Applying urinary ultrasound to predict the risk of spontaneous ureteral stone passage: a retrospective cohort study

A prediction model based on ultrasound-derived stone length, location, and ureteral jetting frequency can accurately evaluate the risk of spontaneous stone passage in patients with ureteral stones, providing a basis for optimizing the clinical decision-making on ureteral stones, and has reliable clinical application value.

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Publication Details

Journal
BMC Urology
Published
2024-08-12
DOI
https://doi.org/10.1186/s12894-024-01558-w
Citations
2
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
Field-Weighted Citation Impact
0.84

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article

Applying urinary ultrasound to predict the risk of spontaneous ureteral stone passage: a retrospective cohort study

Min Di, Junchang Qin, Fang‐Ming Wang, Tianyu He et al.
2 citations
BMC Urology
Kidney Stones and Urolithiasis Treatments
0.84
article

Applying urinary ultrasound to predict the risk of spontaneous ureteral stone passage: a retrospective cohort study

Min Di, Junchang Qin, Fang‐Ming Wang, Tianyu He, Ruifang Zhang, Chang Wang
article en
2 citations

Abstract

A prediction model based on ultrasound-derived stone length, location, and ureteral jetting frequency can accurately evaluate the risk of spontaneous stone passage in patients with ureteral stones, providing a basis for optimizing the clinical decision-making on ureteral stones, and has reliable clinical application value.

BMC UrologyVol. 24(1)
First Affiliated Hospital of Zhengzhou University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 25%
Kidney Stones and Urolithiasis Treatments
0.84
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