Literature DB >> 11505208

Quality of dynamic radionuclide renal imaging: multicentre evaluation using a functional renal phantom.

J O Heikkinen1, J T Kuikka, A K Ahonen, P J Rautio.   

Abstract

The aim of this study was to evaluate the quality of dynamic radionuclide renal imaging in Finland. Nineteen nuclear medicine departments participated. A functional renal phantom was imaged and interpreted as a patient-like study. Reconstruction and printouts were performed according to the clinical routine of each laboratory. Three nuclear medicine specialists anonymously evaluated the quality of the image sets. The visual scores of the experts were ranked from one to five. In addition, several numerical time-activity parameters were calculated and compared between the laboratories. The average visual scores of the experts for the image sets were 3.2+/-0.5 (range 2.4-4.2). Only two laboratories received a score value of 4 or higher. The average error for the time to reach maximum activity (T(max)) ranged from -29 to +18% and for the washout time to reach half activity from maximum activity (T(1/2)) ranged from -43 to +66%. These results suggest that the difference in calculated parameters between laboratories is most probably due to variations in study protocols and analysis programmes. The need for external quality assurance and quality improvement in nuclear renal imaging is evident and is recommended for regular use.

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Year:  2001        PMID: 11505208     DOI: 10.1097/00006231-200109000-00008

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


  9 in total

1.  Development and prospective evaluation of an automated software system for quality control of quantitative 99mTc-MAG3 renal studies.

Authors:  Russell D Folks; Ernest V Garcia; Andrew T Taylor
Journal:  J Nucl Med Technol       Date:  2007-03

2.  Assessment of glomerular filtration rate in elderly patients with chronic kidney disease.

Authors:  Xun Liu; Jinxia Chen; Cheng Wang; Chenggang Shi; Cailian Cheng; Hua Tang; Tanqi Lou
Journal:  Int Urol Nephrol       Date:  2013-07-25       Impact factor: 2.370

3.  Evaluation of glomerular filtration rate by different equations in Chinese elderly with chronic kidney disease.

Authors:  Guan Changjie; Zhu Xusheng; He Feng; Qin Shuguang; Li Jianwen; Fu Junzhou
Journal:  Int Urol Nephrol       Date:  2016-07-11       Impact factor: 2.370

4.  Are cystatin C-based equations superior to creatinine-based equations for estimating GFR in Chinese elderly population?

Authors:  Xiaohua Pei; Qiao Liu; Juan He; Lihua Bao; Chengjing Yan; Jianqing Wu; Weihong Zhao
Journal:  Int Urol Nephrol       Date:  2012-09-26       Impact factor: 2.370

5.  Assessment of creatinine and cystatin C-based eGFR equations in Chinese older adults with chronic kidney disease.

Authors:  Changjie Guan; Ming Liang; Riguang Liu; Shuguang Qin; Feng He; Jianwen Li; Xusheng Zhu; Hui Dai; Junzhou Fu
Journal:  Int Urol Nephrol       Date:  2018-06-13       Impact factor: 2.370

6.  A new modified CKD-EPI equation for Chinese patients with type 2 diabetes.

Authors:  Xun Liu; Xiaoliang Gan; Jinxia Chen; Linsheng Lv; Ming Li; Tanqi Lou
Journal:  PLoS One       Date:  2014-10-14       Impact factor: 3.240

7.  Using mathematical algorithms to modify glomerular filtration rate estimation equations.

Authors:  Xiaohua Pei; Wanyuan Yang; Shengnan Wang; Bei Zhu; Jianqing Wu; Jin Zhu; Weihong Zhao
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

8.  Is the Chronic Kidney Disease Epidemiology Collaboration creatinine-cystatin C equation useful for glomerular filtration rate estimation in the elderly?

Authors:  Xun Liu; Huijuan Ma; Hui Huang; Cheng Wang; Hua Tang; Ming Li; Yanni Wang; Tanqi Lou
Journal:  Clin Interv Aging       Date:  2013-10-11       Impact factor: 4.458

9.  A new equation to estimate glomerular filtration rate in Chinese elderly population.

Authors:  Xun Liu; Yanni Wang; Cheng Wang; Chenggang Shi; Cailian Cheng; Jinxia Chen; Huijuan Ma; Linsheng Lv; Lin Li; Tanqi Lou
Journal:  PLoS One       Date:  2013-11-11       Impact factor: 3.240

  9 in total

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