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Introduction Basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and actinic keratosis (AK) are usually located on sun-exposed areas of the body. Aims Our main aims were to identify the common body site locations of BCC, SCC and AK in patients attending the Waikato District Health Board teledermoscopy clinic, also known as the Waikato Virtual Lesion Clinic, as well as to analyse whether the distribution of location changes with age and sex. Methods This is a retrospective study where the body site location of 3272 keratinocytic lesions was determined and analysed in 1864 patients attending the Waikato District Health Board teledermoscopy clinics between 2010 and 2021. Results All three types of lesion were most commonly located in the head and neck region (40.9% of BCCs, 38% of SCCs, 83.2% of AKs), followed by 26.8% on the trunk for BCC, 32.3% on the lower extremities for SCC, and 11.6% on the upper extremities for AK. Discussion Our findings of body site locations for keratinocytic lesions were consistent with other studies. Patients were commonly diagnosed with multiple keratinocytic lesions.

BACKGROUND Skin cancer rates are at all-time highs, but the shortage of dermatologists compels patients to seek medical advice from general practitioners. A new referral pathway called the Suspected Skin Cancer (SSC) service was established to provide general practitioners in Waikato, New Zealand, with rapid diagnosis and treatment advice for lesions suspicious for skin cancer. OBJECTIVE The aim of this study was to assess the quantity, quality, and characteristics of referrals to the SSC teledermatology service during its first 6 months. METHODS A retrospective chart review of all referrals sent to the SSC teledermatology service during the first 6 months of its operation was conducted. Time to advice, diagnoses, diagnostic discordance, adherence to advice, and time to treatment were recorded. Diagnostic discordance between general practitioners, dermatologists, and pathologists was calculated. RESULTS The SSC service received 340 referrals for 402 lesions. Dermatologists diagnosed 256 (63.7%) of these lesions as benign; 56 (13.9%) were histologically confirmed as malignant, including 19 (4.7%) melanomas. The overall discordance between referrer and dermatologist on specific and broad (ie, benign or malignant) diagnoses for 402 lesions was 47% and 26% (κ=0.58, SD 0.07), respectively; 44% and 26% (κ=0.61, SD 0.15) between referrer and pathologist; and 18% and 12% (κ=0.82, SD 0.12) between dermatologist and pathologist. The mean time between referral submission and receiving advice was 1.02 days. The average time to action (eg, excision) was 64.8 days. CONCLUSIONS An electronic referral system can be an effective form of teledermatology for providing prompt diagnosis and management advice for benign and malignant skin lesions.

BACKGROUND Patch testing is the gold standard diagnostic test for allergic contact dermatitis and needs to be relevant to the region and the population being tested. The aim of this study was to develop a specific New Zealand baseline series (NZBS). METHOD We performed a retrospective case note review of patients attending four regional patch test centres between 2008 and 2020. Demographic and diagnostic information was collected for each patient along with results of patch testing. Using the results of this review, a group of 11 dermatologists with an interest in contact dermatitis agreed on a core group of allergens for inclusion in an NZBS, based on the frequency of positive reactions and allergens of interest. The remaining potential allergens were ranked by each dermatologist using an online questionnaire, with inclusion in the final NZBS by consensus. RESULTS Results from 2402 patients (67% female, mean age 44 years) from Auckland, Wellington, Palmerston North and Christchurch were collated. The 10 most frequent positive (relevant and non-relevant) allergens were nickel sulfate (22.0%), fragrance mix I (8.6%), cobalt chloride (7.3%), Myroxylon pereirae (5.6%), colophonium (5.1%), p-phenylenediamine (4.9%), methylisothiazolinone/methylchloroisothiazolinone (4.1%), fragrance mix II (3.9%), potassium dichromate (3.5%) and methylisothiazolinone (3.4%). Based on these results, a core series of 30 allergens was developed, with an additional 30 allergens added to form the extended series (total 60 allergens). CONCLUSION The baseline series of patch test allergens for routine use in New Zealand (NZBS) is based on national patch test data and expert consensus.

