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3D anatomical digital twins: New generation virtual models to navigate robotic partial nephrectomy
Daniele Amparore1, Alberto Piana1, Federico Piramide1
1Department of Urology, San Luigi Gonzaga Hospital University of Turin Turin Italy.
BJUI Compass
|March 11, 2025
Summary
Newly developed 3D anatomical digital twin models enhance robotic-assisted partial nephrectomy (RAPN) by improving intraoperative guidance. These models offer superior concordance with real anatomy, aiding in identifying tumors and critical structures.
Area of Science:
- Urology
- Medical Imaging
- Robotic Surgery
Background:
- 3D virtual models are increasingly used in urology, especially for robotic partial nephrectomy.
- Anatomical digital twin models offer enhanced realism by replicating organ morphology, anatomy, and tissue textures.
Purpose of the Study:
- To develop and evaluate novel 3D anatomical digital twin models for intraoperative guidance during robotic-assisted partial nephrectomy (RAPN).
Main Methods:
- Digital twin models were created using virtual elements and machine learning-based texture analysis from intraoperative images.
- Two surgeons assessed standard 3D models versus digital twins across four key surgical phases in four RAPN cases.
Main Results:
- Digital twin models demonstrated superior concordance with actual anatomy compared to standard 3D models.
- Surgeons found digital twins more useful for identifying tumors, vascular pedicles, and ureters, but not kidney margins.
Conclusions:
- 3D anatomical digital twin models represent an advancement in personalized virtual reconstructions for surgery.
- These models provide a more realistic intraoperative view, enhancing surgeon confidence and identification of surgical targets.
