Circulating cell-free HPV DNA (ccfHPV DNA) may serve as a marker for cervical cancer. In this study, we used digital droplet PCR (ddPCR) to detect and quantify ccfHPV DNA in plasma from patients with HPV16- or HPV18-associated cervical cancer. Blood samples from 60 patients diagnosed with cervical cancer (FIGO IA1-IVA) at Aarhus or Odense University Hospital (June 2018 to March 2020) were collected prior to treatment, and patients were subdivided into an early stage (n = 30) and a late-stage subgroup (n = 30) according to disease stage. Furthermore, blood samples from eight women with HPV16- or 18-associated premalignant conditions (CIN3), and 15 healthy controls were collected. ddPCR was used to analyze plasma from all participants. ccfHPV DNA was detected in 19 late-stage patients (63.33%), 3 early stage patients (10.00%), and none of the CIN3 patients or controls. Quantitative evaluation showed significant correlations between ccfHPV DNA level and stage, tumor score, and tumor size. Thus, our results indicate that ccfHPV DNA may not be a useful marker for early detection of cervical cancer. However, for patients with advanced stage cervical cancer, ccfHPV DNA level represents a promising tool to establish tumor burden, making it useful for establishing treatment response and monitoring the disease.

Sexual function remains a relatively unexplored field within urology, especially for female patients who have undergone radical cystectomy (RC). The aim of this study was to shed light on this area. The Female Sexual Function Index (FSFI) questionnaire and other selective questions regarding sexual function were sent to 71 women who had undergone RC and were alive 1 year postsurgery. Forty-one completed questionnaires were returned and analysed using simple descriptive statistical analysis, owing to the small sample size. The median age of the patients was 67 years (range 39-91 years). Seventy-eight per cent reported being sexually active before surgery and 37% post-surgery. The median FSFI score postsurgery was 4.8 (range 1.2-32). The highest FSFI score was seen in the category of satisfaction, which consists of questions regarding closeness with partner, sexual relationship and overall sex life. Lowest FSFI scores were seen for lubrication, orgasm and pain. Twenty-seven per cent of patients wanted more information on the impact RC would have on their sex lives and many asked for information for their partners. Despite being based on a limited number of patients, this study indicates a need for improvement within this field. Most patients scored below 26 on the FSFI questionnaire, the cut-off for sexual dysfunction. However, many reported being satisfied overall. Thus, the physician's main goal is to identify patients in need of more information and guidance before and after surgery.

Background: Cervical cancer incidence and mortality rates are high in older women in many developed countries, including Denmark. Therefore, Danish women aged 69 and older were invited for one additional human papilloma virus (HPV) based screening test in 2017. Here, we describe the clinical management and detection rate of cervical intraepithelial neoplasia grade 2 or worse (CIN2 +) in screen-positive women referred for colposcopy. Methods: We conducted an observational study in public gynecology departments in Central Denmark Region, Denmark. Women were eligible for enrolment if they were aged 69 + in 2017, HPV positive on a screening test taken between April 20^th, 2017, and December 31^st, 2017, and had been referred for direct colposcopy. Data on participants’ characteristics, colposcopic findings, and histological outcomes were collected from medical records and the Danish Pathology Databank. We estimated the proportion of women with CIN2 + at the first colposcopy visit and at end of follow up including 95% confidence intervals (CIs). Results: A total of 191 women were included with a median age of 74 years (IQR: 71—78). Most women (74.9%) did not have a fully visible transformation zone at colposcopy. At the first visit 170 women (89.0%) had a histological sample collected, 34 of whom (20.0%, 95% CI 14.3–26.8%) had CIN2 + diagnosed, 19 had CIN3 + , and two had cervical cancer). During follow-up additional CIN2 + were detected resulting in a total of 42 women (24.4%, 95% CI: 18.2–31.5%) being diagnosed with CIN2 + , 25 with CIN3 + , and three with cervical cancer. When restricting to women with paired histologic results (i.e., biopsies and a loop electrosurgical excision procedure (LEEP) specimen), we found that CIN2 + was missed in 17.9% (95% CI 8.9–30.4%) of biopsies compared to the LEEP. Conclusion: Our findings suggest a potential risk of underdiagnosis in older postmenopausal women referred to colposcopy. Future studies should explore potential risk-markers for discrimination of women at increased risk of CIN2 + from those at low risk, as this would reduce risk of underdiagnosis and overtreatment.

