Derleme
BibTex RIS Kaynak Göster

MELANOMUN ERKEN TEŞHİSİNDEKİ GÜNCEL İLERLEMELER VE EV TABANLI TANISAL YAKLAŞIMLARIN GELECEĞİ

Yıl 2024, Cilt: 5 Sayı: 1, 24 - 30, 31.05.2024

Öz

Melanom, yükselen insidansı ve buna bağlı mortalite oranları nedeniyle ciddi bir sağlık endişesi olarak kalmaya devam etmektedir. Son yıllarda, bu alanda erken teşhis yöntemlerinde kayda değer gelişmeler yaşanmıştır. Literatürde, bu yöntemlerin erken teşhis potansiyelini arttırmada etkili olduğu belgelense de, genel yaşam süresi sonuçları üzerindeki etkileri hakkında ciddi şüpheler bulunmaktadır. Bu detaylı incelemede, melanom teşhisi için doğrudan dermatolojik müdahalenin ötesinde geliştirilen güncel tanısal yöntemleri ele almaktayız. Yaptığımız analiz, melanoma teşhisinde yüksek hassasiyet sunan bir dizi ev tabanlı ve uzmanlık-dışı tekniklerin varlığını ortaya koymaktadır. Ancak bu tekniklerin klinik uygulamadaki etkinlikleri, güvenilirlikleri ve maliyet-etkinlikleri gibi konularda daha derinlemesine araştırmalara ihtiyaç vardır. Ayrıca, yapay zeka odaklı teşhis yöntemlerinin geleceğin tanı araçları olarak nasıl bir dönüşüm potansiyeli taşıdığına dair tartışmaları da içermektedir.

Kaynakça

  • 1. Saginala K, Barsouk A, Aluru JS, Rawla P, Barsouk A. Epidemiology of melanoma. Med Sci. 2021;9(3):63. https://doi.org/10.3390/medsci9040063
  • 2. Carr S, Smith C, Wernberg J. Epidemiology and risk factors of melanoma. Surg Clin N Am. 2020;100:1–12. https://doi.org/10.1016/j.suc.2019.09.005
  • 3. Tripp MK, Watson M, Balk SJ, Swetter SM, Gershenwald JE. State of the science on prevention and screening to reduce melanoma incidence and mortality: The time is now. CA Cancer J Clin. 2016;66:460–480. https://doi.org/10.3322/caac.21352
  • 4. Pennie ML, Soon SL, Risser JB, Veledar E, Culler S, Chen SC. Melanoma outcomes for Medicare patients: association of stage and survival with detection by a dermatologist vs a nondermatologist. Arch Derm. 2007;143:488–494.https://doi.org/10.1001/archderm.143.4.488
  • 5. Datzmann T, Schoffer O, Meier F, Seidler A, Schmitt J. Are patients benefiting from participation in the German skin cancer screening programme? A large cohort study based on administrative data. Br J Derm. 2022;186:69–77. https://doi.org/10.1111/bjd.20658
  • 6. Stang A, Jöckel KH. Does skin cancer screening save lives? A detailed analysis of mortality time trends in Schleswig-Holstein and Germany. Cancer. 2016;122:432–437. https://doi.org/10.1002/cncr.29755
  • 7. Leiter U, Buettner PG, Eigentler TK, Forschner A, Meier F, Garbe C. Is detection of melanoma metastasis during surveillance in an early phase of development associated with a survival benefit? Melanoma Res. 2010;20:240–246. https://doi.org/10.1097/CMR.0b013e32833716f9
  • 8. Borland R, Marks R, Noy S. Public knowledge about characteristics of moles and melanomas. Aust J Public Health. 1992;16:370–375. https://doi.org/10.1111/j.1753-6405.1992.tb00083.x
  • 9. Lawson DD, Moore DH, Schneider JS, Sagebiel RW. Nevus counting as a risk factor for melanoma: comparison of self-count with count by physician. J Am Acad Dermatol. 1994;31:438–444. https://doi.org/10.1016/S0190-9622(94)70207-1
  • 10. Hamidi R, Peng D, Cockburn M. Efficacy of skin self-examination for the early detection of melanoma. Int J Dermatol. 2010;49:126–134. https://doi.org/10.1111/j.1365-4632.2009.04268.x
