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一种新型垂体磁共振容积测量半自动分割技术的准确性和可重复性。

Accuracy and reproducibility of a novel semi-automatic segmentation technique for MR volumetry of the pituitary gland.

机构信息

Department of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353, Berlin, Germany.

出版信息

Neuroradiology. 2011 Apr;53(4):233-44. doi: 10.1007/s00234-010-0727-0. Epub 2010 Jun 19.

Abstract

INTRODUCTION

Although several reports about volumetric determination of the pituitary gland exist, volumetries have been solely performed by indirect measurements or manual tracing on the gland's boundaries. The purpose of this study was to evaluate the accuracy and reproducibility of a novel semi-automatic MR-based segmentation technique.

METHODS

In an initial technical investigation, T1-weighted 3D native magnetised prepared rapid gradient echo sequences (1.5 T) with 1 mm isotropic voxel size achieved high reliability and were utilised in different in vitro and in vivo studies. The computer-assisted segmentation technique was based on an interactive watershed transform after resampling and gradient computation. Volumetry was performed by three observers with different software and neuroradiologic experiences, evaluating phantoms of known volume (0.3, 0.9 and 1.62 ml) and healthy subjects (26 to 38 years; overall 135 volumetries).

RESULTS

High accuracy of the volumetry was shown by phantom analysis; measurement errors were <4% with a mean error of 2.2%. In vitro, reproducibility was also promising with intra-observer variability of 0.7% for observer 1 and 0.3% for observers 2 and 3; mean inter-observer variability was in vitro 1.2%. In vivo, scan-rescan, intra-observer and inter-observer variability showed mean values of 3.2%, 1.8% and 3.3%, respectively. Unifactorial analysis of variance demonstrated no significant differences between pituitary volumes for various MR scans or software calculations in the healthy study groups (p > 0.05).

CONCLUSION

The analysed semi-automatic MR volumetry of the pituitary gland is a valid, reliable and fast technique. Possible clinical applications are hyperplasia or atrophy of the gland in pathological circumstances either by a single assessment or by monitoring in follow-up studies.

摘要

介绍

尽管已有多项关于垂体体积测定的报告,但目前的体积测量仅通过间接测量或手动追踪腺体边界来完成。本研究的目的是评估一种新的基于 MRI 的半自动分割技术的准确性和可重复性。

方法

在最初的技术研究中,我们使用具有 1 毫米各向同性体素大小的 1.5T T1 加权 3D 天然磁化准备快速梯度回波序列(1.5T),获得了高度可靠的结果,并将其应用于不同的体外和体内研究中。该计算机辅助分割技术基于重采样和梯度计算后的交互式分水岭变换。三位观察者使用不同的软件和神经放射学经验评估了具有已知体积(0.3、0.9 和 1.62ml)的体模和健康受试者(26 至 38 岁;总共 135 次体积测量)。

结果

体模分析显示,该体积测量具有很高的准确性,测量误差<4%,平均误差为 2.2%。在体外,观察者 1 的内部分辨率为 0.7%,观察者 2 和 3 的内部分辨率为 0.3%,也具有很好的重现性;平均观察者间变异性为 1.2%。在体内,扫描-再扫描、观察者内和观察者间的变异性分别显示平均值为 3.2%、1.8%和 3.3%。在健康研究组中,单因素方差分析显示,各种 MRI 扫描或软件计算的垂体体积之间无显著差异(p>0.05)。

结论

分析的垂体 MRI 半自动体积测量是一种有效、可靠且快速的技术。可能的临床应用包括在病理情况下腺体的增生或萎缩,无论是通过单次评估还是通过监测随访研究。

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