ArticleBMJ open2019
Evaluation of the efficacy of 3D total-body photography with sequential digital dermoscopy in a high-risk melanoma cohort: protocol for a randomised controlled trial.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Smartphone-based Structure-from-Motion for the remote assessment of trunk rotation in spine deformity.North American Spine Society journal · 2026Article
- DermIDS: Dermatology imaging data structure for scalable and interoperable AI systems.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Subclinical fields of BRAF V600E-mutant melanocytes populate human skin and are enriched around melanoma and naevi.The British journal of dermatology · 2026Article
- 3D Total Body Photography as a Promising Innovation for Early Skin Cancer Detection: Scoping Review.JMIR dermatology · 2025Article
- The Current State and Future Prospects for Artificial Intelligence in Dermatology.Dermatologic clinics · 2025Review
- A longitudinal dataset of tile and corresponding dermoscopic images with metadata for identifying skin cancers.Scientific data · 2025Article
- Asynchronous 3D Photography Is a Reliable Tool for the Assessment of Mycosis Fungoides Clinical Severity.The Australasian journal of dermatology · 2025Article
- Skin region images extracted from 3D total body photographs for lesion detection.Scientific data · 2025Article
- A multimodal vision foundation model for clinical dermatology.Nature medicine · 2025Article
- Review of Non-Invasive Imaging Technologies for Cutaneous Melanoma.Biosensors · 2025Review
- Development and Validation of a Total Body Photo-Numeric Freckling Density Scale.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection.Scientific data · 2024Article
- Overdiagnosis in Melanoma Screening: Is It a Real Problem?Dermatology practical & conceptual · 2023Article
- Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends.Journal of clinical medicine · 2022Review
- The Experience of 3D Total-Body Photography to Monitor Nevi: Results From an Australian General Population-Based Cohort Study.JMIR dermatology · 2022Article
- The Additive Value of 3D Total Body Imaging for Sequential Monitoring of Skin Lesions: A Case Series.Dermatology (Basel, Switzerland) · 2022Article
- Protocol to evaluate a pilot program to upskill clinicians in providing genetic testing for familial melanoma.PloS one · 2022Article
- Queensland Genomics: an adaptive approach for integrating genomics into a public healthcare system.NPJ genomic medicine · 2021Review
- A patient-centric dataset of images and metadata for identifying melanomas using clinical context.Scientific data · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMelanoma is Australia's fourth most common cancer. Early detection is fundamental in maximising health outcomes and minimising treatment costs. To date, population-based screening programmes have not been justified in health economic studies. However, a skin surveillance approach targeting high-risk individuals could improve the cost-benefit ratio. METHODS AND ANALYSIS: This paper describes a 2-year longitudinal randomised controlled trial (RCT) to compare routine clinical care (control) with an intensive skin surveillance programme (intervention) consisting of novel three-dimensional (3D) total-body photography (TBP), sequential digital dermoscopy and melanoma-risk stratification, in a high-risk melanoma cohort. Primary outcomes will evaluate clinical, economic and consumer impact of the intervention. Clinical outcomes will evaluate differences in the rate of lesion excisions/biopsies per person, benign to malignant ratio for excisions and thickness of melanomas diagnosed. A health economic analysis using government data repositories will capture healthcare utilisation and costs relating to skin surveillance. Consumer questionnaires will examine intervention acceptability, the psychological impact, and attitudes towards melanoma risk and sun protective behaviour. Secondary outcomes include the development of a holistic risk algorithm incorporating clinical, phenotypic and genetic factors to facilitate the identification of those most likely to benefit from this surveillance approach. Furthermore, the feasibility of integrating the intervention with teledermatology to enhance specialist care in remote locations will be evaluated. This will be the first RCT to compare a targeted surveillance programme utilising new 3D TBP technology against current routine clinical care for individuals at high risk of melanoma. ETHICS AND DISSEMINATION: This study has received Human Research Ethics Committee (HREC) approval from both Metro South Health HREC (HREC/17/QPAH/816) and The University of Queensland HREC (2018000074). TRIAL REGISTRATION NUMBER: ANZCTR12618000267257; Pre-results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.