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Can preoperative planning using IRIS™ three-dimensional anatomical virtual models predict operative findings during
Ahmed Ghazi1, Nitin Sharma1, Ahmed Radwan2
1University of Rochester, Urology Department, Rochester, NY, USA.
Asian Journal of Urology
|November 29, 2023
Summary
The IRIS™ planning tool showed high predictive validity for robot-assisted partial nephrectomy (RAPN), with preoperative plans closely matching intraoperative execution. This technology enhances spatial understanding for surgeons during complex procedures.
Area of Science:
- Urology
- Surgical Technology
- Medical Imaging
Background:
- Robot-assisted partial nephrectomy (RAPN) is a complex procedure requiring precise surgical planning.
- Advanced visualization tools are crucial for improving surgical outcomes and spatial understanding.
- The IRIS™ system offers a 3D planning model for RAPN.
Purpose of the Study:
- To evaluate the predictive validity of the IRIS™ planning tool for RAPN.
- To assess the degree of overlap between preoperative surgical plans and intraoperative execution using IRIS™.
- To determine the clinical utility and effectiveness of IRIS™ in RAPN.
Main Methods:
- A prospective study involving 31 patients undergoing RAPN by four experienced urologists.
- Urologists reviewed the IRIS™ 3D model and completed preoperative questionnaires on surgical plans.
- Postoperative questionnaires assessed IRIS™ utility, efficiency, and effectiveness; overlap between planned and actual procedures was analyzed.
Main Results:
- Surgeons reported confidence in 67.7% of cases preoperatively.
- IRIS™ aided spatial sensation in 96.8% of intraoperative cases.
- High overlap was observed between planned and executed surgical approaches (90.0% for ischemia technique).
Conclusions:
- IRIS™ demonstrates high predictive accuracy for RAPN planning.
- The tool facilitates a strong correlation between preoperative planning and intraoperative execution.
- This study is the first to validate IRIS™ predictive accuracy in RAPN through direct comparison.
Keywords:
ImagingPartial nephrectomyPatient-specificRenal cancerRoboticsThree-dimensional virtual model
