Splenic volume model constructed from standardized one-dimensional MDCT measurements.

Area of Science:

• Radiology
• Medical Imaging
• Anatomy

Background:

• Accurate splenic volume estimation is crucial for diagnosing conditions like splenomegaly.
• Traditional methods, such as the ellipsoid formula, may have limitations in precision.

Purpose of the Study:

• To develop and validate a novel model for estimating splenic volume using standardized one-dimensional spleen diameters.
• To compare the accuracy of this new model against the established ellipsoid formula.

Main Methods:

• A retrospective analysis of 193 patients using semiautomated segmentation software for splenic volume quantification.
• A linear regression model (V(R) = (0.36 × W × T × L) + 28) was constructed using splenic volume and dimensions (width, thickness, length).
• Model performance was assessed using Bland-Altman plots and Lin concordance correlation, comparing it with the ellipsoid formula.

Main Results:

• Splenic width was identified as the best single predictor of splenic volume (r = 0.84).
• The developed best-fit model demonstrated high accuracy (R² = 0.91) and was externally validated.
• The best-fit model significantly reduced mean bias (0.93% vs. 22.57%) and improved concordance (Lin coefficient 0.96 vs. 0.81) compared to the ellipsoid formula.

Conclusions:

• The novel best-fit model V(R) = (0.36 × W × T × L) + 28 offers a more optimized and less biased approach to splenic volume estimation.
• This model provides a more accurate alternative to the traditional ellipsoid formula for clinical use.