Ultrasonographic-guided robotic-assisted percutaneous nephrolithotomy
Abstract Percutaneous nephrolithotomy (PCNL) is considered the gold standard for treating kidney stones larger than 20 mm. However, the procedure requires high expertise and technical skills, especially for precise and accurate percutaneous access. This paper presents a robotic system designed to en...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Communications Engineering |
| Online Access: | https://doi.org/10.1038/s44172-025-00451-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849234502787792896 |
|---|---|
| author | Stefano Bazzani Stefano Puliatti Stefania Ferretti Giampaolo Bianchi Cristian Secchi Federica Ferraguti |
| author_facet | Stefano Bazzani Stefano Puliatti Stefania Ferretti Giampaolo Bianchi Cristian Secchi Federica Ferraguti |
| author_sort | Stefano Bazzani |
| collection | DOAJ |
| description | Abstract Percutaneous nephrolithotomy (PCNL) is considered the gold standard for treating kidney stones larger than 20 mm. However, the procedure requires high expertise and technical skills, especially for precise and accurate percutaneous access. This paper presents a robotic system designed to enable accurate kidney access by combining 3D anatomical modeling with real-time ultrasound guidance, thereby allowing novice surgeons to gain confidence in performing the initial puncture. A comprehensive validation campaign was conducted in a controlled clinical simulation environment, with experiments performed by both experienced urologists and urology residents. The proposed system improves surgical performance, reduces human error, and makes the procedure more accessible to less experienced clinicians. |
| format | Article |
| id | doaj-art-eaa443f22bc54e1db4de424ac6616f4b |
| institution | Kabale University |
| issn | 2731-3395 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Engineering |
| spelling | doaj-art-eaa443f22bc54e1db4de424ac6616f4b2025-08-20T04:03:07ZengNature PortfolioCommunications Engineering2731-33952025-07-014111110.1038/s44172-025-00451-0Ultrasonographic-guided robotic-assisted percutaneous nephrolithotomyStefano Bazzani0Stefano Puliatti1Stefania Ferretti2Giampaolo Bianchi3Cristian Secchi4Federica Ferraguti5Department of Sciences and Methods for Engineering, University of Modena and Reggio EmiliaSurgical, Medical and Dental Department of Morphological Sciences related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio EmiliaAzienda Ospedaliero-Universitaria di Modena, Policlinico di ModenaSurgical, Medical and Dental Department of Morphological Sciences related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio EmiliaDepartment of Sciences and Methods for Engineering, University of Modena and Reggio EmiliaDepartment of Sciences and Methods for Engineering, University of Modena and Reggio EmiliaAbstract Percutaneous nephrolithotomy (PCNL) is considered the gold standard for treating kidney stones larger than 20 mm. However, the procedure requires high expertise and technical skills, especially for precise and accurate percutaneous access. This paper presents a robotic system designed to enable accurate kidney access by combining 3D anatomical modeling with real-time ultrasound guidance, thereby allowing novice surgeons to gain confidence in performing the initial puncture. A comprehensive validation campaign was conducted in a controlled clinical simulation environment, with experiments performed by both experienced urologists and urology residents. The proposed system improves surgical performance, reduces human error, and makes the procedure more accessible to less experienced clinicians.https://doi.org/10.1038/s44172-025-00451-0 |
| spellingShingle | Stefano Bazzani Stefano Puliatti Stefania Ferretti Giampaolo Bianchi Cristian Secchi Federica Ferraguti Ultrasonographic-guided robotic-assisted percutaneous nephrolithotomy Communications Engineering |
| title | Ultrasonographic-guided robotic-assisted percutaneous nephrolithotomy |
| title_full | Ultrasonographic-guided robotic-assisted percutaneous nephrolithotomy |
| title_fullStr | Ultrasonographic-guided robotic-assisted percutaneous nephrolithotomy |
| title_full_unstemmed | Ultrasonographic-guided robotic-assisted percutaneous nephrolithotomy |
| title_short | Ultrasonographic-guided robotic-assisted percutaneous nephrolithotomy |
| title_sort | ultrasonographic guided robotic assisted percutaneous nephrolithotomy |
| url | https://doi.org/10.1038/s44172-025-00451-0 |
| work_keys_str_mv | AT stefanobazzani ultrasonographicguidedroboticassistedpercutaneousnephrolithotomy AT stefanopuliatti ultrasonographicguidedroboticassistedpercutaneousnephrolithotomy AT stefaniaferretti ultrasonographicguidedroboticassistedpercutaneousnephrolithotomy AT giampaolobianchi ultrasonographicguidedroboticassistedpercutaneousnephrolithotomy AT cristiansecchi ultrasonographicguidedroboticassistedpercutaneousnephrolithotomy AT federicaferraguti ultrasonographicguidedroboticassistedpercutaneousnephrolithotomy |