论著摘要 |【PET】 18F-FDG PET/CT成像的异质性定量的低变异性纹理特征的鉴定(双语版)

2017-10-12 10:16:05 admin 0

Identification of Low Variability Textural Features for Heterogeneity Quantification of 18F-FDG PET/CT Imaging

发表日期: 2016.05.09   来源: Revista Española De Medicina Nuclear E Imagen Molecular, 2016, 35(6):379-384..

作者

Cortes-Rodicio J1, Sanchez-Merino G2, Garcia-Fidalgo MA2, Tobalina-Larrea I3.

作者介绍:

1. Servicio de Física Médica y Protección Radiológica. Hospital Universitario Araba - Sede Txagorritxu, C/ Jose Atxotegui, s/n, 01009 Vitoria-Gasteiz, Spain. Electronic address: jesus.cortesrodicio@osakidetza.eus.

2. Servicio de Física Médica y Protección Radiológica. Hospital Universitario Araba - Sede Txagorritxu, C/ Jose Atxotegui, s/n, 01009 Vitoria-Gasteiz, Spain.

3. Servicio de Medicina Nuclear, Hospital Universitario Araba - Sede Santiago, C/ Olaguibel, 29, 01004 Vitoria-Gasteiz, Spain.

摘要

目的

为了识别对技术和生物因素不敏感的这些纹理特征,以标准化18F-FDG PET成像的异质性研究。

OBJECTIVE

To identify those textural features that are insensitive to both technical and biological factors in order to standardise heterogeneity studies on 18F-FDG PET imaging.

材料和方法

进行了两项不同的研究。首先,采用三种不同的方案获取并重建了填充有不同18F-FDG活性浓度的圆柱形幻影的十九个系列。在感兴趣的圆形区域内计算了72个纹理特征。获得每个特征的可变性。其次,获得15例非病理性肝病患者的资料。还记录了解剖和生理特征,如患者体重,身高,体重指数,代谢活动量,血糖水平,SUVSUV标准偏差。描绘了感兴趣的肝脏覆盖区域,并且在每个患者中计算出低变异性纹理特征。 最后,进行了生物因子和纹理特征之间的多变量Spearman相关分析。

MATERIALS AND METHODS

Two different studies were performed. First, nineteen series from a cylindrical phantom filled with different 18F-FDG activity concentration were acquired and reconstructed using three different protocols. Seventy-two texture features were calculated inside a circular region of interest. The variability of each feature was obtained. Second, the data for 15 patients showing non-pathological liver were acquired. Anatomical and physiological features such as patient's weight, height, body mass index, metabolic active volume, blood glucose level, SUV and SUV standard deviation were also recorded. A liver covering region of interest was delineated and low variability textural features calculated in each patient. Finally, a multivariate Spearman's correlation analysis between biological factors and texture features was performed.

结果

只有八个纹理特征分析显示,具有活动浓度和重建方案的小变异性(<5%)使其适用于异质性定量。另一方面,MAV与熵之间存在较高的统计学显着性相关性(P<0.05)。熵特征确实与所有患者参数(体重指数除外)相关(P<0.05)。

Results

Only eight texture features analysed show small variability (<5%) with activity concentration and reconstruction protocol making them suitable for heterogeneity quantification. On the other hand, there is a high statistically significant correlation between MAV and entropy (P<0.05). Entropy feature is, indeed, correlated (P<0.05) with all patient parameters, except body mass index.

结论

与技术和生物因素无关的结构特征是运行百分比,短区重点和强度,使其适合于量化功能变化或分类患者。其他纹理特征与技术和生物因素相关,因此如果用于此目的,则是错误的来源。

Conclusions

The textural features that are correlated with neither technical nor biological factors are run percentage, short-zone emphasis and intensity, making them suitable for quantifying functional changes or classifying patients. Other textural features are correlated with technical and biological factors and are, therefore, a source of errors if used for this purpose.

 关键词:

异质性PET/CT,放射组学,纹理

KEYWORDS:

Heterogeneidad; Heterogeneity; PET/CT; PET/TC; Radiomics; Radiónica; Textura; Texture

阅读原文:PMID: 27174866   DOI:10.1016/j.remn.2016.04.002

 

 


慧影医疗科技(北京)有限公司

地点:北京市海淀区中关村东升科技园B2-C103

电话:400-890-9020

邮箱:radcloud@huiyihuiying.com

关闭
图片
图片
  • 深度学习科研云平台