The effects of section thickness on the estimation of liver volume by the Cavalieri principle using computed tomography images

被引:38
作者
Emirzeoglu, M
Sahin, B
Selcuk, MB
Kaplan, S
机构
[1] Ondokuz Mayis Univ, Sch Med, Dept Anat, TR-55139 Samsun, Turkey
[2] Ondokuz Mayis Univ, Sch Med, Dept Radiol, TR-55139 Samsun, Turkey
[3] Ondokuz Mayis Univ, Sch Med, Dept Histol & Embryol, TR-55139 Samsun, Turkey
关键词
Cavalieri principle; computed tomography; liver; section thickness; volume estimation;
D O I
10.1016/j.ejrad.2005.04.008
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Estimation of liver volume using routine CT scans has been described previously. We have, however, not found a cold standard study which analyzes the effect of section thickness on the estimation of liver Volume using CT images. In the present study, five normal livers obtained from cadavers were scanned using a Spiral CT Scanner (Xpress/GX Toshiba, Tocigi-Ken) in the horizontal plane. Consecutive sections at a thickness of 10, 5 and 1 mm were used to estimate the total volume of the livers by means of the Cavalieri principle. With a view to evaluating inter-observer differences, liver volume was estimated by three observers. The estimated volume using the classical volume estimation formula did not concur with the actual volume of the livers obtained by the fluid displacement technique. The section thickness has an over- or under-projection effect on the estimated volume. The obtained volume estimation results were, therefore, calibrated using three different approaches. The volume obtained by the calibration formulae did not differ statistically from actual liver volumes (P < 0.05). There were also no significant differences between the performers' estimates (P> 0.05). Results showed that the effect of section thickness on the volume estimates could not be omitted and the obtained values could be calibrated using the proposed approaches presented in this study. (C) 2005 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:391 / 397
页数:7
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