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Erschienen in: European Journal of Medical Research 8/2010

01.12.2010 | Research

Liver volume measurement: reason of the difference between in vivo CT-volumetry and intraoperative ex vivo determination and how to cope it

verfasst von: SM Niehues, JK Unger, M Malinowski, J Neymeyer, B Hamm, M Stockmann

Erschienen in: European Journal of Medical Research | Ausgabe 8/2010

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Abstract

Purpose

Volumetric assessment of the liver regularly yields discrepant results between pre- and intraoperatively determined volumes. Nevertheless, the main factor responsible for this discrepancy remains still unclear. The aim of this study was to systematically determine the difference between in vivo CT-volumetry and ex vivo volumetry in a pig animal model.

Material and Methods

Eleven pigs were studied. Liver density assessment, CT-volumetry and water displacement volumetry was performed after surgical removal of the complete liver. Known possible errors of volume determination like resection or segmentation borders were eliminated in this model. Regression analysis was performed and differences between CT-volumetry and water displacement determined.

Results

Median liver density was 1.07 g/ml. Regression analysis showed a high correlation of r2 = 0.985 between CT-volumetry and water displacement. CTvolumetry was found to be 13% higher than water displacement volumetry (p < 0.0001).

Conclusion

In this study the only relevant factor leading to the difference between in vivo CT-volumetry and ex vivo water displacement volumetry seems to be blood perfusion of the liver. The systematic difference of 13 percent has to be taken in account when dealing with those measures.
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Metadaten
Titel
Liver volume measurement: reason of the difference between in vivo CT-volumetry and intraoperative ex vivo determination and how to cope it
verfasst von
SM Niehues
JK Unger
M Malinowski
J Neymeyer
B Hamm
M Stockmann
Publikationsdatum
01.12.2010
Verlag
BioMed Central
Erschienen in
European Journal of Medical Research / Ausgabe 8/2010
Elektronische ISSN: 2047-783X
DOI
https://doi.org/10.1186/2047-783X-15-8-345

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