RESUMEN
Background: This study aimed to examine whether genotype categories of high-risk human papillomaviruses (HR-HPVs), when divided into HPV16/18, HPV 31/33/45/52/58, and HPV35/39/51/56/59/68, had an effect on the time required for and the proportion of cases that progressed to cervical intraepithelial neoplasia (CIN) grade 3 among women with CIN2. Patients: A total of 160 women aged 20-49 years and having CIN2 were recruited between January 2008 and June 2018. The time required for progression to CIN3 was determined by Kaplan-Meier time-to-event analysis. HPV genotypes were determined using the Linear Array HPV genotyping test. Results: During an average follow-up time of 22 months, 62 (39%) women with CIN2 progressed to CIN3, whereas 34 (21%) eliminated HR-HPVs and became cytologically normal. The majority (63%) of the women harboring HPV16/18 progressed to CIN3 with a 50% progression time of 11 months, whereas 26% of those harboring HPV31/33/45/52/58 progressed to CIN3 with a 50% progression time of 70 months. Conclusion: For every patient diagnosed with CIN2, genotyping to distinguish HPV16/18 from other HR-HPVs should be performed. Therefore, electing a surgical treatment, such as conization, should be considered as the primary option for women who are positive for HPV16/18, particularly when they are likely to be lost for follow-up or are 40 years old or older. In contrast, follow-up cytology should be repeated every 12 months for women harboring non-16/18 HR-HPVs. Those who tested negative for HR-HPV may be followed at the maximum interval of 24 months.
RESUMEN
An endoscopic image processing technique for enhancing the appearance of microstructures on translucent mucosae is described. This technique employs two pairs of co- and cross-polarization images under two different linearly polarized lights, from which the averaged subtracted polarization image (AVSPI) is calculated. Experiments were then conducted using an acrylic phantom and excised porcine stomach tissue using a manual experimental setup with ring-type lighting, two rotating polarizers, and a color camera; better results were achieved with the proposed method than with conventional color intensity image processing. An objective evaluation method that uses texture analysis was developed and used to evaluate the enhanced microstructure images. This paper introduces two types of online, rigid-type, polarimetric endoscopic implementations using a polarized ring-shaped LED and a polarimetric camera. The first type uses a beam-splitter-type color polarimetric camera, and the second uses a single-chip monochrome polarimetric camera. Microstructures on the mucosa surface were enhanced robustly with these online endoscopes regardless of the difference in the extinction ratio of each device. These results show that polarimetric endoscopy using AVSPI is both effective and practical for hardware implementation.