Clinical Accuracy of Alinity m HR HPV Assay on Self- versus Clinician-Taken Samples Using the VALHUDES Protocol

Evaluation of two alternative non-alcohol-based media for the suspension of self-collected vaginal swabs for HPV testing in cervical cancer screening

The introduction of Human Papillomavirus (HPV) testing in cervical cancer screening enhanced the opportunity to introduce self-collection as an innovative approach to improve coverage rates. Validation and standardization of the pre-analytical and analytical procedures are crucial for the quality assurance of HPV tests on self-collected samples. This study evaluated the analytical performance and the stability of self-collected vaginal samples resuspended in 5 mL of two non-alcohol-based media, eNat® and MSwab® compared to a professionally collected cervical sample, resuspended in 20 mL ThinPrep®, for the detection of high-risk HPV (hrHPV). The impact of the suspension volumes on analytical performance was also evaluated (2 and 5 ml). A good analytical concordance in hrHPV detection in cervical and vaginal self-collected swabs suspended in 5 ml of both non-alcohol-based media was demonstrated (eNat®: 91.2 %, k = 0.821; MSwab®: 91.4 %; k = 0.798). A similar analytical performance was found for samples resuspended in 2 mL (eNat®: 92.9 %, k = 0.811; MSwab®: 92.9 %, k = 0.811) compared to cervical samples. Good nucleic acid stability was demonstrated for vaginal samples stored at 20-25 °C and 37 °C for up to 4 weeks. Results of this preliminary study support the introduction of these media for vaginal self-sampling-based prevention programs. Nevertheless, further research is necessary to evaluate clinical accuracy in larger settings.

Acceptance of Self-Sampling by Women Not Regularly Participating in Cervical Cancer Screening in Areas with Low Medical Density: A Qualitative Study within the French CapU4 Trial

Cervical cancer (CC) was diagnosed in 3159 women in France in 2023, and 1117 died from it. Organized screening for cervical cancer is potentially very effective for participating women. However, reaching under-screened populations remains a major challenge. The present qualitative study explored women's opinions on what discourages or encourages them to participate in CC screening and assessed the acceptability of two experimental strategies (urinary or vaginal self-sampling kits) to increase the screening coverage in three rural French administrative departments with low medical density and/or low screening participation rates. Forty-eight semi-structured interviews and four focus groups were conducted by a team of psychologists. Results showed that the participants accepted at-home self-sampling to reach non-participating women in medically underserved areas. However, they suggested that the type of kit sent should be adapted to the patient's profile (embarrassment from earlier exams, cultural aspects, fear of invasiveness, etc.), and that kits should be simple to use (in understandable language taking sociocultural aspects into account). Women wished to be assured that testing on self-samples is accurate and needed information about further actions in case of a positive result.

High Precision Cervical Precancerous Lesion Classification Method Based on ConvNeXt

Traditional cervical cancer diagnosis mainly relies on human papillomavirus (HPV) concentration testing. Considering that HPV concentrations vary from individual to individual and fluctuate over time, this method requires multiple tests, leading to high costs. Recently, some scholars have focused on the method of cervical cytology for diagnosis. However, cervical cancer cells have complex textural characteristics and small differences between different cell subtypes, which brings great challenges for high-precision screening of cervical cancer. In this paper, we propose a high-precision cervical cancer precancerous lesion screening classification method based on ConvNeXt, utilizing self-supervised data augmentation and ensemble learning strategies to achieve cervical cancer cell feature extraction and inter-class discrimination, respectively. We used the Deep Cervical Cytological Levels (DCCL) dataset, which includes 1167 cervical cytology specimens from participants aged 32 to 67, for algorithm training and validation. We tested our method on the DCCL dataset, and the final classification accuracy was 8.85% higher than that of previous advanced models, which means that our method has significant advantages compared to other advanced methods.

Acceptability to Healthcare Professionals of Home-Based HPV Self-Sampling for Cervical Screening: A French Qualitative Study Conducted in an Area with Low Access to Health Services

Self-sampling may improve participation in cervical cancer secondary prevention programs by women who do not respond or respond irregularly when invited to contact a health professional for the collection of a cervical specimen. It could also help resolve access problems in areas with a low physician density. The present qualitative study examined barriers to screening, effective screening strategies, and the advantages and disadvantages of sending women urine or vaginal self-sampling kits in two medically underserved administrative departments in France (Mayenne and Sarthe) showing low cervical screening coverage. As part of the CapU4 randomized trial, a team of psychologists investigated the attitudes and experiences of 59 healthcare professionals (gynecologists, general practitioners, and midwives) through semi-structured interviews. Results indicated that health professionals believe that self-sampling may address the issues of low physician density and underscreening by removing logistical, organizational, financial, and psychological obstacles. They confirmed trust in the use of vaginal self-sampling, with urine self-sampling as an alternative solution (e.g., for women with vaginismus). The health professionals also identified several limitations of the self-sampling kit that will need to be addressed in future screening campaigns (incomplete kit, complex instructions, poor anatomical knowledge, and obesity).