Department of Engineering, Università degli Studi di Perugia, Via G. Duranti 93, 06125, Perugia, Italy.
Section of Radiation Oncology, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, Piazza Lucio Severi 1, 06132, Perugia, Italy.
Mol Imaging Biol. 2019 Dec;21(6):1200-1209. doi: 10.1007/s11307-019-01336-3.
The study aims to investigate the correlations between positron emission tomography (PET) texture features, X-ray computed tomography (CT) texture features, and histological subtypes in non-small-cell lung cancer evaluated with 2-deoxy-2-[F]fluoro-D-glucose PET/CT.
We retrospectively evaluated the baseline PET/CT scans of 81 patients with histologically proven non-small-cell lung cancer. Feature extraction and statistical analysis were carried out on the Matlab platform (MathWorks, Natick, USA).
Intra-CT correlation analysis revealed a strong positive correlation between volume of the lesion (CT) and maximum density (CT), and between kurtosis (CT) and maximum density (CT). A moderate positive correlation was found between volume (CT) and average density (CT), and between kurtosis (CT) and average density (CT). Intra-PET analysis identified a strong positive correlation between the radiotracer uptake (SUV, SUV) and its degree of variability/disorder throughout the lesion (SUV, SUV). Conversely, there was a strong negative correlation between the uptake (SUV, SUV) and its degree of uniformity (SUV). There was a positive moderate correlation between the metabolic tumor volume (MTV) and radiotracer uptake (SUV, SUV). Inter (PET-CT) correlation analysis identified a very strong positive correlation between the volume of the lesion at CT (CT) and the metabolic volume (MTV), a moderate positive correlation between average tissue density (CT) and radiotracer uptake (SUV, SUV), and between kurtosis at CT (CT) and metabolic tumor volume (MTV). Squamous cell carcinomas had larger volume higher uptake, stronger PET variability and lower uniformity than the other subtypes. By contrast, adenocarcinomas exhibited significantly lower uptake, lower variability and higher uniformity than the other subtypes.
Significant associations emerged between PET features, CT features, and histological type in NSCLC. Texture analysis on PET/CT shows potential to differentiate between histological types in patients with non-small-cell lung cancer.
本研究旨在探讨正电子发射断层扫描（PET）纹理特征、X 射线计算机断层扫描（CT）纹理特征与 2-脱氧-2-[F]氟-D-葡萄糖 PET/CT 评估的非小细胞肺癌组织学亚型之间的相关性。
我们对 81 例经组织学证实的非小细胞肺癌患者的基线 PET/CT 扫描进行了回顾性评估。特征提取和统计分析在 Matlab 平台（MathWorks，美国纳提克）上进行。
CT 内相关性分析显示病变体积（CT）与最大密度（CT）之间、峰度（CT）与最大密度（CT）之间呈强正相关，病变体积（CT）与平均密度（CT）之间、峰度（CT）与平均密度（CT）之间呈中度正相关。PET 内分析发现示踪剂摄取（SUV，SUV）与其在病变内的变异性/紊乱程度（SUV，SUV）之间存在强正相关。相反，摄取（SUV，SUV）与其均匀度（SUV）之间存在强负相关。代谢肿瘤体积（MTV）与摄取（SUV，SUV）之间呈正相关。（PET-CT）间相关性分析显示 CT 上病变体积（CT）与代谢体积（MTV）之间存在很强的正相关，CT 上平均组织密度（CT）与摄取（SUV，SUV）之间以及 CT 上峰度（CT）与代谢肿瘤体积（MTV）之间存在中度正相关。与其他亚型相比，鳞状细胞癌的体积更大、摄取量更高、PET 变异性更强、均匀性更低。相比之下，腺癌与其他亚型相比，摄取量明显更低、变异性更低、均匀性更高。
在非小细胞肺癌中，PET 特征、CT 特征和组织学类型之间存在显著关联。PET/CT 的纹理分析有可能区分非小细胞肺癌患者的组织学类型。