Cervical cancer remains a major worldwide health issue, with high morbidity and mortality rates if diagnosed and treated at a later stage. Early identification and risk assessment are crucial for preventive interventions. This paper presents the Cervix-AID-Net model for classifying cervical precancer risk using still images captured from a DYSIS colposcope. The study designs and evaluates the proposed Cervix-AID-Net model to classify high-risk and low-risk cervical precancer classes. The model comprises a Convolutional Block Attention Module (CBAM) and convolutional layers that extract interpretable and representative features from colposcopic images to distinguish high-risk and low-risk cervical precancer. In addition, the proposed Cervix-AID-Net model integrates gradient class activation maps, Local Interpretable Model-agnostic Explanations, CartoonX, and pixel rate distortion techniques to explain model decisions using output feature maps and input features. The evaluation using holdout and ten-fold cross-validation techniques yielded classification accuracies of 99.33% and 99.81%, respectively. The analysis revealed that CartoonX provides meticulous explanations for the decision of the Cervix-AID-Net model due to its ability to provide the relevant piecewise smooth part of the image. The effect of Gaussian noise and blur on the input shows that the performance remains unchanged up to Gaussian noise of 3% and blur of 10%, while the performance decreases thereafter. A comparison study of the proposed model's performance with other deep learning approaches highlights the Cervix-AID-Net model's potential as a supplemental tool for increasing the effectiveness of cervical precancer risk assessment. The proposed method, which incorporates CBAM and explainable artificial intelligence, has the potential to influence the prevention and early detection of cervical cancer. Thus, the proposed framework will help improve patient outcomes and reduce the worldwide burden of this preventable disease.

Background: Colposcopy serves as a subjective examination of the cervix with low sensitivity to detect cervical intraepithelial dysplasia (CIN) grade 2 or worse (CIN2 +). Dynamic spectral imaging (DSI) colposcopy has been developed to provide an objective element to cervix examinations and has been proven to increase sensitivity of detecting CIN2 + . We aimed to assess the performance of the DSI color map and compared it to histological diagnoses of cervical biopsies in determining the CIN grade present. Methods: Women were included in a consecutive, prospective manner at Randers Regional Hospital, Denmark. Women were eligible to participate if they were referred for colposcopy due to abnormal cervical smear (threshold: ≥ ASCUS) or follow-up after previously diagnosed CIN. All women had four biopsies taken, one directed by colposcopists alone prior to viewing the DSI color map, one directed by the worst color on the respective DSI color map, and two additional biopsies. All biopsies were analyzed separately. We calculated sensitivity, specificity, positive predictive values, and negative predictive values (NPVs) with 95% confidence intervals (CIs). Results: A total of 800 women were recruited. Of these, 529 (66.1%) were eligible for inclusion. The sensitivity of the DSI color map was found to be 48.1% (95% CI 41.1–55.1) in finding CIN grade 2 or worse (CIN2 +) when compared to the histological diagnosis of the DSI directed biopsy. This was 42.5% (95% CI 36.7–48.5) when compared to the final histological diagnosis of all four cervical biopsies and with an NPV of 53.5% (95% CI 50.5–56.5). Conclusion: The worst color indicated by the DSI map might not consistently reflect the true grade of cervical dysplasia present. Thus, even though the DSI color map indicates low-grade changes, colposcopists should still consider taking biopsies from the area as high-grade changes might be present. Trial registration: NCT04249856, January 31 2020 (retrospectively registered).