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Background: This study aimed to evaluate the association between the dietary intake of vitamin B complex (thiamine, riboflavin, and niacin) and cervical cancer in Korea. Methods: The data from the Korean National Health and Nutrition Examination Survey (KNHANES) from 2010 to 2021 were analyzed, which included 28,306 participants who were categorized into non-cervical cancer and cervical cancer groups. The following dietary intake threshold levels of thiamine, riboflavin, and niacin were identified based on the recommended daily allowances (RDAs): thiamine, 1.1 mg/day; riboflavin, 1.2 mg/day; and niacin, 14 mg/day. Results: Among 28,306 participants, 27,976 were in the non-cervical cancer group and 330 were in the cervical cancer group. Riboflavin intakes of more than 1.2 mg/day but less than 2.4 mg/day were associated with a significantly reduced risk of cervical cancer, whereas intakes of above 2.4 mg/day were not associated with cervical cancer. Thiamine and niacin intakes were not significantly related to the risk of cervical cancer. Conclusions: The results of this study suggest that an intake of riboflavin of 1.2–2.4 mg/day may contribute to a lower risk of cervical cancer. [ABSTRACT FROM AUTHOR]

This study aimed to report a single surgeon's early experience and learning curves of single-incision robotic sacrocolpopexy on two different robotic surgical platforms, namely, the single-site approach on da Vinci Xi® and single-port approach on da Vinci SP® surgical systems. This retrospective study included 123 consecutive cases of robotic sacrocolpopexy performed between June 2017 and June 2021 for the patients with Pelvic Organ Prolapse Quantification stage 2–4 symptomatic prolapse. First consecutive 57 cases were performed under the da Vinci Xi® system applying the single-site manner, whereas the following 66 cases were done under the da Vinci SP® system. The primary outcome was intraoperative and perioperative complication rates, and the secondary outcome was learning curve of single-incision robotic sacrocolpopexy under the two different robotic surgical platforms. Learning curves based on the operation time were obtained through cumulative sum analysis. The mean age of each group was 65.6 ± 8.7 years for single-site robotic sacrocolpopexy and 63.7 ± 7.6 years for the single-port one (p = 0.202). More than 80% of patients for each group had advanced prolapse stages and underwent concomitant total hysterectomy. The overall baseline characteristics did not differ significantly between groups. The median operation time for each group were 201.0 and 201.5 min, respectively. Both groups showed comparable perioperative outcomes in terms of operation time, intraoperative blood loss, and length of hospital stay. Intraoperative cystostomy rates were 1.8% and 3.0%, respectively, and revealed no statistical difference (p = 0.736). The learning curves were comparable, and the surgeon required less than 15 cases for both single-site and single-port robotic sacrocolpopexies to stabilize operation time. Comparable learning curves and favorable intraoperative and perioperative outcomes of single-incision robotic sacrocolpopexy using two different robotic surgical systems show that both are feasible options for robotic sacrocolpopexy. [ABSTRACT FROM AUTHOR]

Colposcopy is the gold standard diagnostic tool for identifying cervical lesions. However, the accuracy of colposcopies depends on the proficiency of the colposcopist. Machine learning algorithms using an artificial intelligence (AI) system can quickly process large amounts of data and have been successfully applied in several clinical situations. This study evaluated the feasibility of an AI system as an assistive tool for diagnosing high-grade cervical intraepithelial neoplasia lesions compared to the human interpretation of cervical images. This two-centered, crossover, double-blind, randomized controlled trial included 886 randomly selected images. Four colposcopists (two proficient and two inexperienced) independently evaluated cervical images, once with and the other time without the aid of the Cerviray AI® system (AIDOT, Seoul, Republic of Korea). The AI aid demonstrated improved areas under the curve on the localization receiver-operating characteristic curve compared with the colposcopy impressions of colposcopists (difference 0.12, 95% confidence interval, 0.10–0.14, p < 0.001). Sensitivity and specificity also improved when using the AI system (89.18% vs. 71.33%; p < 0.001, 96.68% vs. 92.16%; p < 0.001, respectively). Additionally, the classification accuracy rate improved with the aid of AI (86.40% vs. 75.45%; p < 0.001). Overall, the AI system could be used as an assistive diagnostic tool for both proficient and inexperienced colposcopists in cervical cancer screenings to estimate the impression and location of pathologic lesions. Further utilization of this system could help inexperienced colposcopists confirm where to perform a biopsy to diagnose high-grade lesions. [ABSTRACT FROM AUTHOR]