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.
Huynh E1, Coroller TP2, Narayan V2, Agrawal V2 , Hou Y2, Romano J2, Franco I2, Mak RH2, Aerts HJ3.
1. Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA. Electronic address: email@example.com.
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.
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).
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.
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。
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.
This exploratory analysis demonstrates that radiomic features have potential to be prognostic for some outcomes that conventional imaging metrics cannot predict in SBRT patients.
Imaging; Lung cancer; Radiomics; Stereotactic body radiation therapy
阅读原文：PMID: 27296412 DOI: 10.1016/j.radonc.2016.05.024