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To meet the diverse needs of school-aged children, school psychologists often must collaborate with other professionals within and outside the school setting. Despite potential benefits, challenges exist related to interprofessional collaboration, including ethical challenges. This article explores some of the most salient ethical dilemmas that school psychologists are likely to face when collaborating with other professionals. Specifically, ethical issues related to competence, multiple relationships, informed consent/assent, privacy/confidentiality, assessment, and therapy are examined. Using vignettes, recommendations for navigating common ethical issues that may arise when engaging in interprofessional collaboration are offered. Suggestions are contextualized within the ethical principles and standards outlined in the American Psychological Association's Ethical Principles of Psychologists and Code of Conduct (2017) and the National Association of School Psychologists Professional Standards (2020), which includes the Principles for Professional Ethics. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Competing Interests: Conflicts of interest C Felmingham was supported by a Monash University Research Training Program Scholarship. Y Pan has previously reported for MoleMap Ltd. A Chamberlain was a reporting teledermatologist for MoleMap Ltd from 2009 to 2010. A Chamberlain has honoraria from Proctor & Gamble, Schering-Plough, CSL, Leo-Pharma; a consulting/advisory role for L'Oreal (La Roche Posay); and is on the Speakers Bureau for Novartis, Janssen, HealthCert International, Cancer Council of Victoria, Merck Sharp & Dohme. A Oakley is a diagnosing consultant for MoleMap Ltd; and was involved in another study of the MoleMap AI system (abstract published https://www.iproc.org/themes/1158-9th-world-congress-of-teledermatology-imaging-and-ai-for-skin-diseases-abstracts-2021). S Tucker is a diagnosing consultant for MoleMap Ltd and Dermatology Solutions. A Robinson is a sub-Investigator for Dermira, Galderma, Pfizer, Arcutis, Bristol Myers Squib, Leo Pharma, Argenx, Genesis Care; has had sponsored conference attendance from Lilly, and Janssen was on the steering committee for conference for Novartis; and on the Advisory Board for Lilly. P Foley has received grant support from AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Galderma, Janssen, Leo Pharma, Merck, Novartis, Pfizer, Sanofi, and Sun Pharma; has served as an investigator for AbbVie, Amgen, Arcutis, Argenx, Aslan, AstraZeneca, Boehringer Ingelheim, Botanix, Bristol-Myers Squibb, Celgene, Celtaxsys, CSL, Cutanea, Dermira, Eli Lilly, Evelo, Galderma, Genentech, Geneseq, GlaxoSmithKline, Hexima, Janssen, Kymab, Leo, Merck, MedImmune, Novartis, Pfizer, Regeneron Pharmaceuticals Inc, Reistone, Roche, Sanofi, Sun Pharma, Teva, UCB Pharma, and Valeant; has served on advisory boards for AbbVie, Amgen, Aslan, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Eli Lilly, Galderma, GlaxoSmithKline, Janssen, Leo, Mayne Pharma, Merck, Novartis, Pfizer, Sanofi, Sun Pharma, UCB Pharma, and Valeant; has served as a consultant for Aslan, Bristol-Myers Squibb, Eli Lilly, Galderma, GenesisCare, Hexima, Janssen, Leo Pharma, MedImmune, Mayne Pharma, Novartis, Pfizer, Roche, and UCB Pharma; has received travel grants from AbbVie, Eli Lilly, Galderma, Janssen, Leo Pharma, Merck, Novartis, Pfizer, Roche, Sun Pharma, and Sanofi; and has served as a speaker for or received honoraria from AbbVie, Amgen, Celgene, Eli Lilly, Galderma, GlaxoSmithKline, Janssen, Leo Pharma, Merck, Novartis, Pfizer, Roche, Sanofi, Sun Pharma, and Valeant. A Bowling is a shareholder, founder and consultant to MoleMap Ltd. Z Ge has received personal fees from MoleMap Ltd. M Haskett has received personal fees from MoleMap Ltd and is a shareholder in MoleMap Ltd. V Mar is supported by a National Health and Medical Research Council Early Career Fellowship; and has honoraria from Novartis, Merck, Bristol-Myers-Squibb, Janssen, and Eli Lily; and has had sponsored conference attendance from L'Oreal.

Background/objectives: Sequential digital dermoscopic imaging (SDDI) and total body photography (TBP) are recommended as a two-step surveillance method for individuals at high-risk of developing cutaneous melanoma. Dermoscopic features specific to melanoma have been well described, however, dynamic changes on serial imaging are less understood. This study aims to identify and compare dermoscopic features in developing melanomas and benign naevi that underwent SDDI and TBP to understand which dermoscopic features may be associated with a malignant change., Method: Histopathology reports from a private specialist dermatology clinic from January 2007 to December 2019 were reviewed. Histopathologically confirmed melanoma and benign naevi that underwent SDDI and TBP with a minimum follow-up interval of 3 months were included., Results: Eighty-nine melanomas (38.2% invasive, median Breslow thickness 0.35 mm, range: 0.2-1.45 mm) and 48 benign naevi were evaluated by three experienced dermatologists for dermoscopic changes. Features most strongly associated with melanoma included the development of neovascularisation, asymmetry and growth in pigment network, additional colours, shiny white structures, regression, structureless areas and change to a multi-component pattern. The presence of atypical vessels (p = 0.02) and shiny white structures (p = 0.02) were significantly associated with invasive melanoma., Conclusion: Evaluation for certain evolving dermoscopic features in melanocytic lesions monitored by SDDI and TBP is efficient in assisting clinical decision making. SDDI with TBP is an effective tool for early detection of melanoma., (© 2023 The Australasian College of Dermatologists.)

