The Application Value of 3D Model in Partial Nephrectomy of Varying Complexity

Area of Science:

• Urology
• Surgical Oncology
• Medical Imaging

Background:

• Partial nephrectomy is a key treatment for kidney tumors.
• Accurate pre-operative assessment is crucial for successful partial nephrectomy.
• Three-dimensional (3D) modeling offers advanced visualization for complex surgical planning.

Purpose of the Study:

• To evaluate the clinical application value of 3D models in partial nephrectomy.
• To compare outcomes of 3D-guided partial nephrectomy versus traditional 2D methods.
• To assess the impact of RENAL score on the effectiveness of 3D-assisted partial nephrectomy.

Main Methods:

• A comparative study involving 126 patients undergoing partial nephrectomy.
• Patients were divided into three groups: 3D-partial nephrectomy (3D-PN), 2D-partial nephrectomy (2D-PN), and 3D-robot-assisted PN (3D-RAPN).
• Perioperative data, including surgical time, ischemia time, blood loss, and recovery metrics, were analyzed and compared across groups and RENAL score subgroups (4-6 and ≥7).

Main Results:

• 3D-PN demonstrated significant improvements over 2D-PN in warm ischemia time, intraoperative bleeding, postoperative drainage, and hospital stay.
• In the high complexity RENAL score ≥7 subgroup, 3D-PN showed significant advantages in surgical time, warm ischemia time, postoperative drainage, and hospital stay compared to 2D-PN.
• 3D-PN and 3D-RAPN showed significant differences in warm ischemia time, intraoperative bleeding, and hospital stay.

Conclusions:

• Preoperative 3D model evaluation provides significant benefits for partial nephrectomy, particularly in patients with high RENAL scores (≥7).
• The integration of 3D modeling with robot-assisted radical prostatectomy (RARP) further optimizes surgical outcomes and procedural convenience.
• 3D modeling represents a valuable tool for enhancing precision and efficiency in partial nephrectomy for complex renal masses.