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Kurtansky NR, D'Alessandro BM, Gillis MC, Betz-Stablein B, Cerminara SE, Garcia R, Girundi MA, Goessinger EV, Gottfrois P, Guitera P, Halpern AC, Jakrot V, Kittler H, Kose K, Liopyris K, Malvehy J, Mar VJ, Martin LK, Mathew T, Maul LV, Mothershaw A, Mueller AM, Mueller C, Navarini AA, Rajeswaran T, Rajeswaran V, Saha A, Sashindranath M, Serra-García L, Soyer HP, Theocharis G, Vos A, Weber J, Rotemberg V. The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection. Sci Data 2024; 11:884. [PMID: 39143096 PMCID: PMC11324883 DOI: 10.1038/s41597-024-03743-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 08/05/2024] [Indexed: 08/16/2024] Open
Abstract
AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and lend themselves to development of algorithms that can only be used by skilled clinicians. The SLICE-3D ("Skin Lesion Image Crops Extracted from 3D TBP") dataset described here addresses those concerns and contains images of over 400,000 distinct skin lesions from seven dermatologic centers from around the world. De-identified images were systematically extracted from sensitive 3D Total Body Photographs and are comparable in optical resolution to smartphone images. Algorithms trained on lower quality images could improve clinical workflows and detect skin cancers earlier if deployed in primary care or non-clinical settings, where photos are captured by non-expert physicians or patients. Such a tool could prompt individuals to visit a specialized dermatologist. This dataset circumvents many inherent limitations of prior datasets and may be used to build upon previous applications of skin imaging for cancer detection.
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Affiliation(s)
- Nicholas R Kurtansky
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
| | | | - Maura C Gillis
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Brigid Betz-Stablein
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia
| | - Sara E Cerminara
- Department of Dermatology, University Hospital of Basel, Basel, Switzerland
| | - Rafael Garcia
- Computer Vision and Robotics Institute, University of Girona, Girona, Spain
| | | | | | - Philippe Gottfrois
- Department of Dermatology, University Hospital of Basel, Basel, Switzerland
| | - Pascale Guitera
- Melanoma Institute Australia, Sydney, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Allan C Halpern
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | - Harald Kittler
- ViDIR Group, Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Kivanc Kose
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | - Josep Malvehy
- Dermatology Department, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER ER), Instituto de Salud Carlos III, Barcelona, Spain
| | - Victoria J Mar
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Victorian Melanoma Service, Alfred Hospital, 55 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Linda K Martin
- Melanoma Institute Australia, Sydney, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, Australia
| | | | - Lara Valeska Maul
- Department of Dermatology, University Hospital of Zurich, Zurich, Switzerland
| | - Adam Mothershaw
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia
| | - Alina M Mueller
- Department of Dermatology, University Hospital of Basel, Basel, Switzerland
| | - Christoph Mueller
- ViDIR Group, Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | | | | | | | - Anup Saha
- Computer Vision and Robotics Institute, University of Girona, Girona, Spain
| | - Maithili Sashindranath
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | | | - H Peter Soyer
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia
| | | | - Ayesha Vos
- Victorian Melanoma Service, Alfred Hospital, 55 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Jochen Weber
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Veronica Rotemberg
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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Strzelecki M, Kociołek M, Strąkowska M, Kozłowski M, Grzybowski A, Szczypiński PM. Artificial intelligence in the detection of skin cancer: State of the art. Clin Dermatol 2024; 42:280-295. [PMID: 38181888 DOI: 10.1016/j.clindermatol.2023.12.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2024]
Abstract
The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if detected early. For this reason, various systems of skin lesion image analysis, which support imaging diagnostics of this neoplasm, are developing very dynamically. To detect and recognize neoplastic lesions, such systems use various artificial intelligence (AI) algorithms. This area of computer science applications has recently undergone dynamic development, abounding in several solutions that are effective tools supporting diagnosticians in many medical specialties. In this contribution, a number of applications of different classes of AI algorithms for the detection of this skin melanoma are presented and evaluated. Both classic systems based on the analysis of dermatoscopic images as well as total body systems, enabling the analysis of the patient's whole body to detect moles and pathologic changes, are discussed. These increasingly popular applications that allow the analysis of lesion images using smartphones are also described. The quantitative evaluation of the discussed systems with particular emphasis on the method of validation of the implemented algorithms is presented. The advantages and limitations of AI in the analysis of lesion images are also discussed, and problems requiring a solution for more effective use of AI in dermatology are identified.
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Affiliation(s)
- Michał Strzelecki
- Institute of Electronics, Lodz University of Technology, Łódź, Poland.