INTRODUCTION Most cutaneous vascular lesions are benign and do not require treatment. Many are referred to specialist dermatologists from primary care. AIM This study aimed to investigate the characteristics of cutaneous vascular lesions and the reasons for their referral from primary care. METHODS Lesions diagnosed as cutaneous vascular abnormalities or dermatoses were retrospectively selected from a database of patients attending the Waikato Virtual Lesion Clinic. Demographic data, diagnosis and clinic outcome were recorded for each imaged lesion. Primary care referrals were reviewed to determine the reasons for referral. RESULTS In total, 229 referrals for vascular lesions were received between January 2010 and February 2019. Patient ages ranged from 6 to 95 years and 64.2% of patients were female. Nearly half the lesions (47.2%) were located on the head and neck; 64.1% had a dermatological diagnosis of a vascular tumour and 18.7% had a malformation. The most common reason for referral was pigmentation (45.7%) and bleeding was least common (8.2%). No diagnosis was given in 34.2% of referrals and less than one-quarter had a correct diagnosis. Malignancy was suspected in 40.2% of referrals; however, the dermatologists found that 95.2% of patients did not require further treatment. Half of excisions (n = 2) were for bleeding and all were histologically benign. DISCUSSION Diagnostic uncertainty and suspected malignancy commonly result in referral of benign cutaneous vascular lesions to public dermatology services. This study highlights the usefulness of teledermatology in the timely access of specialist input, minimising the need for intervention or excision.

A growing number of cutaneous adverse reactions have been reported following the administration of a COVID-19 vaccine. We describe a series of twenty patients who developed a variety of cutaneous conditions within two weeks of receiving the Pfizer/ BioNTech BNT162b2 vaccine.

BACKGROUND The suspected skin cancer electronic referral pathway was introduced in 2017. It requires general practitioners to add regional, close-up, and dermoscopic images to a lesion-specific referral template for a teledermatologist to review and advise on management. The virtual lesion clinic is a nurse-led clinic used since 2010 to obtain high-quality images for teledermoscopy assessment. A limitation of both services is the absence of a full-body examination. OBJECTIVE This study aims to evaluate the number of skin cancers missed during teledermatology assessment. METHODS This is a retrospective review of skin lesion referrals to dermatology. Suspected skin cancer referrals made in the latter half of 2020 were compared with referrals to the virtual lesion clinic during a similar time period in 2016. RESULTS The study included 481 patients with 548 lesions in the 2020 suspected skin cancer cohort that were matched for age, sex, and ethnicity to 400 patients with 682 lesions in the 2016 virtual lesion clinic cohort. A total of 41 patients underwent subsequent specialist review in the suspected skin cancer cohort compared to 91 in the virtual lesion clinic cohort. A total of 20% of the suspected skin cancer cohort and 24% of the virtual lesion clinic cohort were found to have at least one additional lesion of concern. The majority of these were keratinocytic skin cancers; there were 2 and 0 additional melanomas or melanoma-in-situ, respectively. The virtual lesion clinic nurses identified additional lesions for imaging in 78 of 400 (20%) patients assessed in the virtual lesion clinic. The teledermatologist determined (author AO) that 73% of these additional lesions were malignant. Of the 548 lesions, 10 (2%) in the suspected skin cancer group were rereferred, none of which had a change in diagnosis. Out of 682 lesions, 16 (2%) in the virtual lesion clinic cohort were rereferred, 6 (1%) of which had a change in diagnosis. CONCLUSIONS Patients diagnosed with skin cancer often have multiple lesions of concern. Single-lesion teledermoscopy diagnoses have high concordance with in-person evaluation and histology; however, we have shown that in-person examination may reveal other suspicious lesions. The importance of a full-body skin examination should be emphasized to the referrer.

BACKGROUND A teledermoscopy service was established in January 2010, where patients attended nurse-led clinics for imaging of lesions of concern and remote diagnosis by a dermatologist. OBJECTIVE The study aimed to review the number of visits, patient characteristics, the efficiency of the service, and the diagnoses made. METHODS We evaluated the waiting time and diagnosis of skin lesions for all patient visits from January 1, 2010, to May 31, 2019. The relationships between patient characteristics and the diagnosis of melanoma were specifically analyzed. RESULTS The teledermoscopy clinic was attended by 6479 patients for 11,005 skin lesions on 8805 occasions. Statistically significant risk factors for the diagnosis of melanoma/melanoma in situ were male sex, European ethnicity, and Fitzpatrick skin type 2. Attendance was maximal during 2015 and 2016. The seasonal variation in visits 2011-2018 revealed a consistent peak at the end of summer and a dip at the end of winter. In the year 2010, 306 patients attended; 76% (233/306) of these were discharged to primary care and 24% (73/306) were referred to hospital for specialist assessment. For patients diagnosed by the dermatologist with suspected melanoma from January 1, 2010, to May 31, 2019, the median waiting time for an imaging appointment was 44.5 days (average 57.9 days, range 8-218 days). The most common lesions diagnosed were benign naevus (2933/11,005, 27%), benign keratosis (2576/11,005, 23%), and keratinocytic cancer (1707/11,005, 15%); melanoma was suspected in 5% (507/11,005) of referred lesions (Multimedia Appendix 1). The positive predictive value of melanoma/melanoma in situ was 61.1% (320 true positives and 203 false positives). The number needed to treat (ie, the ratio of the total number of excisions to the number with a histological diagnosis of melanoma/melanoma in situ) was 2.02. CONCLUSIONS Diagnoses were comparable to the experience of other teledermoscopy services. Teledermoscopy using a nurse-led imaging clinic can provide efficient and convenient access to dermatology by streamlining referrals to secondary care and prioritizing patients with skin cancer for treatment.

