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基于氟脱氧葡萄糖正电子发射断层扫描数据的食管癌放射生物学建模

Radiobiological Modeling Based on F-Fluorodeoxyglucose Positron Emission Tomography Data for Esophageal Cancer.

作者信息

Guerrero Mariana, Tan Shan, Lu Wei

机构信息

Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, 21201, USA.

Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, 21201, USA ; Department of Intelligent Science and Technology, School of Automation, Huazhong University of Science and Technology, Wuhan, China.

出版信息

J Nucl Med Radiat Ther. 2014;5. doi: 10.4172/2155-9619.1000190.

Abstract

BACKGROUND

We investigated the relationship of standardized uptake values (SUVs) to radiobiological parameters, such a 25 s tumor control probability (TCP), to allow for quantitative prediction of tumor response based on SUVs from F fluorodeoxyglucose (F-FDG) positron emission tomography (PET) before and after treatment for esophageal cancer.

METHODS

We analyzed data from 20 esophageal cancer patients treated with chemoradiotherapy (CRT) followed by surgery. Tumor pathologic response to CRT was assessed in surgical specimens. Patients underwent F-FDG PET imaging before and after CRT. Rigid image registration was performed between both images. Because TCP in a heterogeneous tumor is a function of average cell survival, we modeled TCP as a function of , a possible surrogate for average cell survival (=<SUV/SUV>). TCP was represented by a sigmoid function with two parameters: SUV, the at which TCP=0.5, and γ, the slope of the curve at SUV. The two parameters and their confidence intervals (CIs) were estimated using the maximum-likelihood method. The correlation between SUV before CRT and SUV change <SUV - SUV> was also studied.

RESULTS

A TCP model as a function of SUV before and after treatment was developed for esophageal cancer patients. The maximum-likelihood estimate of SUV was 0.47 (90% CI, 0.30-0.61) and for γ was 1.62 (90% CI, 0-4.2). High initial SUV and larger metabolic response (larger <SUV -SUV>) were correlated, and this correlation was stronger among responders.

CONCLUSIONS

Our TCP model indicates that <SUV/SUV> is a possible surrogate for cell survival in esophageal cancer patients. Although CIs are large as a result of the small patient sample, parameters for a TCP curve can be derived and an individualized TCP can be calculated for future patients. Initial SUV does not predict response, whereas a correlation is found between surrogates for initial tumor burden and cell kill during therapy.

摘要

背景

我们研究了标准化摄取值(SUV)与放射生物学参数(如25秒肿瘤控制概率(TCP))之间的关系,以便根据食管癌治疗前后氟脱氧葡萄糖(F-FDG)正电子发射断层扫描(PET)的SUV进行肿瘤反应的定量预测。

方法

我们分析了20例接受放化疗(CRT)后行手术治疗的食管癌患者的数据。在手术标本中评估肿瘤对CRT的病理反应。患者在CRT前后接受F-FDG PET成像。对两幅图像进行刚性图像配准。由于异质性肿瘤中的TCP是平均细胞存活率的函数,我们将TCP建模为的函数,可能是平均细胞存活率的替代指标(=<SUV/SUV>)。TCP由具有两个参数的S形函数表示:SUV,即TCP = 0.5时的;γ,曲线在SUV处的斜率。使用最大似然法估计这两个参数及其置信区间(CI)。还研究了CRT前的SUV与SUV变化<SUV - SUV>之间的相关性。

结果

为食管癌患者建立了治疗前后作为SUV函数的TCP模型。SUV的最大似然估计值为0.47(90% CI,0.30 - 0.61),γ的最大似然估计值为1.62(90% CI,0 - 4.2)。高初始SUV与更大的代谢反应(更大的<SUV - SUV>)相关,且这种相关性在反应者中更强。

结论

我们的TCP模型表明<SUV/SUV>可能是食管癌患者细胞存活的替代指标。尽管由于患者样本量小,置信区间较大,但可以得出TCP曲线的参数,并为未来患者计算个体化的TCP。初始SUV不能预测反应,而在初始肿瘤负荷替代指标与治疗期间细胞杀伤之间发现了相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0491/4286330/1585944ea7d3/nihms639284f1.jpg

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