Exploration of Imaging Biomarkers for Predicting Survival of Patients With Advanced Non-Small Cell Lung Cancer Treated With Antiangiogenic Chemotherapy

被引:30
作者
Hayano, Koichi [1 ]
Kulkarni, Naveen M. [1 ]
Duda, Dan G. [2 ]
Heist, Rebecca Suk [3 ]
Sahani, Dushyant V. [1 ]
机构
[1] Massachusetts Gen Hosp, Div Abdominal Imaging & Intervent, 55 Fruit St,White 270, Boston, MA 02114 USA
[2] Massachusetts Gen Hosp, Steele Lab, Boston, MA 02114 USA
[3] Massachusetts Gen Hosp, Dept Thorac Oncol, Ctr Canc, Boston, MA 02114 USA
关键词
antiangiogenic therapy; CT perfusion; non-small cell lung cancer; PET; texture analysis; POSITRON-EMISSION-TOMOGRAPHY; CONTRAST-ENHANCED CT; PERFUSION CT; TUMOR HETEROGENEITY; TEXTURE ANALYSIS; PROGNOSTIC VALUE; BLOOD-FLOW; QUANTITATIVE ASSESSMENT; POTENTIAL MARKER; FDG-PET;
D O I
10.2214/AJR.15.15528
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
OBJECTIVE. The objective of this study was to compare imaging biomarkers, including F-18-FDG PET, CT perfusion (CTP), and CT texture analysis (CTTA), in predicting the survival of patients with advanced non-small cell lung cancer (NSCLC) treated with antiangiogenic chemotherapy. SUBJECTS AND METHODS. A total of 35 patients (17 men and 18 women; median age, 64.0 years) with advanced NSCLC treated with antiangiogenic chemotherapy were evaluated. CTP and FDG PET were performed before the therapy, and blood flow, blood volume, mean transit time, and the maximum standardized uptake value (SUVmax) of the tumor were measured. Texture parameters, including the mean value of pixels with positive values (MPP) and entropy (a measure of irregularity), were also measured on pretherapeutic unenhanced CT images, using CTTA software with a medium texture scale filtration. The best percent change in the tumor burden was also measured. These image-derived tumor parameters were then compared with progression-free survival (PFS) and overall survival (OS). RESULTS. In univariate Cox regression analysis, MPP and entropy were significantly correlated with PFS (p = 0.01 and p = 0.01, respectively), whereas SUVmax, MPP, and entropy were significantly correlated with OS (p = 0.03, p = 0.04, and p = 0.0008, respectively). In Kaplan-Meier analysis, high MPP and low entropy were significantly associated with favorable PFS (p < 0.0001 and p = 0.03, respectively) and OS (p = 0.0009 and p = 0.005, respectively), and low SUVmax was significantly associated with favorable OS (p = 0.01). CTP parameters and the best change in the tumor burden had no associations with survival. In multivariate analysis, only entropy was identified as an independent prognostic factor for OS (p = 0.02). CONCLUSION. CTTA is the optimal imaging biomarker for predicting the survival of patients with advanced NSCLC treated with antiangiogenic chemotherapy.
引用
收藏
页码:987 / 993
页数:7
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