BACKGROUND Primary care providers, dermatology specialists, and health care access are key components of primary prevention, early diagnosis, and treatment of skin cancer. Artificial intelligence (AI) offers the promise of diagnostic support for nonspecialists, but real-world clinical validation of AI in primary care is lacking. OBJECTIVE We aimed to (1) assess the reliability of an AI-based clinical triage algorithm in classifying benign and malignant skin lesions and (2) evaluate the quality of images obtained in primary care using the study camera (3Gen DermLite Cam v4 or similar). METHODS This was a single-center, prospective, double-blinded observational study with a predetermined study design. We recruited participants with suspected skin cancer in 20 primary care practices who were referred for assessment via teledermatology. A second set of photographs taken using a standardized camera was processed by the AI algorithm. We evaluated the image quality and compared two teledermatologists’ diagnoses by consensus (the “gold standard”) with AI and histology where applicable. RESULTS Our primary outcome assessment stratified 391 skin lesions by management as benign, uncertain, or malignant. Uncertain lesions were not included in the sensitivity and specificity analyses. Uncertain lesions included lesions that had either diagnostic or management uncertainties. For the remaining 242 lesions, the sensitivity was 97.26% (95% CI 93.13%-99.25%) and the specificity was 97.92% (95% CI 92.68%-99.75%). The AI algorithm was compared with the histological diagnoses for 123 lesions. The sensitivity was 100% (95% CI 95.85%-100%) and the specificity was 72.22% (95% CI 54.81%-85.80%). CONCLUSIONS The AI algorithm demonstrates encouraging results, with high sensitivity and specificity, concordant with previous AI studies. It shows potential as a triage tool in conjunction with teledermatology to augment health care and improve access to dermatology. Further real-life studies need to be conducted on a larger scale to assess the reliability, usability, and cost-effectiveness of the algorithm in primary care.

This comparative observational study aimed to validate an online Patient-oriented Psoriasis Area and Severity Index (PO-PASI) by comparing it against the Psoriasis Area and Severity Index (PASI), of 97 adult participants with chronic plaque psoriasis. Pearson's correlation coefficient of 0.866 (P-value = 0.0001) showed a strong positive linear correlation, and interclass correlation coefficients [ICC scores = 0.864 [95% confidence intervals (CIs) (0.803 < ICC < 0.907)]] suggest an interrater reliability of 'good' to 'excellent' when comparing PO-PASI to the PASI score. Additionally, we compared PO-PASI and PASI with DLQI and demonstrated an overall stronger positive correlation between PO-PASI and DLQI when compared to PASI.

Aim Recent studies have linked scabies with acute rheumatic fever (ARF). We explored the relationship, by neighbourhood, between permethrin dispensing as an indicator of scabies prevalence and ARF cases over the same period. Methods Incident cases of ARF notified to public health between September 2015 and June 2018 and the annual incidence of prescribing by neighbourhood over the same period were analysed. Evidence of an association between permethrin and ARF was obtained by carrying out Poisson regression of the rate of ARF in terms of permethrin rate at the census area unit level, with adjustment for ethnicity and socio-economic deprivation. Results A total of 413 neighbourhoods were included. The incidence of ARF varied between 0 and 102 per 100 000 people per year (mean 4.3). In contrast, the annual incidence of dispensing of permethrin varied between 0 and 3201 per 100 000 people per year (mean 771). A strong association was observed between the two variables. In an adjusted quasi-Poisson model, permethrin-dispensing rates were strongly associated with ARF incidence, with a change from the 16th to the 84th centile associated with a 16.5-fold increase in incidence (95% confidence interval: 3.82-71.6). Conclusions Permethrin prescribing as an indicator of scabies is strongly associated with the incidence of ARF. Considered together with other studies, this evidence suggests that improving scabies control may reduce the burden of ARF in New Zealand.

