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1.
J Eur Acad Dermatol Venereol ; 38(1): 22-30, 2024 Jan.
Article in English | MEDLINE | ID: mdl-37766502

ABSTRACT

BACKGROUND: As the use of smartphones continues to surge globally, mobile applications (apps) have become a powerful tool for healthcare engagement. Prominent among these are dermatology apps powered by Artificial Intelligence (AI), which provide immediate diagnostic guidance and educational resources for skin diseases, including skin cancer. OBJECTIVE: This article, authored by the EADV AI Task Force, seeks to offer insights and recommendations for the present and future deployment of AI-assisted smartphone applications (apps) and web-based services for skin diseases with emphasis on skin cancer detection. METHODS: An initial position statement was drafted on a comprehensive literature review, which was subsequently refined through two rounds of digital discussions and meticulous feedback by the EADV AI Task Force, ensuring its accuracy, clarity and relevance. RESULTS: Eight key considerations were identified, including risks associated with inaccuracy and improper user education, a decline in professional skills, the influence of non-medical commercial interests, data security, direct and indirect costs, regulatory approval and the necessity of multidisciplinary implementation. Following these considerations, three main recommendations were formulated: (1) to ensure user trust, app developers should prioritize transparency in data quality, accuracy, intended use, privacy and costs; (2) Apps and web-based services should ensure a uniform user experience for diverse groups of patients; (3) European authorities should adopt a rigorous and consistent regulatory framework for dermatology apps to ensure their safety and accuracy for users. CONCLUSIONS: The utilisation of AI-assisted smartphone apps and web-based services in diagnosing and treating skin diseases has the potential to greatly benefit patients in their dermatology journeys. By prioritising innovation, fostering collaboration and implementing effective regulations, we can ensure the successful integration of these apps into clinical practice.


Subject(s)
Mobile Applications , Skin Neoplasms , Humans , Artificial Intelligence , Smartphone , Skin Neoplasms/diagnosis , Internet
2.
J Eur Acad Dermatol Venereol ; 38(7): 1432-1438, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38483241

ABSTRACT

BACKGROUND: The detection of cutaneous metastases (CMs) from various primary tumours represents a diagnostic challenge. OBJECTIVES: Our aim was to evaluate the general characteristics and dermatoscopic features of CMs from different primary tumours. METHODS: Retrospective, multicentre, descriptive, cross-sectional study of biopsy-proven CMs. RESULTS: We included 583 patients (247 females, median age: 64 years, 25%-75% percentiles: 54-74 years) with 632 CMs, of which 52.2% (n = 330) were local, and 26.7% (n = 169) were distant. The most common primary tumours were melanomas (n = 474) and breast cancer (n = 59). Most non-melanoma CMs were non-pigmented (n = 151, 95.6%). Of 169 distant metastases, 54 (32.0%) appeared on the head and neck region. On dermatoscopy, pigmented melanoma metastases were frequently structureless blue (63.6%, n = 201), while amelanotic metastases were typified by linear serpentine vessels and a white structureless pattern. No significant difference was found between amelanotic melanoma metastases and CMs of other primary tumours. CONCLUSIONS: The head and neck area is a common site for distant CMs. Our study confirms that most pigmented melanoma metastasis are structureless blue on dermatoscopy and may mimic blue nevi. Amelanotic metastases are typified by linear serpentine vessels and a white structureless pattern, regardless of the primary tumour.


Subject(s)
Dermoscopy , Melanoma , Skin Neoplasms , Humans , Skin Neoplasms/pathology , Skin Neoplasms/diagnostic imaging , Cross-Sectional Studies , Middle Aged , Female , Male , Retrospective Studies , Aged , Melanoma/pathology , Melanoma/secondary , Melanoma/diagnostic imaging , Breast Neoplasms/pathology , Breast Neoplasms/diagnostic imaging , Adult , Head and Neck Neoplasms/pathology , Head and Neck Neoplasms/diagnostic imaging , Head and Neck Neoplasms/secondary
3.
J Dtsch Dermatol Ges ; 21(8): 872-879, 2023 08.
Article in English | MEDLINE | ID: mdl-37235503

