ArticleFrontiers in medicine2022
Development and Validation of a Prognostic Nomogram for Prognosis in Patients With Renal Artery Stenosis.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 2 citations in OpenAlex.
- Preliminary exploration of quantitative analysis parameters of renal cortical blood perfusion by contrast-enhanced ultrasound in hypertensive patients.Quantitative imaging in medicine and surgery · 2026Article
- Renal cortex blood perfusion contrast-enhanced ultrasound: Assisting diagnosis and treatment of renal artery disease.Aging medicine (Milton (N.S.W)) · 2024Article
- Ultrasound Doppler Flow Parameters Are Independently Associated with Renal Cortex Contrast-Enhanced Multidetector Computed Tomography Perfusion and Kidney Function.Journal of clinical medicine · 2023Article
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13 authors at 1 institution in 1 country.
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Abstract
Background and Objective: Renal artery stenosis (RAS) is associated with an increased risk of renal function deterioration (RFD). Our previous study showed that renal cortical blood perfusion assessed by contrast-enhanced ultrasound (CEUS) was an important related factor for RFD in RAS patients. Based on several conventional related factors confirmed by previous studies, we aimed to establish and verify a CEUS+ scoring system to evaluate the risk of RFD at 1 year of follow-up in RAS patients. Methods: This study was a single-center retrospective study. A total of 497 elderly RAS patients (247 in the training group and 250 in the verification group) admitted to the Beijing Hospital from January 2016 to December 2019 were included. The baseline characteristics of the patients on admission (including general conditions, previous medical history, blood pressure, blood creatinine, RAS, and cortical blood perfusion in the affected kidney) and renal function [glomerular filtration rate (GFR)] at 1-year of follow-up were collected. We used the univariate and multivariate logistic regressions to establish a CEUS+ scoring system model, the receiver operating characteristic (ROC) curve and area under the curve (AUC) to evaluate prediction accuracy, and the decision curve analysis and nomogram to evaluate the clinical application value of CEUS+ scoring system model. Results: Among the 497 patients enrolled, 266 (53.5%) were men, with an average age of (51.7 ± 19.3) years. The baseline clinical-radiomic data of the training group and the verification group were similar (all Conclusion: The CEUS+ scoring system model is helpful in predicting the risk of worsening renal function in elderly RAS patients.
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