| | - Marcin Kociołek
- Institute of Electronics, Lodz University of Technology, Łódź, Poland
| | - Maria Strąkowska
- Institute of Electronics, Lodz University of Technology, Łódź, Poland
| | - Michał Kozłowski
- Department of Mechatronics and Technical and IT Education, Faculty of Technical Science, University of Warmia and Mazury, Olsztyn, Poland
| | - Andrzej Grzybowski
- Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland
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Stark MS, Sturm RA, Pan Y, Smit DJ, Kommajosyula V, Lee KJ, Jagirdar K, McLean C, Duffy DL, Soyer HP, Mar VJ. Assessing the genetic risk of nodular melanoma using a candidate gene approach. Br J Dermatol 2024; 190:199-206. [PMID: 37766469 DOI: 10.1093/bjd/ljad365] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/28/2023] [Accepted: 09/21/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Nodular melanoma (NM) is a challenge to diagnose early due to its rapid growth and more atypical clinical presentation, making it the largest contributor to melanoma mortality. OBJECTIVES Our study aim was to perform a rare-variant allele (RVA) analysis of whole-exome sequencing of patients with NM and non-NM (minor allele frequency ≤ 1% non-Finnish European) for a set of 500 candidate genes potentially implicated in melanoma. METHODS This study recruited 131 participants with NM and 194 with non-NM from South-east Queensland and patients with NM from Victoria to perform a comparative analysis of possible genetic differences or similarities between the two melanoma cohorts. RESULTS Phenotypic analysis revealed that a majority of patients diagnosed with NM were older males with a higher frequency of fair skin and red hair than is seen in the general population. The distribution of common melanoma polygenic risk scores was similar in patients with NM and non-NM, with over 28% in the highest quantile of scores. There was also a similar frequency of carriage of familial/high-penetrant melanoma gene and loss-of-function variants. We identified 39 genes by filtering 500 candidate genes based on the greatest frequency in NM compared with non-NM cases. The genes with RVAs of greatest frequency in NM included PTCH1, ARID2 and GHR. Rare variants in the SMO gene, which interacts with PTCH1 as ligand and receptor, were also identified, providing evidence that the Hedgehog pathway may contribute to NM risk. There was a cumulative effect in carrying multiple rare variants in the NM-associated genes. A 14.8-fold increased ratio for NM compared with non-NM was seen when two RVAs of the 39 genes were carried by a patient. CONCLUSIONS This study highlights the importance of considering frequency of RVA to identify those at risk of NM in addition to known high penetrance genes.
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Affiliation(s)
- Mitchell S Stark
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld, Australia
| | - Richard A Sturm
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld, Australia
| | - Yan Pan
- Victorian Melanoma Service, The Alfred Hospital, Melbourne, Vic, Australia
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences
| | - Darren J Smit
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld, Australia
| | - Varsha Kommajosyula
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld, Australia
| | - Katie J Lee
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld, Australia
| | - Kasturee Jagirdar
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld, Australia
| | - Catriona McLean
- Victorian Melanoma Service, The Alfred Hospital, Melbourne, Vic, Australia
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences
| | - David L Duffy
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld, Australia
- QIMR Berghofer Medical Research Institute, Brisbane, Qld, Australia
| | - H Peter Soyer
- Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld, Australia
- Dermatology Department, Princess Alexandra Hospital, Brisbane, Qld, Australia
| | - Victoria J Mar
- Victorian Melanoma Service, The Alfred Hospital, Melbourne, Vic, Australia
- School of Public Health and Preventive Medicine; Monash University, Melbourne, Vic, Australia
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Koh U, Cust AE, Fernández-Peñas P, Mann G, Morton R, Wolfe R, Payne E, Horsham C, Kwaan G, Mahumud RA, Sashindranath M, Soyer HP, Mar V, Janda M. ACEMID cohort study: protocol of a prospective cohort study using 3D total body photography for melanoma imaging and diagnosis. BMJ Open 2023; 13:e072788. [PMID: 37770274 PMCID: PMC10546123 DOI: 10.1136/bmjopen-2023-072788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 08/20/2023] [Indexed: 09/30/2023] 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.
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Affiliation(s)
- Uyen Koh
- Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Anne E Cust
- The Daffodil Centre (A Joint Venture with Cancer Council NSW), The University of Sydney, Sydney, New South Wales, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
| | - Pablo Fernández-Peñas
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Department of Dermatology, Westmead Hospital, Sydney, New South Wales, Australia
| | - Graham Mann
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Rachael Morton
- NHMRC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Elizabeth Payne
- Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Caitlin Horsham
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Grace Kwaan
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Department of Dermatology, Westmead Hospital, Sydney, New South Wales, Australia
| | - Rashidul Alam Mahumud
- NHMRC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Maithili Sashindranath
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Hans Peter Soyer
- Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
- Dermatology Department, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Victoria Mar
- Victorian Melanoma Service, Alfred Health, Melbourne, Victoria, Australia
| | - Monika Janda
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
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Ahmedt-Aristizabal D, Nguyen C, Tychsen-Smith L, Stacey A, Li S, Pathikulangara J, Petersson L, Wang D. Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 232:107451. [PMID: 36893580 DOI: 10.1016/j.cmpb.2023.107451] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 02/23/2023] [Accepted: 02/26/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND AND OBJECTIVES Advanced artificial intelligence and machine learning have great potential to redefine how skin lesions are detected, mapped, tracked and documented. Here, we propose a 3D whole-body imaging system known as 3DSkin-mapper to enable automated detection, evaluation and mapping of skin lesions. METHODS A modular camera rig arranged in a cylindrical configuration was designed to automatically capture images of the entire skin surface of a subject synchronously from multiple angles. Based on the images, we developed algorithms for 3D model reconstruction, data processing and skin lesion detection and tracking based on deep convolutional neural networks. We also introduced a customised, user-friendly, and adaptable interface that enables individuals to interactively visualise, manipulate, and annotate the images. The interface includes built-in features such as mapping 2D skin lesions onto the corresponding 3D model. RESULTS The proposed system is developed for skin lesion screening, the focus of this paper is to introduce the system instead of clinical study. Using synthetic and real images we demonstrate the effectiveness of the proposed system by providing multiple views of a target skin lesion, enabling further 3D geometry analysis and longitudinal tracking. Skin lesions are identified as outliers which deserve more attention from a skin cancer physician. Our detector leverages expert annotated labels to learn representations of skin lesions, while capturing the effects of anatomical variability. It takes only a few seconds to capture the entire skin surface, and about half an hour to process and analyse the images. CONCLUSIONS Our experiments show that the proposed system allows fast and easy whole body 3D imaging. It can be used by dermatological clinics to conduct skin screening, detect and track skin lesions over time, identify suspicious lesions, and document pigmented lesions. The system can potentially save clinicians time and effort significantly. The 3D imaging and analysis has the potential to change the paradigm of whole body photography with many applications in skin diseases, including inflammatory and pigmentary disorders. With reduced time requirements for recording and documenting high-quality skin information, doctors could spend more time providing better-quality treatment based on more detailed and accurate information.
