Background: Normal ultrasound values for pole-to-pole kidney length (LPP) are well established for children, but very little is known about normal kidney size and its influencing factors in adults. The objectives of this study were thus to establish normal CT values for kidney dimensions from a group of unselected patients, identify potential influencing factors, and to estimate their significance.
Methods: In multiphase thin-slice MDCTs of 2.068 kidneys in 1.040 adults, the kidney length pole to pole (LPP), parenchymal (PW) and cortical width (CW), position and rotation status of the kidneys, number of renal arteries, pyelon width and possible influencing factors that can be visualized, were recorded from a volume data set. For length measurements, axes were adjusted individually in double oblique planes using a 3D-software. Analyses of distribution, T-tests, ANOVA, correlation and multivariate regression analyses were performed.
Results: LPP was 108.5 +/- 12.2 mm for the right, and 111.3 +/- 12.6 mm for the left kidney (p < 0.0001 each). PW on the right side was 15.4 +/- 2.8 mm, slightly less than 15.9 +/- 2.7 mm on the left side (p < 0.0001), the CW was the same (6.6 +/- 1.9 mm). The most significant independent predictors for LPP, CW, and PW were body size, BMI, age, and gender (p < 0.001 each). In men, the LPP increases up to the fifth decade of life (p < 0.01). It is also influenced by the position of the kidneys, stenoses and number of renal arteries (SRA/NRA), infarctions suffered, parapelvic cysts, and absence of the contralateral kidney; CW is influenced by age, position, parapelvic cysts, NRA and SRA, and the PW is influenced in addition by rotation status (p < 0.05 each). Depending on the most important factors, gender-specific normal values were indicated for these dimensions, the length and width in cross section, width of the renal pelvis, and parenchyma-renal pyelon ratio.
Conclusions: Due to the complex influences on kidney size, assessment should be made individually. The most important influencing factors are BMI, height, gender, age, position of the kidneys, stenoses and number of renal arteries.
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http://dx.doi.org/10.1186/1471-2490-9-19 | DOI Listing |
iScience
January 2025
International Institute for Applied Systems Analysis, Laxenburg, Lower Austria, Austria.
Cost reductions are essential for accelerating clean technology deployment. Because multiple factors influence costs, traditional one-factor learning models, solely relying on cumulative installed capacity as an explanatory variable, may oversimplify cost dynamics. In this study, we disentangle learning and economies of scale effects at unit and project levels and introduce a knowledge gap concept to quantify rapid technological change's impact on costs.
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January 2025
Department of Adult Health Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Comprehensive data on the epidemiology of cancer-related thrombosis in Africa has been sparse until recently. Thus, this review was aimed to investigate the magnitude of cancer-related thrombosis in Africa. To obtain key articles, comprehensive search was conducted using various databases.
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January 2025
Institute for General and Hungarian Linguistics, HUN-REN Hungarian Research Centre for Linguistics, Budapest, Hungary.
[This corrects the article DOI: 10.3389/fpsyg.2024.
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January 2025
Faculty of Sports Science and Coaching, Sultan Idris Education University, Tanjong Malim, Malaysia.
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Front Psychol
January 2025
Indiana University Indianapolis, School of Health and Human Sciences, Indianapolis, IN, United States.
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