Endoscopic in-situ recognition of urinary stones during LASER-induced stone fragmentation: a modern, effective and essential approach in the diagnostic process in urolithiasis
DENIS DE SENNEVILLE, Baudouin
Institut de Mathématiques de Bordeaux [IMB]
Modélisation Mathématique pour l'Oncologie [MONC]
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Institut de Mathématiques de Bordeaux [IMB]
Modélisation Mathématique pour l'Oncologie [MONC]
DENIS DE SENNEVILLE, Baudouin
Institut de Mathématiques de Bordeaux [IMB]
Modélisation Mathématique pour l'Oncologie [MONC]
Institut de Mathématiques de Bordeaux [IMB]
Modélisation Mathématique pour l'Oncologie [MONC]
DAUDON, Michel
Maladies rénales fréquentes et rares : des mécanismes moléculaires à la médecine personnalisée [CoRaKID]
< Reduce
Maladies rénales fréquentes et rares : des mécanismes moléculaires à la médecine personnalisée [CoRaKID]
Language
en
Article de revue
This item was published in
Comptes Rendus. Chimie. 2022-11, vol. 25, n° S1, p. 407-416
Académie des sciences (Paris)
English Abstract
Examination of stone morphologies shows a great potential for the etiological diagnosis of stone disease. Endoscopic Stone Recognition (ESR) can thereby provide essential morpho-constitutional analysis of stones in-situ, ...Read more >
Examination of stone morphologies shows a great potential for the etiological diagnosis of stone disease. Endoscopic Stone Recognition (ESR) can thereby provide essential morpho-constitutional analysis of stones in-situ, and becomes a method of choice for an effective management of patients with kidney stones. Here, we show that both visual and automatic ESR can be performed within a LASER-induced spraying session. ESR may therefore be beneficial to still apply an etiological approach in lithiasis. We discuss the added value of Artificial Intelligence in the entire patient care process. Prospects and requirements for widespread applications of ESR in a clinical practice are evaluated.Read less <
Origin
Hal imported