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Affiliation(s)
| | - Chuong Nguyen
- Imaging and Computer Vision group, CSIRO Data61, Australia.
| | | | | | - Shenghong Li
- Imaging and Computer Vision group, CSIRO Data61, Australia.
| | | | - Lars Petersson
- Imaging and Computer Vision group, CSIRO Data61, Australia.
| | - Dadong Wang
- Imaging and Computer Vision group, CSIRO Data61, Australia.
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Hona TWPT, Horsham C, Silva CV, Lawn C, Sanjida S, Gillespie N, Soyer HP, Janda M. Consumer views of melanoma early detection using 3D total-body photography: cross-sectional survey. Int J Dermatol 2023; 62:524-533. [PMID: 36707877 DOI: 10.1111/ijd.16578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/31/2022] [Accepted: 12/28/2022] [Indexed: 01/29/2023]
Abstract
BACKGROUND Three-dimensional (3D) total-body photography is a recent advance in melanoma early detection that can aid in monitoring and identifying new and changing skin lesions over time. METHODS A cross-sectional survey of adults living in metropolitan and rural areas of Australia was conducted to assess perceptions of 3D total-body photography. Participants completed a survey detailing their previous use of skin cancer photography, personal skin checking history, perceptions of 3D total-body photography, and willingness to pay. Participants were also asked to describe the potential barriers and facilitators of 3D total-body photography in their own words. RESULTS A total of 1056 participants completed the survey, with 739 (70%) from metropolitan areas of Australia and 317 (30%) from rural areas. Most participants (95%, n = 1004/1056) indicated they would consider using 3D total-body photography if it became commercially available at their regular medical practice. Most participants indicated 3D total-body photography would be effective to identify suspicious skin spots (94%, n = 995/1056), monitor lesion changes (94%, n = 997/1056), and reduce skin cancer related anxiety (90%, n = 950/1055). In open-ended feedback, participants (87%, n = 918/1056) identified perceived benefits, including more comprehensive screenings, earlier detection, and less human error. Participants (84%, n = 889/1056) also identified potential barriers to 3D total-body photography, including cost, accessibility and availability, trust in the technology, and digital security concerns. CONCLUSIONS Participant feedback indicated a high level of acceptance and confidence in the technology. To facilitate clinical translation, addressing consumer-identified barriers to 3D total-body photography will be vital.
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Affiliation(s)
- Te Wai Pounamu T Hona
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Caitlin Horsham
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Carina V Silva
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Craig Lawn
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Saira Sanjida
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Nicole Gillespie
- School of Business, Faculty of Business, Economics and Law, The University of Queensland, Brisbane, QLD, Australia
| | - H Peter Soyer
- Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Monika Janda
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
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7
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Jayasinghe D, Koh U, Plasmeijer EI, Menzies SW, Aitken JF, Soyer HP, Janda M, Green AC, Betz-Stablein B. The dynamic nature of naevi in adulthood: prospective population-based study using three-dimensional total-body photography. Br J Dermatol 2023; 188:437-439. [PMID: 36763731 DOI: 10.1093/bjd/ljac095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/03/2022] [Accepted: 11/26/2022] [Indexed: 01/22/2023]
Affiliation(s)
- Dilki Jayasinghe
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Uyen Koh
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Elsemieke I Plasmeijer
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,Netherlands Cancer Institute, Department of Dermatology, Amsterdam, the Netherlands
| | - Scott W Menzies
- Sydney Medical School, The University of Sydney, Camperdown, NSW, Australia.,Sydney Melanoma Diagnostic Centre, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Joanne F Aitken
- Cancer Council Queensland, Brisbane, QLD, Australia.,School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - H Peter Soyer
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, Australia.,Dermatology Department, Princess Alexandra Hospital, Brisbane, QLD, Australia.,Australian Skin and Skin Cancer Research Centre, Brisbane, QLD, Australia
| | - Monika Janda
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.,Australian Skin and Skin Cancer Research Centre, Brisbane, QLD, Australia
| | - Adele C Green
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,Australian Skin and Skin Cancer Research Centre, Brisbane, QLD, Australia.,CRUK Manchester Institute and University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Brigid Betz-Stablein
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, Australia
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8
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Rodriguez-Acevedo AJ, O'Hara M, Koh U, Betz-Stablein B, Horsham C, Soyer HP, Janda M. Can people take high-quality images using mobile dermatoscopes at home on easy-to-see and difficult-to-see body areas? J Eur Acad Dermatol Venereol 2023; 37:e155-e157. [PMID: 36197952 DOI: 10.1111/jdv.18633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 09/23/2022] [Indexed: 01/19/2023]
Affiliation(s)
- Astrid J Rodriguez-Acevedo
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia
| | - Montana O'Hara
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia.,Faculty of Medicine, Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Uyen Koh
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia
| | - Brigid Betz-Stablein
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia
| | - Caitlin Horsham
- Faculty of Medicine, Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
| | - H Peter Soyer
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia.,Dermatology Department, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Monika Janda
