Human papillomavirus (HPV) infection remains a principal cause of cervical cancer worldwide. Although large-scale vaccination efforts have substantially lowered HPV infection rates and precancerous lesions, not all regions have achieved high coverage. In Japan, proactive HPV vaccine recommendations were suspended from 2013 to 2022 due to concerns over alleged adverse events, causing vaccination rates to drop from over 70% to below 1%. This narrative review synthesized research published from 2014 to 2025 in PubMed, Cochrane Library, and Google Scholar, focusing on English-language studies. Inclusion criteria encompassed analyses of HPV vaccine efficacy or safety, policies related to vaccination in Japan or other countries, and investigations into vaccine hesitancy or media influences. Data were categorized into five thematic areas: historical and policy contexts, evidence of vaccine safety and efficacy, societal drivers of hesitancy, communication strategies, and administrative or clinical interventions. Evidence robustly confirms the HPV vaccine’s favorable safety profile, with severe adverse events appearing exceedingly rare. Nonetheless, media sensationalism and limited risk communication in Japan perpetuated mistrust, impeding vaccination uptake. Comparisons with Denmark and Ireland indicate that transparent, interactive risk communication can restore coverage to near-pre-suspension levels. Japan’s recent policy reforms, including reinstating proactive recommendations and catch-up initiatives, have begun to reverse vaccination hesitancy. Sustained policy support, evidence-based messaging, and empathetic engagement with communities are central to rebuilding trust in the HPV vaccine. Lessons from best international practices emphasize the importance of multifaceted interventions, collaborative stakeholder engagement, and transparent risk communication to reduce the burden of HPV-related malignancies.

Takahashi T, et al. J Gynecol Oncol. 2022 May;33:e57. https://doi.org/10.3802/jgo.2022.33.e57

The Human Papillomavirus (HPV) vaccination rate among Japanese high school girls remains critically low, reflecting ongoing public apprehension and misinformation. This study explores the relationship between information presentation and attitudes toward HPV vaccination in Japan. We conducted a web-based survey of female high school students aged 15 to 16 and mothers of daughters of similar age across Japan. The first screening questionnaire investigated the vaccine uptake among eligible students. The detailed questions assessing awareness of HPV vaccination information, including vaccine eligibility and its cost, effectiveness, lifetime prevalence of HPV infection, and vaccine safety, were asked to the respondents. After presenting each piece of information, we investigated how the information influenced the vaccination attitudes of unvaccinated students and mothers of unvaccinated girls. Data collection occurred from August 20 to August 24, 2021. Of 473 students, 68 (14.4 %) had already been vaccinated before the study. Over half of the 245 participating students were aware of vaccine eligibility and cost (68.7 %) and effectiveness (63.6 %), but fewer understood lifetime prevalence (28.7 %) and safety (45.3 %). In contrast, awareness of the same questions in 245 mothers was higher than that in the students: 90.2 %, 92.5 %, 55.4 %, and 61.1 %, respectively. Among unvaccinated students and mothers of unvaccinated girls, the intention to get vaccinated increased the most after being informed about the lifetime risks of HPV infection; 50.5 % of students and 38.8 % of mothers showed a positive attitude toward the HPV vaccination. Bridging the awareness gap between students and mothers is crucial for improving HPV vaccination rates. The findings underscore the potential of specific, targeted information to influence vaccination intentions, particularly regarding the HPV infection rate.

Prostate cancer (PCa) is a clinically heterogeneous disease. Predicting clinically significant PCa with low–intermediate prostate-specific antigen (PSA), which often includes aggressive cancers, is imperative. This study evaluated the predictive accuracy of deep learning analysis using multimodal medical data focused on clinically significant PCa in patients with PSA ≤ 20 ng/mL. Our cohort study included 178 consecutive patients who underwent ultrasound-guided prostate biopsy. Deep learning analyses were applied to predict clinically significant PCa. We generated receiver operating characteristic curves and calculated the corresponding area under the curve (AUC) to assess the prediction. The AUC of the integrated medical data using our multimodal deep learning approach was 0.878 (95% confidence interval [CI]: 0.772–0.984) in all patients without PSA restriction. Despite the reduced predictive ability of PSA when restricted to PSA ≤ 20 ng/mL (n = 122), the AUC was 0.862 (95% CI: 0.723–1.000), complemented by imaging data. In addition, we assessed clinical presentations and images belonging to representative false-negative and false-positive cases. Our multimodal deep learning approach assists physicians in determining treatment strategies by predicting clinically significant PCa in patients with PSA ≤ 20 ng/mL before biopsy, contributing to personalized medical workflows for PCa management.

