Total body photography for skin cancer screening

Cutaneous Imaging Techniques

Cutaneous imaging is a central tenant to the practice of dermatology. In this article, the authors explore various noninvasive and invasive skin imaging techniques, as well as the latest deployment of these technologies in conjunction with the use artificial intelligence and machine learning. The authors also provide insight into the benefits, limitations, and challenges around integrating these technologies into dermatologic practice.

Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes

This paper presents the most current and innovative solutions applying modern digital image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of the most common types of cancers. It is said that in the USA only, one in five people will develop skin cancer and this trend is constantly increasing. Implementation of new, non-invasive methods plays a crucial role in both identification and prevention of skin cancer occurrence. Early diagnosis and treatment are needed in order to decrease the number of deaths due to this disease. This paper also contains some information regarding the most common skin cancer types, mortality and epidemiological data for Poland, Europe, Canada and the USA. It also covers the most efficient and modern image recognition methods based on the artificial intelligence applied currently for diagnostics purposes. In this work, both professional, sophisticated as well as inexpensive solutions were presented. This paper is a review paper and covers the period of 2017 and 2022 when it comes to solutions and statistics. The authors decided to focus on the latest data, mostly due to the rapid technology development and increased number of new methods, which positively affects diagnosis and prognosis.

Terahertz in vivo imaging of human skin: Toward detection of abnormal skin pathologies

Terahertz (THz) imaging has long held promise for skin cancer detection but has been hampered by the lack of practical technological implementation. In this article, we introduce a technique for discriminating several skin pathologies using a coherent THz confocal system based on a THz quantum cascade laser. High resolution in vivo THz images (with diffraction limited to the order of 100 μm) of several different lesion types were acquired and compared against one another using the amplitude and phase values. Our system successfully separated pathologies using a combination of phase and amplitude information and their respective surface textures. The large scan field (50 × 40 mm) of the system allows macroscopic visualization of several skin lesions in a single frame. Utilizing THz imaging for dermatological assessment of skin lesions offers substantial additional diagnostic value for clinicians. THz images contain information complementary to the information contained in the conventional digital images.

Lessons Learned in Change Management in Deploying Novel Informatics Solutions: Experience Implementing a Point-of-Care Patient Photography System with Radiography

We describe implementation of a point-of-care system for simultaneous acquisition of patient photographs along with portable radiographs at a large academic hospital. During the implementation process, we observed several technical challenges in the areas of (1) hardware-automatic triggering for photograph acquisition, camera hardware enclosure, networking, and system server hardware and (2) software-post-processing of photographs. Additionally, we also faced cultural challenges involving workflow issues, communication with technologists and users, and system maintenance. We describe our solutions to address these challenges. We anticipate that these experiences will provide useful insights into deploying and iterating new technologies in imaging informatics.

Fotografie in der Dermatologie - ein Scoping Review: Praktiken, Skin of Color, Patientenpräferenzen und medizinisch-rechtliche Überlegungen

