摘要
目的:探讨CT定量多参数评价GGN性质临床价值。方法:回顾性分析79例(其中男性29例,年龄27~80岁)表现为单纯磨玻璃密度(pGGO)或混合磨玻璃密度(mGGO)的肺结节的超高分辨率CT。利用人工智能检测并分析肺结节定量参数,分别与病理及随访结果对照。结果:病灶长径、短径、最大截面积和体积的定量测量值在病理证实为恶性的磨玻璃密度结节和随访稳定的磨玻璃密度结节有显著差异,P值分别为0.002,0.004,0.002和0.014。而最大CT值、最小CT值、平均CT值、CT值偏度、CT值峰度、10%CT值百分位数、20%CT值百分位数、30%CT值百分位数、40%CT值百分位数、50%CT值百分位数、60%CT值百分位数、70%CT值百分位数、80%CT值百分位数及90%CT值百分位数。在病理诊断为恶性的结节和随访无变化的肺结节组无显著差异。结论:病灶尺寸定量参数测定有助于为磨玻璃密度肺结节预测临床治疗时机。
Purpose： The purpose of this research was to analyze CT image features of ground glass opacity nodules by computer aided measurement. Methods： The CT data of 79 patients with ground glass opacities （including pure ground glass opacities and mixed ground glass opacities） were retrospectively evaluated using three dimensional computer aided software to measure quantitative parameters on ultra-high-resolution CT. The pathologic results and follow-up results were analyzed accordingly. Results： There were significant differences of size parameters （for example major axis, minor axis, major sectional area, as well as volume） between malignant ground glass opacities and lesions without change on follow-up scans, with the P value of 0.002, 0.004, 0.002 and 0.014, respectively. However, there was no significant difference of CT value parameters （for example maximum CT value, minimum CT value, average CT value, CT value skewness, CT value kurtosis, as well as 10%-90% percentage CT values） between malignant ground glass opacities and lesions without change on follow-up scans. Conclusion： Lesion size parameters, such as major axis, minor axis, major sectional area, as well as volume, are helpful to differentiate malignant ground glass opacities from lesions without change on follow-up scans.
作者
孙炎冰
陶广昱
陈群慧
叶剑定
马骁杰
叶晓丹
SUN Yan-bing;TAO Guang-yu;CHEN Qun-hui;YE Jian-ding;MA Xiao-jie;YE Xiao-dan(Department of Radiology,Shanghai Chest Hospital,Shanghai Jiaotong University;Beijing Deepwise ＆ League of PHD Technology Co.,Ltd)
出处
《中国医学计算机成像杂志》
CSCD
北大核心
2018年第5期383-387,共5页
Chinese Computed Medical Imaging
基金
上海交通大学"医工交叉研究基金" No.YG2017QN66
上海申康医院发展中心课题No.SHDC22015033
国家自然科学基金面上项目No.81571629
国家自然科学基金青年项目No.81301218
上海市卫生和计划生育委员会科研课题No.20184Y0219
上海市科学技术委员会"科技创新行动计划"高新项目No.18511102902~~
关键词
超高分辨率CT
磨玻璃密度结节
人工智能
定量分析
随访
Ultra-high-resolution computed tomography
Ground glass opacity
Artificial intelligence
Initiative analysis
Follow-up
