The COherence of Scatter Identification and Exclusion Algorithm Study

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

15 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-08-27

Study Completion Date

2025-06-30

Brief Summary

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Non-alcoholic fatty liver disease (NAFLD) is currently the most common liver condition worldwide; approximately 55% of the world population will have NAFLD by 2040. NAFLD is an unwanted side effect of common cancer therapies, such as chemotherapy. Ultrasound can detect NAFLD via measurement of the backscatter coefficient (BSC). It is an attractive technique because of its low cost and availability, potentially enabling earlier detection of NAFLD in a larger population through screening. This approach has shown promise in detecting NAFLD but is limited by variability in measurement due to several factors. Measurement of the BSC requires assumptions about the nature of the tissue being measured; if these assumptions are incorrect, they can lead to inaccurate BSC measurements. To improve accuracy, an algorithm (COSIE) was developed to quantify the suitability of tissue for BSC analysis. The investigators believe COSIE will enable more reliable BSC measurements by selecting the optimal regions of tissue to measure. By measuring the BSC in the livers of healthy volunteers and patients with evidence of fatty liver, the algorithm can be evaluated against liver fat percentage values obtained from MRI imaging. This study will assess whether applying the COSIE algorithm enhances the reliability of BSC measurements, bringing them closer in quality to MRI imaging.

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Detailed Description

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Conditions

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Steatohepatitis, Nonalcoholic

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Healthy Volunteers

Staff at Royal Marsden Hospital or Institute of Cancer Research

Ultrasound image processing

Intervention Type DEVICE

The COSIE study examines the coherence of ultrasound to improve the estimation of the backscatter coefficient.

Patients

Patients undergoing therapy/follow up for cancer with some evidence of non-alcoholic fatty liver disease.

Ultrasound image processing

Intervention Type DEVICE

The COSIE study examines the coherence of ultrasound to improve the estimation of the backscatter coefficient.

Interventions

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Ultrasound image processing

The COSIE study examines the coherence of ultrasound to improve the estimation of the backscatter coefficient.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

Healthy Volunteers:

* Healthy male or female adults (18 or above).
* Volunteers must consider themselves fit and healthy.
* RMH and/or ICR employees.

Patients:

* Patients undergoing liver MRI as part of clinical standard of care with evidence of steatosis on preceding MRI.
* Aged 18 and above.

Exclusion Criteria

Healthy Volunteers:

* Volunteers that are under investigation or planning to consult their GP to seek investigation for an undiagnosed condition, particularly regarding pelvic or abdominal disease or injury.
* Healthy volunteers who do not have an NHS number or who are not registered with a GP will be excluded.

Patients:

• Severe liver fibrosis (fibrosis stage F4) or severe cirrhosis.

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes