How Does Skin Tone Affect Quantitative Photoacoustic Imaging
PAISKINTONE
1 other identifier
observational
42
0 countries
N/A
Brief Summary
Photoacoustic imaging (PAI) is an emerging method which combines light and ultrasound to assess the blood content and oxygenation of the body. Light is absorbed by the blood, leading to the generation of ultrasound, from which the levels of oxygen can be derived. This high sensitivity to blood has seen it applied in multiple clinical trials for the assessment of a number of conditions including breast cancer assessment. However, the accuracy of the measurements and image quality is known to decrease as you look deeper into the body because light intensity decreases. Melanin in the skin is known to absorb light very strongly and so there is considerable concern that this may bias measurements made in people with darker skin tones compared to those with lighter skin tones. In this pilot study, we intend to recruit volunteers with a wide range of skin tones and vitiligo. We will scan a number of blood vessels and muscles using PAI and evaluate the photoacoustic measurements of blood content and oxygenation to identify, and ultimately correct for, biases in advance of further clinical studies.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Oct 2022
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
September 21, 2022
CompletedFirst Posted
Study publicly available on registry
September 26, 2022
CompletedStudy Start
First participant enrolled
October 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 15, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
October 15, 2023
CompletedSeptember 26, 2022
September 1, 2022
7 months
September 21, 2022
September 23, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Quantitative photoacoustic imaging
Identify biases in quantitative photoacoustic imaging when scanning people with different Fitzpatrick skin tones and Vitiligo.
1 year
Study Arms (7)
Vitiligo
Fitzpatrick Type 1
Fitzpatrick Type 2
Fitzpatrick Type 3
Fitzpatrick Type 4
Fitzpatrick Type 5
Fitzpatrick Type 6
Interventions
Photoacoustic imaging
Eligibility Criteria
Normal adult population across range of skin tones
You may qualify if:
- Voluntary adult non-vulnerable participants between the age of 20 to 70.
- Can understand the Information sheet and give informed consent in English.
- Normal or Overweight BMI (18.5 to 29.9)
You may not qualify if:
- No participants who cannot give informed consent.
- No tattoos or scarring of the regions to be imaged.
- No pulmonary sleep disorder, or active respiratory disorders that may affect the blood oxygenation levels.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Cambridgelead
- Cancer Research UKcollaborator
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 21, 2022
First Posted
September 26, 2022
Study Start
October 1, 2022
Primary Completion
April 15, 2023
Study Completion
October 15, 2023
Last Updated
September 26, 2022
Record last verified: 2022-09
Data Sharing
- IPD Sharing
- Will not share