participants. One participant scan was excluded due to missing Hepatorenal Index (HRI) data. The hepatorenal index measurement was calculated from each ultrasound scan and the difference between the two operators was reviewed.

To assess the difference in quantitative ultrasound biomarker measurements which acquired from the same subject on the same day by two different operators who have undergone standardized training for LFQ data acquisition. The difference between the two operators was calculated at the subject level by averaging multiple measurements. A higher HRI value indicates greater liver fat accumulation, which reflects a worse outcome, while a lower HRI suggests less hepatic fat and a better outcome.

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=119 ultrasound scans
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
To Evaluate the Same-day Inter-operator Variability for Investigating Biomarker "Hepatorenal Index (HRI)"
-0.1 Hepatorenal Index
Standard Deviation 0.4

SECONDARY outcome

Timeframe: Intra-procedural (1 day)

Population: To quantify the number of overall subjects with at least one unacceptable image quality

To evaluate the LFQ data acquisition failure rate, the proportion of subjects who have at least one unacceptable image quality due to inadequate acoustic scanning windows, motion artifacts, or other technical limitations

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=60 Participants
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
To Evaluate the LFQ Data Acquisition Failure Rate for Investigating Biomarker "Hepatorenal Index (HRI)"
1 Participants

SECONDARY outcome

Timeframe: Intra-procedural (1 day)

Population: 60 participants enrolled were included in the analysis.

To evaluate the LFQ data acquisition failure rate, the proportion of subjects who have at least one unacceptable image quality due to inadequate acoustic scanning windows, motion artifacts, or other technical limitations

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=60 Participants
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
To Evaluate the LFQ Data Acquisition Failure Rate for Investigating Biomarker Acoustic Attenuation (dB/cm/MHZ)
0 Participants

SECONDARY outcome

Timeframe: Intra-procedural (1 day)

Population: 60 participants enrolled were included in the analysis.

To evaluate the LFQ data acquisition failure rate, the proportion of subjects who have at least one unacceptable image quality due to inadequate acoustic scanning windows, motion artifacts, or other technical limitations

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=60 Participants
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
To Evaluate the LFQ Data Acquisition Failure Rate for Investigating Biomarker Tissue Stiffness (kPa)
1 Participants

SECONDARY outcome

Timeframe: Intra-procedural (1 day)

Population: The analysis included 120 ultrasound scans, performed by two different operators, from 60 enrolled participants. The Acoustic attenuation (dB/cm/MHZ) calculated from each ultrasound scan and the difference between the two operators was reviewed.

To assess the difference in quantitative ultrasound biomarker measurements which acquired from the same subject on the same day by two different operators who have undergone standardized training for LFQ data acquisition. The difference between the two operators was calculated at the subject level by averaging multiple measurements.

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=120 ultrasound scans
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
To Evaluate the Same-day Inter-operator Variability for Investigating Biomarker Acoustic Attenuation (dB/cm/MHZ)
0.0 dB/cm/MHZ
Standard Deviation 0.1

SECONDARY outcome

Timeframe: Intra-procedural (1 day)

Population: The analysis included 120 ultrasound scans, performed by two different operators, from 60 enrolled participants. The Tissue stiffness (kPa) was calculated from each ultrasound scan and the difference between the two operators was reviewed.

To assess the difference in quantitative ultrasound biomarker measurements which acquired from the same subject on the same day by two different operators who have undergone standardized training for LFQ data acquisition. The difference between the two operators was calculated at the subject level by averaging multiple measurements.

Outcome measures

Outcome measures
Measure
Investigational Ultrasound Imaging for Liver Fat Quantification
n=120 ultrasound scans
Investigational Liver Fat Quantification Software: All subjects enrolled in this study will undergo two abdominal ultrasound examinations using the investigational Liver Fat Quantification feature on the Philips EPIQ Ultrasound System. In addition, all subjects will also undergo one MRI-PDFF examination according to the clinical standard of care.
To Evaluate the Same-day Inter-operator Variability for Investigating Biomarker Tissue Stiffness (kPa)
0.1 Tissue stiffness (kPa)
Standard Deviation 1.9

Adverse Events

Investigational Ultrasound Imaging for Liver Fat Quantification

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Rob Johnson

Philips Ultrasound LLC.

Phone: 42527572756

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place