ABSTRACT

BACKGROUND AND OBJECTIVES: To date, there is no structured program for dermatoscopy training during residency in Germany. Whether and how much dermatoscopy training is acquired is left to the initiative of each resident, although dermatoscopy is one of the core competencies of dermatological training and daily practice. The aim of the study was to establish a structured dermatoscopy curriculum during residency at the University Hospital Augsburg. PATIENTS AND METHODS: An online platform with dermatoscopy modules was created, accessible regardless of time and place. Practical skills were acquired under the personal guidance of a dermatoscopy expert. Participants were tested on their level of knowledge before and after completing the modules. Test scores on management decisions and correct dermatoscopic diagnosis were analyzed. RESULTS: Results of 28 participants showed improvements in management decisions from pre- to posttest (74.0% vs. 89.4%) and in dermatoscopic accuracy (65.0% vs. 85.6%). Pre- vs. posttest differences in test score (7.05/10 vs. 8.94/10 points) and correct diagnosis were significant (p < 0.001). CONCLUSIONS: The dermatoscopy curriculum increases the number of correct management decisions and dermatoscopy diagnoses. This will result in more skin cancers being detected, and fewer benign lesions being excised. The curriculum can be offered to other dermatology training centers and medical professionals.


Subject(s)
Internship and Residency , Humans , Dermoscopy , Curriculum , Germany , Hospitals
4.
Medicina (Kaunas) ; 58(12)2022 Nov 30.
Article in English | MEDLINE | ID: mdl-36556965

ABSTRACT

Background and objectives: Dermoscopy is a useful tool for the early and non-invasive diagnosis of skin malignancies. Besides many progresses, heavily pigmented and amelanotic skin tumors remain still a challenge. We aimed to investigate by dermoscopy if distinctive morphologic characteristics of vessels may help the diagnosis of equivocal nodular lesions. Materials and Methods: A collage of 16 challenging clinical and dermoscopic images of 8 amelanotic and 8 heavily pigmented nodular melanomas and basal cell carcinomas was sent via e-mail to 8 expert dermoscopists. Results: Dermoscopy improved diagnostic accuracy in 40 cases. Vessels were considered the best clue in 71 cases. Focusing on the diameter of vessels improved diagnosis in 5 cases. Conclusions: vascular diameter in addition to morphology and arrangement may be a useful dermoscopic clue for the differential diagnosis of clinically equivocal nodular malignant tumors.


Subject(s)
Carcinoma, Basal Cell , Melanoma , Skin Neoplasms , Humans , Skin Neoplasms/diagnostic imaging , Skin Neoplasms/pathology , Melanoma/diagnostic imaging , Melanoma/pathology , Carcinoma, Basal Cell/diagnostic imaging , Diagnosis, Differential , Melanoma, Cutaneous Malignant
5.
J Dtsch Dermatol Ges ; 19(8): 1178-1184, 2021 Aug.
Article in English | MEDLINE | ID: mdl-34096688

ABSTRACT

BACKGROUND AND OBJECTIVES: Convolutional neural networks (CNN) enable accurate diagnosis of medical images and perform on or above the level of individual physicians. Recently, collective human intelligence (CoHI) was shown to exceed the diagnostic accuracy of individuals. Thus, diagnostic performance of CoHI (120 dermatologists) versus individual dermatologists versus two state-of-the-art CNN was investigated. PATIENTS AND METHODS: Cross-sectional reader study with presentation of 30 clinical cases to 120 dermatologists. Six diagnoses were offered and votes collected via remote voting devices (quizzbox®, Quizzbox Solutions GmbH, Stuttgart, Germany). Dermatoscopic images were classified by a binary and multiclass CNN (FotoFinder Systems GmbH, Bad Birnbach, Germany). Three sets of diagnostic classifications were scored against ground truth: (1) CoHI, (2) individual dermatologists, and (3) CNN. RESULTS: CoHI attained a significantly higher accuracy [95 % confidence interval] (80.0 % [62.7 %-90.5 %]) than individual dermatologists (75.7 % [73.8 %-77.5 %]) and CNN (70.0 % [52.1 %-83.3 %]; all P < 0.001) in binary classifications. Moreover, CoHI achieved a higher sensitivity (82.4 % [59.0 %-93.8 %]) and specificity (76.9 % [49.7 %-91.8 %]) than individual dermatologists (sensitivity 77.8 % [75.3 %-80.2 %], specificity 73.0 % [70.6 %-75.4 %]) and CNN (sensitivity 70.6 % [46.9 %-86.7 %], specificity 69.2 % [42.4 %-87.3 %]). The diagnostic accuracy of CoHI was superior to that of individual dermatologists (P < 0.001) in multiclass evaluation, with the accuracy of the latter comparable to multiclass CNN. CONCLUSIONS: Our analysis revealed that the majority vote of an interconnected group of dermatologists (CoHI) outperformed individuals and CNN in a demanding skin lesion classification task.