Background/objectives: Vulval lichen sclerosus (VLS) is a chronic inflammatory skin condition predominantly affecting the anogenital region in women and children. To date, there is lack of agreement amongst experts on a severity scale to aid assessment, research and treatment stratification on VLS. Furthermore, literature on best practice for long-term management of VLS is lacking. The aim of this consensus is to provide broad guidelines on the short and long-term management of VLS. Methods: An initial focus group of Australasian experts in vulval dermatology developed a draft consensus statement for the management of VLS. Based on the results of the draft statement, a consensus panel of 22 Australasian experts, comprised of the initial and additional members, participated in an anonymous four-stage eDelphi process. Round 1 involved generation and voting on statements from the draft consensus statement developed by the focus group. In Rounds 2, 3 & 4, panel members were presented formal feedback from previous rounds and asked to indicate their level of agreement. Consensus was reached if there was ≥70% agreement on the importance of an item in the 4 (agree) to 5 (strongly agree) range. Results: The expert panel, with a total of 504 collective years of experience in the field of VLS, reached consensus on a core set of 51 management statements related to diagnosis, severity, initial and long-term management, follow-up, and complications of VLS. Conclusions: This study has identified a set of management statements for VLS that may be useful in clinical practice in the Australasian population.

Sequential digital dermoscopic imaging (SDDI) compares surface microscopy images of skin lesions over multiple time points. We utilized a retrospective SDDI cohort to investigate the development of dermoscopic features associated with malignancy in melanoma in situ (MIS). A total of 124 in situ melanomas were assessed from 110 Caucasian patients aged ≥18 years, with ≥2 serial images obtained between 1999 and 2017 and followed for a mean 41 months (3-142). As a positive control group, 58 invasive melanomas from 53 patients were also reviewed. Change in MIS size or number of colours correlated to time (both p

Background Few population-based studies assess both invasive and in situ melanoma. We document all patients with a first biopsied melanoma in a general population in New Zealand (NZ). Methods All residents in a defined area of New Zealand with a biopsy showing a new primary invasive or in situ melanoma from 2010 to 2012 were identified, 974 patients; analysis used multivariate methods. Results Age-standardised incidence rates were 34.3 in females (F) and 41.4 in males (M) for invasive, 20.9 F and 27.6 M for in situ, and 55.2 F and 69.0 M for total melanoma. More in situ melanoma occurred in older patients and on the head and neck. Geometric mean Breslow thickness for invasive was 0.78 mm F and 0.85 mm M, with thicker lesions at ages over 60 and on the lower limb; there was no significant relationship with sex, distance from care or social deprivation assessed from residential address. Nodular melanomas (15%) were more frequent in older and male patients, and on the limbs, and were thicker. The estimated cumulative risk for melanoma is 4.4% F and 4.6% M by age 70. The body site distribution and sex differences were consistent with sun exposure patterns. Estimated incidence of melanoma in New Zealand in 2018 is 2500 invasive and 1700 in situ cases. Conclusions Assessing both in situ and invasive melanoma expands the clinical picture, better estimating health care demand and costs. Results suggest that in situ disease is a more slowly growing lesion than the early phase of invasive disease. The features of thicker or nodular melanoma show priorities for prevention and early detection.

Background A teledermoscopy service was established in January 2010, where patients attended nurse-led clinics for imaging of lesions of concern and remote diagnosis by a dermatologist. Objective The study aimed to review the number of visits, patient characteristics, the efficiency of the service, and the diagnoses made. Methods We evaluated the waiting time and diagnosis of skin lesions for all patient visits from January 1, 2010, to May 31, 2019. The relationships between patient characteristics and the diagnosis of melanoma were specifically analyzed. Results The teledermoscopy clinic was attended by 6479 patients for 11,005 skin lesions on 8805 occasions. Statistically significant risk factors for the diagnosis of melanoma/melanoma in situ were male sex, European ethnicity, and Fitzpatrick skin type 2. Attendance was maximal during 2015 and 2016. The seasonal variation in visits 2011-2018 revealed a consistent peak at the end of summer and a dip at the end of winter. In the year 2010, 306 patients attended; 76% (233/306) of these were discharged to primary care and 24% (73/306) were referred to hospital for specialist assessment. For patients diagnosed by the dermatologist with suspected melanoma from January 1, 2010, to May 31, 2019, the median waiting time for an imaging appointment was 44.5 days (average 57.9 days, range 8-218 days). The most common lesions diagnosed were benign naevus (2933/11,005, 27%), benign keratosis (2576/11,005, 23%), and keratinocytic cancer (1707/11,005, 15%); melanoma was suspected in 5% (507/11,005) of referred lesions (Multimedia Appendix 1). The positive predictive value of melanoma/melanoma in situ was 61.1% (320 true positives and 203 false positives). The number needed to treat (ie, the ratio of the total number of excisions to the number with a histological diagnosis of melanoma/melanoma in situ) was 2.02. Conclusions Diagnoses were comparable to the experience of other teledermoscopy services. Teledermoscopy using a nurse-led imaging clinic can provide efficient and convenient access to dermatology by streamlining referrals to secondary care and prioritizing patients with skin cancer for treatment. Conflicts of Interest None declared.