  • 11. Elliott TM, Whiteman DC, Olsen CM, Gordon LG. Estimated healthcare costs of melanoma in Australia over 3 years post-diagnosis. Appl Health Econ Health Policy. 2017;15:805–816. https://doi.org/10.1007/s40258-017-0341-y
  • 12. Serra-Arbeloa P, Rabines-Juárez Á, Álvarez-Ruiz M, Guillén-Grima F. Cost of cutaneous melanoma by tumor stage: a descriptive analysis. [Estudio descriptivo de costes en melanoma cutáneo de diferentes estadios]. Actas Dermosifiliogr. 2017;108:229–236. https://doi.org/10.1016/j.ad.2016.09.010
  • 13. Alexandrescu D. Melanoma costs: a dynamic model comparing estimated overall costs of various clinical stages. Dermatol Online J. 2009;15:1. https://doi.org/10.5070/D353F8Q915
  • 14. Girgis A, Clarke P, Burton RC, Sanson-Fisher RW. Screening for melanoma by primary health care physicians: a cost-effectiveness analysis. J Med Screen. 1996;3:47–53. https://doi.org/10.1177/096914139600300112
  • 15. Freedberg KA, Geller AC, Miller DR, Lew RA, Koh HK. Screening for malignant melanoma: a cost-effectiveness analysis. J Am Acad Dermatol. 1999;41(Pt 1):738–745. https://doi.org/10.1016/S0190-9622(99)70010-1
  • 16. Losina E, Walensky RP, Geller A, Geller A, Beddingfield 3rd FC, Wolf LL, et al. Visual screening for malignant melanoma: A cost-effectiveness analysis. Arch Derm. 2007;143:21–28. https://doi.org/10.1001/archderm.143.1.21
  • 17. van der Leest R, de Vries E, Bulliard J-L, Paoli J, Peris K, Stratigos A, Trakatelli M, et al. The euromelanoma skin cancer prevention campaign in Europe: characteristics and results of 2009 and 2010. J Eur Acad Derm Venereol. 2011;25:1455–1465. https://doi.org/10.1111/j.1468-3083.2011.04228.x
  • 18. Geller AC, Zhang Z, Sober AJ, Halpern AC, Weinstock MA, Daniels S, et al. The first 15 years of the American Academy of Dermatology skin cancer screening programs: 1985–1999. J Am Acad Dermatol. 2003;48:34–41. https://doi.org/10.1067/mjd.2003.9
  • 19. Moreno-Ramirez D, Ferrandiz L, Nieto-García A, Carrasco R, Moreno- Alvarez P, Galdeano R, et al. Effect of dermoscopy on the management of patients with pigmented lesions at high risk for malignant melanoma. Arch Dermatol. 2007;143:467–474. https://doi.org/10.1001/archderm.143.4.479
  • 20. National Cancer Institute. SEER cancer statistics factsheets: melanoma of the skin. Surveillance, epidemiology, and end results program. Available online: https://seer.cancer.gov/statfacts/html/melan.html
  • 21. Cancer Research UK. Melanoma skin cancer incidence statistics. Available online: https://www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/melanoma-skin-cancer/incidence#heading-Zero
  • 22. Bellenghi M, Puglisi, R, Pontecorvi, G, De Feo, A, Carè, A, Mattia, G. Sex and gender disparities in melanoma. Cancers. 2020;12:1819. https://doi.org/10.3390/cancers12071819
  • 23. Paddock LE, Lu SE, Bandera EV, Rhoads GG, Fine J, Paine S, et al. Skin selfexamination and long-term melanoma survival. Melanoma Res. 2016;26:401– 408. https://doi.org/10.1097/CMR.0000000000000255
  • 24. David J. Men’s Health and the Primary Care Physician. Boca Raton, FL, USA: CRC Press; 2021. pp. 424–427. https://doi.org/10.1201/9780429347238-55
  • 25. Melanoma Research Alliance. Early warning signs of melanoma and other skin cancers. Available online: https://www.curemelanoma.org/about-melanoma/educate-yourself/know-what-to-look-for
  • 26. AIM at Melanoma Foundation. How to do a skin self-examination. Available online: https://www.aimatmelanoma.org/melanoma-101/early-detection-ofmelanoma/how-to-do-a-skin-self-examination
