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AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery
Summary
Flexible ureteroscopes used in kidney surgery have limited visualization, leading to missed areas and high recurrence rates. This study introduces automated analysis of CT scans to predict viewability in the renal collecting system.
Area of Science:
- Urology
- Medical Imaging
- Surgical Technology
Background:
- Ureteroscopic intrarenal surgery utilizes flexible ureteroscopes (fURS) for kidney stone and upper tract urothelial carcinoma (UTUC) treatment.
- Limitations of fURS include restricted visualization and fragility, potentially causing missed regions and scope breakage.
- These limitations contribute to significant recurrence rates for kidney stone and UTUC patients.
Purpose of the Study:
- To address the limitations of flexible ureteroscopes in intrarenal surgery.
- To introduce an automated method for assessing viewability within the renal collecting system.
- To improve surgical outcomes by identifying challenging-to-visualize areas pre-operatively.
Main Methods:
- Development of an automated patient-specific analysis tool.
- Utilizing pre-operative computed tomography (CT) scans as input data.
- Analysis focused on determining viewability within the renal collecting system.
Main Results:
- The automated analysis provides patient-specific viewability predictions.
- Identifies regions within the renal collecting system that may be difficult to visualize with fURS.
- Potential to guide surgical planning and reduce missed regions.
Conclusions:
- Automated CT-based analysis offers a novel approach to pre-operative planning in ureteroscopic intrarenal surgery.
- This method can help mitigate issues related to fURS visualization limitations and fragility.
- Aims to reduce recurrence rates for kidney stone and UTUC by improving surgical completeness.
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