A statistical measure of tissue heterogeneity with application to 3D PET sarcoma data
A statistical measure of tissue heterogeneity with application to 3D PET sarcoma data
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DOI：
10.1093/biostatistics/4.3.433
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发表时间：
2003-07-01
期刊：
影响因子：
2.1
通讯作者：
Eary, J
中科院分区：
文献类型：
--
作者：
O'Sullivan, F;Roy, S;Eary, J
通过现代生物成像技术，如正电子发射断层扫描（PET），在体内测量局部组织特征，为定量分析组织异质性在理解生物功能中可能发挥的作用提供了机会。本文开发的组织特征的异质性的统计措施，是基于组织特征的分布从单峰椭圆轮廓空间模式的偏差。提出了一种基于感兴趣数据体积区域的有效度量计算算法。该技术通过应用于人肉瘤氟脱氧葡萄糖利用的PET成像研究数据来说明。一组74例肉瘤患者（随访5年生存信息）被评估异质性以及一些其他潜在的生存预后指标。对这些数据进行的Cox比例风险分析显示，肉瘤的异质性程度是与患者死亡相关的主要危险因素。提出了一些理论来分析异质性估计量的渐近统计行为。在泊松反卷积产生的数据（PET是主要的例子）的背景下，非均质估计器是PET图像数据的非线性函数，它是一致的，并且以注射剂量参数化的速率收敛。
In vivo measurement of local tissue characteristics by modem bioimaging techniques such as positron emission tomography (PET) provides the opportunity to analyze quantitatively the role that tissue heterogeneity may play in understanding biological function. This paper develops a statistical measure of the heterogeneity of a tissue characteristic that is based on the deviation of the distribution of the tissue characteristic from a unimodal elliptically contoured spatial pattern. An efficient algorithm is developed for computation of the measure based on volumetric region of interest data. The technique is illustrated by application to data from PET imaging studies of fluorodeoxyglucose utilization in human sarcomas. A set of 74 sarcoma patients (with five-year follow-up survival information) were evaluated for heterogeneity as well as a number of other potential prognostic indicators of survival. A Cox proportional hazards analysis of these data shows that the degree of heterogeneity of the sarcoma is the major risk factor associated with patient death. Some theory is developed to analyze the asymptotic statistical behavior of the heterogeneity estimator. In the context of data arising from Poisson deconvolution (PET being the prime example), the heterogeneity estimator, which is a non-linear functional of the PET image data, is consistent and converges at a rate that is parametric in the injected dose.