Long-term quality of life assessment after excisional treatment for cervical dysplasia

Revisiting Querleu-Morrow Radical Hysterectomy: How to Apply the Anatomy of Parametrium and Pelvic Autonomic Nerves to Cervical Cancer Surgery?

In 2008, Querleu and Morrow proposed a novel classification of radical hysterectomy, which was quickly accepted by the professional oncogynecological community. The Querleu and Morrow (Q-M) classification of radical hysterectomy has provided a unique opportunity for uniform surgical and anatomical terminology. The classification offers detailed explanations of anatomical landmarks and resection margins for the three parametria of the uterus. However, there are still some disagreements and misconceptions regarding the terminology and anatomical landmarks of the Q-M classification. This article aims to highlight the surgical anatomy of all radical hysterectomy types within the Q-M classification. It discusses and illustrates the importance of anatomical landmarks for defining resection margins of the Q-M classification and reviews the differences between Q-M and other radical hysterectomy classifications. Additionally, we propose an update of the Q-M classification, which includes the implementation of parauterine lymphovascular tissue, paracervical lymph node dissection, and Selective-Systematic Nerve-Sparing type C2 radical hysterectomy. Type D was modified according to current guidelines for the management of patients with cervical cancer. The detailed explanation of the surgical anatomy of radical hysterectomy and the proposed update may help achieve surgical harmonization and precise standardization among oncogynecologists, which can further facilitate accurate and comparable results of multi-institutional surgical clinical trials.

Predictive models for personalized precision medical intervention in spontaneous regression stages of cervical precancerous lesions

BACKGROUND

During the prolonged period from Human Papillomavirus (HPV) infection to cervical cancer development, Low-Grade Squamous Intraepithelial Lesion (LSIL) stage provides a critical opportunity for cervical cancer prevention, giving the high potential for reversal in this stage. However, there is few research and a lack of clear guidelines on appropriate intervention strategies at this stage, underscoring the need for real-time prognostic predictions and personalized treatments to promote lesion reversal.

METHODS

We have established a prospective cohort. Since 2018, we have been collecting clinical data and pathological images of HPV-infected patients, followed by tracking the progression of their cervical lesions. In constructing our predictive models, we applied logistic regression and six machine learning models, evaluating each model's predictive performance using metrics such as the Area Under the Curve (AUC). We also employed the SHAP method for interpretative analysis of the prediction results. Additionally, the model identifies key factors influencing the progression of the lesions.

RESULTS

Model comparisons highlighted the superior performance of Random Forests (RF) and Support Vector Machines (SVM), both in clinical parameter and pathological image-based predictions. Notably, the RF model, which integrates pathological images and clinical multi-parameters, achieved the highest AUC of 0.866. Another significant finding was the substantial impact of sleep quality on the spontaneous clearance of HPV and regression of LSIL.

CONCLUSIONS

In contrast to current cervical cancer prediction models, our model's prognostic capabilities extend to the spontaneous regression stage of cervical cancer. This model aids clinicians in real-time monitoring of lesions and in developing personalized treatment or follow-up plans by assessing individual risk factors, thus fostering lesion spontaneous reversal and aiding in cervical cancer prevention and reduction.

Sexual health and quality-of-life concerns of cervical dysplasia treatments: Review

Thorough investigations have defined underlying disease mechanisms, determining effective cervical dysplasia (CD) treatments. Previous work has assessed the effects of different treatments on women’s sexual health. Recently however, several published studies have expanded the scope of findings, revealing the need for an updated examination and integration of knowledge to appropriately contextualize this clinical approach within sexual medicine and women’s healthcare. A review of relevant literature was completed. The findings indicate that treatments for CD may be correlated with sexual issues such as decreased interest and sexual functioning, and decreased QoL including psychosocial elements like anxiety. Methodological variations used to investigate different CD treatment outcomes were observed and should be streamlined to facilitate comparison in future studies. There is a need for additional research into alternative non-surgical CD treatments which could mitigate unintended outcomes, and consideration should be given to accessibility of these treatments across different regions in Canada.

The effect of cold-knife conization on pregnancy outcomes in patients with cervical lesions

OBJECTIVE

To analyze the pregnancy outcomes of patients with cervical lesions treated by cold-knife conization (CKC).

METHODS

Clinical data of healthy pregnant women and pregnant women who underwent CKC in Dalian Women and Children's Medical Group from March 2010 to December 2019 were retrospectively analyzed. These patients were divided into a CKC group and a control group according to inclusion and exclusion criteria. Statistical methods were used to compare pregnancy and delivery outcomes between the two groups.

RESULTS

There were 400 patients in CKC group and control group, with 200 patients in each. There was no significant difference in the mode of delivery, abortion, ectopic pregnancy, in-hospital perinatal management, and cervical cerclage between the CKC group and the control group (P>0.05). The rates of preterm delivery, premature rupture of membranes, cesarean section, and neonatal admission in the CKC group were higher than those in the control group (P<0.05). In the CKC group, the incidence of premature rupture of membranes within six months postoperatively was higher than that after six months (P<0.05). The incidences of preterm delivery and premature rupture of membranes were not completely consistent in different conization ranges (P<0.05).

CONCLUSION

CKC increases the incidence of preterm delivery, premature rupture of membranes, and neonatal adverse outcomes. Conization height can predict the occurrence of preterm delivery. Delaying pregnancy after surgery can reduce the incidence of adverse outcomes during the perinatal period.