Literature DB >> 33090257

Estimation of renal function using kidney dynamic contrast material-enhanced CT perfusion: accuracy and feasibility.

Seokmin Jeong1, Sung Bin Park2, In Ho Chang3, Jungho Shin4, Byung Hoon Chi3, Hyun Jeong Park1, Eun Sun Lee1.   

Abstract

PURPOSE: To measure glomerular filtration rates (GFRs) using kidney dynamic contrast material-enhanced (DCE)-CT perfusion scans and correlate them with estimated GFRs (eGFRs).
MATERIALS AND METHODS: Split-bolus CT urography, including pre-contrast and nephrographic-excretory phase imaging, was performed with a kidney DCE-CT perfusion scan protocol. We analysed 55 patients with suspected renal disease. All CT acquisitions were obtained on a 256-slice CT scanner for 3.5 min continuously with shallow breathing. Renal volume, perfusion and permeability values were calculated using a dedicated prototype software. Based on Patlak plots, split and total renal GFR values were determined. Paired t-tests, Pearson's correlation analysis and Bland-Altman plots were used for comparisons between kidney DCE-CT perfusion scan-derived GFR (CT-GFR) and the corresponding eGFR value. The p values < 0.05 were considered statistically significant.
RESULTS: The mean CT-GFR was 91.19 ± 20.71 mL/min/1.73 m2. The eGFR values based on the CKD-EPI and MDRD equations were 89.64 ± 19.74 mL/min/1.73 m2 and 89.50 ± 24.89 mL/min/1.73 m2, respectively. No statistically significant differences were found between CT-GFR and eGFRs (p > 0.05). Excellent correlation and agreement between CT-GFR and eGFRs (correlation coefficient r = 0.91 for CKD-EPI and 0.84 for MDRD equations, respectively) were confirmed.
CONCLUSION: Kidney DCE-CT perfusion is an accurate and feasible technique to assess renal function.

Entities:  

Keywords:  Glomerular filtration rate; Perfusion imaging; Spiral computed; Tomography; X-ray computed

Year:  2020        PMID: 33090257     DOI: 10.1007/s00261-020-02826-7

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  2 in total

1.  Implementation of Hospital-to-Home Model for Nutritional Nursing Management of Patients with Chronic Kidney Disease Using Artificial Intelligence Algorithm Combined with CT Internet.

Authors:  Xing Chen; Xueqin Huang; Mingyuan Yin
Journal:  Contrast Media Mol Imaging       Date:  2022-03-27       Impact factor: 3.161

2.  Factors influencing the time-intensity curve analysis of contrast-enhanced ultrasound in kidney transplanted patients: Toward a standardized contrast-enhanced ultrasound examination.

Authors:  Sarah Friedl; Ernst Michael Jung; Tobias Bergler; Hauke C Tews; Miriam C Banas; Bernhard Banas; Franz Josef Putz
Journal:  Front Med (Lausanne)       Date:  2022-08-25
  2 in total

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