Prevention Strategies and Early Diagnosis of Cervical Cancer: Current State and Prospects

被引:16
|
作者
Kakotkin, Viktor V. [1 ]
Semina, Ekaterina V. [1 ]
Zadorkina, Tatiana G. [2 ]
Agapov, Mikhail A. [1 ]
机构
[1] Immanuel Kant Balt Fed Univ, Sci & Educ Cluster MEDBIO, A Nevskogo St 14, Kaliningrad 236041, Russia
[2] Kaliningrad Reg Ctr Specialised Med Care, Barnaulskaia St 6, Kaliningrad 236006, Russia
关键词
cervical cancer; prevention strategies; diagnostics; precision medicine; artificial intelligence; microbiome; HUMAN-PAPILLOMAVIRUS; COST-EFFECTIVENESS; AS04-ADJUVANTED VACCINE; SELF-COLLECTION; HPV INFECTION; WOMEN OLDER; RISK; CHINA; IMMUNOGENICITY; INTERVENTIONS;
D O I
10.3390/diagnostics13040610
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Cervical cancer ranks third among all new cancer cases and causes of cancer deaths in females. The paper provides an overview of cervical cancer prevention strategies employed in different regions, with incidence and mortality rates ranging from high to low. It assesses the effectiveness of approaches proposed by national healthcare systems by analysing data published in the National Library of Medicine (Pubmed) since 2018 featuring the following keywords: "cervical cancer prevention", "cervical cancer screening", "barriers to cervical cancer prevention", "premalignant cervical lesions" and "current strategies". WHO's 90-70-90 global strategy for cervical cancer prevention and early screening has proven effective in different countries in both mathematical models and clinical practice. The data analysis carried out within this study identified promising approaches to cervical cancer screening and prevention, which can further enhance the effectiveness of the existing WHO strategy and national healthcare systems. One such approach is the application of AI technologies for detecting precancerous cervical lesions and choosing treatment strategies. As such studies show, the use of AI can not only increase detection accuracy but also ease the burden on primary care.
引用
收藏
页数:15
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