Literature DB >> 33578996

The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review.

Annkathrin Hornung1,2, Theresa Steeb1,2, Anja Wessely1,2, Titus J Brinker3, Thomas Breakell1,2, Michael Erdmann1,2, Carola Berking1,2, Markus V Heppt1,2.   

Abstract

Early detection of melanoma is critical to reduce the mortality and morbidity rates of this tumor. Total body photography (TBP) may aid in the early detection of melanoma. To summarize the current evidence on TBP for the early detection of melanoma, we performed a systematic literature search in Medline, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) for eligible records up to 6th August 2020. Outcomes of interest included melanoma incidence, incisional and excisional biopsy rates, as well as the Breslow's index of detected tumors. Results from individual studies were described qualitatively. The risks of bias and applicability of the included studies was assessed using the QUADAS-2 checklist. In total, 14 studies published between 1997 and 2020 with an overall sample size of n = 12082 (range 100-4692) were included in the qualitative analysis. Individuals undergoing TBP showed a trend towards a lower Breslow's thickness and a higher proportion of in situ melanomas compared to those without TBP. The number needed to excise one melanoma varied from 3:1 to 14.3:1 and was better for lesions that arose de novo than for tracked ones. The included studies were judged to be of unclear methodological concern with specific deficiencies in the domains "flow and timing" and "reference standard". The use of TBP can improve the early detection of melanoma in high-risk populations. Future studies are warranted to reduce the heterogeneity of phenotypic risk factor definition and the technical implementation of TBP. Artificial intelligence-assisted analysis of images derived from 3-D TBP systems and digital dermoscopy may further improve the early detection of melanoma.

Entities:  

Keywords:  artificial intelligence; early detection; melanoma; photography; prevention; skin cancer; total body photographic cutaneous surveillance

Year:  2021        PMID: 33578996      PMCID: PMC7916771          DOI: 10.3390/ijerph18041726

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  42 in total

Review 1.  Survival of patients with advanced metastatic melanoma: the impact of novel therapies-update 2017.

Authors:  Selma Ugurel; Joachim Röhmel; Paolo A Ascierto; Keith T Flaherty; Jean Jacques Grob; Axel Hauschild; James Larkin; Georgina V Long; Paul Lorigan; Grant A McArthur; Antoni Ribas; Caroline Robert; Dirk Schadendorf; Claus Garbe
Journal:  Eur J Cancer       Date:  2017-08-23       Impact factor: 9.162

2.  Correlation of total body photography frequency and invasive melanoma depth.

Authors:  Elizabeth D Drugge; Rebecca M Sarac; Dirk M Elston; Rhett J Drugge
Journal:  J Am Acad Dermatol       Date:  2019-11-09       Impact factor: 11.527

3.  Skin cancer screening in Germany - perception by the public.

Authors:  Matthias Augustin; Rudolf Stadler; Michael Reusch; Ines Schäfer; Thomas Kornek; Thomas Luger
Journal:  J Dtsch Dermatol Ges       Date:  2011-09-17       Impact factor: 5.584

4.  Human-computer collaboration for skin cancer recognition.

Authors:  Philipp Tschandl; Christoph Rinner; Zoe Apalla; Giuseppe Argenziano; Noel Codella; Allan Halpern; Monika Janda; Aimilios Lallas; Caterina Longo; Josep Malvehy; John Paoli; Susana Puig; Cliff Rosendahl; H Peter Soyer; Iris Zalaudek; Harald Kittler
Journal:  Nat Med       Date:  2020-06-22       Impact factor: 53.440

5.  Population-based 20-year survival among people diagnosed with thin melanomas in Queensland, Australia.

Authors:  Adèle C Green; Peter Baade; Michael Coory; Joanne F Aitken; Mark Smithers
Journal:  J Clin Oncol       Date:  2012-03-12       Impact factor: 44.544

6.  Melanomas detected with the aid of total cutaneous photography.

Authors:  N E Feit; S W Dusza; A A Marghoob
Journal:  Br J Dermatol       Date:  2004-04       Impact factor: 9.302

7.  Improved melanoma outcomes and survival in patients monitored by total body photography: A natural experiment.

Authors:  Jennifer L Strunck; Tristan C Smart; Kenneth M Boucher; Aaron M Secrest; Douglas Grossman
Journal:  J Dermatol       Date:  2020-01-17       Impact factor: 4.005

Review 8.  The role of technology in melanoma screening and diagnosis.

Authors:  Albert T Young; Niki B Vora; Jose Cortez; Andrew Tam; Yildiray Yeniay; Ladi Afifi; Di Yan; Adi Nosrati; Andrew Wong; Arjun Johal; Maria L Wei
Journal:  Pigment Cell Melanoma Res       Date:  2020-08-02       Impact factor: 4.693

Review 9.  Risk prediction models for melanoma: a systematic review.

Authors:  Juliet A Usher-Smith; Jon Emery; Angelos P Kassianos; Fiona M Walter
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-06-03       Impact factor: 4.254

10.  Risk Prediction Models for Melanoma: A Systematic Review on the Heterogeneity in Model Development and Validation.

Authors:  Isabelle Kaiser; Annette B Pfahlberg; Wolfgang Uter; Markus V Heppt; Marit B Veierød; Olaf Gefeller
Journal:  Int J Environ Res Public Health       Date:  2020-10-28       Impact factor: 3.390

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  1 in total

1.  Birth of a Melanoma.

Authors:  Sofia Bogiatzi; Alessandra Pagnoni; Daniel Hohl; Olivier Gaide
Journal:  Dermatol Pract Concept       Date:  2022-04-01
  1 in total

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