Background The suspected skin cancer electronic referral pathway was introduced in 2017. It requires general practitioners to add regional, close-up, and dermoscopic images to a lesion-specific referral template for a teledermatologist to review and advise on management. The virtual lesion clinic is a nurse-led clinic used since 2010 to obtain high-quality images for teledermoscopy assessment. A limitation of both services is the absence of a full-body examination. Objective This study aims to evaluate the number of skin cancers missed during teledermatology assessment. Methods This is a retrospective review of skin lesion referrals to dermatology. Suspected skin cancer referrals made in the latter half of 2020 were compared with referrals to the virtual lesion clinic during a similar time period in 2016. Results The study included 481 patients with 548 lesions in the 2020 suspected skin cancer cohort that were matched for age, sex, and ethnicity to 400 patients with 682 lesions in the 2016 virtual lesion clinic cohort. A total of 41 patients underwent subsequent specialist review in the suspected skin cancer cohort compared to 91 in the virtual lesion clinic cohort. A total of 20% of the suspected skin cancer cohort and 24% of the virtual lesion clinic cohort were found to have at least one additional lesion of concern. The majority of these were keratinocytic skin cancers; there were 2 and 0 additional melanomas or melanoma-in-situ, respectively. The virtual lesion clinic nurses identified additional lesions for imaging in 78 of 400 (20%) patients assessed in the virtual lesion clinic. The teledermatologist determined (author AO) that 73% of these additional lesions were malignant. Of the 548 lesions, 10 (2%) in the suspected skin cancer group were rereferred, none of which had a change in diagnosis. Out of 682 lesions, 16 (2%) in the virtual lesion clinic cohort were rereferred, 6 (1%) of which had a change in diagnosis. Conclusions Patients diagnosed with skin cancer often have multiple lesions of concern. Single-lesion teledermoscopy diagnoses have high concordance with in-person evaluation and histology; however, we have shown that in-person examination may reveal other suspicious lesions. The importance of a full-body skin examination should be emphasized to the referrer. Acknowledgments The Waikato Medical Research Foundation provided financial support for the study. Conflicts of Interest None declared.

Background Primary care providers, dermatology specialists, and health care access are key components of primary prevention, early diagnosis, and treatment of skin cancer. Artificial intelligence (AI) offers the promise of diagnostic support for nonspecialists, but real-world clinical validation of AI in primary care is lacking. Objective We aimed to (1) assess the reliability of an AI-based clinical triage algorithm in classifying benign and malignant skin lesions and (2) evaluate the quality of images obtained in primary care using the study camera (3Gen DermLite Cam v4 or similar). Methods This was a single-center, prospective, double-blinded observational study with a predetermined study design. We recruited participants with suspected skin cancer in 20 primary care practices who were referred for assessment via teledermatology. A second set of photographs taken using a standardized camera was processed by the AI algorithm. We evaluated the image quality and compared two teledermatologists’ diagnoses by consensus (the “gold standard”) with AI and histology where applicable. Results Our primary outcome assessment stratified 391 skin lesions by management as benign, uncertain, or malignant. Uncertain lesions were not included in the sensitivity and specificity analyses. Uncertain lesions included lesions that had either diagnostic or management uncertainties. For the remaining 242 lesions, the sensitivity was 97.26% (95% CI 93.13%-99.25%) and the specificity was 97.92% (95% CI 92.68%-99.75%). The AI algorithm was compared with the histological diagnoses for 123 lesions. The sensitivity was 100% (95% CI 95.85%-100%) and the specificity was 72.22% (95% CI 54.81%-85.80%). Conclusions The AI algorithm demonstrates encouraging results, with high sensitivity and specificity, concordant with previous AI studies. It shows potential as a triage tool in conjunction with teledermatology to augment health care and improve access to dermatology. Further real-life studies need to be conducted on a larger scale to assess the reliability, usability, and cost-effectiveness of the algorithm in primary care. Acknowledgments MoleMap NZ, who developed the AI algorithm, provided some funding for this study. HT's salary was partially sponsored by MoleMap NZ, who developed the AI algorithm. AB is a shareholder and consultant to Molemap Ltd provider of the AI algorithm. Conflicts of Interest None declared.

