SKRINING PADA KANKER KULIT

Authors

  • Inadia Putri Chairista Departemen Dermatologi dan Venereologi, FK Universitas Indonesia/ RSUPN Dr. Cipto Mangunkusumo, Jakarta
  • Larisa Paramitha Departemen Dermatologi dan Venereologi, FK Universitas Indonesia/ RSUPN Dr. Cipto Mangunkusumo, Jakarta
  • Adhimukti T Sampurna Departemen Dermatologi dan Venereologi, FK Universitas Indonesia/ RSUPN Dr. Cipto Mangunkusumo, Jakarta
  • RR Inge Ade Krisanti Departemen Dermatologi dan Venereologi, FK Universitas Indonesia/ RSUPN Dr. Cipto Mangunkusumo, Jakarta
  • Danang T Wahyudi Satuan Medis Fungsional Kulit dan Kelamin, Pusat Kanker Nasional, Rumah Sakit Kanker Dharmais, Jakarta
  • Aida SD Hoemardani Satuan Medis Fungsional Kulit dan Kelamin, Pusat Kanker Nasional, Rumah Sakit Kanker Dharmais, Jakarta
  • Yufanti Sujudi Departemen Dermatologi dan Venereologi, Rumah Sakit Fatmawati, Jakarta
  • Lili Legiawati Departemen Dermatologi dan Venereologi, FK Universitas Indonesia/ RSUPN Dr. Cipto Mangunkusumo, Jakarta

DOI:

https://doi.org/10.33820/mdvi.v51i3.423

Keywords:

kanker kulit, populasi, pemberi layanan, skrining, teknik

Abstract

Tingginya insiden, prevalensi, morbiditas, dan mortalitas kanker kulit telah menjadi permasalahan kesehatan masyarakat di seluruh dunia. Skrining kanker kulit dilakukan sebagai salah satu upaya dalam mengurangi beban kanker kulit yang ditimbulkan. Skrining kanker kulit meliputi total body skin examination yang bersifat non-invasif, mudah, cepat, dan hemat biaya bila dibandingkan dengan skrining untuk kanker lainnya. Akan tetapi, efektivitas skrining kanker kulit pada tingkat populasi masih diperdebatkan. Tenaga kesehatan, khususnya dokter spesialis kulit berperan penting dalam pelayanan skrining kanker kulit. Pengetahuan lebih lanjut mengenai skrining kanker kulit, rekomendasi, dan berbagai teknik pendekatan diagnostik sangat diperlukan untuk memajukan program skrining kanker kulit. 

Downloads

Download data is not yet available.

