Literature DB >> 17414891

Development of formulae for accurate measurement of the glomerular filtration rate by renal dynamic imaging.

Qian Li1, Chun-Li Zhang, Zhan-Li Fu, Rong-Fu Wang, Ying-Chun Ma, Li Zuo.   

Abstract

AIM: Currently, the widely adopted renal dynamic imaging in clinical practice uses Gates' method to calculate the glomerular filtration rate (GFR), but many researchers have proven that Gates' method may result in bias. Thus, this article explores alternative improved formulae to calculate GFR by renal dynamic imaging.
METHODS: Three hundred and sixty-seven patients were selected and their GFR values were measured using renal dynamic imaging and the two-plasma method with 99mTc-diethylenetriaminepentaacetic acid (99mTc-DTPA) as the imaging agent. With the two-plasma GFR as reference value, two equations were obtained from linear and non-linear regression analyses between the renal uptake percentage and two-plasma GFR. The 367 patients were divided into two random groups, with the first group used to derive the regression formulae and the second to verify the formulae. Finally, all patients were studied to derive the formulae to calculate GFR. The comparison of our formulae with the commonly used Gates' formula was conducted by the Bland-Altman method.
RESULTS: The linear and non-linear GFR formulae were as follows: GFR (ml/min/1.73 m2)=(631.633 x renal uptake percentage - 2.040) x 1.73/BSA (BSA, body surface area) and GFR (ml/min/1.73 m2)=(-1996.585 x renal uptake percentage2 + 1013.526 x renal uptake percentage - 12.739) x 1.73/BSA, respectively. The biases of the GFR values calculated using the linear and non-linear formulae and Gates' formula relative to the two-plasma GFR were -2.5 +/- 19.1 ml/min/1.73 m2, -2.0 +/- 19.3 ml/min/1.73 m2 and 3.4 +/- 19.4 ml/min/1.73 m2, respectively.
CONCLUSIONS: The GFR values calculated using our new formulae correlate better with the reference GFR value than does GFR calculated by Gates' formula, and the GFR values measured using the non-linear formula are more accurate than those obtained using the linear formula.

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Year:  2007        PMID: 17414891     DOI: 10.1097/MNM.0b013e3280a02f8b

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  9 in total

1.  Fully automatic region of interest selection in glomerular filtration rate estimation from 99mTc-DTPA renogram.

Authors:  Kun-Ju Lin; Jia-Yann Huang; Yung-Sheng Chen
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

2.  Hemoglobin discriminates stages of chronic kidney disease in elderly patients.

Authors:  Ying Chen; Mingzhao Qin; Jie Zheng; Hong Yan; Mei Li; Yao Cui; Ruihua Zhang; Wei Zhao; Ying Guo
Journal:  Exp Ther Med       Date:  2015-05-21       Impact factor: 2.447

3.  Artificial neural network for the prediction model of glomerular filtration rate to estimate the normal or abnormal stages of kidney using gamma camera.

Authors:  Alamgir Hossain; Shariful Islam Chowdhury; Shupti Sarker; Mostofa Shamim Ahsan
Journal:  Ann Nucl Med       Date:  2021-09-07       Impact factor: 2.668

4.  Performance of the creatinine and cystatin C-based equations for estimation of GFR in Chinese patients with chronic kidney disease.

Authors:  Min Yang; Guang Xu; Lilu Ling; Jianying Niu; Tong Lu; Xin Du; Yong Gu
Journal:  Clin Exp Nephrol       Date:  2016-04-28       Impact factor: 2.801

5.  Improved measurement of the glomerular filtration rate from Tc-99m DTPA scintigraphy in patients following nephrectomy.

Authors:  Yong-il Kim; Seunggyun Ha; Young So; Won Woo Lee; Seok-Soo Byun; Sang Eun Kim
Journal:  Eur Radiol       Date:  2013-10-20       Impact factor: 5.315

6.  Collecting duct carcinoma of the kidney: Imaging observations of a rare tumor.

Authors:  Yuxiao Hu; Guang-Ming Lu; Kai Li; Long-Jiang Zhang; Hong Zhu
Journal:  Oncol Lett       Date:  2013-12-06       Impact factor: 2.967

7.  Estimation of glomerular filtration rate by a radial basis function neural network in patients with type-2 diabetes mellitus.

Authors:  Xun Liu; Yan-Ru Chen; Ning-shan Li; Cheng Wang; Lin-Sheng Lv; Ming Li; Xiao-Ming Wu; Tan-Qi Lou
Journal:  BMC Nephrol       Date:  2013-08-29       Impact factor: 2.388

8.  Serial renography for evaluation of the impact of capecitabine therapy on renal function: A case report.

Authors:  Jiazhong Ren; Zongwei Huo; Xiaohui Wang; Yan Liu; Guoren Yang
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

9.  Quantitative Single-Photon Emission Computed Tomography/Computed Tomography for Glomerular Filtration Rate Measurement.

Authors:  Yeon-Koo Kang; Sohyun Park; Min Seok Suh; Seok-Soo Byun; Dong-Wan Chae; Won Woo Lee
Journal:  Nucl Med Mol Imaging       Date:  2017-08-24
  9 in total

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