Predicting Urinary Stone Composition in Single-Use Flexible Ureteroscopic Images with a Convolutional Neural Network

Article Urology & Nephrology

Towards automatic recognition of pure and mixed stones using intra-operative endoscopic digital images

Vincent Estrade et al.

Summary: The study evaluated the automatic recognition of pure and mixed urinary stones morphology using deep convolutional neural network in clinical setting, achieving high accuracy. 80% stones exhibited only one morphological type while 20% displayed two. Predictions of stone composition were accurate based on surface and section images analyzed by deep CNN.

BJU INTERNATIONAL (2022)

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Article Urology & Nephrology

Medical Treatment and Prevention of Urinary Stone Disease

Kyle Spradling et al.

UROLOGIC CLINICS OF NORTH AMERICA (2022)

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Article Medicine, General & Internal

In Vivo Feasibility Test of a New Flexible Ureteroscopic Robotic System, easyUretero, for Renal Stone Retrieval in a Porcine Model

Joonhwan Kim et al.

Summary: This study evaluated the feasibility and safety of renal stone retrieval using the easyUretero system in a porcine model. The results showed that the easyUretero system had lower radiation exposure dose, higher satisfaction in surgeon's fatigue category, and shorter stone retrieval time compared to manual RIRS.

YONSEI MEDICAL JOURNAL (2022)

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Article Medicine, General & Internal

The First 100 Cases of Endoscopic Combined Intrarenal Surgery in Korea: Matched Cohort Analyses versus Shock-Wave Lithotripsy

Hae Do Jung et al.

Summary: This study presents the initial experience with endoscopic combined intrarenal surgery (ECIRS) for large renal stones and compares it with shock-wave lithotripsy (SWL). The results show that ECIRS has a higher stone-free rate (SFR) and success rate compared to SWL for large renal stones. Smaller stone size and lower complexity of stones are associated with a higher likelihood of successful ECIRS.

YONSEI MEDICAL JOURNAL (2022)

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Article Urology & Nephrology

Toward improved endoscopic examination of urinary stones: a concordance study between endoscopic digital pictures vs microscopy

Vincent Estrade et al.

Summary: The study aimed to improve endoscopic recognition of urinary stone morphologies and found an overall matching rate of 81.6% between endoscopic and microscopic diagnoses. The diagnostic criteria for whewellite, weddellite, uric acid, carbapatite-struvite association, and brushite were confirmed with high accuracy. This preliminary study is a crucial step towards endoscopic stone recognition for lithiasis management.

BJU INTERNATIONAL (2021)

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Article Urology & Nephrology

Large database study of urinary stone composition in South Korea: Korean Society of Endourology and Robotics (KSER) research series

Hae Do Jung et al.

Summary: There are differences in the percentages of each stone composition according to sex, age, geographic region, month, and season. Identifying these differences is crucial for the treatment and prevention of urinary stones.

INVESTIGATIVE AND CLINICAL UROLOGY (2021)

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Article Urology & Nephrology