Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome.

Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome.
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DOI:
10.2967/jnumed.108.053397
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发表时间:
2008-12
期刊:
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
影响因子:
--
通讯作者:
Conrad EU
Conrad EU
中科院分区:
其他
文献类型:
--
作者:
Eary JF;O'Sullivan F;O'Sullivan J;Conrad EU

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肿瘤的18F-FDG PET图像常表现为空间分布高度不均匀的18F-FDG阳性像素。我们提出,18F-FDG空间分布的这种异质性可以用来预测肿瘤的生物学侵袭性。这项研究提供的数据支持这样一种假设,即一种新的异质性分析算法应用于患者肿瘤的18F-FDG PET图像可以预测患者的预后。应用一种新的肿瘤异质性分析算法对238例肉瘤患者的18F-FDG PET图像进行了分析。将患者特征、肿瘤组织学和患者预后与图像分析结果进行单变量和多变量分析比较。使用COX比例风险模型进一步分析数据关联的意义。统计分析表明,异质性分析是患者结局的一个强有力的独立预测因素。在肉瘤患者的临床人群中,新的18F-FDG PET肿瘤图像异质性分析方法被验证为能够预测患者的预后。这种方法可以扩展到其他PET图像数据集,在这些数据集中,组织摄取放射性示踪剂的异质性可以预测患者的预后。
18F-FDG PET images of tumors often display highly heterogeneous spatial distribution of 18F-FDG–positive pixels. We proposed that this heterogeneity in 18F-FDG spatial distribution can be used to predict tumor biologic aggressiveness. This study presents data to support the hypothesis that a new heterogeneity-analysis algorithm applied to 18F-FDG PET images of tumors in patients is predictive of patient outcome. 18F-FDG PET images from 238 patients with sarcoma were analyzed using a new algorithm for heterogeneity analysis in tumor 18F-FDG spatial distribution. Patient characteristics, tumor histology, and patient outcome were compared with image analysis results using univariate and multivariate analysis. Cox proportional hazards models were used to further analyze the significance of the data associations. Statistical analyses show that heterogeneity analysis is a strong independent predictor of patient outcome. The new 18F-FDG PET tumor image heterogeneity analysis method is validated for the ability to predict patient outcome in a clinical population of patients with sarcoma. This method can be extended to other PET image datasets in which heterogeneity in tissue uptake of a radiotracer may predict patient outcome.
DOI: 10.1073/pnas.0334858100
发表时间: 2003-02-04
影响因子: 11.1
作者:
Loeb, LA;Loeb, KR;Anderson, JP
通讯作者: Anderson, JP
DOI: 10.1093/biostatistics/kxi010
发表时间: 2005-04-01
期刊: BIOSTATISTICS
影响因子: 2.1
作者:
O'Sullivan, F;Roy, S;Eary, J
通讯作者: Eary, J
DOI: 10.1097/00000658-200003000-00011
发表时间: 2000-03-01
期刊: ANNALS OF SURGERY
影响因子: 9
作者:
Schwarzbach, MHM;Dimitrakopoulou-Strauss, A;Herfarth, C
通讯作者: Herfarth, C
DOI: 10.1093/biostatistics/4.3.433
发表时间: 2003-07-01
期刊: BIOSTATISTICS
影响因子: 2.1
作者:
O'Sullivan, F;Roy, S;Eary, J
通讯作者: Eary, J
DOI: 10.1007/s007760050055
发表时间: 1998-01-01
期刊: Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
影响因子: --
作者:
Unni, K K
通讯作者: Unni, K K