Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease
Yoon Ho Choi,
Seongho Jo,
Ro Woon Lee,
Ji-Eun Kim,
Jin Hyuk Paek,
Byoungje Kim,
Soo-Yong Shin,
Seun Deuk Hwang,
Seoung Woo Lee,
Joon Ho Song,
Kipyo Kim
Affiliations
Yoon Ho Choi
Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL 32224, USA
Seongho Jo
Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea
Ro Woon Lee
Department of Radiology, Inha University College of Medicine, Incheon 22332, Republic of Korea
Ji-Eun Kim
Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea
Jin Hyuk Paek
Department of Internal Medicine, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
Byoungje Kim
Department of Radiology, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
Soo-Yong Shin
Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul 06355, Republic of Korea
Seun Deuk Hwang
Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea
Seoung Woo Lee
Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea
Joon Ho Song
Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea
Kipyo Kim
Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea
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, p < 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.