Die klinische Fotografie ist essentiell für die Dermatologie. Es gibt jedoch keine umfassende Aufarbeitung der Literatur zur Fotografie in der Dermatologie. Dieser Scoping Review soll die Literatur zu fotografischen Praktiken in der Dermatologie, der Fotografie stark pigmentierter Haut (Skin of Color), Patientenpräferenzen und medizinisch‐rechtlichen Überlegungen zusammenfassen. Die Datenbanken Embase, MEDLINE, PubMed und Evidence Based Medicine wurden im Einklang mit der PRISMA‐Erweiterung für Scoping Reviews durchsucht. Insgesamt wurden 33 Studien zusammengefasst. Die klinische Fotografie wird häufig für die Markierung von Biospiestellen, Beurteilung, Diagnostik, Krankheitsüberwachung, Bewertung des Ansprechens auf die Behandlung, medizinische Ausbildung, Forschung, das Einholen kollegialer Ratschläge und in der Teledermatologie eingesetzt. Obwohl es in der dermatologischen Fotografie weiterhin kaum Darstellungen von Skin of Color gibt, sind fotografische Überlegungen für dunklere Hauttypen verfügbar. Die meisten Patienten unterstützen die medizinische Fotografie. Dabei besteht der Wunsch, dass klinische Fotografien vom eigenen Arzt aufgenommen und bevorzugt klinikeigene Kameras und keine persönlichen Geräte verwendet werden. Relevante medizinisch‐rechtliche Fragestellungen umfassen Bedenken hinsichtlich des Datenschutzes, der Verwendung persönlicher Geräte und der Dokumentation der Einwilligung. Die Fotografie in der Dermatologie entwickelt sich ständig weiter und findet immer breitere Anwendung. Verbesserte Verfahren und Innovationen werden Menschen aller Hautfarben zugute kommen. Die Einhaltung der Zustimmung und des Datenschutzes muss gewährleistet werden, um die zunehmende Einfachheit der Bildaufnahme und ‐freigabe aufrechtzuerhalten.

Photography in dermatology - a scoping review: Practices, skin of color, patient preferences, and medical-legal considerations

Clinical photography is essential in dermatology. However, a comprehensive literature review of photography in dermatology is lacking. This scoping review aims to summarize the literature regarding photography practices in dermatology, photography of skin of color, patient preferences, and medical-legal considerations. A search was conducted utilizing Embase, MEDLINE, PubMed, and Evidence Based Medicine databases in accordance with the PRISMA extension for Scoping Reviews. In total, 33 studies were summarized. Clinical photography is commonly used in biopsy site marking, assessment, diagnosis, disease monitoring, evaluation of treatment response, medical education, research, seeking advice from colleagues, and teledermatology. Although dermatologic photography remains devoid of skin of color representation, photographic considerations for darker skin are available. Most patients support medical photography, with a preference for clinical photographs to be taken by their own physicians, and for use of clinic/hospital-owned cameras over personal devices. Pertinent medical-legal issues include concerns around privacy, personal device use, and documentation of consent. Photography in dermatology is continuously evolving with broader applications. Improved practices and innovations will benefit individuals of various skin tones. Management of consent and privacy must be upheld to sustain the increasing ease of image capture and sharing.

Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks

BACKGROUND

The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting is highly variable due to lack of consistent methodology and lack of inter-rater agreement. Machine learning has been shown to be a valuable tool for image classification in dermatology.

OBJECTIVES

To test whether automated, reproducible naevus counts are possible through the combination of convolutional neural networks (CNN) and three-dimensional (3D) total body imaging.

METHODS

Total body images from a study of naevi in the general population were used for the training (82 subjects, 57,742 lesions) and testing (10 subjects; 4,868 lesions) datasets for the development of a CNN. Lesions were labelled as naevi, or not ("non-naevi"), by a senior dermatologist as the gold standard. Performance of the CNN was assessed using sensitivity, specificity, and Cohen's kappa, and evaluated at the lesion level and person level.

RESULTS

Lesion-level analysis comparing the automated counts to the gold standard showed a sensitivity and specificity of 79% (76-83%) and 91% (90-92%), respectively, for lesions ≥2 mm, and 84% (75-91%) and 91% (88-94%) for lesions ≥5 mm. Cohen's kappa was 0.56 (0.53-0.59) indicating moderate agreement for naevi ≥2 mm, and substantial agreement (0.72, 0.63-0.80) for naevi ≥5 mm. For the 10 individuals in the test set, person-level agreement was assessed as categories with 70% agreement between the automated and gold standard counts. Agreement was lower in subjects with numerous seborrhoeic keratoses.

CONCLUSION

Automated naevus counts with reasonable agreement to those of an expert clinician are possible through the combination of 3D total body photography and CNNs. Such an algorithm may provide a faster, reproducible method over the traditional in person total body naevus counts.

The role of technology in melanoma screening and diagnosis

Melanoma presents challenges for timely and accurate diagnosis. Expert panels have issued risk-based screening guidelines, with recommended screening by visual inspection. To assess how recent technology can impact the risk/benefit considerations for melanoma screening, we comprehensively reviewed non-invasive visual-based technologies. Dermoscopy increases lesional diagnostic accuracy for both dermatologists and primary care providers; total body photography and sequential digital dermoscopic imaging also increase diagnostic accuracy, are supported by automated lesion detection and tracking, and may be best suited to use by dermatologists for longitudinal follow-up. Specialized imaging modalities using non-visible light technology have unproven benefit over dermoscopy and can be limited by cost, access, and training requirements. Mobile apps facilitate image capture and lesion tracking. Teledermatology has good concordance with face-to-face consultation and increases access, with increased accuracy using dermoscopy. Deep learning models can surpass dermatologist accuracy, but their clinical utility has yet to be demonstrated. Technology-aided diagnosis may change the calculus of screening; however, well-designed prospective trials are needed to assess the efficacy of these different technologies, alone and in combination to support refinement of guidelines for melanoma screening.

Interpreting Radiographs with Concurrently Obtained Patient Photographs

A technology for automatically obtaining patient photographs along with portable radiographs was implemented clinically at a large academic hospital. This article highlights several cases in which image-related clinical context, provided by the patient photographs, provided quality control information regarding patient identification, laterality, or position and assisted the radiologist with the interpretation. The information in the photographs can easily minimize unnecessary calls to the patient’s nursing staff for clarifications and can lead to new methods of physically assessing patients.

Patient Photographs: Privacy Versus Protection

OBJECTIVE

Technologies to obtain point-of-care photographs along with medical imaging studies are now available. We discuss the protections that photographs can provide in radiology and the potential privacy and legal issues that can arise with their incorporation.

CONCLUSION

Point-of-care photographs that are simultaneously obtained with medical imaging studies can provide biometric identification that enables detection of wrong-patient errors. Photographs also provide image-related clinical context. However, successful implementation of such technologies requires consideration of the privacy and legal issues perceived by stakeholders.

Skin cancer detection using non-invasive techniques

Skin cancer is the most common form of cancer and is globally rising. Historically, the diagnosis of skin cancers has depended on various conventional techniques which are of an invasive manner. A variety of commercial diagnostic tools and auxiliary techniques are available to detect skin cancer. This article explains in detail the principles and approaches involved for non-invasive skin cancer diagnostic methods such as photography, dermoscopy, sonography, confocal microscopy, Raman spectroscopy, fluorescence spectroscopy, terahertz spectroscopy, optical coherence tomography, the multispectral imaging technique, thermography, electrical bio-impedance, tape stripping and computer-aided analysis. The characteristics of an ideal screening test are outlined, and the authors pose several points for clinicians and scientists to consider in the evaluation of current and future studies of skin cancer detection and diagnosis. This comprehensive review critically analyses the literature associated with the field and summarises the recent updates along with their merits and demerits.