References

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.
2. Zhang W, Zeng W, Jiang A, He Z, Shen X, Dong X, et al. Global, regional and national incidence, mortality and disability-adjusted life-years of skin cancers and trend analysis from 1990 to 2019: An analysis of the Global Burden of Disease Study 2019. Cancer Med. 2021;10(14):4905–22.
3. Johnson MM, Leachman SA, Aspinwall LG, Cranmer LD, Curiel-Lewandrowski C, Sondak VK, et al. Skin cancer screening: Recommendations for data-driven screening guidelines and a review of the US Preventive Services Task Force controversy. Melanoma Manag. 2017;4(1):13–37.
4. Losina E, Walensky RP, Geller A, Beddingfield III FC, Wolf LL, Gilchrest BA, et al. Visual screening for malignant melanoma: A cost-effectiveness analysis. Arch Dermatol. 2007;143(1):21–8.
5. Johansson M, Brodersen J, Gøtzsche PC, Jørgensen KJ. Screening for reducing morbidity and mortality in malignant melanoma. Cochrane Database Syst Rev. 2019;2019(6).
6. Helfand M, Mahon SM, Eden KB, Frame PS, Orleans CT. Screening for skin cancer. Am J Prev Med. 2001;20(3):47–58.
7. Leachman S, Cassidy P, Chen S, Curiel C, Geller A, Gareau D, et al. Methods of melanoma detection. Cancer Treat Res. 2016;167:51–105.
8. Linden KG. Screening and early detection of skin cancer. Curr Oncol Rep. 2004;6(6):491–6.
9. Oliveria SA, Heneghan MK, Cushman LF, Ughetta EA, Halpern AC. Skin cancer screening by dermatologists, family practitioners, and internists. Arch Dermatol. 2011;147(1):39.
10. Oliveria SA, Nehal KS, Christos PJ, Sharma N, Tromberg JS, Halpern AC. Using nurse practitioners for skin cancer screening: A pilot study. Am J Prev Med. 2001 Oct;21(3):214–7.
11. Loescher LJ, Stratton D, Slebodnik M, Goodman H. Systematic review of advanced practice nurses’ skin cancer detection knowledge and attitudes, clinical skin examination, lesion detection, and training. J Am Assoc Nurse Pract. 2018;30(1):43–58.
12. Hamidi R, Peng D, Cockburn M. Efficacy of skin self-examination for the early detection of melanoma. Int J Dermatol. 2010;49(2):126–34.
13. Titus LJ, Clough-Gorr K, Mackenzie TA, Perry A, Spencer SK, Weiss J, et al. Recent skin self-examination and doctor visits in relation to melanoma risk and tumour depth. Br J Dermatol. 2013;168(3):571–6.
14. Glazer AM, Rigel DS, Winkelmann RR, Farberg AS. Clinical diagnosis of skin cancer: Enhancing inspection and early recognition. Dermatol Clin. 2017;35(4):409–16.
15. Rigel DS, Russak J, Friedman R. The evolution of melanoma diagnosis: 25 years beyond the ABCDs. CA Cancer J Clin. 2010;60(5):301–16.
16. Wick MM, Sober AJ, Fitzpatrick TB, Mihm MC, Kopf AW, Clark WH, et al. Clinical characteristics of early cutaneous melanoma. Cancer. 1980;45(10):2684–6.
17. Friedman RJ, Rigel DS, Kopf AW. Early detection of malignant melanoma: The role of physician examination and self-examination of the skin. CA Cancer J Clin. 1985;35(3):130–51.
18. Abbasi NR, Shaw HM, Rigel DS, Friedman RJ, McCarthy WH, Osman I, et al. Early diagnosis of cutaneous melanoma revisiting the ABCD criteria. JAMA. 2004;292(22):2771–6.
19. Thomas L, Tranchand P, Berard F, Secchi T, Colin C, Moulin G. Semiological value of ABCDE criteria in the diagnosis of cutaneous pigmented tumors. Dermatology. 1998;197(1):11–7.
20. Tsao H, Olazagasti JM, Cordoro KM, Brewer JD, Taylor SC, Bordeaux JS, et al. Early detection of melanoma: Reviewing the ABCDEs American Academy of Dermatology Ad Hoc Task Force for the ABCDEs of Melanoma. J Am Acad Dermatol. 2015;72(4):717–23.
21. Healsmith MF, Bourke JF, Osborne JE, Graham-Brown RAC. An evaluation of The Revised Seven‐Point Checklist for the early diagnosis of cutaneous malignant melanoma. Br J Dermatol. 1994;130(1):48–50.
22. Daniel J, Elewski B. The ABCDEF Rule: Combining the “ABCDE Rule” and the “Ugly Duckling Sign” in an effort to improve patient self-screening examinations. J Clin Aesthet Dermatol. 2015;8:15.
