ArticleUrolithiasis2022
The combination of mean and maximum Hounsfield Unit allows more accurate prediction of uric acid stones.
Article in Urolithiasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 7 citations in OpenAlex.
- Article
- Investigation of the predictive value of Hounsfield units in predicting stone culture results in urinary stone disease.Scientific reports · 2025Article
- A nomogram clinical prediction model for predicting urinary infection stones: development and validation in a retrospective study.World journal of urology · 2024Article
- Accurate prediction of pure uric acid urinary stones in clinical context via a combination of radiomics and machine learning.World journal of urology · 2024Article
- Development and external validation of a machine learning-based model to classify uric acid stones in patients with kidney stones of Hounsfield units < 800.Urolithiasis · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
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Abstract
Based on mean Hounsfield Unit (HuMean), we aimed to evaluate the additional use of standard deviation of Hounsfield Unit (HuStd), minimum Hounsfield Unit (HuMin), and maximum Hounsfield Unit (HuMax) in noncontrast computed tomography (NCCT) to evaluate uric acid (UA) stones more accurately. The data of patients who underwent the NCCT examination and infrared spectroscopy in our hospital from August 2017 to December 2021 were analyzed retrospectively. Based on CT scans, the HuMean, HuStd, HuMin, and HuMax of all patients were measured. The patients were divided into groups according to the stone composition. The attenuation value of mixed stones was in the middle of their pure stones. Except for Str, statistically significant differences between UA stones and other pure stones were observed for HuMean, HuStd, HuMin, and HuMax. A moderate correlation was found between HuMean, HuStd, HuMin, and HuMax and UA stones (r
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