August 17
To download program at a glance of UAA Congress 2025 :
17th August 2025
| Time | Session | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
08:30
12:00
|
TWTC - 1F Exhibition Hall
|
|||||||||
|
08:30
10:00
|
TICC - 3F Plenary Hall
|
TICC - 3F Banquet Hall
|
||||||||
|
08:30
15:30
|
TICC - 4F 401
|
|||||||||
|
10:00
10:30
|
TWTC - 1F Exhibition Hall
|
|||||||||
|
10:30
12:00
|
TICC - 1F 101A
|
|||||||||
|
10:30
12:00
|
TICC - 1F 101B
|
BPH & Novel Advances (B)
Po-Ming ChowTaiwan
Moderator
Conventional Artificial Urinary Sphincter ImplantationA step-by-step video of a standard approach of AUS implatation is shown in this semi-live session.
TICC - 1F 101C
|
Oncology Prostate (F)
TICC - 1F 101D
|
Oncology Bladder (B)
TICC - 3F South Lounge
|
||||||
|
12:00
13:00
|
Global Impact and Transforming HIV Prevention of Shang Ring Male Circumcision
TICC - 3F Banquet Hall
|
A New Era in Precision Diagnosis and Localized Therapy in PCa with Micro-Ultrasound (ExactVu) and Focal One Robotic HIFU
TICC - 2F 201BC
|
The Role of Immunotherapy in adj./mRCC, Updated Evidence and Clinical Practice
TICC - 2F 201DE
|
Breaking New Ground: PARPi + ARPi Combination Therapy in mCRPC
TICC - 2F 201AF
|
Offers an Optimized Solution for MIUC Patients with Nivolumab
TICC - 1F 101A
|
|||||
|
12:00
13:00
|
Optimizing Treatment and The Role of PARPi and ARPi in PC
TICC - 1F 101B
|
Maximizing Treatment Outcomes in Advanced Prostate Cancer: Strategies for Optimal Patient Care
TICC - 1F 101C
|
The Japanese Surveillance and JAID/JSC Guidelines 2023: The Usefulness of the Urinary Flow Cytometry Method (uFCM)
TICC - 1F 101D
|
Shaping a New Era: IO Perioperative Therapy in MIBC
TICC - 3F South Lounge
|
||||||
|
13:30
15:30
|
TICC - 3F Banquet Hall
|
TICC - 2F 201BC
|
Novel Advances (C)
Hsiang-Ying LeeTaiwan
Moderator
Best Laser for UTUCManagement of Total Ureteral Avulsion during Ureteroscopy
Osamu UkimuraJapan
Moderator
A Fully Automated Artificial Intelligence System to Assist Pathologists' Diagnosis to Predict Histologically High-Grade Urothelial Carcinoma from Digitized Urine CytologyBackground: Urine cytology, although a useful screening method for urothelial carcinoma, lacks sensitivity. As an emerging technology, artificial intelligence (AI) improved image analysis accuracy significantly.
Objective: To develop a fully automated AI system to assist pathologists in the histological prediction of high-grade urothelial carcinoma (HGUC) from digitized urine cytology slides.
Design, setting, and participants: We digitized 535 consecutive urine cytology slides for AI use. Among these slides, 181 were used for AI development, 39 were used as AI test data to identify HGUC by cell-level classification, and 315 were used as AI test data for slide-level classification.
Outcome measurements and statistical analysis: Out of the 315 slides, 171 were collected immediately prior to bladder biopsy or transurethral resection of bladder tumor, and then outcomes were compared with the histological presence of HGUC in the surgical specimen. The primary aim was to compare AI prediction of the histological presence of HGUC with the pathologist's histological diagnosis of HGUC. Secondary aims were to compare the time required for AI evaluation and concordance between the AI's classification and pathologist's cytology diagnosis.
Results and limitations: The AI capability for predicting the histological presence of HGUC was 0.78 for the area under the curve. Comparing the AI predictive performance with pathologists' diagnosis, the AI sensitivity of 63% for histological HGUC prediction was superior to a pathologists' cytology sensitivity of 46% (p = 0.0037). On the contrary, there was no significant difference between the AI specificity of 83% and pathologists' specificity of 89% (p = 0.13), and AI accuracy of 74% and pathologists' accuracy of 68% (p = 0.08). The time required for AI evaluation was 139 s. With respect to the concordance between the AI prediction and pathologist's cytology diagnosis, the accuracy was 86%. Agreements with positive and negative findings were 92% and 84%, respectively.
Conclusions: We developed a fully automated AI system to assist pathologists' histological diagnosis of HGUC using digitized slides. This AI system showed significantly higher sensitivity than a board-certified cytopathologist and may assist pathologists in making urine cytology diagnoses, reducing their workload.
Patient summary: In this study, we present a deep learning-based artificial intelligence (AI) system that classifies urine cytology slides according to the Paris system. An automated AI system was developed and validated with 535 consecutive urine cytology slides. The AI predicted histological high-grade urothelial carcinoma from digitized urine cytology slides with superior sensitivity than pathologists, while maintaining comparable specificity and accuracy.
Keywords: Artificial intelligence; Deep learning; The Paris System; Urine cytology; Urothelial carcinoma.