- Faculty of Medicine, Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia
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Jayasinghe D, Betz-Stablein B, Stark MS, Soyer HP, Janda M. Spatial Randomness in the Distribution of Acquired Melanocytic Nevi of the Back in a Population-Based Sample. J Invest Dermatol 2022; 143:1108-1111.e3. [PMID: 36525993 DOI: 10.1016/j.jid.2022.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 12/15/2022]
Affiliation(s)
- Dilki Jayasinghe
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Brigid Betz-Stablein
- Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia
| | - Mitchell S Stark
- Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia
| | - H Peter Soyer
- Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Australia; Dermatology Department, Princess Alexandra Hospital, Brisbane, Australia
| | - Monika Janda
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
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Primiero CA, Finnane A, Yanes T, Peach B, Soyer HP, McInerney-Leo AM. Protocol to evaluate a pilot program to upskill clinicians in providing genetic testing for familial melanoma. PLoS One 2022; 17:e0275926. [PMID: 36477719 PMCID: PMC9728910 DOI: 10.1371/journal.pone.0275926] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/22/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Genetic testing for hereditary cancers can improve long-term health outcomes through identifying high-risk individuals and facilitating targeted prevention and screening/surveillance. The rising demand for genetic testing exceeds the clinical genetic workforce capacity. Therefore, non-genetic specialists need to be empowered to offer genetic testing. However, it is unknown whether patient outcomes differ depending on whether genetic testing is offered by a genetics specialist or a trained non-genetics clinician. This paper describes a protocol for upskilling non-genetics clinicians to provide genetic testing, randomise high-risk individuals to receive testing from a trained clinician or a genetic counsellor, and then determine whether patient outcomes differed depending on provider-type. METHODS An experiential training program to upskill dermatologically-trained clinicians to offer genetic testing for familial melanoma is being piloted on 10-15 clinicians, prior to wider implementation. Training involves a workshop, comprised of a didactic learning presentation, case studies, simulated sessions, and provision of supporting documentation. Clinicians later observe a genetic counsellor led consultation before being observed leading a consultation. Both sessions are followed by debriefing with a genetic counsellor. Thereafter, clinicians independently offer genetic testing in the clinical trial. Individuals with a strong personal and/or family history of melanoma are recruited to a parallel-group trial and allocated to receive pre- and post- genetic testing consultation from a genetic counsellor, or a dermatologically-trained clinician. A mixed method approach measures psychosocial and behavioural outcomes. Longitudinal online surveys are administered at five timepoints from baseline to one year post-test disclosure. Semi-structured interviews with both patients and clinicians are qualitatively analysed. SIGNIFICANCE This is the first program to upskill dermatologically-trained clinicians to provide genetic testing for familial melanoma. This protocol describes the first clinical trial to compare patient-reported outcomes of genetic testing based on provider type (genetic counsellors vs trained non-genetic clinicians).
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Affiliation(s)
- Clare A. Primiero
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
| | - Anna Finnane
- The University of Queensland, School of Public Health, Brisbane, Australia
| | - Tatiane Yanes
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
| | - Betsy Peach
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
| | - H. Peter Soyer
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Aideen M. McInerney-Leo
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
- * E-mail:
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11
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Body Site Distribution of Acquired Melanocytic Naevi and Associated Characteristics in the General Population of Caucasian Adults: A Scoping Review. Dermatol Ther (Heidelb) 2022; 12:2453-2488. [PMID: 36180760 PMCID: PMC9588131 DOI: 10.1007/s13555-022-00806-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open
Abstract
The number of melanocytic naevi is a major risk factor for melanoma. The divergent pathway hypothesis proposes that the propensity for naevus proliferation and malignant transformation may differ by body site and exposure to ultraviolet (UV) radiation. This scoping review aimed to summarise the evidence on the number and distribution of naevi (≥ 2 mm) on the body overall and by individual anatomical sites in Caucasian adults, and to assess whether studies used the International Agency for Research on Cancer (IARC) protocol to guide naevus counting processes. Systematic searches of Embase and PubMed identified 661 potentially relevant studies, and 12 remained eligible after full-text review. Studies varied widely in their counting protocols, reporting of naevus counts overall and by body sites, and used counting personnel with differing qualifications. Only one study used the IARC protocol. Studies reported that the highest number of naevi was on the trunk in males and on the arms in females. Body sites which receive intermittent exposure to UV radiation had higher density of naevi. Larger naevi (≥ 5 mm) were detected mostly on body sites intermittently exposed to UV radiation, and smaller naevi (< 5 mm) on chronically exposed sites. Studies reported that environmental and behavioural aspects related to UV radiation exposure, as well as genetic factors, all impact body site and size distribution of naevi. This review found that to overcome limitations of the current evidence, future studies should use consistent naevus counting protocols. Skin surface imaging could improve the reliability of findings. An updated IARC protocol is required that integrates these emerging standards and technologies to guide reliable and reproducible naevus counting in the future.