Introduction: Convolutional neural networks (CNNs) can diagnose skin cancers with impressive accuracy in experimental settings, however, their performance in the real-world clinical setting, including comparison to teledermatology services, has not been validated in prospective clinical studies., Methods and Analysis: Participants will be recruited from dermatology clinics at the Alfred Hospital and Skin Health Institute, Melbourne. Skin lesions will be imaged using a proprietary dermoscopic camera. The artificial intelligence (AI) algorithm, a CNN developed by MoleMap Ltd and Monash eResearch, classifies lesions as benign, malignant or uncertain. This is a preintervention/postintervention study. In the preintervention period, treating doctors are blinded to AI lesion assessment. In the postintervention period, treating doctors review the AI lesion assessment in real time, and have the opportunity to then change their diagnosis and management. Any skin lesions of concern and at least two benign lesions will be selected for imaging. Each participant's lesions will be examined by a registrar, the treating consultant dermatologist and later by a teledermatologist. At the conclusion of the preintervention period, the safety of the AI algorithm will be evaluated in a primary analysis by measuring its sensitivity, specificity and agreement with histopathology where available, or the treating consultant dermatologists' classification. At trial completion, AI classifications will be compared with those of the teledermatologist, registrar, treating dermatologist and histopathology. The impact of the AI algorithm on diagnostic and management decisions will be evaluated by: (1) comparing the initial management decision of the registrar with their AI-assisted decision and (2) comparing the benign to malignant ratio (for lesions biopsied) between the preintervention and postintervention periods., Ethics and Dissemination: Human Research Ethics Committee (HREC) approval received from the Alfred Hospital Ethics Committee on 14 February 2019 (HREC/48865/Alfred-2018). Findings from this study will be disseminated through peer-reviewed publications, non-peer reviewed media and conferences., Trial Registration Number: NCT04040114., Competing Interests: Competing interests: VM is supported by an NHMRC Early Career Fellowship. VM reports personal fees from Novartis, personal fees from Bristol-Myers-Squibb, personal fees from Merck, outside the submitted work. MH reports personal fees from MoleMap Ltd, during the conduct of the study; and is a shareholder in MoleMap Ltd. AB reports personal fees from MoleMap Ltd, during the conduct of the study; personal fees from Molemap Ltd, outside the submitted work; and is a shareholder in Molemap Ltd. AS reports personal fees from MoleMap Ltd, during the conduct of the study; personal fees from Molemap Ltd, outside the submitted work. ZG reports personal fees from MoleMap Ltd. NW and SM are former employees of the Cancer Collaborative Trials Group contracted to implement the SMARTI Study—Melanoma and Skin Cancer Trials (MASC Trials) Ltd. CF is supported by a Monash University Research Training Program Scholarship. RW, NA, WC and MW have nothing to disclose. The study is sponsored by Monash University and endorsed by MASC Trials Ltd., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Lentigo maligna (LM) is a common subtype of in situ melanoma on chronically sun-exposed skin, particularly the head and neck of older patients. Although surgery is the standard treatment, there is associated morbidity, and options such as imiquimod cream or radiotherapy may be used if surgery is refused or inappropriate. Complete response rates following imiquimod treatment are variable in the literature. The aim of this study was to evaluate the host immune response both before and following treatment with imiquimod to better identify likely responders. Paired pre- and post-imiquimod treatment specimens were available for 27 patients. Patients were treated with imiquimod 5 days per week for 12 weeks; at 16 weeks, lesions were excised for histological assessment. Of the 27 patients, 16 were responders and 11 failed to clear the disease. PDL1 protein expression was increased, accompanied by a unique gene signature in lesions from patients that subsequently histologically cleared LM by 16 weeks. This comprised 57 upregulated immune genes in signaling networks for antigen presentation, type I interferon signaling, and T-cell activation. This may represent an early responder group to imiquimod, and this unique gene signature potentially can be used as a biomarker of LM response to imiquimod., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Aim: The American Society of Clinical Oncology and US Institute of Medicine emphasize the need to trial novel models of posttreatment care, and disseminate findings. In 2011, the Victorian State Government (Australia) established the Victorian Cancer Survivorship Program (VCSP), funding six 2-year demonstration projects, targeting end of initial cancer treatment. Projects considered various models, enrolling people of differing cancer types, age and residential areas. We sought to determine common enablers of success, as well as challenges/barriers., Methods: Throughout the duration of the projects, a formal "community of practice" met regularly to share experiences. Projects provided regular formal progress reports. An analysis framework was developed to synthesize key themes and identify critical enablers and challenges. Two external reviewers examined final project reports. Discussion with project teams clarified content., Results: Survivors reported interventions to be acceptable, appropriate and effective. Strong clinical leadership was identified as a critical success factor. Workforce education was recognized as important. Partnerships with consumers, primary care and community organizations; risk stratified pathways with rapid re-access to specialist care; and early preparation for survivorship, self-management and shared care models supported positive project outcomes. Tailoring care to individual needs and predicted risks was supported. Challenges included: lack of valid assessment and prediction tools; limited evidence to support novel care models; workforce redesign; and effective engagement with community-based care and issues around survivorship terminology., Conclusion: The VCSP project outcomes have added to growing evidence around posttreatment care. Future projects should consider the identified enablers and challenges when designing and implementing survivorship care., (© 2015 Wiley Publishing Asia Pty Ltd.)