Approximation of urinary bladder volume with few measurements on cross-sectional imaging
Abstract
BACKGROUND: Accurate estimation of urinary bladder volume (UBV) is important for diagnosing and managing bladder disorders. Computed tomography (CT) is often used as a reference standard; however, existing measurement methods vary in complexity and efficiency. AIM: To determine whether UBV can be accurately estimated on CT using a single sagittal measurement compared with multidimensional measurements and reference volumetric analysis. METHODS: CT abdomen-pelvis studies of 80 individuals without urinary tract pathology were retrospectively analyzed. Bladder volume was determined using manual volumetric tracing as the reference standard. Sagittal long axis [sagittal length (SL)], sagittal short axis [sagittal short (SS)], and transverse diameter [right-to-left (RL)] were measured, and single- and multidimensional products (SL, SL × SS, SL × SS × RL) were correlated with reference volume using Pearson correlation coefficients. Linear regression models were derived, and agreement was assessed using Bland-Altman analysis. RESULTS: = 0.99). A simplified linear formula was derived: Bladder volume (mL) = 5 × SL (mm) - 222. Bland-Altman analysis showed negligible bias and all values within the limits of agreement for the single-dimension model. CONCLUSION: UBV can be accurately estimated using a single sagittal CT measurement in healthy individuals. This simplified approach provides a rapid and reproducible alternative to multidimensional methods without meaningful loss of accuracy and may serve as a reference standard for validating ultrasound-based bladder volume estimation.
Fields of Study & Subjects
Bladder and Urothelial Cancer Treatments
Urinary Bladder and Prostate Research
Urinary Tract Infections Management
Publication details
- Journal / source
- World Journal of Radiology
- Publisher
- Baishideng Publishing Group Inc.
- Volume
- 18
- Issue
- 6
- Pages
- 120003–120003
- Publication date
- 2 June 2026
- Language
- EN