Subject(s)
Melanoma , Skin Neoplasms , Artificial Intelligence , Cross-Sectional Studies , Dermatologists , Dermoscopy , Humans , Intelligence , Skin Neoplasms/diagnosis
6.
J Chem Inf Model ; 60(11): 5457-5474, 2020 11 23.
Article in English | MEDLINE | ID: mdl-32813975

ABSTRACT

Accurate ranking of compounds with regards to their binding affinity to a protein using computational methods is of great interest to pharmaceutical research. Physics-based free energy calculations are regarded as the most rigorous way to estimate binding affinity. In recent years, many retrospective studies carried out both in academia and industry have demonstrated its potential. Here, we present the results of large-scale prospective application of the FEP+ method in active drug discovery projects in an industry setting at Merck KGaA, Darmstadt, Germany. We compare these prospective data to results obtained on a new diverse, public benchmark of eight pharmaceutically relevant targets. Our results offer insights into the challenges faced when using free energy calculations in real-life drug discovery projects and identify limitations that could be tackled by future method development. The new public data set we provide to the community can support further method development and comparative benchmarking of free energy calculations.


Subject(s)
Drug Discovery , Ligands , Prospective Studies , Retrospective Studies , Thermodynamics
7.
Hautarzt ; 71(8): 627-646, 2020 Aug.
Article in German | MEDLINE | ID: mdl-32377768

ABSTRACT

Dermatoscopy as a noninvasive diagnostic tool is not only useful in the differentiation of malignant and benign skin tumors, but is also effective in the diagnosis of inflammatory, infiltrative and infectious dermatoses. As a result, the need for diagnostic punch biopsies in dermatoses could be reduced. Hereby the selection of affected skin areas is essential. The diagnostic accuracy is independent of the skin type. Helpful dermatoscopic features include vessels morphology and distribution, scales colors and distribution, follicular findings, further structures such as colors and morphology as well as specific clues. The dermatoscopic diagnosis is made based on the descriptive approach in clinical routine, teaching and research. In all clinical and dermatoscopic diagnoses that remain unclear, a punch biopsy with histopathology should be performed. The dermatoscope should be cleaned after every examination according to the guidelines.


Subject(s)
Dermoscopy/methods , Skin Diseases, Infectious/diagnosis , Skin Neoplasms/diagnosis , Skin/diagnostic imaging , Humans
8.
Hautarzt ; 71(7): 535-541, 2020 Jul.
Article in German | MEDLINE | ID: mdl-32300838

ABSTRACT

BACKGROUND: There is an increasing need by general practitioners (GPs) for consultations regarding skin diseases or skin lesions. Teledermatological and teledermoscopic diagnoses are possible with good results. OBJECTIVES: This descriptive study analyzed whether the increasing need for dermatological consultations could be improved by regional teledermatological and teledermoscopic triage between GPs and dermatologists. MATERIALS AND METHODS: Via an internet platform, six GPs sent images of unclear skin diseases or skin lesions to a dermatology practice (2 dermatologists) over a period of 9 months. Possible triage answers were (1) stay at the GP, (2) urgent consultation at the dermatologist (days), or (3) later (week/months) consultation at the dermatologist, respectively, with the diagnosis and therapeutic suggestions. A feedback (grade 1-6) were given by the dermatologists about the image quality and from the GPs about the appraisal. The dermatologists' appraisals were done independently and were audited by a third dermatologist. RESULTS: The patients' acceptance was 100% and a very good to good image quality was achieved in 94%; 66.3% of patients could stay at their GP and 20.7% of patients should come urgently to the dermatologist. The teletriage decisions of an urgent consultation at the dermatologist were confirmed in 41.5%. The GPs' feedback about the teletriage appraisal received an overall average grade of 1.1. CONCLUSION: Successful regional teledermatological and teledermoscopic triage between GPs and dermatologists is possible. Specifications on data privacy laws must be followed and an appropriate remuneration is preferable.


