Investig Clin Urol.  2024 May;65(3):286-292. 10.4111/icu.20230240.

The mean Hounsfield unit range acquired from different slices produces superior predictive accuracy for pyonephrosis in obstructive uropathy

• Huang B
• Lu G
• Zhao Y
• Tu W
• Shao Y
• Wang D
• Xu D

• KMID: 2555627
• DOI: http://doi.org/10.4111/icu.20230240

Abstract

Purpose
To determine the non-contrast computer tomography imaging features of pyonephrosis and evaluate the predictive value of Hounsfield units (HUs) in different hydronephrotic region slices.
Materials and Methods
We retrospectively reviewed data from patients with hydronephrosis who had renal-ureteral calculi. All patients were categorized into pyonephrosis and simple hydronephrosis groups. Baseline characteristics, the mean HU values in the maximal hydronephrotic region (uHU) slice, and the range of uHU in different slices (△uHU) were compared between the two groups. Univariate and multivariate analyses were performed to identify risk factors for pyonephrosis.
Results
Among the 181 patients enrolled in the current study, 71 patients (39.2%) were diagnosed with pyonephrosis. The mean dilated pelvis surface areas were comparable between patients with pyonephrosis and simple hydronephrosis (822.61 ㎟ vs. 877.23 ㎟ , p=0.722). Collecting system debris (p=0.022), a higher uHU (p=0.038), and a higher △uHU (p<0.001) were identified as independent risk factors for pyonephrosis based on multivariate analysis. The △uHU sensitivity and specificity were 88.7% and 86.4%, respectively, at a cutoff value of 6.56 (p<0.001), whereas the sensitivity and specificity for detecting pyonephrosis at a uHU cutoff value of 7.96 was 50.7% and 70.9%, respectively (p=0.003).
Conclusions
Non-contrast computer tomography was shown to accurately distinguish simple hydronephrosis from pyonephrosis in patients with obstructive uropathy. Evaluation of the △uHU in different slices may be more reliable than the uHU acquired from a single slice in predicting pyonephrosis.

Keyword

Hounsfield units; Hydronephrosis; Multidetector computed tomography; Pyonephrosis; Urinary tract infection