  • 27. Melanoma Research Foundation. What melanoma looks like. Available online: https://melanoma.org/melanoma-education/what-melanoma-looks-like
  • 28. The American Melanoma Foundation. Available online: https://melanomafoundation.org
  • 29. Rigel DS, Friedman RJ, Kopf AW, Polsky D. ABCDE - An evolving concept in the early detection of melanoma. Arch Dermatol. 2005;141:1032–1034. https://doi.org/10.1001/archderm.141.8.1032
  • 30. Rigel D, Russak J, Friedman R. The evolution of melanoma diagnosis: 25 years beyond the ABCDs. CA Cancer J Clin. 2010;60:301–316. https://doi.org/10.3322/caac.20074
  • 31. Aldridge, R, Zanotto, M, Ballerini, L, Fisher, R, Rees, J. Novice identification of melanoma: not quite as straightforward as the ABCDs. Acta Derm Venereol. 2011;91:125–130. https://doi.org/10.2340/00015555-1070
  • 32. Healsmith, M, Bourke, J, Osborne, J, Graham-Brown, R. An evaluation of the revised seven-point checklist for the early diagnosis of cutaneous malignant melanoma. Br J Dermatol. 1994;130:48–50. https://doi. org/10.1111/j.1365-2133.1994.tb06881.x
  • 33. 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;197:11–17. https://doi.org/10.1159/000017969
  • 34. Titus L, Clough-Gorr K, Mackenzie T, Perry A, Spencer S, Weiss J, et al. Recent skin self-examination and doctor visits in relation to melanoma risk and tumor depth. Br J Dermatol. 2013;168:571–576. https://doi.org/10.1111/bjd.12003
  • 35. Melanoma: Clinical Features and Diagnosis. Available online: https://www. medilib.ir/uptodate/show/15806
  • 36. Manne SL, Heckman CJ, Kashy D, Lozada C, Gallo J, Ritterband L, et al. Prevalence and correlates of skin self-examination practices among cutaneous malignant melanoma survivors. Prev Med Rep. 2020;19:101110. https://doi.org/10.1016/j.pmedr.2020.101110
  • 37. De Giorgi V, Grazzini M, Rossari S, Gori A, Papi F, Scarfi F, et al. Is skin selfexamination for cutaneous melanoma detection still adequate? A retrospective study. Dermatology. 2012;225:31–36. https://doi.org/10.1159/000339774
  • 38. Jones OT, Ranmuthu CKI, Hall PN, Funston G, Walter FM. Recognising skin cancer in primary care. Adv Ther. 2020;37:603–616. https://doi.org/10.1007/s12325-019-01130-1
  • 39. Pannebakker MM, Mills K, Johnson M, Emery JD, Walter FM. Understanding implementation and usefulness of electronic clinical decision support (eCDS) for melanoma in English primary care: a qualitative investigation. BJGP Open 2019;3. https://doi.org/10.3399/bjgpopen18X101635
  • 40. Walter FM, Prevost AT, Vasconcelos J, Hall PN, Burrows NP, Morris HC, et al. Using the 7-point checklist as a diagnostic aid for pigmented skin lesions in general practice: a diagnostic validation study. Br J Gen Pract 2013;63:e345–e353. https://doi.org/10.3399/bjgp13X667213
  • 41. Mittal, A, Pushpam, D, Bakhshi, S. Management of advanced melanoma in the current era: a medical oncology perspective for the Indian scenario. Natl Med J India. 2020;33:89–98. https://doi.org/10.4103/0970-258X.310984
  • 42. Graham-Brown R, Osborne JE, London SP, Fletcher A, Shaw D, Williams B, et al. The initial effects on workload and outcome of a public education campaign on early diagnosis and treatment of malignant melanoma in Leicestershire. Br J Dermatol. 1990;122:53–59. https://doi.org/10.1111/j.1365-2133.1990. tb08239.x