TICC - 2F 201DE
|
Functional Urology (D)
TICC - 2F 201AF
|
Oncology Prostate (F)
TICC - 1F 101A
|
|||||
|
13:30
15:00
|
Oncology Miscellaneous & Endourology (C)
TICC - 1F 101B
|
Novel Advances (D) & Andrology & Transplantation
TICC - 1F 101C
|
Andrology (D)
Chuan-Shu ChenTaiwan
Moderator
Severity of sexual dysfunction in Taiwanese patients with and without type 2 diabetes mellitus.introduction
Patients with type 2 diabetes are at a higher risk of developing sexual dysfunction. This study aims to investigate the current prevalence of sexual dysfunction in Taiwanese patients with and without type 2 diabetes mellitus(DM) and to explore patterns in how affected individuals seek management or treatment for this condition.
Materials and Methods
Between June 2023 and October 2024, a total of 450 patients visiting our urology outpatient department were invited to complete a questionnaire comprising the Men's Sexual Health Questionnaire (MSHQ) and supplementary questions assessing patterns of seeking management for sexual dysfunction.
Results
Of the 402 subjects who completed the questionnaire, 28.1% (113/402) had type 2 diabetes mellitus (DM). Among patients with varying degrees of sexual dysfunction, those in the DM group reported significantly greater severity across all domains of the MSHQ—erection, ejaculation, satisfaction, frequency of sexual activity, and sexual desire—compared to the non-DM group.
After applying propensity score matching for age and comorbid chronic diseases, the scores in each domain were as follows (DM group vs. non-DM group): erection (9.55 vs. 10.94, p = 0.028), ejaculation (25.87 vs. 28.26, p = 0.012), sexual desire (12.38 vs. 13.34, p = 0.020), satisfaction (20.51 vs. 21.64, p = 0.112), and frequency of sexual activity (10.29 vs. 10.58, p = 0.465).
Notably, 73% of patients with DM expressed a desire to discuss sexual health issues with their physicians. However, only 10% reported that their doctors had initiated such conversations. The most commonly cited reason for not discussing sexual problems was feeling embarrassed. Additionally, 54% of DM patients with sexual dysfunction reported receiving no form of management, despite 57% expressing interest in treatment.
Conclusions
The prevalence of sexual dysfunction and related concerns was high among diabetic patients; however, only a small proportion had sought professional help. Routine screening for sexual dysfunction in patients with diabetes is therefore recommended.
Hyun Jun Park Korea (Republic of)
Moderator
The Evolutionary Role of Varicocelectomy in Andrology Varicocelectomy is among the most commonly performed surgical procedures in contemporary andrological practice. Historically, varicocele management focused primarily on alleviating symptomatic discomfort and addressing infertility characterized by impaired semen parameters. However, the conceptual framework and indications for varicocelectomy have evolved significantly over recent decades, reshaping its clinical implications and expanding its therapeutic potential.
Initially, open surgical approaches such as retroperitoneal and inguinal varicocelectomy were predominant, yet they carried considerable risks, including recurrence, hydrocele formation, and potential damage to testicular arteries. With the advent of microsurgical techniques, particularly subinguinal microsurgical varicocelectomy, procedural efficacy and safety have markedly improved. This has resulted in reduced complication rates and enhanced fertility outcomes, positioning microsurgical varicocelectomy as the current gold standard.
Modern andrological literature emphasizes varicocelectomy’s broader physiological benefits beyond fertility. Recent studies highlight its role in improving testosterone production, mitigating hypogonadism, and enhancing overall testicular function. Additionally, varicocelectomy has been demonstrated to significantly improve sperm DNA integrity and reduce oxidative stress levels, thus positively impacting assisted reproductive technology (ART) outcomes.
Furthermore, contemporary research suggests that varicocelectomy may provide systemic health benefits by reducing chronic inflammation and oxidative damage, conditions associated with metabolic and cardiovascular disorders. This evolving understanding positions varicocelectomy not merely as a fertility treatment but as an integral part of comprehensive male reproductive health management. These insights prompt a proactive approach, encouraging clinicians to recognize varicocelectomy’s extended potential in enhancing male reproductive longevity and general health.
In conclusion, the evolution of varicocelectomy, characterized by advancements in surgical techniques and expanded clinical indications, underscores its significant role in modern andrology. An integrated appreciation of its multifaceted therapeutic benefits facilitates informed clinical decision-making, ultimately enhancing patient care and outcomes in andrological practice.
Yu-Sheng ChengTaiwan
Moderator
DNA Fragmentation’s Impact on Male Infertility: Advanced molecular approaches in male infertility diagnosis Semen analysis remains the cornerstone to accessing male fertility potential despite many drawbacks and fails to predict the male fertility potential with high sensitivity and specificity. The integrity of sperm DNA is crucial for successful fertilization, embryo growth, and the precise transmission of genetic information to progeny. Increasing research suggests that higher sperm DNA fragmentation (SDF) may correlate with clinical varicocele, unexplained infertility, recurrent pregnancy loss, and offspring health. Currently, several tests are available to assess sperm DNA fragmentation in clinical settings. The degree of sperm DNA damage can be measured using the sperm DNA fragmentation index (DFI), which provides more insight into the quality of sperm. Recently, several laboratories have integrated SDF testing into routine semen analysis for the assessment of male infertility. Nonetheless, several aspects of SDF remain unresolved.
This presentation will provide an introduction to existing SDF assays, including recent innovative tests for double-strand breaks (DSBs) in human ejaculated sperm, as well as a discussion on the clinical indications for SDF testing based on recent scientific findings.
TICC - 1F 101D
|
Oncology & Transplantation
TICC - 3F South Lounge
|
||||||
|
15:30
16:00
|
TICC - 3F Banquet Hall
|
|||||||||