Using Advances in Skin Imaging Technology and Genomics for the Early Detection and Prevention of Melanoma

Janda, Monika; Soyer, H. Peter

doi:10.1159/000493260

Cited by 12 publications

(12 citation statements)

References 7 publications

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“…Specific anatomic regions such as intertriginous areas, genitals, retroauricular area, or the flexor sides of the extremities may not always be adequately captured with 2-D TBP. Here, the use of 3-D TBP systems in defined postures can help to standardize the image acquisition as they generate a digital 3-D avatar of the imaged person that can be used to analyze and prospectively follow all nevi of interest [13,37,42]. Currently, an RCT is ongoing in Australia evaluating the efficacy of 3-D TBP combined with SDDI compared with regular skin examinations which may or may not use 2-D TBP with SDDI.…”

Section: Discussionmentioning

confidence: 99%

The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review

Hornung

Steeb

Wessely

et al. 2021

IJERPH

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Early detection of melanoma is critical to reduce the mortality and morbidity rates of this tumor. Total body photography (TBP) may aid in the early detection of melanoma. To summarize the current evidence on TBP for the early detection of melanoma, we performed a systematic literature search in Medline, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) for eligible records up to 6th August 2020. Outcomes of interest included melanoma incidence, incisional and excisional biopsy rates, as well as the Breslow’s index of detected tumors. Results from individual studies were described qualitatively. The risks of bias and applicability of the included studies was assessed using the QUADAS-2 checklist. In total, 14 studies published between 1997 and 2020 with an overall sample size of n = 12082 (range 100–4692) were included in the qualitative analysis. Individuals undergoing TBP showed a trend towards a lower Breslow’s thickness and a higher proportion of in situ melanomas compared to those without TBP. The number needed to excise one melanoma varied from 3:1 to 14.3:1 and was better for lesions that arose de novo than for tracked ones. The included studies were judged to be of unclear methodological concern with specific deficiencies in the domains “flow and timing” and “reference standard”. The use of TBP can improve the early detection of melanoma in high-risk populations. Future studies are warranted to reduce the heterogeneity of phenotypic risk factor definition and the technical implementation of TBP. Artificial intelligence-assisted analysis of images derived from 3-D TBP systems and digital dermoscopy may further improve the early detection of melanoma.

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Section: Discussionmentioning

confidence: 99%

The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review

Hornung

Steeb

Wessely

et al. 2021

IJERPH

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“…We reviewed 502 outpatients, inpatients, and online patients with a history of herpes zoster in the pain clinic of China-Japan Friendship Hospital since 2017. Extracting some necessary traceable features as statistical data, what sort of data we needed was based on the literature reviews [ 5 , 6 , 11 ] and our clinical experience and included gender, age, numeric rating scale (NRS) score, rash site, Charlson Comorbidity Index (CCI) score, antiviral treatment and immunosuppression. Age refers to the age at the time of rash onset, and the NRS score is used to describe the intensity of acute herpetic neuralgia, which includes 11 integers between 0 and 10; the larger the number is, the more severe the pain.…”

Section: Methodsmentioning

confidence: 99%

“…Many studies have revealed the risk factors associated with PHN, including aging, acute pain intensity, underlying diseases, antiviral treatment or not, immunosuppressive state, etc. [ 5 , 6 ]. Considering any single factor, elderly people seem to be more susceptible to PHN, and patients with more severe acute pain are more likely to develop neuralia sequelae [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting Postherpetic Neuralgia in Patients with Herpes Zoster by Machine Learning: A Retrospective Study

2020

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Introduction: Postherpetic neuralgia (PHN) is a neuropathic pain secondary to shingles. Studies have shown that early pain intervention can reduce the incidence or intensity of PHN. The aim of this study was to predict whether a patient with acute herpetic neuralgia will develop PHN and to help clinicians make better decisions. Method: Five hundred two patients with shingles were reviewed and classified according to whether they had PHN. The risk factors associated with PHN were determined by univariate analysis. Logistic regression and random forest algorithms were used to do machine learning, and then the prediction accuracies of the two algorithms were compared, choosing the superior one to predict the next 60 new cases. Results: Age, NRS score, rash site, Charlson comorbidity index (CCI) score, antiviral therapy and immunosuppression were found related to the occurrence of PHN. The NRS score was the most closely related factor with an importance of 0.31. As for accuracy, the random forest was 96.24%, better than that of logistic regression in which the accuracy was 92.83%. Then, the random forest model was used to predict 60 newly diagnosed patients with herpes zoster, and the accuracy rate was 88.33% with a 95% confidence interval (CI) of 77.43-95.18%. Conclusions: This study provides an idea and a method in which, by analyzing the data of previous cases, we can develop a predictive model to predict whether patients with shingles will develop PHN.

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“…One of the most promising approaches involves automated three-dimensional (3D) imaging of subjects, allowing objective documentation of all existing lesions and monitoring changes over time. The VECTRA WB360 system described previously19 20 allows fast 3D TBP and construction of a patient avatar, along with integrated dermoscopy. Consumer feedback indicates high acceptability and confidence in the technology for skin monitoring, and importantly, whole body imaging may reduce melanoma-related anxiety 19.…”

Section: Introductionmentioning

confidence: 99%

“…The VECTRA WB360 system described previously19 20 allows fast 3D TBP and construction of a patient avatar, along with integrated dermoscopy. Consumer feedback indicates high acceptability and confidence in the technology for skin monitoring, and importantly, whole body imaging may reduce melanoma-related anxiety 19. The advances in total-body imaging in recent years were unprecedented, and now enable high resolution 3D imaging in minutes.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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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 analysisThis 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 disseminationThis 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 numberANZCTR12618000267257; Pre-results.

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Using Advances in Skin Imaging Technology and Genomics for the Early Detection and Prevention of Melanoma

Cited by 12 publications

References 7 publications

The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review

The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review

Predicting Postherpetic Neuralgia in Patients with Herpes Zoster by Machine Learning: A Retrospective Study

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

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