  • 43. Doherty V, MacKie R. Experience of a public education programme on early detection of cutaneous malignant melanoma. Br Med J. 1988;297:388–391. https://doi.org/10.1136/bmj.297.6645.388
  • 44. Cantisani C, Ambrosio L, Cucchi C, Meznerics FA, Kiss N, Bánvölgyi A, et al. Melanoma detection by non-specialists: an untapped potential for triage? Diagnostics. 2022;12:2821. https://doi.org/10.3390/diagnostics12112821
  • 45. Zhang Y, Ali K, George JA, Reichenberg JS, Fox MC, Adamson AS, et al. Toward automated assessment of mole similarity on dermoscopic images. J Med Imaging. 2021;8:014506. https://doi.org/10.1117/1.JMI.8.1.014506
  • 46. Gaudy-Marqueste C, Wazaefi Y, Bruneu Y, Triller R, Thomas L, Pellacani G, et al. Ugly duckling sign as a major factor of efficiency in melanoma detection. JAMA Dermatol. 2017;153:279–284. https://doi.org/10.1001/ jamadermatol.2016.5500
  • 47. Jensen JD, Elewski BE. The ABCDEF Rule: combining the “ABCDE Rule” and the “Ugly Duckling Sign” in an effort to improve patient self-screening examinations. J Clin Aesthetic Dermatol. 2015;8:15.
  • 48. Ersser S, Effah A, Dyson J, Kellar I, Thomas S, McNichol E, et al. Effectiveness of interventions to support the early detection of skin cancer through skin self-examination: a systematic review and meta-analysis. Br. J. Dermatol. 2019;180:1339–1347. https://doi.org/10.1111/bjd.17529
  • 49. Czajkowska Z, Hall N, Sewitch M, Wang B, Körner A. The role of patient education and physician support in self-efficacy for skin self-examination among patients with melanoma. Patient Educ Couns. 2017;100:1505–1510. https://doi.org/10.1016/j.pec.2017.02.020
  • 50. Duarte AF, Sousa-Pinto B, Azevedo LF, Barros AM, Puig S, Malvehy J, et al. Clinical ABCDE rule for early melanoma detection. Eur J Dermatol. 2021;31:771–778. https://doi.org/10.1684/ejd.2021.4171
  • 51. Coroiu A, Moran C, Bergeron C, Drapeau M, Wang B, Kezouh A, et al. Short and long-term barriers and facilitators of skin self-examination among individuals diagnosed with melanoma. BMC Cancer. 2020;20:123. https://doi.org/10.1186/s12885-019-6476-5
  • 52. De Giorgi V, Papi F, Giorgi L, Savarese I, Verdelli A, Scarfì F, et al. Skin selfexamination and the ABCDE rule in the early diagnosis of melanoma: Is the game over? Br J Dermatol. 2013;168:1370–1371. https://doi.org/10.1111/ bjd.12250
  • 53. Kulkarni R, Wesley Y, Leachman S. To Improve Melanoma Outcomes Focus on Risk Stratification Not Overdiagnosis. JAMA Dermatol. 2022;158:485–487. https://doi.org/10.1001/jamadermatol.2022.0097
  • 54. Robinson JK, Wahood S, Ly S, Kirk J, Yoon J, Sterritt J, et al. Melanoma detection by skin self-examination targeting at-risk women: a randomized controlled trial with telemedicine support for concerning moles. Prev Med Rep. 2021;24:101532. https://doi.org/10.1016/j.pmedr.2021.101532
  • 55. Sarikaya Solak S, Yondem H, Cicin I. Evaluating sun protection behaviors and skin self-examination practices among the family members of melanoma patients in Turkey: a cross-sectional survey study. Dermatol Ther. 2020;33:e14268. https://doi.org/10.1111/dth.14268
  • 56. Koh U, Horsham C, Soyer HP, Loescher LJ, Gillespie N, Vagenas D, et al. Consumer acceptance and expectations of a mobile health application to photograph skin lesions for early detection of melanoma. Dermatology. 2019;235:4–10. https://doi.org/10.1159/000493728
