Comparative performance of the human papillomavirus test and cytology for primary screening for high-grade cervical intraepithelial neoplasia at the population level

The residual rate of HPV and the recurrence rate of CIN after LEEP with negative margins: A meta-analysis

BACKGROUND

HPV is detected in up to 47% of CIN and up to 70% of cervical cancers. It can cause intraepithelial neoplasia, which can eventually progress to invasive carcinoma. Almost all cervical cancers are caused by HPV. Therefore, it is especially important to treat high-risk HPV. For patients who have undergone LEEP surgery, this procedure can effectively treat CIN. However, it has not been studied in a meta-analysis whether HPV remains after the surgery and whether residual HPV increases the recurrence risk of CIN. To address this gap, our study collected all relevant literature to investigate the residual rate of HPV and its potential influence on the recurrence rate of CIN. We aim to provide valuable recommendations for clinicians and patients.

METHODS

The Cochrane Library, EMBASE, and PubMed databases were searched from the establishment of the database until October 2023. Stata 12.0 software was used for the statistical analysis.

RESULTS

Twelve studies were included, with a total sample size of 1192 cases. The meta-analysis found that the recurrence rate of CIN was quite low [95% CI = 0.5% (0.001, 0.012); P = 0.006] when the margins were negative after LEEP and there was no residual HPV. When HPV was present, the recurrence rate of CIN was significantly higher [95% CI = 18% (0.089, 0.291), P = 0.000], even if the margins were negative. The recurrence rate of CIN with residual HPV was 3.6 times higher than the recurrence rate of CIN without residual HPV. The residual rate of HPV after LEEP with negative margins was 22.7% [95% CI (0.167, 0.294), P = 0.000], which remained relatively high.

CONCLUSION

This meta-analysis found that the recurrence rate of CIN without residual HPV and with negative margins after LEEP was quite low, at 0.5%. However, when HPV was residual, the recurrence rate of CIN significantly increased to 18%, even if the margins were negative. The residual rate of HPV was 22.7%, even when the margins were negative after LEEP.

Cervical cell classification with deep-learning algorithms

Cervical cancer is a serious threat to the lives and health of women. The accurate analysis of cervical cell smear images is an important diagnostic basis for cancer identification. However, pathological data are often complex and difficult to analyze accurately because pathology images contain a wide variety of cells. To improve the recognition accuracy of cervical cell smear images, we propose a novel deep-learning model based on the improved Faster R-CNN, shallow feature enhancement networks, and generative adversarial networks. First, we used a global average pooling layer to enhance the robustness of the data feature transformation. Second, we designed a shallow feature enhancement network to improve the localization and recognition of weak cells. Finally, we established a data augmentation network to improve the detection capability of the model. The experimental results demonstrate that our proposed methods are superior to CenterNet, YOLOv5, and Faster R-CNN algorithms in some aspects, such as shorter time consumption, higher recognition precision, and stronger adaptive ability. Its maximum accuracy is 99.81%, and the overall mean average precision is 89.4% for the SIPaKMeD and Herlev datasets. Our method provides a useful reference for cervical cell smear image analysis. The missed diagnosis rate and false diagnosis rate are relatively high for cervical cell smear images of different pathologies and stages. Therefore, our algorithms need to be further improved to achieve a better balance. We will use a hyperspectral microscope to obtain more spectral data of cervical cells and input them into deep-learning models for data processing and classification research. First, we sent training samples of cervical cells into our proposed deep-learning model. Then, we used the proposed model to train eight types of cervical cells. Finally, we utilized the trained classifier to test the untrained samples and obtained the classification results. Fig 1. Deep-learning cervical cell classification framework.

Human Papillomavirus: Challenges and Opportunities for the Control of Cervical Cancer

Viruses are the most abundant and genetically diverse entities on the planet, infect all life forms and have evolved with their hosts. To date, 263 viral species have been identified that infect humans, of which only seven are considered type I oncogenic. Human papillomavirus (HPV) is the main virus associated with cancer and is responsible for practically all cases of cervical carcinoma. Screening tests for early detection have been available since the 1960s. Undoubtedly, the entailment between knowledge of HPV biology and the natural history of cervical cancer has contributed to the significant advances that have been made for its prevention since the 21^st century, with the development of prophylactic vaccines and improved screening strategies. Therefore, it is possible to eradicate invasive cervical cancer as a worldwide public health problem, as proposed by the WHO with the 90-70-90 initiative based on vaccination coverage, screening, and treatment, respectively. In addition, the emerging knowledge of viral biology generates opportunities that will contribute to strengthening prevention and treatment strategies in HPV-associated neoplasms.

Effect of Condom Use after CIN Treatment on Cervical HPV Biomarkers Positivity: Prolonged Follow Up Study

Background: Several factors contribute in the cervical healing process following local surgical treatment; in a previous work our group has documented a beneficial mid-term role of regular condom use immediately postoperatively in terms of CIN relapse prevention and expression of active viral biomarkers. Materials and Methods: Aiming to investigate whether the favorable contribution of consistent condom use could be extrapolated in the longer term, we conducted a prospective single center observational study including women scheduled to undergo conservative excisional treatment for CIN (LLETZ procedure). In all women a strong recommendation for consistent use for the first 6 months was given. For 204 women who underwent the procedure and completed successfully the two-year follow up a complete dataset of HPV biomarkers’ results obtained six months and two years postoperatively was available. Patients were asked to complete a questionnaire to assess condom use compliance. A 90% compliance rate represented the threshold for consistent use. An LBC sample was obtained and tested for HPV genotyping, E6 & E7 mRNA by NASBA technique as well as flow cytometry, and p16 at 0 (pre-treatment), 6 and 24 months. HPV DNA and other related biomarkers status at 6 and 24 months, treatment failures at 24 months and condom use compliance rates represented study outcomes. Results: Six months post-operatively we documented a reduction in the rates of HPV DNA positivity, which was detected in only 23.2% of compliant condom users in comparison to 61.9% in the non-compliant group (p < 0.001, OR: 0.19, 95%CI: 0.1−0.36). For the HPV mRNA test, either assessed with the NASBA method or with flow cytometry, reduced positivity percentages were observed in the compliant group, in particular 1.6% vs. 8% for NASBA and 7.1% vs. 16.4% using flow cytometry, although these differences were not statistically significant (p = 0.1039 and 0.0791, respectively). Finally, reduced p16 positivity rates were documented in the compliant group. At the two year follow up, a more pronounced difference in HPV DNA positivity rates was observed, specifically only 13% positivity among the compliant women compared with 71% of the non-compliant (p < 0.0001); this illustrates a further decreasing trend compared with the 6th month in the compliant group as opposed to an increasing tendency in the non-compliant group, respectively (difference: 9.0%, 95% CI: 0% to 20.6%, p = 0.1523). At that time, 80% of the failed treatments were HPV mRNA positive compared to 10% positivity for the cases treated successfully (OR: 34, 95%CI: 6.8−173, p < 0.0001), a finding indicative that HPV mRNA E6 & E7 positivity accurately predicts treatment failure; p16 positivity was also observed at higher rates in cases with treatment failure. Conclusions: Consistent condom use following conservative excisional CIN treatment appears to significantly reduce rates of CIN recurrence and biomarkers of HPV expression. Additional HPV vaccination at the time of treatment could further enhance the positive effect of consistent condom use.