Sung Soo Kim
Papers
1
Total Citations
46
H-Index
1
About
Sung Soo Kim is a urological surgeon and researcher whose work has made meaningful contributions to the field of minimally invasive prostate cancer surgery, particularly robot-assisted laparoscopic prostatectomy (RALP). His most recognized research investigates how preoperative anatomical assessment can optimize surgical outcomes, notably examining how bony pelvic dimensions measured via MRI influence the technical execution and performance of RALP procedures. This work, which has accumulated 46 citations, reflects a clinically pragmatic approach — bridging diagnostic imaging with surgical planning to help surgeons anticipate operative challenges before entering the operating room. By analyzing data from 141 patients, Kim demonstrated the value of individualized anatomical evaluation in refining robotic surgical technique. His research sits at the intersection of urologic oncology, surgical robotics, and medical imaging, addressing a highly relevant challenge as robotic prostatectomy became increasingly adopted worldwide in the late 2000s. For students and researchers interested in surgical innovation and outcomes optimization in urological oncology, Kim's contributions offer an important early perspective on how preoperative imaging intelligence can directly inform and improve complex minimally invasive procedures.
Research Focus
Key Achievements
Top Papers
- 1