Subject(s)
Dermatologists , General Practitioners , Interprofessional Relations , Skin Diseases , Telemedicine , Triage/methods , Dermatology/trends , Humans , Patient Care Team , Referral and Consultation , Skin Diseases/diagnosis , Skin Diseases/therapy
9.
J Dtsch Dermatol Ges ; 17(2): 214-230, 2019 Feb.
Article in English | MEDLINE | ID: mdl-30762963

ABSTRACT

Basal cell carcinoma (BCC) is the most common malignant tumor among fair-skinned individuals, and its incidence had been steadily rising in the past decades. In order to maintain the highest quality of patient care possible, the German S2k guidelines were updated following a systematic literature search and with the participation of all professional societies and associations involved in the management of the disease. Part 2 addresses issues such as proper risk stratification, the various therapeutic approaches, and prevention as well as follow-up of patients with basal cell carcinoma.


Subject(s)
Carcinoma, Basal Cell/pathology , Managed Care Programs/standards , Quality of Health Care/standards , Skin Neoplasms/pathology , Aged , Aged, 80 and over , Carcinoma, Basal Cell/epidemiology , Carcinoma, Basal Cell/prevention & control , Carcinoma, Basal Cell/therapy , Disease Management , Follow-Up Studies , Germany/epidemiology , Humans , Incidence , Middle Aged , Neoplasm Recurrence, Local/epidemiology , Neoplasm Recurrence, Local/pathology , Neoplasm Recurrence, Local/prevention & control , Practice Guidelines as Topic , Risk Assessment , Skin Neoplasms/epidemiology , Skin Neoplasms/therapy
10.
J Dtsch Dermatol Ges ; 17(1): 94-103, 2019 Jan.
Article in English | MEDLINE | ID: mdl-30592557

ABSTRACT

Basal cell carcinoma is the most common malignant tumor among fair-skinned individuals, and its incidence has been rising steadily in the past decades. In order to maintain the highest quality of patient care possible, the German S2k guidelines were updated following a systematic literature search and with the participation of all professional societies and associations involved in the management of the disease. Part 1 highlights new developments in genetics in particular as well as aspects regarding epidemiology, diagnosis, and histology.


Subject(s)
Carcinoma, Basal Cell , Skin Neoplasms , Carcinoma, Basal Cell/diagnosis , Carcinoma, Basal Cell/epidemiology , Carcinoma, Basal Cell/genetics , Humans , Molecular Epidemiology , Skin Neoplasms/diagnosis , Skin Neoplasms/epidemiology , Skin Neoplasms/genetics
11.
Ann Oncol ; 29(8): 1836-1842, 2018 08 01.
Article in English | MEDLINE | ID: mdl-29846502

ABSTRACT

Background: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking. Methods: Google's Inception v4 CNN architecture was trained and validated using dermoscopic images and corresponding diagnoses. In a comparative cross-sectional reader study a 100-image test-set was used (level-I: dermoscopy only; level-II: dermoscopy plus clinical information and images). Main outcome measures were sensitivity, specificity and area under the curve (AUC) of receiver operating characteristics (ROC) for diagnostic classification (dichotomous) of lesions by the CNN versus an international group of 58 dermatologists during level-I or -II of the reader study. Secondary end points included the dermatologists' diagnostic performance in their management decisions and differences in the diagnostic performance of dermatologists during level-I and -II of the reader study. Additionally, the CNN's performance was compared with the top-five algorithms of the 2016 International Symposium on Biomedical Imaging (ISBI) challenge. Results: In level-I dermatologists achieved a mean (±standard deviation) sensitivity and specificity for lesion classification of 86.6% (±9.3%) and 71.3% (±11.2%), respectively. More clinical information (level-II) improved the sensitivity to 88.9% (±9.6%, P = 0.19) and specificity to 75.7% (±11.7%, P < 0.05). The CNN ROC curve revealed a higher specificity of 82.5% when compared with dermatologists in level-I (71.3%, P < 0.01) and level-II (75.7%, P < 0.01) at their sensitivities of 86.6% and 88.9%, respectively. The CNN ROC AUC was greater than the mean ROC area of dermatologists (0.86 versus 0.79, P < 0.01). The CNN scored results close to the top three algorithms of the ISBI 2016 challenge. Conclusions: For the first time we compared a CNN's diagnostic performance with a large international group of 58 dermatologists, including 30 experts. Most dermatologists were outperformed by the CNN. Irrespective of any physicians' experience, they may benefit from assistance by a CNN's image classification. Clinical trial number: This study was registered at the German Clinical Trial Register (DRKS-Study-ID: DRKS00013570; https://www.drks.de/drks_web/).