  • 57. Manne SL, Marchetti MA, Kashy DA, Heckman CJ, Ritterband LM, Thorndike FP, et al. mySmartCheck a digital intervention to promote skin self-examination among individuals diagnosed with or at risk for melanoma: a randomized clinical trial. Ann Behav Med. 2022;56:791–803. https://doi.org/10.1093/abm/kaab090
  • 58. Hubbard G, Kyle RG, Neal RD, Marmara V, Wang Z, Dombrowski SU. Promoting sunscreen use and skin self-examination to improve early detection and prevent skin cancer: quasi-experimental trial of an adolescent psychoeducational intervention. BMC Public Health. 2018;18:666. https://doi.org/10.1186/s12889-018-5570-y
  • 59. Carcioppolo N, Kim S, Sanchez M, Mao B, Malova E, Ryan A, et al. Evaluating a game-based randomized experiment to increase melanoma identification among adults living in the US. Soc Sci Med. 2022;310:115281. https://doi.org/10.1016/j.socscimed.2022.115281
  • 60. Swann R, McPhail S, Witt J, Shand B, Abel G, Hiom S, et al; The National Cancer Diagnosis Audit Steering Group. Diagnosing cancer in primary care: results from the national cancer diagnosis audit. Br J Gen Pract. 2018;68:e63–e72. https://doi.org/10.3399/bjgp17X694169
  • 61. Katz B, Rabinovitz H. Introduction to dermoscopy. Dermatol Clin. 2001;19:221–258. https://doi.org/10.1016/S0733-8635(05)70263-1
  • 62. Jones OT, Jurascheck LC, van Melle M, Hickman S, Burrows NP, Hall P. et al. Dermoscopy for melanoma detection and triage in primary care: a systematic review. BMJ Open. 2019;9:e027529. https://doi.org/10.1136/ bmjopen-2018-027529
  • 63. Dinnes J, Deeks JJ, Chuchu N, di Ruffano LF, Matin RN, Thomson DR, et al. Dermoscopy with and without visual inspection for diagnosing melanoma in adults. Cochrane Database Syst Rev. 2018;12: CD011902. https://doi.org/10.1002/14651858.CD011902.pub2
  • 64. Vestergaard M, Macaskill P, Holt P, Menzies S. Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting. Br. J. Dermatol. 2008;159:669–676. https://doi.org/10.1111/j.1365-2133.2008.08713.x
  • 65. Koelink C, Vermeulen K, Kollen B, de Bock G, Dekker J, Jonkman M, et al. Diagnostic accuracy and cost-effectiveness of dermoscopy in primary care: a cluster randomized clinical trial. J Eur Acad Dermatol Venereol. 2014;28:1442–1449. https://doi.org/10.1111/jdv.12306
  • 66. Jones O, Jurascheck L, Utukuri M, Pannebakker M, Emery J, Walter F. Dermoscopy use in UK Primary care: a survey of GP’s with a special interest in dermatology. J Eur Acad Dermatol Venerol. 2019;33:1706–1712. https://doi.org/10.1111/jdv.15614
  • 67. Tromme I, Devleesschauwer B, Beutels P, Richez P, Praet N, Sacré L, et al. Selective use of sequential digital dermoscopy imaging allows a cost reduction in the melanoma detection process: a Belgian study of patients with a single or a small number of atypical nevi. PLoS One. 2014;9:e109339. https://doi. org/10.1371/journal.pone.0109339
  • 68. Menzies S, Emery J, Staples M, Davies S, McAvoy B, Fletcher J, et al. Impact of dermoscopy and short-term sequential digital dermoscopy imaging for the management of pigmented lesions in primary care: a sequential intervention trial. Br J Dermatol. 2009;161:1270–1277. https://doi.org/10.1111/j.1365-2133.2009.09374.x
  • 69. Emery JD, Hunter J, Hall PN, Watson AJ, Moncrieff M, Walter FM. Accuracy of SIAscopy for pigmented skin lesions encountered in primary care: development and validation of a new diagnostic algorithm. BMC Dermatol. 2010;10:9. https://doi.org/10.1186/1471-5945-10-9
