Cited by 20Cutaneous Melanoma Detection and Managementmelanin and skin pigmentationDermatologic Treatments and Research

ACEMID Cohort Study: Protocol of a Prospective Cohort Study Using 3D Total Body Photography for Melanoma Imaging and Diagnosis

Open access
Koh, Uyen, Cust, Anne E, Fernández-Peñas, Pablo, Mann, Graham, Morton, Rachael, Wolfe, Rory, Payne, Elizabeth, Horsham, Caitlin +6 more·2023·BMJ Open

Abstract

Introduction: Three-dimensional (3D) total body photography may improve early detection of melanoma and facilitate surveillance, leading to better prognosis and lower healthcare costs. The Australian Centre of Excellence in Melanoma Imaging and Diagnosis (ACEMID) cohort study will assess long-term outcomes from delivery of a precision strategy of monitoring skin lesions using skin surface imaging technology embedded into health services across Australia. Methods and analysis: A prospective cohort study will enrol 15 000 participants aged 18 years and above, across 15 Australian sites. Participants will attend study visits according to their melanoma risk category: very high risk, high risk or low/average risk, every 6, 12 and 24 months, respectively, over 3 years. Participants will undergo 3D total body photography and dermoscopy imaging at study visits. A baseline questionnaire will be administered to collect sociodemographic, phenotypic, quality of life and sun behaviour data. A follow-up questionnaire will be administered every 12 months to obtain changes in sun behaviour and quality of life. A saliva sample will be collected at the baseline visit from a subsample. Ethics and dissemination: The ACEMID cohort study was approved by the Metro South Health Human Research Ethics Committee (approval number: HREC/2019/QMS/57206) and the University of Queensland Human Research Ethics Committee (approval number: 2019003077). The findings will be reported through peer-reviewed and lay publications and presentations at conferences. Trial registration number: ACTRN12619001706167.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bmjopen-2023-072788

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 27 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Koh, U., Cust, A. E., Fernández-Peñas, P., Mann, G., Morton, R., Wolfe, R., Payne, E., Horsham, C., Kwaan, G., Mahumud, R. A., Sashindranath, M., Soyer, H. P., Mar, V., & Janda, M.
Affiliations
  • The University of Queensland (AU)
  • The University of Sydney (AU)
  • Australian National University (AU)
  • Monash University (AU)
  • The Alfred Hospital (AU)
Corresponding author
Koh, Uyen
Venue
BMJ Open
Publisher
BMJ
Published
2023-09
Volume
13
Issue
9
Pages
e072788
ISSN
2044-6055 (ISSN-L)
OpenAlex
W4387143115
Cited by
20
References
27
Citations by year
2026: 3 · 2025: 12 · 2024: 5
FWCI
2.44
Type
journal article
Language
en
Open access
Locations
  • BMJ Open (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • ANU Open Research (Australian National University) (submittedVersion, cc-by-nc-nd)
Funders
  • University of Sydney, Robinson Fellowship (N/A)
  • Australian Cancer Research Foundation (N/A)
  • NHMRC Centres of Research Excellence (2006551, APP1135285)
  • NHMRC (2001517, 2008454, 2009923, APP1137127, APP1151021, APP1194703)
Topics
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
  • Health Sciences › Medicine › Dermatology › Dermatologic Treatments and Research
Keywords
melanoma, skin surface imaging, dermoscopy, melanoma surveillance, early detection, skin lesion monitoring, quality of life, salivary biomarkers
MeSH terms
Australia, Humans, Melanoma, Photography, Prospective Studies, Quality of Life, Cohort Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review