We undertook a retrospective comparison of two teledermatology pathways that provide diagnostic and management advice for suspected skin cancers, to evaluate the time from referral to diagnosis and its concordance with histology. Primary Care doctors could refer patients to either the Virtual Lesion Clinic (VLC), a nurse-led community teledermoscopy clinic or, more recently, to the Suspected Skin Cancer (SSC) pathway, which requires them to attach regional, close-up, and dermoscopic images. The primary objective of this study was to determine the comparative time course between the SSC pathway and VLC. Secondary objectives included comparative diagnostic concordance, skin lesion classification, and evaluation of missed skin lesions during subsequent follow-up. VLC referrals from July to December 2016 and 2020 were compared to SSC referrals from July to December 2020. 408 patients with 682 lesions in the VLC cohort were compared with 480 patients with 548 lesions from the 2020 SSC cohort, matched for age, sex, and ethnicity, including histology where available. Median time (SD) from referral to receipt of teledermatology advice was four (2.8) days and 50 (43.0) days for the SSC and VLC cohorts, respectively (p &lt, 0.001). Diagnostic concordance between teledermatologist and histopathologist for benign versus malignant lesions was 70% for 114 lesions in the SSC cohort, comparable to the VLC cohort (71% of 122 lesions). Referrals from primary care, where skin lesions were imaged with variable devices and quality resulted in faster specialist advice with similar diagnostic performance compared to high-quality imaging at nurse-led specialist dermoscopy clinics.

Background/objective To describe the dermoscopic features of melanoma in situ using the Chaos and Clues method. Method Histologically proven primary melanoma in situ (MIS) diagnosed through a specialist teledermoscopy clinic were reviewed by three dermatologists. By consensus they agreed on the global dermoscopic pattern, colours, presence of chaos (asymmetry of colour and structure and more than one pattern), and each of the nine clues described for malignancy. Results One hundred MIS in 92 patients of European ethnicity (45 males) were assessed. Mean age was 67.3 years (range 20-95). The mean dimensions of the lesions were 11.1 × 12.0 mm (range 2.5-31.3 × 2.3-32.3 mm). Using pattern analysis, 82% of the lesions had three or more patterns (multicomponent) and the rest had 2 patterns. Colours included light brown (100%), dark brown (98%) and grey (75%). All MIS demonstrated chaos. The most prevalent clues were thick lines (88%), eccentric structureless areas (88%), and grey or blue structures (75%). Conclusion Dermoscopy can be very helpful in the early diagnosis of melanoma and MIS. The Chaos and Clues method is simple to use. Its unambiguous descriptors can be successfully used to describe MIS. The presence of chaos and clues to malignancy (including thick lines, eccentric structureless areas, and blue/grey structures) should raise a red flag and lead to referral or excision.

OBJECTIVES Erosive vulvovaginal lichen planus (EVLP) is a chronic and painful genital dermatosis. Little is published about its impact on quality of life. This study aimed to evaluate quality of life and sexual function in women with EVLP. MATERIALS AND METHODS Women with genital dermatoses were surveyed using the Dermatology Life Quality Index (DLQI) and Hospital Depression and Anxiety Scales. A subgroup completed the Female Sexual Distress Scale and Female Sexual Function Index subscales. Patient characteristics including age, diagnosis, and current treatment were recorded. Results from women with EVLP were compared with other diagnoses. RESULTS Data from 77 women who participated between March 2013 and March 2014 were analyzed. Of these, 17 had EVLP. Comparator groups included women with vulval lichen sclerosus (n = 48) and vulval dermatitis (n = 12). In women with EVLP, 59% reported at least moderate impact on quality of life; mean DLQI scores: EVLP, 7.18; lichen sclerosus, 3.79; dermatitis, 8.67; p = .008. Overall, scores suggested depression in 14% and anxiety in 16% of participants. Sexual distress scores 11 or higher were recorded by 69% of women with EVLP, 63% of women with lichen sclerosus, and 56% of women with dermatitis. In those completing all sections of the survey (n = 40), DLQI was significantly correlated with depression (p = .004), sexual distress (p = .001), and sexual satisfaction (p = .01). CONCLUSIONS Sixty-nine percent of women with EVLP reported sexual distress. Women with EVLP reported lesser quality of life than those with lichen sclerosus. Quality of life, anxiety and depression, sexual distress, and sexual function were all related in these participants.

