Medical and organizational approaches to early diagnosis of skin melanoma

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Abstract

Introduction. The most significant problem is the early diagnosis of skin melanoma (SM). In many countries of the world, there is a constant increase in the incidence rate, and the organization of population screening can help solve this problem.

Purpose of the study. Evaluation of the use of multi-agent technology in the diagnosis of SM.

Material and methods. Study design: at the 1st stage, primary medical documentation was studied — Charts No. 090/y; 027-2/y, statistical reports of the Samara Regional Clinical Oncological Dispensary — Charts No. 7, No. 35, according to the results revealed at stage 2. There was developed and implemented multi-agent technology for SM diagnostics, including various agents of both qualified and specialized levels, these were both individuals and teams of departments who worked in close contact: a public relations agent; artificial intelligence secondary prevention planning agent; agent for training doctors and nurses, patients in the basics of early diagnosis and assessing their level of training; an agent for evaluating performance indicators.

Results. After introducing the multi-agent system, the indicator of the share of 1–2 stages of MC in 2010–2019. increased by 48.3% compared to the period 2000–2009 and outpaced the growth in the total number of patients with SM by 6.96%; from 2010 to 2019 the proportion of patients with SM who were actively identified began to increase; one-year mortality rate from 2010 to 2019 decreased in waves (y = 0.0003x5 – 0.0104x4 – 0.2647x3 + 1.4818x2 – 1.8942x + 10.585; R2 = 0.554).

Conclusion. The use of multi-agent technology makes it possible to reduce the one-year mortality rate, to achieve a faster growth rate of the newly detected number of patients with an early stage of SM (stage 1–2) compared to the increase in the number of cases, to improve the indicators of early diagnosis, active detection of skin melanoma, which is a positive result

About the authors

Evgeniy Yu. Neretin

Regional Clinical Oncology Dispensary; Medical University “Reaviz”

Author for correspondence.
Email: evg.neretin2002@mail.ru
ORCID iD: 0000-0002-2316-7482

Candidate of Medical Sciences, Doctor of oncology of the highest category Samara Regional Clinical Oncology Dispensary, Associate Professor of the Department of Surgery Private Educational Institution of Higher Education “Medical University “Revis”, Samara, 443029, Russian Federation.

e-mail: evg.neretin2002@mail.ru

Russian Federation

Sergey V. Kozlov

Regional Clinical Oncology Dispensary; Samara State Medical University

Email: noemail@neicon.ru
ORCID iD: 0000-0002-0741-0446
Russian Federation

Tatyana G. Zolotareva

Regional Clinical Oncology Dispensary; Samara State Medical University

Email: noemail@neicon.ru
ORCID iD: 0000-0003-4274-5732
Russian Federation

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Copyright (c) 2021 Neretin E.Y., Kozlov S.V., Zolotareva T.G.

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