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12
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Horsham C, O'Hara M, Sanjida S, Ma S, Jayasinghe D, Green AC, Schaider H, Aitken JF, Sturm RA, Prow T, Soyer HP, Janda M. The Experience of 3D Total-Body Photography to Monitor Nevi: Results From an Australian General Population-Based Cohort Study. JMIR DERMATOLOGY 2022; 5:e37034. [PMID: 37632874 PMCID: PMC10334884 DOI: 10.2196/37034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 04/28/2022] [Accepted: 05/13/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Digital 3D total-body photography of the skin surface is an emerging imaging modality that can facilitate the identification of new and changing nevi. OBJECTIVE We aimed to describe the experiences of study participants drawn from the general population who were provided 3D total-body photography and dermoscopy for the monitoring of nevi. METHODS A population-based prospective study of adults aged 20-70 years from South East Queensland, Australia was conducted. Participants underwent 3D total-body photography and dermoscopy every 6 months over a 3-year period. Participants were asked to provide closed and open-ended feedback on their 3D total-body photography and dermoscopy experience (eg, comfort, trust, intended future use, and willingness to pay) at the halfway study time point (18 months) and final study time point (36 months). We assessed changes in participants' reported experience of 3D total-body photography, and patient characteristics associated with patient experience at the end of the study (36 months) were analyzed. RESULTS A total of 149 participants completed the surveys at both the 18- and 36-month time points (median age 55, range 23-70 years; n=94, 63.1% were male). At the 18-month time point, most participants (n=103, 69.1%) stated they completely trusted 3D total-body imaging for the diagnosis and monitoring of their nevi, and this did not change at the 36-month (n=104, 69.8%) time point. The majority of participants reported that they were very comfortable or comfortable with the technology at both the 18- (n=138, 92.6%) and 36-month (n=140, 94%) time points, respectively; albeit, the number of participants reporting that they were very comfortable reduced significantly between the 18- and 36-month time points, from 71.1% (n=106) to 61.1% (n=91; P=.01). Almost all participants (n=140, 94%) would consider using this technology if it were to become commercially available, and this did not change during the two study time points. Half of the participants (n=74) cited barriers to participating in 3D total-body photography, including trust in the ability of this technology to detect and monitor suspicious lesions, digital privacy, cost, and travel requirements. CONCLUSIONS The majority of participants expressed positive attitudes toward 3D total-body photography for the monitoring of their moles. Half of the participants identified potential barriers to uptake.
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Affiliation(s)
- Caitlin Horsham
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Montana O'Hara
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Saira Sanjida
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Samantha Ma
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Dilki Jayasinghe
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Adele C Green
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Cancer Research UK Manchester Institute, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, United Kingdom
- Australian Skin and Skin Cancer Research Centre, Brisbane, Queensland, Australia
| | - Helmut Schaider
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Joanne F Aitken
- Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia
- Institute for Resilient Regions, University of Southern Queensland, Brisbane, Queensland, Australia
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Richard A Sturm
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Tarl Prow
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
- Skin Research Centre, York Biomedical Research Institute, Hull York Medical School, York, United Kingdom
| | - H Peter Soyer
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Monika Janda
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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13
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Ekanayake Weeramange C, Shu D, Tang KD, Batra J, Ladwa R, Kenny L, Vasani S, Frazer IH, Dolcetti R, Ellis JJ, Sturm RA, Leo P, Punyadeera C. Analysis of human leukocyte antigen associations in human papillomavirus-positive and -negative head and neck cancer: Comparison with cervical cancer. Cancer 2022; 128:1937-1947. [PMID: 35176174 PMCID: PMC9306518 DOI: 10.1002/cncr.34148] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 01/26/2022] [Accepted: 01/31/2022] [Indexed: 11/08/2022]
Abstract
Background Although the majority of human papillomavirus (HPV) infections are cleared by the immune system, a small percentage of them progress to develop HPV‐driven cancers. Cervical cancer studies highlight that HPV persistence and cancer risk are associated with genetic factors, especially at the human leukocyte antigen (HLA) genes. This study was conducted to investigate such associations in head and neck cancer (HNC). Methods In all, 192 patients with HNC and 384 controls were genotyped with the Infinium Global Screening Array (Illumina, Inc). HLA variants were imputed with SNP2HLA, and an association analysis was performed by logistic regression. Results HPV‐positive HNCs were significantly associated with single‐nucleotide polymorphisms (SNPs) at DRB1_32660090 (P = 1.728 × 10–6) and DRB1_32660116 (P = 1.728 × 10–6) and with the amino acid variant DRB1_11_32660115 (P = 1.728 × 10–6). None of these associations were observed in the HPV‐negative cohort, and this suggested their specificity to convey risk for HPV‐associated HNCs. In general, associations observed for HPV‐negative HNC were relatively weak, and variants in the HLA‐DPA1 region were the strongest among them (P = 4.531 × 10–4). Several lead signals reported by previous HNC genome‐wide association studies, including SNPs rs3135001 (P = .012), rs1049055 (P = .012), and rs34518860 (P = .029) and allele HLA‐DQB1*06 (P = .009), were replicated in the current study. However, these associations were limited to the HPV‐positive HNC group. Several cervical cancer–associated HLA variants, including SNPs rs9272143 (P = .002) and rs9271858 (P = .002) and alleles HLA‐B‐1501 (P = .009) and HLA‐B‐15 (P = .015), were also exclusively associated with HPV‐positive HNC. Conclusions HPV‐positive HNC risk is associated with distinct HLA variants, and some of them are shared by both cervical cancer and HPV‐positive HNC. Human papillomavirus (HPV)–positive head and neck cancer (HNC) risk is associated with distinct human leukocyte antigen variants, and some of them are shared by both cervical cancer and HPV‐positive HNC. Lay Summary Cervical cancer studies highlight that human papillomavirus (HPV)–driven cancer risk is linked with human leukocyte antigen (HLA) polymorphism. Hence, the current study was designed to investigate the HLA associations in HPV‐positive and HPV‐negative head and neck cancer (HNC) and compare these associations with cervical cancer. Several lead signals reported by previous HNC and cervical genome‐wide association studies were replicated in the current study. However, these associations were limited to the HPV‐positive HNC group, and this suggests that HPV‐positive HNC risk is associated with distinct HLA variants, and some of them are shared by both cervical cancer and HPV‐positive HNC.