  • 70. Sgouros D, Lallas A, Julian Y, Rigopoulos D, Zalaudek I, Longo C, et al. Assessment of SIAscopy in the triage of suspicious skin tumours. Ski Res Technol. 2014;20:440–444. https://doi.org/10.1111/srt.12138
  • 71. Giavina-Bianchi M, Santos AP, Cordioli E. Teledermatology reduces dermatology referrals and improves access to specialists. EClinicalMedicine. 2020;29:100641. https://doi.org/10.1016/j.eclinm.2020.100641
  • 72. Marwaha SS, Fevrier H, Alexeeff S, Crowley E, Haiman M, Pham N, et al. Comparative effectiveness study of face-to-face and teledermatology workflows for diagnosing skin cancer. J Am Acad. Dermatol. 2019;81:1099– 1106. https://doi.org/10.1016/j.jaad.2019.01.067
  • 73. Mohan G, Molina G, Stavert R. Store and forward teledermatology improves dermatology knowledge among referring primary care providers: a surveybased cohort study. J Am Acad Dermatol. 2018;79:960–961. https://doi.org/10.1016/j.jaad.2018.05.006
  • 74. Romero G, De Argila D, Ferrandiz L, Sánchez M, Vañó S, Taberner R, et al. Practice models in teledermatology in Spain: longitudinal study 2009–2014.[Modelos de práctica de la teledermatología en España. Estudio longitudinal2009-2014]. Actas Dermo-Sifiliográficas. 2018;109:624–630. https://doi. org/10.1016/j.ad.2018.03.015
  • 75. CCHP. Telehealth policy trend maps. Available online: https://www.cchpca.org/policy-trends
  • 76. Glazer AM, Winkelmann RR, Farberg AS, Rigel DS. Analysis of trends in US melanoma incidence and mortality. JAMA Dermatol. 2017;153:225–226. https://doi.org/10.1001/jamadermatol.2016.4512
  • 77. Matsumoto M, Wack S, Weinstock MA, Geller A, Wang H, Solano FX, et al. Five-year outcomes of a melanoma screening initiative in a large health care system. JAMA Dermatol. 2022:158;504–512. https://doi.org/10.1001/jamadermatol.2022.0253
  • 78. Welch H, Mazer B, Adamson A. The rapid rise in cutaneous melanoma diagnoses. N Engl J Med. 2021;384:72–79. https://doi.org/10.1056/NEJMsb2019760
  • 79. Herbert A, Koo MM, Barclay ME, Greenberg DC, Abel GA, Levell NJ, et al. Stage-specific incidence trends of melanoma in an English region 1996-2015: Longitudinal analyses of population-based data. Melanoma Res. 2020;30:279–285. https://doi.org/10.1097/CMR.0000000000000489
  • 80. Watts CG, McLoughlin K, Goumas C, van Kemenade CH, Aitken JF, Soyer HP, et al. Association between melanoma detected during routine skin checks and mortality. JAMA Dermatol. 2021;157:1425–1436. https://doi.org/10.1001/jamadermatol.2021.3884
  • 81. 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 suspicious pigmented lesions in primary care: randomised controlled trial. Br Med J. 2012;345:e4110. https://doi.org/10.1136/bmj.e4110
  • 82. Murchie P, Adam R, Khor WL, Raja EA, Iversen L, Brewster D, et al. Impact of rurality on processes and outcomes in melanoma care: results from a whole-Scotland melanoma cohort in primary and secondary care. Br J Gen Pract. 2018;68:e566–e575. https://doi.org/10.3399/bjgp18X697901
  • 83. Privalle A, Havighurst T, Kim K, Bennett DD, Xu YG. Number of skin biopsies needed per malignancy: comparing the use of skin biopsies among dermatologists and nondermatologist clinicians. J Am Acad Dermatol. 2020;82:110–116. https://doi.org/10.1016/j.jaad.2019.08.012
  • 84. Haenssle HA, Fink C, Schneiderbauer R, Toberer F, Buhl T, Blum A, et al. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Ann Oncol. 2018;29:1836–1842.