Background/ObjectivesBasal cell carcinoma (BCC) is the most commonly occurring skin cancer. BCCs have been found to generally grow slowly. Data are limited on how the dermoscopic characteristics of BCCs evolve. We set out to determine the growth rate of superficial BCCs (sBCC) and assess the change in dermoscopic features over time.MethodsA retrospective review was performed of clinically diagnosed sBCC. Images, demographic and dermoscopic data were collected by a melanographer. Mixed effects linear regression models were used to investigate sBCC growth and associations between size and dermoscopic/demographic variables. We tested differences in trends over time in dermoscopic features using non‐parametric trend tests.Results100 individual sBCC were evaluated in 70 patients (mean age 62; 59% male), 69% had Fitzpatrick skin phototype 1 or 2, and 81% had some degree of actinic damage. sBCC were present on the back in 58% and 22% of men and women, respectively. The median surface area was 41.9 mm2 with a growth rate of 0.81 mm2/month. Males had larger sBCC than females. There was no association between sBCC size and Fitzpatrick skin phototype, history of skin cancer or family history of melanoma. There is some evidence larger sBCC gain shiny white structures (P = 0.053) over time.ConclusionssBCC grow at a rate unlikely to adversely affect patient outcomes associated with long wait times. Our data suggest that dermoscopy can aid in appropriate treatment selection for sBCC.

BACKGROUND/OBJECTIVES An e-referral system was developed at a tertiary care hospital in Auckland, New Zealand in 2014 for suspected cutaneous malignancy. E-referrals include patient information, a description of the lesion(s), biopsy results and/or attached photograph(s). Experienced surgical oncologists prioritised the referrals and selected a management option or referred them for a teledermatoscopy opinion. Our aim was to review the efficacy of e-referrals for improving diagnostic accuracy for melanoma. METHODS Referrals received in 2016 including images and categorisation as confirmed, likely or suspected melanoma by the triage specialist were evaluated. Concordance of the pathological diagnosis with the triage diagnosis and teledermatoscopy diagnosis was determined for each referral. RESULTS 809 of 3470 e-referrals for skin cancer were categorised as confirmed, likely or suspected melanoma. 230 (28.4%) of these included a referral histopathology confirming melanoma/melanoma in situ. Of the remaining 579 referrals, 315 were sent for urgent diagnostic excision and 264 were referred for teledermatoscopy. 120 of the 315 sent for urgent excision were confirmed as melanoma (53) or melanoma in situ (67) on histopathology: a positive predictive value (PPV) of 38.1% and number needed to excise (NNE) of 2.6. Less than 10% of referrals triaged for teledermatoscopy were confirmed as melanoma (24/264). Almost half of all referrals (374/809, 45.6%) included melanoma/melanoma in situ. The melanoma: melanoma in situ ratio was 1: 1.18. CONCLUSIONS The e-referral and teledermatoscopy service for suspected melanoma has proven fewer unnecessary excisions of benign lesions than previously reported.

Background/Objectives The prevalence of melanocytic naevi falls with age. It has been postulated that this could be due to spontaneous involution (fading). Our objective was to provide dermatoscopic evidence of fading naevi and to describe the patterns of fading observed. Methods Serial dermatoscopic images of naevi demonstrating fading were collected from a set of 25 000 images. Any naevi that showed significant fading, as compared to previous imaging of the same lesion, were included in the analysis. Results A total of 47 naevi in 21 patients were found to have significantly faded over a span of 2–11 years. The dermatoscopic fading was observed to occur in two patterns. The most common pattern observed was generalised fading (n = 45), where fading was present over all the naevus. There were two cases of focal fading (n = 2) where fading was present only over one area of the naevus. Conclusions Fading melanocytic naevi are uncommon. Melanocytic naevi fade in recognisable patterns, with generalised fading most commonly observed in our series.

BACKGROUND: Whether machine-learning algorithms can diagnose all pigmented skin lesions as accurately as human experts is unclear. The aim of this study was to compare the diagnostic accuracy of state-of-the-art machine-learning algorithms with human readers for all clinically relevant types of benign and malignant pigmented skin lesions. METHODS: For this open, web-based, international, diagnostic study, human readers were asked to diagnose dermatoscopic images selected randomly in 30-image batches from a test set of 1511 images. The diagnoses from human readers were compared with those of 139 algorithms created by 77 machine-learning labs, who participated in the International Skin Imaging Collaboration 2018 challenge and received a training set of 10 015 images in advance. The ground truth of each lesion fell into one of seven predefined disease categories: intraepithelial carcinoma including actinic keratoses and Bowen’s disease; basal cell carcinoma; benign keratinocytic lesions including solar lentigo, seborrheic keratosis and lichen planus-like keratosis; dermatofibroma; melanoma; melanocytic nevus; and vascular lesions. The two main outcomes were the differences in the number of correct specific diagnoses per batch between all human readers and the top three algorithms, and between human experts and the top three algorithms. FINDINGS: Between Aug 4, 2018, and Sept 30, 2018, 511 human readers from 63 countries had at least one attempt in the reader study. 283 (55·4%) of 511 human readers were board-certified dermatologists, 118 (23·1%) were dermatology residents, and 83 (16·2%) were general practitioners. When comparing all human readers with all machine-learning algorithms, the algorithms achieved a mean of 2·01 (95% CI 1·97 to 2·04; p

