The solid component within part-solid nodules: 3-dimensional quantification, correlation with the malignant grade of nonmucinous pulmonary adenocarcinomas, and comparisons with 2-dimentional measures and semantic features in low-dose computed tomography

被引：5
|
作者：
Liu, Jieke [1 ]
Xie, Chaolian [1 ]
Li, Yong [1 ]
Xu, Hao [1 ]
He, Changjiu [1 ]
Qing, Haomiao [1 ]
Zhou, Peng [1 ]
机构：
[1] Univ Elect Sci & Technol China, Dept Radiol, Sichuan Clin Res Ctr Canc, Sichuan Canc Hosp & Inst,Sichuan Canc Ctr,Affiliat, Chengdu, Peoples R China
来源：
CANCER IMAGING | 2023年 / 23卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Part-solid nodule; Pulmonary adenocarcinoma; Solid component; Malignant grade; Low-dose computed tomography; LUNG-CANCER; GROUND-GLASS; INTERNATIONAL ASSOCIATION; INVASIVE ADENOCARCINOMA; SUBSOLID NODULES; CT; CLASSIFICATION; PERFORMANCE; PROGNOSIS; PATHOLOGY;
D O I：
10.1186/s40644-023-00577-4
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
BackgroundThere is no consensus on 3-dimensional (3D) quantification method for solid component within part-solid nodules (PSNs). This study aimed to find the optimal attenuation threshold for the 3D solid component proportion in low-dose computed tomography (LDCT), namely the consolidation/tumor ratio of volume (CTRV), basing on its correlation with the malignant grade of nonmucinous pulmonary adenocarcinomas (PAs) according to the 5th edition of World Health Organization classification. Then we tested the ability of CTRV to predict high-risk nonmucinous PAs in PSNs, and compare its performance with 2-dimensional (2D) measures and semantic features.MethodsA total of 313 consecutive patients with 326 PSNs, who underwent LDCT within one month before surgery and were pathologically diagnosed with nonmucinous PAs, were retrospectively enrolled and were divided into training and testing cohorts according to scanners. The CTRV were automatically generated by setting a series of attenuation thresholds from - 400 to 50 HU with an interval of 50 HU. The Spearman's correlation was used to evaluate the correlation between the malignant grade of nonmucinous PAs and semantic, 2D, and 3D features in the training cohort. The semantic, 2D, and 3D models to predict high-risk nonmucinous PAs were constructed using multivariable logistic regression and validated in the testing cohort. The diagnostic performance of these models was evaluated by the area under curve (AUC) of receiver operating characteristic curve.ResultsThe CTRV at attenuation threshold of -250 HU (CTRV- 250HU) showed the highest correlation coefficient among all attenuation thresholds (r = 0.655, P < 0.001), which was significantly higher than semantic, 2D, and other 3D features (all P < 0.001). The AUCs of CTRV- 250HU to predict high-risk nonmucinous PAs were 0.890 (0.843-0.927) in the training cohort and 0.832 (0.737-0.904) in the testing cohort, which outperformed 2D and semantic models (all P < 0.05).ConclusionsThe optimal attenuation threshold was - 250 HU for solid component volumetry in LDCT, and the derived CTRV- 250HU might be valuable for the risk stratification and management of PSNs in lung cancer screening.
引用
收藏
页数：11
相关论文
共 2 条
  • [1] The solid component within part-solid nodules: 3-dimensional quantification, correlation with the malignant grade of nonmucinous pulmonary adenocarcinomas, and comparisons with 2-dimentional measures and semantic features in low-dose computed tomography
    Jieke Liu
    Chaolian Xie
    Yong Li
    Hao Xu
    Changjiu He
    Haomiao Qing
    Peng Zhou
    Cancer Imaging, 23
  • [2] Solid, Part-Solid, or Non-Solid? Classification of Pulmonary Nodules in Low-Dose Chest Computed Tomography by a Computer-Aided Diagnosis System
    Jacobs, Colin
    van Rikxoort, Eva M.
    Scholten, Ernst Th.
    de Jong, Pim A.
    Prokop, Mathias
    Schaefer-Prokop, Cornelia
    van Ginneken, Bram
    INVESTIGATIVE RADIOLOGY, 2015, 50 (03) : 168 - 173
1