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Unbiased estimation of the liver volume by the Cavalieri principle using magnetic resonance images

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Date

2003

Author

Şahin, Bünyamin
Emirzeoğlu, Mehmet
Uzun, Aahmet
İncesu, Lütfi
Bek, Yüksel
Bilgiç, Sait
Kaplan, Süleyman

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Abstract

Objective: It is often useful to know the exact volume of the liver, such as in monitoring the effects of a disease, treatment, dieting regime, training program or surgical application. Some non-invasive methodologies have been previously described which estimate the volume of the liver. However, these preliminary techniques need special software or skilled performers and they are not ideal for daily use in clinical practice. Here, we describe a simple, accurate and practical technique for estimating liver volume without changing the routine magnetic resonance imaging scanning procedure. Materials and methods: In this study, five normal livers, obtained from cadavers, were scanned by 0.5 T MR machine, in horizontal and sagittal planes. The consecutive sections, in 10 mm thickness, were used to estimate the whole volume of the liver by means of the Cavalieri principle. The volume estimations were done by three different performers to evaluate the reproducibility. Results: There are no statistical differences between the performers and real liver volumes (P > 0.05). There is also high correlation between the estimates of performers and the real liver volume (r = 0.993). Conclusion: We conclude that the combination of MR imaging with the Cavalieri principle is a non-invasive, direct and unbiased technique that can be safely applied to estimate liver volume with a very moderate workload per individual. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.

Source

European Journal of Radiology

Volume

47

Issue

2

URI

https://doi.org/10.1016/S0720-048X(02)00152-3
https://hdl.handle.net/20.500.12712/22757

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  • Makale Koleksiyonu [18]
  • PubMed İndeksli Yayınlar Koleksiyonu [6144]
  • Radyoloji Anabilim Dalı Makale Koleksiyonu [18]
  • Scopus İndeksli Yayınlar Koleksiyonu [14046]
  • WoS İndeksli Yayınlar Koleksiyonu [12971]



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