[PDF][PDF] Epidemiology and economics of nephrolithiasis
JB Ziemba, BR Matlaga - Investigative and clinical urology, 2017 - synapse.koreamed.org
Nephrolithiasis is a disease common in both the Western and non-Western world. Several
population based studies have demonstrated a rising prevalence and incidence of the …
population based studies have demonstrated a rising prevalence and incidence of the …
Herbal remedies for urinary stones used in India and China: A review
Ethanopharmacological relevance The process of formation or appearance of a urinary
stone anywhere in the renal tract is known as urolithiasis. It is a longstanding health …
stone anywhere in the renal tract is known as urolithiasis. It is a longstanding health …
[HTML][HTML] Fluid intake and dietary factors and the risk of incident kidney stones in UK Biobank: a population-based prospective cohort study
Background Fluid intake and diet are thought to influence kidney stone risk. However,
prospective studies have been limited to small samples sizes and/or restricted measures …
prospective studies have been limited to small samples sizes and/or restricted measures …
Kidney stones: natural remedies and lifestyle modifications to alleviate their burden
RM Jebir, YF Mustafa - International Urology and Nephrology, 2024 - Springer
Abstract Background Kidney stones (KSs), in fact, have been considered one of the most
ancient and prevalent medical conditions that impact a significant number of human beings …
ancient and prevalent medical conditions that impact a significant number of human beings …
Role of citrus fruit juices in prevention of kidney stone disease (KSD): a narrative review
Y Barghouthy, BK Somani - Nutrients, 2021 - mdpi.com
To explore the relationship between citrus fruit juices (oranges, grapefruits, and lemonades)
and kidney stone disease (KSD). Methods: A systematic review was performed using the …
and kidney stone disease (KSD). Methods: A systematic review was performed using the …
Assessing deep learning methods for the identification of kidney stones in endoscopic images
F Lopez, A Varelo, O Hinojosa… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Knowing the type (ie, the biochemical composition) of kidney stones is crucial to prevent
relapses with an appropriate treatment. During ureteroscopies, kidney stones are …
relapses with an appropriate treatment. During ureteroscopies, kidney stones are …
Food insecurity and kidney disease: a systematic review
F Ferrara, R Siligato, A Di Maria, L Scichilone… - … Urology and Nephrology, 2024 - Springer
Background The risk of developing and worsening chronic kidney disease (CKD) is
associated with unhealthy dietary patterns. Food insecurity is defined by a limited or …
associated with unhealthy dietary patterns. Food insecurity is defined by a limited or …
Trends in urinary stone composition in 23,182 stone analyses from 2011 to 2019: a high-volume center study in China
S Zhang, Y Huang, W Wu, Z He, LL Ou… - World Journal of …, 2021 - Springer
Purpose To evaluate the distribution and dynamic trends in constituents of urinary stones in
China. Materials and methods The composition of 23,182 stones were analyzed and then …
China. Materials and methods The composition of 23,182 stones were analyzed and then …
myStone: A system for automatic kidney stone classification
J Serrat, F Lumbreras, F Blanco, M Valiente… - Expert Systems with …, 2017 - Elsevier
Kidney stone formation is a common disease and the incidence rate is constantly increasing
worldwide. It has been shown that the classification of kidney stones can lead to an …
worldwide. It has been shown that the classification of kidney stones can lead to an …
[PDF][PDF] On the in vivo recognition of kidney stones using machine learning
G Ochoa-Ruiz, V Estrade, F Lopez… - arXiv preprint arXiv …, 2022 - researchgate.net
Determining the type of kidney stones allows urologists to prescribe a treatment to avoid
recurrence of renal lithiasis. An automated in-vivo image-based classification method would …
recurrence of renal lithiasis. An automated in-vivo image-based classification method would …