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Affiliation(s)
- Chameera Ekanayake Weeramange
- Centre for Biomedical Technologies, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,Saliva and Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery and Menzies Health Institute Queensland, Southport, Queensland, Australia.,Translational Research Institute, Woolloongabba, Queensland, Australia.,Department of Medical Laboratory Sciences, Faculty of Health Sciences, Open University of Sri Lanka, Nugegoda, Sri Lanka
| | - Danhua Shu
- School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,Translational Research Institute, Woolloongabba, Queensland, Australia.,Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Kai Dun Tang
- Centre for Biomedical Technologies, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Jyotsna Batra
- School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Rahul Ladwa
- Department of Cancer Care Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.,Faculty of Medicine, University of Queensland, Herston, Queensland, Australia
| | - Lizbeth Kenny
- Faculty of Medicine, University of Queensland, Herston, Queensland, Australia.,Department of Cancer Care Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Sarju Vasani
- Faculty of Medicine, University of Queensland, Herston, Queensland, Australia.,Department of Otolaryngology, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Ian H Frazer
- Translational Research Institute, Woolloongabba, Queensland, Australia.,Faculty of Medicine, University of Queensland, Herston, Queensland, Australia
| | - Riccardo Dolcetti
- Faculty of Medicine, University of Queensland, Herston, Queensland, Australia.,Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria, Australia
| | - Jonathan J Ellis
- School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,Translational Research Institute, Woolloongabba, Queensland, Australia.,Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Richard A Sturm
- Diamantina Institute, University of Queensland, Woolloongabba, Queensland, Australia
| | - Paul Leo
- School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,Translational Research Institute, Woolloongabba, Queensland, Australia.,Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Chamindie Punyadeera
- Centre for Biomedical Technologies, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.,Saliva and Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery and Menzies Health Institute Queensland, Southport, Queensland, Australia.,Translational Research Institute, Woolloongabba, Queensland, Australia
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14
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Betz-Stablein B, Llewellyn S, Bearzi P, Grochulska K, Rutjes C, Aitken JF, Janda M, O'Rouke P, Soyer HP, Green AC. High variability in anatomic patterns of cutaneous photodamage: a population-based study. J Eur Acad Dermatol Venereol 2021; 35:1896-1903. [PMID: 33991136 DOI: 10.1111/jdv.17352] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 04/21/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Skin cancer is strongly associated with photodamaged skin, but body sites are often referred to as 'exposed' or 'unexposed' to sun without recognizing extent of site-specific variation. OBJECTIVES To assess whole-body patterns of photodamage in an Australian population. METHODS A random sample of adult residents of Queensland underwent imaging across 10 body sites. Photodamage was graded from images using an ordinal photonumeric scale. We used cluster analysis to identify whole-body photodamage patterns and prevalence proportion ratios (PPRs) to assess associated factors. RESULTS Of 190 adults (median age 52; 58% males), 58% showed severe or moderate-to-severe photodamage on most body sites. A higher proportion of woman had severe photodamage on the arms (upper: P = 0.002, lower: P = 0.034). A higher proportion of men had moderate or severe photodamage on the lower back (P = 0.004). We identified four photodamage patterns: 'severe general' (n = 24, 13%), 'moderate-severe general' (n = 86, 45%), 'moderate-severe v-neck' (n = 40, 21%) and 'mild-moderate upper body' (n = 12, 6%). All participants with 'severe-general' photodamage were >50 years and more likely to have past skin cancer (PPR: 2.54, 95% CI: 1.44-4.49) than those with 'moderate-severe v-neck' photodamage. Those with 'moderate-severe general' photodamage showed similar associations and were more likely female (PPR: 1.33, 95% CI: 1.04-1.69). Past or current smoking was associated with having higher levels of photodamage, with no smokers in those with 'mild-moderate upper body' photodamage. CONCLUSIONS Moderate-to-severe photodamage across much of the body is common in Queensland adults and associated with age, sex, past skin cancer and smoking. Assuming a universal pattern of site-specific sun exposure could lead to spurious correlations, while accurate and objective assessment of site-specific photodamage can add to understanding of the development of sun-associated skin cancers, in particular site-specific skin carcinogenesis. Additionally, degree of site-specific photodamage has the potential to assist skin cancer screening.
