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Seppelt D, Ittermann T, Kromrey ML, Kolb C, vWahsen C, Heiss P, Völzke H, Hoffmann RT, Kühn JP. Simple diameter measurement as predictor of liver volume and liver parenchymal disease. Sci Rep 2022; 12:1257. [PMID: 35075169 PMCID: PMC8786943 DOI: 10.1038/s41598-022-04825-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/20/2021] [Indexed: 11/12/2022] Open
Abstract
To investigate the accuracy of liver diameters for estimation of liver size and to evaluate their application as tool for assessment of parenchymal liver disease. In the course of a population-based study, (SHIP) one thousand nine hundred thirty-nine volunteers underwent magnetic resonance imaging (MRI) of the liver including 3D gradient echo MRI sequences. Maximum liver diameters were measured in cranio-caudal (CC), anterior–posterior (AP), medial–lateral (ML) orientation. Diameters were compared with true liver volume assessed by liver segmentation. Additionally, age-dependent reference values for diameters were defined. Finally, accuracy of liver diameters was assessed to discriminate volunteers with healthy livers and participants with parenchymal changes, measured by MRI and laboratory. Reference values of liver diameters within the healthy population (n = 886) were defined as follows (mean ± standard deviation, confidence interval CI in cm): CC 17.2 ± 2, CI 13.6/21.2; AP 15.8 ± 1.9, CI 12.6/19.8; ML 19.7 ± 2.3, CI 15.8/24.6. There was a poor correlation using linear regression between liver diameter and true liver volume; CC 0.393, AP 0.359; ML 0.137. The AP direction shows the best correlation to discriminate between healthy and pathologic liver changes; AUC 0.78; p < 0.001, CC AUC 0.53; p < 0.001 and ML AUC 0.52; p = 0.008. Measurement of liver diameter, especially in the anterior–posterior direction is a simple option to detect chronic liver disease but less suitable for prediction of liver volume.
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Affiliation(s)
- D Seppelt
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany.
| | - T Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - M L Kromrey
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - C Kolb
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany
| | - C vWahsen
- Department of Diagnostic Radiology, University Medical Center Regensburg, Regensburg, Germany
| | - P Heiss
- Department of Diagnostic Radiology, University Medical Center Regensburg, Regensburg, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - R T Hoffmann
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany
| | - J P Kühn
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany
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