Yuta Takezawa

Kanazawa University

Papers

2

Total Citations

131

H-Index

2

About

Dr. Yuta Takezawa is a leading urological researcher whose work centers on improving functional outcomes after robot-assisted radical prostatectomy (RARP), with a particular focus on postoperative urinary continence. His major contributions lie in identifying key preoperative and intraoperative factors that predict continence recovery, thereby helping surgeons tailor their techniques to individual patients. In his highly cited 2015 study (87 citations), Dr. Takezawa demonstrated that nerve-sparing techniques significantly reduce postprostatectomy incontinence, providing crucial evidence for preserving erectile function without compromising urinary control. His subsequent chronological urodynamic evaluation (44 citations) further elucidated the changing bladder and urethral functions after RARP, offering a dynamic understanding of recovery patterns. By integrating urodynamic assessments with surgical variables, Dr. Takezawa has advanced personalized surgical planning, enabling more accurate predictions of continence outcomes. His work has been instrumental in refining robotic prostatectomy protocols, directly benefiting thousands of prostate cancer patients by minimizing long-term side effects. Dr. Takezawa’s research continues to shape evidence-based practices in urologic oncology, bridging the gap between surgical technique and patient quality of life.

Research Focus

Key Achievements

2
H-Index
2
Papers
131
Total Citations
66
Avg Citations/Paper
🏆 Most Cited Paper
Use of preoperative factors including urodynamic evaluations and nerve‐sparing status for predicting urinary continence recovery after robot‐assisted radical prostatectomy: Nerve‐sparing technique contributes to the reduction of postprostatectomy incontinence
87 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Kanazawa University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago