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FDG PET/CT 作为非小细胞肺癌诊断的治疗诊断成像。

FDG PET/CT as theranostic imaging in diagnosis of non-small cell lung cancer.

机构信息

Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy,

Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Milan, Italy.

出版信息

Front Biosci (Landmark Ed). 2017 Jun 1;22(10):1713-1723. doi: 10.2741/4567.

Abstract

Objective of this work was to evaluate the role of 18F-fluorodeoxyglucose (FDG) positron-emission tomography features as theranostic imaging biomarkers in non-small cell lung cancer. In a retrospective protocol, 31 stage I-III NSCLC patients were enrolled. Patients underwent FDG PET/CT for staging purposes before surgery and were followed for two years after surgery. PET images were quantitatively analyzed. For the primary lesion, metabolic tumour volume, maximum standardized uptake value (SUV), SUV corrected for partial volume effect, total lesion glycolysis, 14 histogram and four shape-and-size features were extracted as PET imaging features. PET features were correlated with histology and 2-year disease-free survival (DFS). Significant correlations were found between grading, T parameter, N status, pathological stage and different FDG PET features. Histogram-based features "energy" and "kurtosis" resulted to be predictive for DFS. The cut-off value identified for "kurtosis" was able to separate the adenocarcinoma patients with different outcomes. FDG PET features are able to characterize lung cancer lesions, suggesting the possibility of reliable "imaging biopsy", and have a predictive role in adenocarcinoma patients undergoing surgery.

摘要

本研究旨在评估 18F-氟脱氧葡萄糖(FDG)正电子发射断层扫描(PET)特征作为非小细胞肺癌(NSCLC)治疗诊断成像生物标志物的作用。在一项回顾性方案中,纳入了 31 名 I-III 期 NSCLC 患者。患者在手术前进行 FDG PET/CT 分期,并在手术后两年内进行随访。对 PET 图像进行定量分析。对原发性病变,提取代谢肿瘤体积、最大标准化摄取值(SUV)、部分容积校正 SUV、总肿瘤糖酵解、14 个直方图和 4 个形状和大小特征作为 PET 成像特征。将 PET 特征与组织学和 2 年无病生存(DFS)进行相关性分析。在分级、T 分期、N 分期、病理分期和不同 FDG PET 特征之间发现了显著相关性。基于直方图的特征“能量”和“峰度”对 DFS 具有预测作用。为“峰度”确定的截断值能够区分不同结局的腺癌患者。FDG PET 特征能够对肺癌病变进行特征描述,提示进行可靠的“影像活检”的可能性,并对接受手术的腺癌患者具有预测作用。

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