Aysegul Gursoy Coruh1, Caglar Uzun2, Zehra Akkaya2, Basak Gulpinar2, Atilla Elhan3, Acar Tuzuner4. 1. Department of Radiology, Ankara University Medical School, Ankara, Turkey. Electronic address: draysegulgursoy@gmail.com. 2. Department of Radiology, Ankara University Medical School, Ankara, Turkey. 3. Department of Biostatistics, Ankara University Medical School, Ankara, Turkey. 4. Department of General Surgery, Ankara University Medical School, Ankara, Turkey.
Abstract
PURPOSE: The aim of this study is to determine the correlation between the predonation computed tomography (CT)-based calculated kidney volume and post-transplant renal function in recipients of renal transplants and to compare two different CT techniques. MATERIAL AND METHODS: The study group is comprised of 55 paired living kidney donor-recipients transplants. The total parenchymal renal volumes were calculated by using two CT-based techniques (3-dimensional renal volume [3DRV] and voxel-based volume calculation). Post-transplant creatinine and estimated glomerular filtration rate (eGFR) levels for the recipients at hospital discharge and sixth month were obtained. We tested the association with eGFR and creatinine by adjusting the renal volume to body weight and body mass index. For the creatinine levels above 1.5 mg/dL at discharge, a threshold value for renal volume-to-weight ratio on receiver operating characteristic curve (ROC) analysis and odds ratio (OR) were calculated. RESULTS: The renal volumes adjusted to weight were found to be moderately correlated with eGFR and creatinine levels at discharge (r = 0.51 and r = -0.54 for voxel-based calculation; r = 0.52 and r = -0.52 for 3DRV calculation, P < .001, respectively) and at sixth month (r = 0.55 and r = -0.58 for voxel-based calculation; r = 0.51 and r = -0.54 for 3DRV calculation, P < .001 respectively). A threshold value of 1.84 mL/kg was calculated for parenchymal volume-to-recipient weight ratio on ROC analysis (AUC±SE, 0.760 ± 0.078, P = .008). The likelihood of creatinine elevation above 1.5 mg/dL was found to be nine times greater for smaller renal volume-to-recipient weight ratios (OR = 9.6; 95% CI, 1.8-50.6) CONCLUSIONS: Predonation renal volume adjusted to recipient weight may estimate the renal function at discharge and 6 months after transplantation.
PURPOSE: The aim of this study is to determine the correlation between the predonation computed tomography (CT)-based calculated kidney volume and post-transplant renal function in recipients of renal transplants and to compare two different CT techniques. MATERIAL AND METHODS: The study group is comprised of 55 paired living kidney donor-recipients transplants. The total parenchymal renal volumes were calculated by using two CT-based techniques (3-dimensional renal volume [3DRV] and voxel-based volume calculation). Post-transplant creatinine and estimated glomerular filtration rate (eGFR) levels for the recipients at hospital discharge and sixth month were obtained. We tested the association with eGFR and creatinine by adjusting the renal volume to body weight and body mass index. For the creatinine levels above 1.5 mg/dL at discharge, a threshold value for renal volume-to-weight ratio on receiver operating characteristic curve (ROC) analysis and odds ratio (OR) were calculated. RESULTS: The renal volumes adjusted to weight were found to be moderately correlated with eGFR and creatinine levels at discharge (r = 0.51 and r = -0.54 for voxel-based calculation; r = 0.52 and r = -0.52 for 3DRV calculation, P < .001, respectively) and at sixth month (r = 0.55 and r = -0.58 for voxel-based calculation; r = 0.51 and r = -0.54 for 3DRV calculation, P < .001 respectively). A threshold value of 1.84 mL/kg was calculated for parenchymal volume-to-recipient weight ratio on ROC analysis (AUC±SE, 0.760 ± 0.078, P = .008). The likelihood of creatinine elevation above 1.5 mg/dL was found to be nine times greater for smaller renal volume-to-recipient weight ratios (OR = 9.6; 95% CI, 1.8-50.6) CONCLUSIONS: Predonation renal volume adjusted to recipient weight may estimate the renal function at discharge and 6 months after transplantation.