Comparative study of CT measurement of adult kidney depth estimation formula

Corresponding author: wang hongzhi, whz@medmail.com.cn

DOI: 10.12201/bmr.202408.00020

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  Abstract: Objective To analyze the consistency between different kidney depth calculation formulas and actualSCT measurements, and to explore a more suitable kidney depth calculation formulas. Methods Adult patients who underwent renal dynamic imaging in our hospital from January 2019 to January 2024 were retrospectively included in this study. The abdominal CT image data of the same period were obtained, and the gender, age, height and weight were recorded. The patients body thickness and kidney depth were measured by CT. Seven calculation formulas (Tonnesen formula, Li Qian formula, Taylor formula, Inoue formula, Xue JJ formula, Lis equation and Ma Gs formula) were used to estimate the kidney depth. Paired sample t-test, Pearson correlation analysis and Bland Altman consistency analysis were performed between the kidney depth calculated by the equation and the kidney depth measured by CT. Results A total of 213 patients were finally included in this study. The statistical results showed that there was a correlation between the estimated values calculated by the calculation formulas and actual CT measurements, and the kidney depth calculated by the seven formulas was lower than the CT measurements. The results of correlation analysis showed that the correlation coefficient between MA Gs formula and CT measurements was better than other formulas, and the correlation coefficients of Tonnesen formula and Inoue formula were consistent. The bias between the kidney depth calculated by Tonnesen formula and the CT measured value is the largest, and the bias between the kidney depth calculated by MA Gs formula and the CT measured value is the smallest. Conclusion The correlation coefficient between kidney depth calculated by MA Gs formula and CT measured value is the largest, and the deviation range is small, which is better than the other six formulas. It is worth popularizing in clinic.

  Key words: Renal depth; Calculation formula; Renal dynamic imaging; Glomerular filtration rate

  Submit time: 12 August 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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