Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease

• Published in: Diagnostics (Basel) 2023-01, Vol.13 (3), p.402
• Main Authors: Choi, Yoon Ho, Jo, Seongho, Lee, Ro Woon, Kim, Ji-Eun, Paek, Jin Hyuk, Kim, Byoungje, Shin, Soo-Yong, Hwang, Seun Deuk, Lee, Seoung Woo, Song, Joon Ho, Kim, Kipyo
• Format: Article
• Language: English
• Subjects: chronic kidney disease; Chronic kidney failure; Correlation analysis; CT imaging; Diabetes; Diagnosis; Glomerular filtration rate; Health aspects; Kidney diseases; kidney shape; Medical imaging; Methods; Morphology; radiomics; Ultrasonic imaging
• ISSN: 2075-4418; 2075-4418
• DOI: 10.3390/diagnostics13030402

Chronic kidney disease (CKD) progression involves morphological changes in the kidney, such as decreased length and thickness, with associated histopathological alterations. However, the relationship between morphological changes in the kidneys and glomerular filtration rate (GFR) has not been quantitatively and comprehensively evaluated. We evaluated the three-dimensional size and shape of the kidney using computed tomography (CT)-derived features in relation to kidney function. We included 257 patients aged ≥18 years who underwent non-contrast abdominal CT at the Inha University Hospital. The features were quantified using predefined algorithms in the pyRadiomics package after kidney segmentation. All features, except for flatness, significantly correlated with estimated GFR (eGFR). The surface-area-to-volume ratio (SVR) showed the strongest negative correlation (r = -0.75, < 0.0001). Kidney size features, such as volume and diameter, showed moderate to high positive correlations; other morphological features showed low to moderate correlations. The calculated area under the receiver operating characteristic (ROC) curve (AUC) for different features ranged from 0.51 (for elongation) to 0.86 (for SVR) for different eGFR thresholds. Diabetes patients had weaker correlations between the studied features and eGFR and showed less bumpy surfaces in three-dimensional visualization. We identified alterations in the CKD kidney based on various three-dimensional shape and size features, with their potential diagnostic value.