  • 85. Phillips M, Marsden H, Jaffe W, Matin RN, Wali GN, Greenhalgh J, et al. Assessment of accuracy of an artificial intelligence algorithm to detect melanoma in images of skin lesions. JAMA Netw Open. 2019;2:e1913436. https://doi.org/10.1001/jamanetworkopen.2019.13436
  • 86. Brinker TJ, Hekler A, Enk AH, Berking C, Haferkamp S, Hauschild A, et al. Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019;119:11–17. https://doi.org/10.1016/j. ejca.2019.05.023
  • 87. Dick V, Sinz C, Mittlböck M, Kittler H, Tschandl P. Accuracy of computer-aided diagnosis of melanoma: a meta-analysis. JAMA Dermatol. 2019;155:1291–1299. https://doi.org/10.1001/jamadermatol.2019.1375
  • 88. Phillips M, Greenhalgh J, Marsden H, Palamaras I. Detection of malignant melanoma using artificial intelligence: an observational study of diagnostic accuracy. Dermatol Pract Concept. 2020;10:e2020011. https://doi.org/10.5826/dpc.1001a11
  • 89. Dascalu A, David EO. Skin cancer detection by deep learning and sound analysis algorithms: a prospective clinical study of an elementary dermoscope. Discov Sci. 2019;43:107–113. https://doi.org/10.1016/j.ebiom.2019.04.055
  • 90. Giavina-Bianchi M, de Sousa RM, de Almedia Paciello VZ, Vitor WG, Okita AL, Prôa R, et al. Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting. PLoS One. 2021;16:e0257006. https://doi.org/10.1371/journal.pone.0257006
  • 91. Jain A, Way D, Gupta V, Gao Y, Marinho GDO, Hartford J, et al. Development and assessment of an artificial intelligence-based tool for skin condition diagnosis by primary care physicians and nurse practitioners in teledermatology practices. JAMA Netw Open. 2021;4:e217249. https://doi.org/10.1001/jamanetworkopen.2021.7249
  • 92. Dildar M, Akram S, Irfan M, Khan HU, Ramzan M, Mahmood AR, et al. Skin cancer detection: a review using deep learning techniques. Int J Environ Res Public Health. 2021;18:5479. https://doi.org/10.3390/ijerph18105479
  • 93. Kassianos A, Emery J, Murchie P, Walter F. Smartphone applications for melanoma detection by community patient and generalist clinician users: a review. Br J Dermatol. 2015;172:1507–1518. https://doi.org/10.1111/bjd.13665
  • 94. Kong FW, Horsham C, Ngoo A, Soyer HP, Janda M. Review of smartphone mobile applications for skin cancer detection: what are the changes in availability functionality and costs to users over time? Int J Dermatol. 2020;60:289–308. https://doi.org/10.1111/ijd.15132
  • 95. OHSU. War on melanoma. Available online: https://www.ohsu.edu/war-onmelanoma/sklipr-home-dermoscopy
  • 96. Kaushal A, Altman R, Langlotz C. Geographic distribution of US cohorts used to train deep learning algorithms. JAMA. 2020;324:1212–1213. https://doi.org/10.1001/jama.2020.12067
  • 97. Parikh RB, Teeple S, Navathe AS. Addressing bias in artificial intelligence in health care. JAMA. 2019;322:2377–2378. https://doi.org/10.1001/jama.2019.18058
Toplam 97 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Dermatoloji
Bölüm Derleme
Yazarlar

Şule Gençoğlu 0000-0001-9057-6625

Yayımlanma Tarihi 31 Mayıs 2024
Gönderilme Tarihi 12 Eylül 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 5 Sayı: 1

Kaynak Göster

AMA Gençoğlu Ş. MELANOMUN ERKEN TEŞHİSİNDEKİ GÜNCEL İLERLEMELER VE EV TABANLI TANISAL YAKLAŞIMLARIN GELECEĞİ. YIU Saglik Bil Derg. Mayıs 2024;5(1):24-30.