首页> 外文期刊>Clinical Radiology: Journal of the Royal College of Radiologists >A simple method to approximate liver size on cross-sectional images using living liver models.
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A simple method to approximate liver size on cross-sectional images using living liver models.

机译:一种使用活体肝脏模型在断层图像上估计肝脏大小的简单方法。

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AIM: To assess whether a simple. diameter-based formula applicable to cross-sectional images can be used to calculate the total liver volume. MATERIALS AND METHODS: On 119 cross-sectional examinations (62 computed tomography and 57 magnetic resonance imaging) a simple, formula-based method to approximate the liver volume was evaluated. The total liver volume was approximated measuring the largest craniocaudal (cc), ventrodorsal (vd), and coronal (cor) diameters by two readers and implementing the equation: Vol(estimated)=cc x vd x cor x 0.31. Inter-rater reliability, agreement, and correlation between liver volume calculation and virtual liver volumetry were analysed. RESULTS: No significant disagreement between the two readers was found. The formula correlated significantly with the volumetric data (r>0.85, p<0.0001). In 81% of cases the error of the approximated volume was <10% and in 92% of cases <15% compared to the volumetric data. CONCLUSION: Total liver volume can be accurately estimated on cross-sectional images using a simple, diameter-based equation.
机译:目的:评估是否简单。适用于横截面图像的基于直径的公式可用于计算总肝脏体积。材料与方法:在119项横截面检查(62台计算机断层扫描和57台磁共振成像)上,评估了一种基于公式的简单方法来估算肝脏体积。通过两个读数器测量最大的颅尾(cc),腹侧(vd)和冠状(cor)直径,并执行以下等式,估算总肝脏体积:Vol(估计)= cc x vd x cor x 0.31。分析了评分者之间的信度,一致性以及肝体积计算与虚拟肝体积之间的相关性。结果:两位读者之间没有发现重大分歧。该公式与体积数据显着相关(r> 0.85,p <0.0001)。与体积数据相比,在81%的情况下,近似体积的误差为<10%,在92%的情况下为<15%。结论:可以使用简单的基于直径的方程在​​横截面图像上准确估算总肝脏体积。

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