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Residual stone fragments: clinical implications and technological innovations
Rodrigo Suarez-Ibarrola1, Simon Hein, Arkadiusz Miernik
1Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg, Germany.
Current Opinion in Urology
|November 9, 2018
Summary
Clinically insignificant residual fragments (CIRF) are often not spontaneously cleared and may require reintervention. Novel retrieval methods and artificial neural networks (ANNs) show promise for improved stone clearance and patient outcomes.
Area of Science:
- Urology
- Nephrology
- Medical Technology
Background:
- The management of residual stone fragments after urological procedures has evolved significantly.
- Traditionally, small residual fragments were often observed, but evidence suggests they may not be spontaneously cleared.
Purpose of the Study:
- To review recent literature on residual stone fragments.
- To highlight novel developments in their management and prediction of outcomes.
Main Methods:
- Review of current urological literature focusing on residual stone fragments.
- Description of innovative retrieval technologies (e.g., magnetism, endoscopic pouch, stone adhesive).
- Discussion of artificial neural networks (ANNs) for predicting surgical outcomes.
Main Results:
- The concept of 'clinically insignificant residual fragments' (CIRF, ≤4mm) is increasingly challenged, as only a third are spontaneously cleared.
- Novel retrieval methods require further in-vivo validation for safety and efficacy.
- ANNs are emerging as valuable tools for predicting stone clearance and guiding patient counseling.
Conclusions:
- Residual stone fragments, even small ones, pose a risk for reintervention and impact patient well-being.
- Further research is needed to validate novel fragment retrieval techniques.
- Artificial intelligence, through ANNs, offers a promising approach to personalize stone treatment strategies and improve patient outcomes.
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