Introduction Teledermatology can improve access to specialist dermatological advice. We describe a retrospective review of the first 12 months of Waikato Teledermatology (WT), a low-cost, secure, website-based, store-and-forward teledermatology network using the Collegium Telemedicus platform. Methods We determined specialist response time, referral metrics, patient diagnosis and progress reports from the network’s database. The programme’s value was evaluated by post-pilot online surveys of referrers and specialist dermatologists. Results WT was used by 31 referring doctors for 309 consultations with four dermatologists between July 2013 and June 2014. Mean and median specialist response time was 2.07 hours (range: 0.13–5.64 hours). The researchers categorized the referrals as tumours (56.8%) and rashes (43.2%), including inflammatory dermatoses (51.9%), infection (18.1%), uncertain (16.5%), miscellaneous (7.5%), and of environmental origin (6%). Thirty tumours were biopsied, including nine melanomas and three basal cell carcinomas. A total of 158 progress reports and 35 survey responses were received. Reported advantages included decreased delay, improved accuracy of diagnosis and treatment compared to that made without specialist input, decreased unnecessary procedures such as biopsies of undiagnosed conditions, and increased appropriate referrals for face-to-face assessment, thus leading to cost savings for the patient and the health care system. The major disadvantages were the time burden for clinicians to complete consultations, the lack of integration with the patients’ usual electronic medical record and absence of funding. Discussion WT proved an effective and acceptable approach to improving patient access to dermatologic services.

Background Erosive vulvovaginal lichen planus (EVLP) is a chronic, painful dermatosis affecting mucocutaneous sites. Clinicopathological diagnostic criteria have been described on the basis of expert consensus. The aim of this study was to review the presentation of EVLP, particularly assessing the frequency of suggested diagnostic criteria. Methods Clinical signs, symptoms and histological features of women with a clinical diagnosis of EVLP were identified from clinical records and photographs. Results In all, 72 women with an average age of 67 years were included. Pain or burning were documented in 66/72 cases (92%) and itch in 36 (50%). Clinical images showed well-demarcated red shiny areas or erosions at the vaginal introitus (96%), scarring with loss of normal architecture (88%) and hyperkeratotic border and Wickham striae (46%). A total of 27 women had mucosal disease at another site (38%) and 24 had vaginal involvement (33%). Vulval histology was available for 45/72 cases (63%). The most prevalent histological finding was a band of inflammation with predominant lymphocytes (35/72, 49%). Overall, 97% of cases had at least three of nine suggested diagnostic criteria. Conclusions The most frequent findings in women with EVLP were symptoms of pain or burning, well-demarcated red shiny areas or erosions at the introitus and scarring with loss of architecture. Our findings support the recently described diagnostic criteria for EVLP.

BACKGROUND Melanocytic naevi have been observed to undergo morphological changes following exposure to narrowband ultraviolet (NB-UV)B radiation. OBJECTIVES To analyse changes in naevi exposed to NB-UVB in a large cohort of patients. METHODS Subjects referred for phototherapy had macroscopic and dermoscopic images taken of prominent melanocytic naevi at the following time points: immediately prior to NB-UVB treatment, after 10 exposures, after 30 exposures or at the end of treatment if earlier, and 3 months after discontinuing treatment. Four dermatologists, by consensus, examined each naevus for specific clinical and dermoscopic features at each time point. The size (area) of each naevus was determined by plenimetry. RESULTS Complete sets of images were taken for 36 out of 51 patients. The most common global dermoscopic patterns in the 440 naevi examined were reticular (50%) and globular (32%). Following NB-UVB exposure, blurring or merging of lines was observed in 45% of reticular naevi. An increase in colour intensity and in the number of dots or globules was observed in 63% of globular naevi, and 167 naevi (40%) underwent a change in size. Of these, 91/167 (54%) decreased in size, with a median area reduction of 8% (0·9-42%); while 76/167 (46%) increased in size, with a median area increase of 9% (1-76%). CONCLUSIONS Around half of naevi exposed to a course of NB-UVB treatment undergo size or morphological changes. Naevi that enlarged tended to revert to pretreatment size 3 months after discontinuation of phototherapy.

A 67-year-old man with chronic plaque psoriasis previously treated with psoralen plus PUVA, ciclosporin, methotrexate and acitretin developed eruptive squamous cell carcinoma after seven doses of adalimumab. We review the association of squamous cell carcinoma with immunosuppressive agents used for the treatment of chronic plaque psoriasis. Initiation of tumour necrosis factor (TNF)-α inhibitors in a patient at high risk of non-melanoma skin cancer may warrant chemoprophylaxis with acitretin.