Background: Artificial intelligence (AI) is increasingly applied to colposcopy to enhance the detection of cervical intraepithelial neoplasia (CIN) and cervical cancer. We conducted a systematic review to summarize the diagnostic performance achieved by AI‑based colposcopic systems. Methods: Following the PRISMA 2020 guidelines, the PubMed database was searched using the search terms ‘artificial intelligence’ and ‘colposcop*’ for articles published between 2019 and 2024. From the initial 43 articles retrieved, 19 studies were selected based on specific inclusion criteria: original research articles, written in the English language, and relevant to CIN or cervical cancer diagnosis. For each, we extracted the sample size, AI architecture (e.g., convolutional neural networks, U-Net/DeepLab V3 + segmentation models, multimodal fusion networks), reference standard, and reported metrics (sensitivity, specificity, accuracy, and area under the curve). Results: Across multiple studies, AI systems demonstrated superior diagnostic accuracy, sensitivity, and specificity, particularly for early detection of high-risk lesions and classification of cervical abnormalities. Deep-learning models, such as convolutional neural networks, consistently outperformed conventional methods by reducing diagnostic variability and offering robust performance even in low-resource settings. The review also highlights the potential of AI for real-time diagnostics and its capacity to support clinical decision-making via automated systems. Conclusion: AI has the potential to revolutionize cervical cancer diagnosis and management by enhancing the accuracy and efficiency of colposcopic evaluations. However, challenges remain, including the development of standardized datasets, validation in diverse populations, and ethical considerations surrounding data privacy and access to technology. Continued research and development are crucial to harness AI’s global potential to improve patient outcomes.

Objective: Chylous ascites (CA) is a rare yet clinically significant complication following gynecologic cancer surgery, with incidence rates of 0.17 % to 9%. We aimed to describe a case of CA with a delayed clinical presentation nearly 100 days postoperatively in a patient with advanced endometrial cancer and to review the management strategies. Methods: We retrospectively evaluated a 75‐year‐old patient who underwent radical hysterectomy, bilateral salpingo‐oophorectomy, extended lymphadenectomy (pelvic and para‐aortic), and partial omentectomy for stage IIIB endometrial cancer. Data collected included onset timing, ascitic fluid analysis, imaging findings, and treatment responses. Additionally, a narrative review identified 13 relevant studies discussing the onset, risk factors, diagnosis, and therapies for post‐operative CA in gynecologic oncology. Results: Although CA typically appears within 4 to 21 days, our patient developed CA at approximately post‐operative day 99. Diagnostic paracentesis confirmed triglyceride‐rich ascitic fluid, establishing the diagnosis of CA. Dietary modification (fasting followed by medium‐chain triglyceride diet), octreotide therapy, and computed tomography (CT)‐guided lymphangiography effectively controlled the chylous leakage without requiring surgery. Conservative measures—low‐fat or medium‐chain triglyceride diets, total parenteral nutrition, and somatostatin analogs—are considered first‐line, while lymphangiography/embolization and eventual surgical ligation may be needed for refractory cases. Conclusions: This case illustrates that CA with a delayed clinical presentation can be successfully treated with a stepwise conservative approach comprising dietary therapy, octreotide, and CT‐guided lymphangiography, even when presenting more than 3 months postoperatively. Moreover, our patient remained free of disease recurrence at 1 year and 8 months postoperatively, underscoring that timely management of CA can avoid delays in adjuvant therapy.