Shuying Li

Human Papillomavirus Genotype Distribution and Viral Load in Relation to Cervical Disease Severity: A Retrospective Study of Outpatient Data in Beijing, China

ABSTRACTPersistent human papillomavirus (HPV) infection drives cervical carcinogenesis, yet regional variations in genotype distribution and viral load dynamics remain understudied in Beijing, China. This study investigated HPV prevalence, genotype‐specific patterns, and viral load correlations with cervical disease severity among women outpatient clinics from Peking University First Hospital in Beijing. In a retrospective study of 25 197 women undergoing cervical ThinPrep cytology (TCT) and HPV testing from October 2023 to October 2024, colposcopy results from 714 cases were also analyzed. HPV genotyping and quantitative for HPV types (16, 18, 33, 52, 58) were performed. Overall HPV positivity was 16.50% (4157/25 197), peaking in women aged 31~40 years (30.05%). Dominant genotypes were HPV 52 (18.89%), 16 (18.55%), and 58 (12.10%). HR‐HPV prevalence and viral load escalated with disease severity (p < 0.001), notably HPV16 and HPV33. HPV11, 43, 45, and 68 were absent in severe lesions. Single infections (76.35%) predominated, but multi‐infections showed genotype synergism (e.g., HPV51 + 42). The study highlights specific HPV epidemiology and genotype dominance in China, indicating gaps in vaccine coverage. Viral load is a key biomarker for risk assessment, suggesting the need for tailored vaccination programs and viral load monitoring in clinical practice.

Depth‐resolved attenuation mapping of the human ovary and fallopian tube using optical coherence tomography

AbstractDue to the lack of reliable early‐diagnostic tools, most ovarian cancers are diagnosed at late stages. Although optical coherence tomography (OCT) has shown promise for identifying diseased ovaries and fallopian tubes at an earlier stage, previous studies either did not provide quantitative scattering mapping or simply used Beer's law to fit the scattering coefficients of each A‐line. In this paper, we calculated the pixel‐wise attenuation coefficients of ovaries and fallopian tubes in OCT images. Data from 73 freshly excised human ovaries and fallopian tubes from 36 patients have shown that statistical features are statistically different between cancerous ovaries, infundibula, and fimbriae and normal ones.