Actinic keratosis-related signs predictive of squamous cell carcinoma in renal transplant recipients: a nested case-control study

Background Squamous cell carcinoma (SCC) and intraepidermal carcinoma (IEC) commonly arise in actinically damaged skin

Why a randomised melanoma screening trial may be a good idea

We read with interest the letter by Halvorsen et\ua0al. These authors demonstrated in Table 1 that the number needed to invite to prevent one melanoma death is inversely proportional to the mortality rate in the cohort. Whether or not a screening trial is feasible depends on this and many other factors, including the primary outcome, incidence, the screening test's accuracy, and contamination of the control group (in the case of a melanoma screening by opportunistic skin checks). This article is protected by copyright. All rights reserved

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

Artificial intelligence technology has advanced rapidly in recent years and has the potential to improve healthcare outcomes. However, technology uptake will be largely driven by clinicians, and there is a paucity of data regarding the attitude that clinicians have to this new technology. In June-August 2019 we conducted an online survey of fellows and trainees of three specialty colleges (ophthalmology, radiology/radiation oncology, dermatology) in Australia and New Zealand on artificial intelligence. There were 632 complete responses (n = 305, 230, and 97, respectively), equating to a response rate of 20.4%, 5.1%, and 13.2% for the above colleges, respectively. The majority (n = 449, 71.0%) believed artificial intelligence would improve their field of medicine, and that medical workforce needs would be impacted by the technology within the next decade (n = 542, 85.8%). Improved disease screening and streamlining of monotonous tasks were identified as key benefits of artificial intelligence. The divestment of healthcare to technology companies and medical liability implications were the greatest concerns. Education was identified as a priority to prepare clinicians for the implementation of artificial intelligence in healthcare. This survey highlights parallels between the perceptions of different clinician groups in Australia and New Zealand about artificial intelligence in medicine. Artificial intelligence was recognized as valuable technology that will have wide-ranging impacts on healthcare.Jane Scheetz, Philip Rothschild, Myra McGuinness, Xavier Hadoux, H. Peter Soyer, Monika Janda, James J.J. Condon, Luke Oakden‑Rayner, Lyle J. Palmer, Stuart Keel, Peter van Wijngaarde

Human surface anatomy terminology for dermatology: a Delphi consensus from the International Skin Imaging Collaboration

BackgroundThere is no internationally vetted set of anatomic terms to describe human surface anatomy.ObjectiveTo establish expert consensus on a standardized set of terms that describe clinically relevant human surface anatomy.MethodsWe conducted a Delphi consensus on surface anatomy terminology between July 2017 and July 2019. The initial survey included 385 anatomic terms, organized in seven levels of hierarchy. If agreement exceeded the 75% established threshold, the term was considered - accepted- and included in the final list. Terms added by the participants were passed on to the next round of consensus. Terms with <75% agreement were included in subsequent surveys along with alternative terms proposed by participants until agreement was reached on all terms.ResultsThe Delphi included 21 participants. We found consensus (- ¥75% agreement) on 361/385 (93.8%) terms and eliminated one term in the first round. Of 49 new terms suggested by participants, 45 were added via consensus. To adjust for a recently published International Classification of Diseases- Surface Topography list of terms, a third survey including 111 discrepant terms was sent to participants. Finally, a total of 513 terms reached agreement via the Delphi method.ConclusionsWe have established a set of 513 clinically relevant terms for denoting human surface anatomy, towards the use of standardized terminology in dermatologic documentation.Linked Commentary: R.J.G. Chalmers. J Eur Acad Dermatol Venereol 2020; 34: 2456- 2457. https://doi.org/10.1111/jdv.16978.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163915/1/jdv16855_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/163915/2/jdv16855-sup-0001-FigS1-S3.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/163915/3/jdv16855.pd

Telemedicine in Skin Emergencies

Tele-dermatology has comparable diagnostic accuracy to face-to-face consultation. Skin emergencies need rapid turnaround. Tele-dermatology can reduce patient morbidity from skin emergencies. Tele-dermatology is cost effective in skin emergencies. Tele-dermatology is an under-utilised service, particularly for skin emergencies. The technical requirements for tele-dermatology may be limited to a digital camera and effective telecommunication. Most dermatological investigation and treatment can be carried out easily by medical practitioners and medical staff in A and E units

Virtual melanoma checks during a pandemic

Healthcare services internationally are experiencing unprecedented strain due to the COVID-19 pandemic. Governments mandate strict social distancing to reduce the spread of SARS-CoV-2 infection, and as a result, people are avoiding health services for less urgent issues. In this crisis, it is important that patients continue to receive preventive and surveillance care without compromising their safety or that of healthcare workers

Strategies for assessing the degree of photodamage to skin: A systematic review of the literature

As our understanding of the role of ultraviolet (UV) radiation exposure in causing skin cancer continues to be enhanced, it is important that clinicians and researchers are familiar with the various methods for assessing photodamage to skin. This paper provides a systematic review of the published literature on invasive and noninvasive methods used to quantify lifetime UV exposure (‘photoageing’). Clinical examination, histopathology, immunohistochemistry, skin surface topography and ultrasound, in addition to newer technologies such as reflectance confocal microscopy, optical coherence tomography and multiphoton tomography, are reviewed. It is concluded that histopathological solar elastosis alone should not be viewed as a ‘gold standard’ diagnostic test and that there is no single method available to give accurate quantification of the degenerative changes associated with photodamage. Although additional research into sensitivity and specificity is still needed, skin surface topography currently has the most support in the literature as a valid and reliable noninvasive tool for the assessment of photoageing