Development of a cervical cancer progress prediction tool for human papillomavirus-positive Koreans: A support vector machine-based approach

Abstract

Objectives: To develop a Web-based tool to draw attention to patients positive for human papillomavirus (HPV) who have a high risk of progression to cervical cancer, in order to increase compliance with follow-up examinations and facilitate good doctor-patient communication. Methods: Records were retrospectively analysed from women who were positive for HPV on initial testing (before any treatment). Information concerning age, Papanicolaou (PAP) smear result and presence of 15 high-risk HPV genotypes was used in a support vector machine (SVM) model, to identify the patient features that maximally contributed to progression to high-risk cervical lesions. Results: Data from 731 subjects were analysed. The maximum number of correct cancer predictions was seen when four features (PAP, HPV16, HPV52 and HPV35) were used, giving an accuracy of 74.41%. A web-based high-risk cervical lesion prediction application tool was developed using the SVM model results. Conclusions: Use of the web-based prediction tool may help to increase patient compliance with physician advice, and may heighten awareness of the significance of regular follow-up HPV examinations for the prevention of cervical cancer, in Korean women predicted to have heightened risk of the disease.

Human papilloma virus genotyping for the cross‐sectional and longitudinal probability of developing cervical intraepithelial neoplasia grade 2 or more

“…Conversely, the importance of HPV35 based on PPV was more unexpected even though a previous analysis within the future study28 reported a high probability of transition from HPV35 incident infection to CIN2 and CIN3 lesions after 3 years of follow‐up. In other studies, the association between HPV35 and high‐grade CIN varied remarkably between different geographical areas 8, 29. In a recent analysis on viral load and CIN risk,30 HPV35 was one of the four non HPV16/18 types (with HPV31, 52 and 58) whose viral load at baseline was significantly associated with a subsequent increase in CIN2/3 risk.…”

“…In other studies, the association between HPV35 and high-grade CIN varied remarkably between different geographical areas. 8,29 In a recent analysis on viral load and CIN risk, 30 HPV35 was one of the four non HPV16/18 types (with HPV31, 52 and 58) whose viral load at baseline was significantly associated with a subsequent increase in CIN2/3 risk.…”

Human papillomavirus type specific risk of progression and remission during long‐term follow‐up of equivocal and low‐grade HPV‐positive cervical smears

“…Also, in a recent study by Kahng et al . HPV 35 was relatively common in The Republic of Korea and with a relatively high risk of progression . These observations might also have some implications with respect to ongoing vaccine programs and the HPV type coverage within these programs.…”

“…HPV 35 belongs to the a9 subgroup of carcinogenic HPV types, along with HPV 16 and HPV types such as 31, 33, 52, 58 and 67. 42 In the study by Kjaer and coworkers 27 43 These observations might also have some implications with respect to ongoing vaccine programs and the HPV type coverage within these programs. HPV type 35 Table 3.…”

Clinical progress of human papillomavirus genotypes and their persistent infection in subjects with atypical squamous cells of undetermined significance cytology: Statistical and latent Dirichlet allocation analysis

“…However, in a number of countries, regular visits to an obstetrician or gynecologist are not feasible due to cultural or economic barriers. This is the case throughout Korea, apart from metropolitan areas and in patients who were diagnosed with cervical cancer or metastatic cancer at their first visit (12).…”