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Renal depth measured by CT optimize the glomerular filtration rate using the Gates method in living donor kidney transplantation / 中华器官移植杂志
Chinese Journal of Organ Transplantation ; (12): 195-199, 2019.
Article in Chinese | WPRIM | ID: wpr-755920
ABSTRACT
Objective To evaluate the significance of kidney depth obtained by computed tomography (CT) in measuring glomerular filtration rate (GFR) by Gates method in living kidney transplant donors.Methods Individual kidney depth was compared among the estimates of Tφnnesen,Taylor and Li Qian formulas and CT measurements in 167 living-related kidney transplant donors respectively.While maintaining the active region of interest of kidney and background unchanged in 137 99mTe-DTPA renal dynamic imaging cases,GFR was measured by Gates' method and individual kidney compared among the estimates of Tφnnesen,Taylor and Li Qian formulas and CT measurements.Results Left/right kidney depth obtained by CT,Tφnnesen,Taylor and Li Qian formula was 6.82 ± 0.96/7.02 ± 1.00,5.67 ± 0.58/5.71 ± 0.59,6.43 ± 0.77/6.81 ± 0.72 and 7.03 ± 0.76/7.06 ± 0.70 cm;GFR 45.44 ± 9.04/46.61 ± 9.06,37.54 ± 6.34/37.37 ± 6.02,43.39 ± 7.59/44.62 ± 6.94 and 46.99 ± 8.04/46.70 ± 7.30 ml/min respectively.Individual kidney depth and GFR calculated by Taylor and Li Qian were higher than those of Tφnnesen formula (P<0.01).Individual kidney depth and GFR calculated by CT were higher than those of Tφnnesen and Taylor formulas (P<0.01).Left kidney depth and GFR calculated by Li Qian formula were higher than those of CT measurements (P<0.01).And no significant difference existed in right kidney(P>0.05).Conclusions Kidney depth measured by CT improves the accuracy of kidney depth estimated by Gates method and optimizes GFR in living donors for renal transplant.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Organ Transplantation Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Organ Transplantation Year: 2019 Type: Article