23. Wolner ZJ, Yélamos O, Liopyris K, Rogers T, Marchetti MA, Marghoob AA. Enhancing skin cancer diagnosis with dermoscopy. Dermatol Clin. 2017;35(4):417–37.
24. Engasser HC, Warshaw EM. Dermatoscopy use by US dermatologists: A cross-sectional survey. J Am Acad Dermatol. 2010;63(3):412-419.e2.
25. Rogers T, Marino M, Dusza SW, Bajaj S, Marchetti MA, Marghoob A. Triage amalgamated dermoscopic algorithm (TADA) for skin cancer screening. Dermatol Pract Concept. 2017 Apr;7(2):39–46.
26. Soyer HP, Argenziano G, Zalaudek I, Corona R, Sera F, Talamini R, et al. Three-Point Checklist of dermoscopy. Dermatology. 2004;208(1):27–31.
27. Luttrell MJ, Hofmann-Wellenhof R, Fink-Puches R, Soyer HP. The AC Rule for melanoma: A simpler tool for the wider community. J Am Acad Dermatol. 2011;65(6):1233–4.
28. Jaimes N, Marghoob AA. Triage amalgamated dermoscopic algorithm. J Am Acad Dermatol. 2020 Jun;82(6):1551–2.
29. Walocko FM, Tejasvi T. Teledermatology applications in skin cancer diagnosis. Dermatol Clin. 2017;35(4):559–63.
30. Piccolo D, Smolle J, Argenziano G, Wolf IH, Braun R, Cerroni L, et al. Teledermoscopy - results of a multicentre study on 43 pigmented skin lesions. J Telemed Telecare. 2000 Jun;6(3):132–7.
31. Chuchu N, Dinnes J, Takwoingi Y, Matin RN, Bayliss SE, Davenport C, et al. Teledermatology for diagnosing skin cancer in adults. Cochrane Database Syst Rev. 2018;2018(12).
32. Wada M, Ge ZY, Gilmore SJ, Mar VJ. Use of artificial intelligence in skin cancer diagnosis and management. Med J Aust. 2020;213(6):256-259.e1.
33. Das K, Cockerell CJ, Patil A, Pietkiewicz P, Giulini M, Grabbe S, et al. Machine learning and its application in skin cancer. Int J Environ Res Public Health. 2021;18(24).
34. Fujisawa Y, Otomo Y, Ogata Y, Nakamura Y, Fujita R, Ishitsuka Y, et al. Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis. Br J Dermatol. 2019;180(2):373–81.
35. Tschandl P, Codella N, Akay BN, Argenziano G, Braun RP, Cabo H, et al. Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study. Lancet Oncol. 2019/06/12. 2019 Jul;20(7):938–47.
36. Higgins HW, Lee KC, Leffell DJ. Point of care cutaneous imaging technology in melanoma screening and mole mapping. F1000Prime Rep. 2014;6(May):1–7.
37. Deinlein T, Michor C, Hofmann-Wellenhof R, Schmid-Zalaudek K, Fink-Puches R. The importance of total-body photography and sequential digital dermatoscopy for monitoring patients at increased melanoma risk. J Dtsch Dermatol Ges. 2020;18(7):692–7.
38. Hornung A, Steeb T, Wessely A, Brinker TJ, Breakell T, Erdmann M, et al. The value of total body photography for the early detection of melanoma: A systematic review. Int J Environ Res Public Health. 2021;18(4):1726.
39. Dengel LT, Petroni GR, Judge J, Chen D, Acton ST, Schroen AT, et al. Total body photography for skin cancer screening. Int J Dermatol. 2015;54(11):1250–4.
40. Walter FM, Morris HC, Humphrys E, Hall PN, Prevost AT, Burrows N, et al. Effect of adding a diagnostic aid to best practice to manage suspicious pigmented lesions in primary care: Randomised controlled trial. BMJ. 2012;345(7866):1–14.
41. Dinnes J, Bamber J, Chuchu N, Bayliss SE, Takwoingi Y, Davenport C, et al. High-frequency ultrasound for diagnosing skin cancer in adults. Cochrane Database Syst Rev. 2018;2018(12).
42. Ferrante di Ruffano L, Dinnes J, Deeks JJ, Chuchu N, Bayliss SE, Davenport C, et al. Optical coherence tomography for diagnosing skin cancer in adults. Cochrane Database Syst Rev. 2018;2018(12).
43. Dinnes J, Deeks JJ, Saleh D, Chuchu N, Bayliss SE, Patel L, et al. Reflectance confocal microscopy for diagnosing cutaneous melanoma in adults. Cochrane database Syst Rev. 2018 Dec;12(12):CD013190.

Published

2024-09-30

How to Cite

Chairista, I. P., Paramitha, L., Sampurna, A. T., Krisanti, R. I. A., Wahyudi, D. T., Hoemardani, A. S., Sujudi, Y., & Legiawati, L. (2024). SKRINING PADA KANKER KULIT. Media Dermato-Venereologica Indonesiana, 51(3), 118–124. https://doi.org/10.33820/mdvi.v51i3.423