Subject(s)
Deep Learning , Dermatologists/statistics & numerical data , Image Processing, Computer-Assisted/methods , Melanoma/diagnostic imaging , Skin Neoplasms/diagnostic imaging , Clinical Competence , Cross-Sectional Studies , Dermoscopy , Humans , Image Processing, Computer-Assisted/statistics & numerical data , International Cooperation , ROC Curve , Retrospective Studies , Skin/diagnostic imaging
13.
J Dtsch Dermatol Ges ; 16(2): 174-181, 2018 Feb.
Article in English | MEDLINE | ID: mdl-29384261

ABSTRACT

BACKGROUND: Survey on the current status of dermoscopy in Germany. METHODS: In the context of a pan-European internet-based study (n = 7,480) conducted by the International Dermoscopy Society, 880 German dermatologists were asked to answer questions with respect to their level of training as well as their use and perceived benefit of dermoscopy. RESULTS: Seven hundred and sixty-two (86.6 %) participants practiced dermatology in a publicly funded health care setting; 98.4 % used a dermoscope in routine clinical practice. About 93 % (n = 814) stated to have had more than five years of experience in the use of dermoscopy. Dermoscopy was considered useful in the diagnosis of melanoma by 93.6 % (n = 824); for pigmented skin tumors, by 92.4 % (n = 813); in the follow-up of melanocytic lesions, by 88.6 % (n = 780); for non-pigmented lesions, by 71.4 % (n = 628), in the follow-up of non-melanocytic lesions, by 52.7 % (n = 464); and for inflammatory skin lesions, by 28.5 % (n = 251). Overall, 86.5 % (n = 761) of participants felt that - compared to naked-eye examination - dermoscopy increased the number of melanomas diagnosed; 77,7 % (n = 684) considered the number of unnecessary excisions of benign lesions to be decreased. Participants who personally felt that dermoscopy improved their ability to diagnose melanoma were significantly i) younger, ii) had been practicing dermatology for a shorter period of time, iii) were less commonly employed by an university-affiliated dermatology department, iv) were more frequently working in an office-based public health care setting, and v) had more frequently been trained in dermoscopy during their dermatology residency. CONCLUSIONS: The findings presented herein ought to be integrated into future residency and continuing medical education programs with the challenge to improve dermato-oncological care and to expand the diagnostic spectrum of dermoscopy to include inflammatory skin diseases.


Subject(s)
Dermatology/methods , Dermoscopy/methods , Practice Patterns, Physicians' , Cross-Sectional Studies , Dermatitis/pathology , Dermatology/education , Dermoscopy/education , Europe , Female , Germany , Humans , Male , Melanoma/pathology , Middle Aged , Nevus, Pigmented/pathology , Skin Neoplasms/pathology , Surveys and Questionnaires
14.
J Am Acad Dermatol ; 77(6): 1100-1109, 2017 Dec.
Article in English | MEDLINE | ID: mdl-28941871

ABSTRACT

BACKGROUND: Nonpigmented skin cancer is common, and diagnosis with the unaided eye is error prone. OBJECTIVE: To investigate whether dermatoscopy improves the diagnostic accuracy for nonpigmented (amelanotic) cutaneous neoplasms. METHODS: We collected a sample of 2072 benign and malignant neoplastic lesions and inflammatory conditions and presented close-up images taken with and without dermatoscopy to 95 examiners with different levels of experience. RESULTS: The area under the curve was significantly higher with than without dermatoscopy (0.68 vs 0.64, P < .001). Among 51 possible diagnoses, the correct diagnosis was selected in 33.1% of cases with and 26.4% of cases without dermatoscopy (P < .001). For experts, the frequencies of correct specific diagnoses of a malignant lesion improved from 40.2% without to 51.3% with dermatoscopy. For all malignant neoplasms combined, the frequencies of appropriate management strategies increased from 78.1% without to 82.5% with dermatoscopy. LIMITATIONS: The study deviated from a real-life clinical setting and was potentially affected by verification and selection bias. CONCLUSIONS: Dermatoscopy improves the diagnosis and management of nonpigmented skin cancer and should be used as an adjunct to examination with the unaided eye.


