论著摘要 |【Radiomics-CT】立体定向放射治疗肺癌患者的基于CT的影像组学分析(双语版)

2018-01-18 11:21:29 admin 0
标签:   影像组学 CT 肺癌 立体定向放射治疗

CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer.

发表日期: 2016.06.10   来源:Radiother Oncol. 2016 Aug;120(2):258-66.

作者:

Huynh E1, Coroller TP2, Narayan V2, Agrawal V2 , Hou Y2, Romano J2, Franco I2, Mak RH2, Aerts HJ3.

作者介绍:

1. Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA. Electronic address: ehuynh@lroc.harvard.edu.

2. Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.

3. Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Department of Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.

摘要

Abstact

背景

影像组学使用大量的定量成像特征来描述肿瘤表型以形成临床结果的成像生物标志物。进行治疗前计算机断层扫描(CT)扫描的影像组学分析,以确定用于立体定向体辐射治疗(SBRT)治疗的早期非小细胞肺癌(NSCLC)患者的临床结果的成像预测因子。

Background

Radiomics uses a large number of quantitative imaging features that describe the tumor phenotype to develop imaging biomarkers for clinical outcomes. Radiomic analysis of pre-treatment computed-tomography (CT) scans was investigated to identify imaging predictors of clinical outcomes in early stage non-small cell lung cancer (NSCLC) patients treated with stereotactic body radiation therapy (SBRT).

材料与方法

分析了用SBRT治疗的113例I-II期NSCLC患者的CT图像。基于稳定性和变化选择12个影像组学特征。评估特征与临床结果的关联及其预后价值(使用一致指数(CI))。将影像组学特征与常规成像指标(肿瘤体积和直径)和临床参数进行比较。

Material and methods

CT images of 113 stage I-II NSCLC patients treated with SBRT were analyzed. Twelve radiomic features were selected based on stability and variance. The association of features with clinical outcomes and their prognostic value (using the concordance index (CI)) was evaluated. Radiomic features were compared with conventional imaging metrics (tumor volume and diameter) and clinical parameters.

结果

总生存期与两个常规特征(体积和直径)和两个影像组学特征(LoG 3D短行程低灰度优势和统计中值)相关。一个影像组学特征(小波LLH统计范围)对远处转移有显著的预后作用(CI = 0.67,q值<0.1),而常规和临床参数没有。三个常规和四个影像组学特征对总生存期有预后作用。

Results

Overall survival was associated with two conventional features (volume and diameter) and two radiomic features (LoG 3D run low gray level short run emphasis and stats median). One radiomic feature (Wavelet LLH stats range) was significantly prognostic for distant metastasis (CI=0.67, q-value<0.1), while none of the conventional and clinical parameters were. Three conventional and four radiomic features were prognostic for overall survival.

结论

这项探索性分析表明影像组学特征对于常规成像指标在SBRT治疗患者中无法预测的一些结果具有预后意义。

Conclusions

This exploratory analysis demonstrates that radiomic features have potential to be prognostic for some outcomes that conventional imaging metrics cannot predict in SBRT patients.

关键词:

图像;肺癌;影像组学;立体定向放射治疗

Keywords:

Imaging; Lung cancer; Radiomics; Stereotactic body radiation therapy

阅读原文:PMID: 27296412  DOI: 10.1016/j.radonc.2016.05.024


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