Evidence map›Paper›PMID 41080314›Full record

ArticleCureus2025

The Predictive Accuracy of Hounsfield Units and Urinary pH in the Non-invasive Diagnosis of Radiolucent Urinary Stones.

Mushtaq Hussain, Abdulla Alawadi, Yuko Smith, Kanwal Naz, Muhammad Umair Shafiq, Charlotte Armitage

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Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mushtaq HussainUrology, Queen Elizabeth Hospital Birmingham, Birmingham, GBR.
Abdulla AlawadiUrology, University Hospitals Birmingham, Birmingham, GBR.
Yuko SmithUrology, Queen Elizabeth Hospital Birmingham, Birmingham, GBR.
Kanwal NazUrology, Russells Hall Hospital, Dudley, GBR.
Muhammad Umair ShafiqUrology, University Hospitals Birmingham, Birmingham, GBR.
Charlotte ArmitageBiochemistry, Queen Elizabeth Hospital Birmingham, Birmingham, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Radiolucent urinary calculi, primarily uric acid and struvite stones, pose a diagnostic challenge due to their indistinct appearance on plain radiographs. Differentiating between these two types is essential, as they require markedly different therapeutic strategies. This study evaluates the combined utility of Hounsfield units (HU) from non-contrast computed tomography (NCCT) and urine pH values as non-invasive predictors of stone composition in radiolucent calculi. We hypothesized that the combination of HU and urine pH can accurately differentiate between uric acid and struvite stones. Methods We conducted a retrospective cohort study of 110 adult patients with radiolucent stones confirmed by chemical analysis between January 2021 and December 2024 at Queen Elizabeth Hospital, Birmingham. HU values were measured on NCCT, and urine pH was calculated as the mean from all available urinalysis records over the preceding six months. Infection markers (nitrite and leukocyte esterase) were also recorded. All patients underwent a X-ray kidneys, ureters, and bladder (KUB) to confirm radiolucency. Patients with mixed or radiopaque stones were excluded. Results Of the 110 patients, 65 had uric acid stones and 45 had struvite stones. Uric acid stones exhibited significantly lower HU values (432±98) and more acidic urine (pH: 5.5±0.3) compared to struvite stones (HU: 694±182, pH: 6.7±0.4; p<0.001 for both). Nitrite and leukocyte esterase positivity were also significantly higher in the struvite group (82% and 84%, respectively) than in the uric acid group (24% and 38%; p<0.001). A diagnostic threshold of HU ≤500 and pH ≤5.5 predicted uric acid stones with 87% sensitivity and 83% specificity, while HU >600 and pH >7 predicted struvite stones with 85% accuracy. Receiver operating characteristic (ROC) curve analysis demonstrated an area under the curve (AUC) of 0.94, indicating excellent diagnostic performance. Conclusion HU and urine pH are effective, non-invasive tools for differentiating uric acid from struvite radiolucent stones. Their combined use enables early, targeted medical management and may reduce reliance on delayed surgical confirmation, especially in systems with long elective wait times. Incorporating these parameters into routine clinical triage could significantly improve outcomes in patients with radiolucent urolithiasis.

Indexed as

hounsfield units (hu)medical stone managementnon-contrast computed tomography (ncct)non-invasive diagnosticsradiolucent urinary stonesstone compositionstruvite stonesuric acid calculiurinary tract infection (uti)urine ph

Identifiers

PMID41080314
PMCPMC12508783

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