Subject(s)
Dermoscopy , Skin Neoplasms/pathology , Adolescent , Adult , Aged , Aged, 80 and over , Child , Female , Humans , Male , Middle Aged , Prospective Studies , Reproducibility of Results , Young Adult
16.
Pediatr Res ; 79(5): 731-5, 2016 05.
Article in English | MEDLINE | ID: mdl-26761121

ABSTRACT

BACKGROUND: In asthmatic airways secondary ciliary dyskinesia contributes to impaired mucociliary clearance. To investigate underlying mechanisms, we studied the effects of cytokines associated with asthma phenotype on the ciliary beat frequency (CBF) in a cell culture model of ciliated human respiratory epithelial cells. METHODS: Nasal respiratory epithelial cells of 21 patients were used to prepare multicellular cells (spheroids) in the presence of the T helper (TH) 2 cytokines interleukin (IL)-4, IL-5, IL-9 and IL-13, and the TH1 cytokine interferon gamma (IFN-γ). CBF was determined by high-speed video microscopy. RESULTS: Addition of IL-4 and IL-13 and IL-4 + IL-13 decreased the mean CBF by 17, 21, and 22%, respectively, compared with untreated controls. Addition of IL-5 and IL-9 lead to an increase in mean CBF (20 and 10%, respectively). Lower concentrations of IFN-γ (0.1 and 1 ng/ml) decreased mean CBF and higher concentrations (10 ng/ml) increased CBF by 6%. Addition of IFN-γ to IL-13 reversed the effect of IL-13 on the CBF of spheroids. CONCLUSION: Cytokines directly influence the ciliary function of respiratory epithelium and contribute to the impaired mucociliary clearance in asthmatic disease. Our study encourages further research to investigate IFN-γ as a treatment option in diseases with impaired mucociliary clearance like asthma.


Subject(s)
Bronchi/metabolism , Cilia/physiology , Cytokines/metabolism , Interferon-gamma/metabolism , Th2 Cells/metabolism , Asthma/metabolism , Cell Culture Techniques , Epithelial Cells/cytology , Humans , Interleukin-13/metabolism , Interleukin-4/metabolism , Interleukin-5/metabolism , Interleukin-9/metabolism , Microscopy, Video , Phenotype
17.
Acta Derm Venereol ; 96(6): 779-83, 2016 Aug 23.
Article in English | MEDLINE | ID: mdl-26776245

ABSTRACT

Teledermoscopy is considered a reliable tool for the evaluation of pigmented skin lesions. We compared the management decision in face-to-face visits vs. teledermatology in a high-risk melanoma cohort using total-body photography, macroscopic and dermoscopic images of single lesions. Patients were assessed both face-to face and by 4 remote teledermatologists. Lesions identified as suspicious for skin cancer by face-to-face evaluation underwent surgical excision. The teledermatologists recommended "self-monitoring", "short-term monitoring", or "excision". A 4-year monitoring was completed in a cohort of participating subjects. The general agreement, calculated by prevalence and bias-adjusted κ (PABAK), showed almost perfect agreement (PABAK 0.9-0.982). A total of 23 lesions were excised; all teledermatologists identified the 9 melanomas. The greatest discrepancy was detected in "short-term monitoring". During 4-year monitoring one melanoma was excised that had been considered benign. In conclusion, melanoma identification by experts in pigmented lesions appears to be equivalent between face-to-face and teledermatological consultation.


Subject(s)
Dermoscopy/methods , Melanoma/diagnosis , Remote Consultation , Skin Neoplasms/diagnosis , Adolescent , Adult , Aged , Aged, 80 and over , Austria , Child , Female , Humans , Male , Melanoma/surgery , Middle Aged , Photography , Skin Neoplasms/surgery
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