Renal depth measured by CT optimize the glomerular filtration rate using Gates method
10.3760/cma.j.cn321828-20200310-00095
- VernacularTitle:CT测量肾脏深度优化Gates法测定肾小球滤过率
- Author:
Kun LI
1
;
Jia HU
;
Chengpeng GONG
;
Fan HU
;
Rongmei TANG
;
Xiaoli LAN
Author Information
1. 华中科技大学同济医学院附属协和医院核医学科、分子影像湖北省重点实验室，武汉 430022
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2020;40(7):399-405
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the application value of CT measurement of renal depth correction, optimized acquisition and post-processing in the measurement of renal glomerular filtration rate (GFR) by Gates renal dynamic imaging.Methods:From January 2018 to November 2019, 157 patients (102 males, 55 females, age (51.4±14.5) years) including 118 in normal renal area group (adults with normal renal position and morphology, and excluding hydronephrosis, renal occupation, retroperitoneal mass and other factors affecting renal depth) and 39 in abnormal renal area group (19 of transplanted kidney, 11 of horseshoe kidney and 9 of ectopic kidney), were retrospectively enrolled in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology. The GFR was measured by renal dynamic imaging Gates method. For the normal renal area group, the renal depth was calculated by CT method, the traditional Tonnesen formula or the Li Qian formula. For the abnormal renal area group, the GFR was measured by optimized acquisition and post-processing method (GFR optimization), the traditional post-processing method (GFR tradition), or Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula method (eGFR). The differences of the renal depth and corresponding GFR obtained by different methods were analyzed using one-way analysis of variance and the least significant difference (LSD) t test. The correlation was analyzed by Pearson correlation analysis, and the consistency was analyzed by Bland-Altman analysis. Results:In the normal renal area group, the left and right renal depth measured by CT were (7.40±1.43) and (7.51±1.37) cm. Tonnesen formula underestimated renal depth (left kidney: (6.03±0.82) cm, right kidney: (6.06±0.84) cm; F values: 64.145 and 68.567, both P<0.01), and the deviation increased with the increase of CT measured depth ( r values: 0.847 and 0.834, both P<0.01). The GFR measured by Tonnesen formula was (56.93±28.42) ml·min -1·1.73 m -2, and the difference was statistically significant compared with CT method ((73.43±36.56) ml·min -1·1.73 m -2; F=9.423, P<0.01). The renal left and right depth measured by Li Qian formula were (7.55±1.03) and (7.52±0.98) cm, and the total GFR was (73.65±34.50) ml·min -1·1.73 m -2 with no differences compared with CT method (all P>0.05). The GFR obtained by Li Qian formula had better correlation ( r=0.901, P<0.01) and consistency with CT method. In the abnormal renal area group, GFR optimization, GFR tradition and eGFR was (63.11±27.40), (48.40±25.45) and (59.89±32.24) ml·min -1·1.73 m -2, respectively, and the difference between GFR tradition and GFR optimization was statistically significant ( F=2.870, P=0.025). GFR optimization had better correlation ( r=0.941, P<0.01) and consistency with eGFR. Conclusions:Tonnesen formula underestimates the renal depth. Using CT to measure renal depth and perform depth correction can improve the accuracy of Gates method for GFR determination. For the special cases of transplanted kidney, horseshoe kidney, ectopic kidney and retroperitoneal mass, it is important to optimize acquisition scheme and post-processing method to obtain accurate GFR.