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Affiliation(s)
- B Betz-Stablein
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - S Llewellyn
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - P Bearzi
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia.,Università Vita-Salute San Raffaele, Milan, Lombardy, Italy
| | - K Grochulska
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - C Rutjes
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - J F Aitken
- Cancer Council Queensland, Brisbane, Queensland, Australia.,Institute for Resilient Regions, University of Southern Queensland, Brisbane, Queensland, Australia.,Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia.,School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - M Janda
- Centre of Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - P O'Rouke
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - H P Soyer
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia.,Centre of Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.,Dermatology Department, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Australian Skin and Skin Cancer Research Centre, Brisbane, Queensland, Australia
| | - A C Green
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Australian Skin and Skin Cancer Research Centre, Brisbane, Queensland, Australia.,CRUK Manchester Institute and University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
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15
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Rotemberg V, Kurtansky N, Betz-Stablein B, Caffery L, Chousakos E, Codella N, Combalia M, Dusza S, Guitera P, Gutman D, Halpern A, Helba B, Kittler H, Kose K, Langer S, Lioprys K, Malvehy J, Musthaq S, Nanda J, Reiter O, Shih G, Stratigos A, Tschandl P, Weber J, Soyer HP. A patient-centric dataset of images and metadata for identifying melanomas using clinical context. Sci Data 2021; 8:34. [PMID: 33510154 PMCID: PMC7843971 DOI: 10.1038/s41597-021-00815-z] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/18/2020] [Indexed: 11/09/2022] Open
Abstract
Prior skin image datasets have not addressed patient-level information obtained from multiple skin lesions from the same patient. Though artificial intelligence classification algorithms have achieved expert-level performance in controlled studies examining single images, in practice dermatologists base their judgment holistically from multiple lesions on the same patient. The 2020 SIIM-ISIC Melanoma Classification challenge dataset described herein was constructed to address this discrepancy between prior challenges and clinical practice, providing for each image in the dataset an identifier allowing lesions from the same patient to be mapped to one another. This patient-level contextual information is frequently used by clinicians to diagnose melanoma and is especially useful in ruling out false positives in patients with many atypical nevi. The dataset represents 2,056 patients (20.8% with at least one melanoma, 79.2% with zero melanomas) from three continents with an average of 16 lesions per patient, consisting of 33,126 dermoscopic images and 584 (1.8%) histopathologically confirmed melanomas compared with benign melanoma mimickers.
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Affiliation(s)
- Veronica Rotemberg
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Nicholas Kurtansky
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Brigid Betz-Stablein
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
| | - Liam Caffery
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
| | - Emmanouil Chousakos
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,University of Athens Medical School, Athens, Greece
| | | | - Marc Combalia
- Melanoma Unit, Dermatology Department, Hospital Cĺınic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain
| | - Stephen Dusza
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pascale Guitera
- Melanoma Institute Australia and Sydney Melanoma Diagnostic Center, Sydney, Australia
| | - David Gutman
- Emory University School of Medicine, Department of Biomedical Informatics, Atlanta, GA, USA
| | - Allan Halpern
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Harald Kittler
- Medical University of Vienna, Department of Dermatology, Vienna, Austria
| | - Kivanc Kose
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Steve Langer
- Division of Radiology Informatics, Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Josep Malvehy
- Melanoma Unit, Dermatology Department, Hospital Cĺınic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain
| | - Shenara Musthaq
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,SUNY Downstate Medical School, New York, NY, USA
| | - Jabpani Nanda
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Stony Brook Medical School, Stony Brook, NY, USA
| | - Ofer Reiter
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Rabin Medical Center, Tel Aviv, Israel
| | - George Shih
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
| | | | - Philipp Tschandl
- Medical University of Vienna, Department of Dermatology, Vienna, Austria
| | - Jochen Weber
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - H Peter Soyer
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
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16
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Yamada M, Lin LL, Hang LYT, Belt PJ, Peter Soyer H, Raphael AP, Prow TW. A minimally invasive clinical model to test sunscreen toxicity based on oxidative stress levels using microbiopsy and confocal microscopy - a proof of concept study. Int J Cosmet Sci 2020; 42:462-470. [PMID: 32619281 DOI: 10.1111/ics.12646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/28/2020] [Accepted: 06/25/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE This proof-of-concept study demonstrated that using minimally invasive skin microsampling could enable significantly higher throughput of cosmetic testing in volunteers than conventional biopsy. Nanoparticle sunscreen was used as a model to test toxicity based on oxidative stress using microbiopsy and confocal imaging. METHODS Six volunteers were recruited for this study (3 males and 3 females). Zinc oxide nanoparticle containing topical formulation was prepared at 10% w/v. Each volunteer had 3 areas of 4 cm2 each mapped on each inner forearm for a total of 6 treatment areas (intact/ tape-stripped and with/without treatment). The topical zinc-nanoparticle formulation was applied directly to volunteer skin (2mg/cm2 ) for 2 hrs. Microbiopsied tissue from each treatment group was stained for reactive oxygen and nitrogen species in addition to mitochondrial superoxide. The stained samples were then imaged using confocal microscopy prior to image analysis. RESULTS Skin exposed to zinc oxide nanoparticles did not show any significant increases in oxidative stress. Zinc oxide nanoparticle tape-stripped skin resulted in signal significantly lower (P < 0.001) oxidative stress levels than t-butylated hydroxytoluene treated tape-stripped skin for oxidative stress markers. Topically applied zinc oxide nanoparticles had no detectable effect on the oxidative status in volunteer skin. No adverse reactions or effects were observed after all treatments including microbiopsy. CONCLUSION The data support the hypothesis that microbiopsy is a viable approach to study cosmeceutical- skin interactions in volunteers with capacity for molecular assays and high throughput with very low risk to the volunteer.
