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Objectives To investigate the relationship between low kidney volume and subsequent estimated glomerular filtration rate (eGFR) decline in eGFR category G2 (60–89 mL/min/1.73 m2) population. Methods In this retrospective study, we evaluated 5531 individuals with eGFR category G2 who underwent medical checkups at our institution between November 2006 and October 2017. Exclusion criteria were absent for follow-up visit, missing data, prior renal surgery, current renal disease under treatment, large renal masses, and horseshoe kidney. We developed a 3D U-net-based automated system for renal volumetry on CT images. Participants were grouped by sex-specific kidney volume deviations set at mean minus one standard deviation. After 1:1 propensity score matching, we obtained 397 pairs of individuals in the low kidney volume (LKV) and control groups. The primary endpoint was progression of eGFR categories within 5 years, assessed using Cox regression analysis. Results This study included 3220 individuals (mean age, 60.0 ± 9.7 years; men, n = 2209). The kidney volume was 404.6 ± 67.1 and 376.8 ± 68.0 cm3 in men and women, respectively. The low kidney volume (LKV) cutoff was 337.5 and 308.8 cm3 for men and women, respectively. LKV was a significant risk factor for the endpoint with an adjusted hazard ratio of 1.64 (95% confidence interval: 1.09–2.45; p = 0.02). Conclusion Low kidney volume may adversely affect subsequent eGFR maintenance; hence, the use of imaging metrics may help predict eGFR decline. Critical relevance statement Low kidney volume is a significant predictor of reduced kidney function over time; thus, kidney volume measurements could aid in early identification of individuals at risk for declining kidney health. Key points • This study explores how kidney volume affects subsequent kidney function maintenance. • Low kidney volume was associated with estimated glomerular filtration rate decreases. • Low kidney volume is a prognostic indicator of estimated glomerular filtration rate decline. Graphical Abstract
Objectives To investigate the relationship between low kidney volume and subsequent estimated glomerular filtration rate (eGFR) decline in eGFR category G2 (60–89 mL/min/1.73 m2) population. Methods In this retrospective study, we evaluated 5531 individuals with eGFR category G2 who underwent medical checkups at our institution between November 2006 and October 2017. Exclusion criteria were absent for follow-up visit, missing data, prior renal surgery, current renal disease under treatment, large renal masses, and horseshoe kidney. We developed a 3D U-net-based automated system for renal volumetry on CT images. Participants were grouped by sex-specific kidney volume deviations set at mean minus one standard deviation. After 1:1 propensity score matching, we obtained 397 pairs of individuals in the low kidney volume (LKV) and control groups. The primary endpoint was progression of eGFR categories within 5 years, assessed using Cox regression analysis. Results This study included 3220 individuals (mean age, 60.0 ± 9.7 years; men, n = 2209). The kidney volume was 404.6 ± 67.1 and 376.8 ± 68.0 cm3 in men and women, respectively. The low kidney volume (LKV) cutoff was 337.5 and 308.8 cm3 for men and women, respectively. LKV was a significant risk factor for the endpoint with an adjusted hazard ratio of 1.64 (95% confidence interval: 1.09–2.45; p = 0.02). Conclusion Low kidney volume may adversely affect subsequent eGFR maintenance; hence, the use of imaging metrics may help predict eGFR decline. Critical relevance statement Low kidney volume is a significant predictor of reduced kidney function over time; thus, kidney volume measurements could aid in early identification of individuals at risk for declining kidney health. Key points • This study explores how kidney volume affects subsequent kidney function maintenance. • Low kidney volume was associated with estimated glomerular filtration rate decreases. • Low kidney volume is a prognostic indicator of estimated glomerular filtration rate decline. Graphical Abstract
Objective. Resistant hypertension (RHT) is often associated with kidney injury and chronic kidney disease, especially in diabetic patients. Early detection of renal changes contributes to avoiding severe cardiovascular complications, but imaging characteristics of renal dysfunction in RHT remain unclear. The aim of the present study was to determine the relationships between the renal parenchyma volumes and biomarkers reflecting kidney function in a cohort of patients with RHT.Material and Methods. The study comprised 34 patients with RHT meeting the inclusion criteria. Evaluation of renal function was based on the measurements of estimated glomerular filtration rate (eGFR) and serum levels of creatinine and cystatin C. Renal sizes were assessed by MRI based on absolute and normalized parenchymal kidney volumes.Results. Primary MRI-based changes in renal parenchyma in patients with RHT demonstrated altered cortical surface, attenuated cortical thickness, lower renal volumes, and round shape of the kidneys compared with the reference characteristics. Positive correlation of moderate power was found between eGFR value and all parameters characterizing renal parenchyma. The strongest direct correlation was found between eGFR and bsa-TKV (r = 0.6166, p = 0.000); ht-TKV correlated with eGFR (r = 0.4751, p = 0.007) and creatinine (r = –0.4302, p = 0.016). According to linear regression analysis, ht-T-Cortex-V < 32.4 was a key element of MRI-presentation of renal dysfunction in patients with eGFR below 60 mL/min/1.73 m2 (sensitivity of 83.3%, specificity of 60.7%, p = 0.03).Conclusion. MRI study allowed to detect early renal parenchymal changes suggesting the presence of association between renal function and renal parenchymal volume in RHT patients. For the first time, the study revealed MRI-pattern of renal dysfunction in RHT.
Ga-prostate-specific membrane antigen (PSMA) ligands are used for prostate cancer but also show high renal cortical uptake. In this study, we aimed to assess whether there is any correlation between renal PSMA PET parameters and renal function tests using the images of prostate cancer patients. Methods: 68 Ga-PSMA-11 PET/CT images of the patients with prostate cancer were retrospectively evaluated. The following PET parameters were obtained: SUV max , SUV mean , SUV max corrected for lean body weight, SUV mean corrected for lean body weight, volume, lean body weight-corrected total lesion glycolysis (TLG SUL ), and counts of both kidneys, as well as SUV mean of the liver, blood pool, and spleen. Total TLG SUL , total volume, kidney-to-liver ratio, and kidney-to-blood pool ratio were calculated. Creatinine values were obtained, and glomerular filtration rate (GFR) was calculated using the "Modification of Diet in Renal Disease" formula. Statistical analysis was performed to understand whether there is a correlation between the above parameters and renal function tests. Results: Twenty-five patients were included in this study. GFR was significantly and positively correlated and creatinine was significantly and negatively correlated with the ratios of renal SUV to liver SUV and renal SUV to blood pool SUV. GFR was marginally positively correlated with renal SUV mean corrected for lean body weight, and creatinine was marginally negatively correlated with total TLG SUL . Total renal parenchymal volume was significantly and directly (positively) associated with GFR and significantly and inversely (negatively) associated with creatinine. Conclusion: Renal 68 Ga-PSMA uptake appears to be correlated with renal function tests. Our method of measuring approximate renal parenchymal volume on PET images appears to be reliable.
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