The DIY Digital Medical Centre

Healthcare systems worldwide are confronted with major economic, organizational and logistical challenges. Historic evolution of health care has led to significant healthcare sector fragmentation, resulting in systemic inefficiencies and suboptimal resource exploitation. To attain a sustainable healthcare model, fundamental, system-wide improvements that effectively network, and ensure fulfilment of potential synergies between sectors, and include and facilitate coherent strategic planning and organisation of healthcare infrastructure are needed. Critically, they must be specifically designed to sustainably achieve peak performance within the current policy environment for cost-control, and efficiency and quality improvement for service delivery. We propose creation of a new healthcare cluster, to be embedded in existing healthcare systems. It consists of (i) local 24/7 walk-in virtually autonomous do-it-yourself Digital Medical Centres performing routine diagnosis, monitoring, prevention, treatment and standardized documentation and health outcome assessment/reporting, which are online interfaced with (ii) regional 24/7 eClinician Centres providing on-demand clinical supervision/assistance to Digital Medical Centre patients. Both of these are, in turn, online interfaced with (iii) the National Clinical Informatics Centre, which houses the national patient data centre (cloud) and data analysis units that conduct patient- and population-level, personalized and predictive(-medicine) intervention optimization analyses. The National Clinical Informatics Centre also interfaces with biomedical research and prioritizes and accelerates the translation of new discoveries into clinical practice. The associated Health Policy Innovation and Evaluation Centre rapidly integrates new findings with health policy/regulatory discussions. This new cluster would synergistically link all health system components in a circular format, enable not only access by all arms of the health service to latest patient data, but also automatic algorithm analysis and prediction of clinical development of individual patients, reduce bureaucratic burden on medical professionals by enabling a greater level of focus of their expertise on non-routine medical tasks, lead to automatic translation of aggregate patient data/new knowledge into medical practice, and orient future evolution of health systems towards greater cohesion/integration and hence efficiency. A central plank of the proposed concept is increased emphasis on reduction of disease incidence and severity, to diminish both patient suffering and treatment costs. This will be achieved at the individual and population levels, through (i) significantly improved access to medical services, (ii) stronger focus on primary and secondary prevention and early treatment measures, and disease susceptibility prediction via personalized medicine, involving inter alia genome analysis at birth and periodic analysis of microbiomes and biomarkers, and integration with other patient health and epidemiology parameters, (iii) improved surveillance and (iv) intervention outcome benchmarking. The dMCs will become drivers of innovation and integrative evolution in health systems, of disease reduction and efficiency gains, and thus major contributors to development of sustainability of health care.

Ultraviolet Radiation Exposure and Its Impact on Skin Cancer Risk

OBJECTIVES

To review research and evidence-based resources on skin cancer prevention and early detection and their importance for oncology nurses.

DATA SOURCES

Journal articles, federal reports, cancer surveillance data, behavioral surveillance data.

CONCLUSION

Most cases of skin cancer are preventable. Survivors of many types of cancer are at increased risk of skin cancers.

IMPLICATIONS FOR NURSING PRACTICE

Oncology nurses can play an important role in protecting their patients from future skin cancer morbidity and mortality.

Development and clinical validation of a novel photography-based skin pigmentation evaluation system: a comparison with the calculated consensus of dermatologists

OBJECTIVE

Various cosmetics, medicines, and light and laser treatments have been increasingly developed to improve pigmentary skin alterations such as melasma, actinic lentigo and dyschromia. To determine the efficacy of these modalities in view of the changes in pigmentation, an objective and reliable device that has a comparable performance to that of physicians is required. We developed a novel photography-based skin pigmentation evaluation system and validated its accuracy and reliability with a newly proposed method.

METHODS

A novel photography-based system was developed that integrates a consistent photography setting and image processing diagnostic algorithms. To automatically detect areas of pigmentation, the diagnostic algorithms were applied to photographs, which were obtained from 31 female patients. To validate its performance in comparison with the physicians' evaluation, five dermatologists independently evaluated the area of pigmentation. The clinical consensus area of pigmentation (CCAP) was calculated based on the consensus of five dermatologists' to exclude subjectivity or bias, and it was compared with the pigmentation area determined by the system.

RESULTS

Forty-four photographs with pigmented areas were evaluated by the system and the physicians. In contrast to the individual physician assessments, CCAP reduced the error that occurred due to subjectivity and bias, particularly for areas with indistinct pigmentation, and it was set as the gold standard. The results from the system showed a mean accuracy of 92.1% and a standard deviation of 4.6% in comparison with CCAP.

CONCLUSION

This pigmentation evaluation system can reproduce the physicians' consensus, suggesting that this system can support the dermatologists' objective evaluation of pigmentation.