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Affiliation(s)
- Miko Yamada
- Future Industries Institute, University of South Australia, Adelaide, Australia
| | - Lynlee L Lin
- The University of Queensland Diamantina Institute, School of Medicine, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
| | - Lydia Y T Hang
- The University of Queensland Diamantina Institute, School of Medicine, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
| | - Paul J Belt
- Department of Plastic and Reconstructive Surgery, Princess Alexandra Hospital, Brisbane, Australia
| | - H Peter Soyer
- The University of Queensland Diamantina Institute, School of Medicine, The University of Queensland, Dermatology Research Centre, Brisbane, Australia
| | - Anthony P Raphael
- Future Industries Institute, University of South Australia, Adelaide, Australia
| | - Tarl W Prow
- Future Industries Institute, University of South Australia, Adelaide, Australia
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17
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Janda M, Cust AE, Neale RE, Aitken JF, Baade PD, Green AC, Khosrotehrani K, Mar V, Soyer HP, Whiteman DC. Early detection of melanoma: a consensus report from the Australian Skin and Skin Cancer Research Centre Melanoma Screening Summit. Aust N Z J Public Health 2020; 44:111-115. [DOI: 10.1111/1753-6405.12972] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 12/01/2019] [Accepted: 01/01/2020] [Indexed: 12/24/2022] Open
Affiliation(s)
- Monika Janda
- Centre for Health Services Research, Faculty of MedicineThe University of Queensland
| | - Anne E. Cust
- Sydney School of Public Health and Melanoma Institute AustraliaThe University of Sydney New South Wales
| | | | | | | | - Adele C. Green
- QIMR Berghofer Medical Research Institute, Queensland
- CRUK Manchester Institute and University of ManchesterManchester Academic Health Sciences Centre UK
| | - Kiarash Khosrotehrani
- The University of Queensland Diamantina InstituteThe University of Queensland, Dermatology Research Centre Queensland
| | - Victoria Mar
- School of Public Health and Preventive MedicineMonash University Victoria
| | - H. Peter Soyer
- The University of Queensland Diamantina InstituteThe University of Queensland, Dermatology Research Centre Queensland
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18
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Betz-Stablein B, Koh U, Plasmeijer EI, Janda M, Aitken JF, Soyer HP, Green AC. Self-reported naevus density may lead to misclassification of melanoma risk. Br J Dermatol 2020; 182:1488-1490. [PMID: 31833052 DOI: 10.1111/bjd.18802] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- B Betz-Stablein
- Cancer and Population studies, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, QLD, Australia
| | - U Koh
- Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, QLD, Australia
| | - E I Plasmeijer
- Department of Dermatology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - M Janda
- Centre of Health Services Research, Faculty of Medicine, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, QLD, Australia.,School of Public Health and Social Work, Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - J F Aitken
- Cancer Council Queensland, Brisbane, QLD, Australia.,Institute for Resilient Regions, University of Southern Queensland, Brisbane, QLD, Australia.,Menzies Health Institute Queensland, Griffith University, Brisbane, QLD, Australia.,School of Public Health, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, QLD, Australia
| | - H P Soyer
- Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, QLD, Australia.,Dermatology Department, Princess Alexandra Hospital, Brisbane, QLD, Australia.,Australian Skin and Skin Cancer Research Centre, Brisbane, Queensland, Australia
| | - A C Green
- Cancer and Population studies, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,Australian Skin and Skin Cancer Research Centre, Brisbane, Queensland, Australia.,CRUK Manchester Institute and University of Manchester, Manchester Academic Health Sciences Centre, Manchester, U.K
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Primiero CA, McInerney-Leo AM, Betz-Stablein B, Whiteman DC, Gordon L, Caffery L, Aitken JF, Eakin E, Osborne S, Gray L, Smithers BM, Janda M, Soyer HP, Finnane A. 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. BMJ Open 2019; 9:e032969. [PMID: 31712348 PMCID: PMC6858160 DOI: 10.1136/bmjopen-2019-032969] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION Melanoma 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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Affiliation(s)
- Clare Amy Primiero
- The University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Aideen M McInerney-Leo
- The University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Brigid Betz-Stablein
- The University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - David C Whiteman
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Louisa Gordon
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Nursing, Queensland University of Technology, Brisbane, Queensland, Australia
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Liam Caffery
- The University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Joanne F Aitken
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
- Cancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia
- Institute for Resilient Religions, University of Southern Queensland, Springfield, Queensland, Australia
| | - Elizabeth Eakin
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Sonya Osborne
- School of Nursing and Midwifery, University of Southern Queensland, Toowoomba, Queensland, Australia
| | - Len Gray
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia
| | - B Mark Smithers
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- Queensland Melanoma Project, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Monika Janda
- The University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia
| | - H Peter Soyer
- The University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Anna Finnane
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
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