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Three-Dimensional Preoperative Virtual Planning in Derotational Proximal Femoral Osteotomy

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Virtual Interactive 3D Modeling to Improve Outcomes in Robot-Assisted Partial Nephrectomy: Clinical Trial Protocol

Sigrun Holze¹, Clara Steiner^1,2, Anja Dietel¹

¹Department of Urology, University Hospital Leipzig, Leipzig, Germany.

European Urology Open Science

|June 10, 2025

Summary

This summary is machine-generated.

This study investigates virtual 3D modeling for robot-assisted partial nephrectomy (RAPN), aiming to improve patient outcomes and surgeon confidence. The research compares 3D model-guided RAPN against standard 2D CT scan guidance in kidney tumor surgery.

Keywords:

3D modeling Kidney mass Minimally invasive surgery Nephron-sparing surgery Renal cell carcinoma Robot-assisted partial nephrectomy

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Area of Science:

Urology
Surgical Technology
Medical Imaging

Background:

Robot-assisted partial nephrectomy (RAPN) is a standard procedure for kidney tumors.
Enhanced visualization may improve surgical precision and patient outcomes.
Current methods rely on 2D imaging, potentially limiting spatial understanding.

Purpose of the Study:

To evaluate the clinical value of virtual interactive 3D modeling in RAPN.
To assess the impact of 3D modeling on patient understanding and surgeon confidence.
To compare 3D model-based RAPN with standard 2D CT scan-based RAPN.

Main Methods:

Prospective, multicenter, randomized controlled trial (RCT) of 370 patients.
1:1 randomization to either 3D model-based RAPN or 2D CT scan-based RAPN.
Eligibility criteria include kidney tumors ≤7 cm and contrast-enhanced CT scans.

Main Results:

The trial is currently recruiting patients.
Data on clinical outcomes, patient understanding, and surgeon confidence will be collected.
Results will determine the efficacy of 3D modeling in RAPN.

Conclusions:

Virtual 3D modeling shows promise for enhancing RAPN procedures.
Further research is needed to confirm the benefits of 3D modeling in urological surgery.
This trial will provide crucial evidence on the utility of advanced visualization in kidney tumor surgery.