Dependence of radiomic features on pixel size affects the diagnostic performance of radiomic signature for the invasiveness of pulmonary ground-glass nodule
Dependence of radiomic features on pixel size affects the diagnostic performance of radiomic signature for the invasiveness of pulmonary ground-glass nodule
复制标题
放射组学特征对像素大小的依赖性影响肺部毛玻璃结节侵袭性放射组学特征的诊断性能
DOI：
10.1259/bjr.20200089
复制
发表时间：
2021-01-01
影响因子：
2.6
通讯作者：
Yu, Hong
中科院分区：
文献类型：
--
作者：
Tao, Guangyu;Yin, Lekang;Yu, Hong
目的：目的：探讨降低像素大小对肺磨玻璃样结节（GGNs）CT影像学特征一致性及下游影像学特征对GGNs侵袭性诊断的影响。方法：回顾性分析182例经高分辨率CT（HRCT）确诊的GGNs患者的临床资料。采用3种视野和矩阵大小组合对HRCT扫描图像进行重建，获得不同像素大小（0.8mm、0.4mm、0.18mm）的CT图像。对于每个像素大小设置，放射组学特征提取的所有GGNs和放射组学签名的侵袭性GGNs通过两个建模pipelines建立比较。结果：该研究最终提取了788放射组学特征。87%的放射组学特征表现出像素间的大小变化。无论采用哪种建模管道，小像素尺寸下的放射组学特征在预测GGN的侵袭性方面均显著优于中等或大像素尺寸下的放射组学特征（p值
Objective: To investigate the effect of reducing pixel size on the consistency of radiomic features and the diagnostic performance of the downstream radiomic signatures for the invasiveness for pulmonary ground-glass nodules (GGNs) on CTs.Methods: We retrospectively collected the clinical data of 182 patients with GGNs on high resolution CT (HRCT). The CT images of different pixel sizes (0.8mm, 0.4mm, 0.18 mm) were obtained by reconstructing the single HRCT scan using three combinations of field of view and matrix size. For each pixel size setting, radiomic features were extracted for all GGNs and radiomic signatures for the invasiveness of GGNs were built through two modeling pipelines for comparison.Results: The study finally extracted 788 radiomic features. 87% radiomic features demonstrated inter pixel size variation. By either modeling pipeline, the radiomic signature under small pixel size performed significantly better than those under middle or large pixel sizes in predicting the invasiveness of GGNs (p's value