Predicting the Invasiveness of Pulmonary Adenocarcinomas in Pure Ground-Glass Nodules Using the Nodule Diameter: A Systematic Review, Meta-Analysis, and Validation in an Independent Cohort

被引:6
作者
Liu, Jieke [1 ]
Yang, Xi [1 ]
Li, Yong [1 ]
Xu, Hao [1 ]
He, Changjiu [1 ]
Zhou, Peng [1 ]
Qing, Haomiao [1 ]
机构
[1] Univ Elect Sci & Technol China, Sichuan Canc Hosp & Inst, Affiliated Canc Hosp, Sichuan Clin Res Ctr Canc,Sichuan Canc Ctr,Dept Ra, Chengdu 610041, Peoples R China
基金
中国国家自然科学基金;
关键词
pure ground-glass nodule; invasive adenocarcinoma; diameter; computed tomography; meta-analysis; OPACITY LUNG NODULES; CANCER; CT; CLASSIFICATION; FEATURES; SECTION; TUMORS;
D O I
10.3390/diagnostics14020147
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The nodule diameter was commonly used to predict the invasiveness of pulmonary adenocarcinomas in pure ground-glass nodules (pGGNs). However, the diagnostic performance and optimal cut-off values were inconsistent. We conducted a meta-analysis to evaluate the diagnostic performance of the nodule diameter for predicting the invasiveness of pulmonary adenocarcinomas in pGGNs and validated the cut-off value of the diameter in an independent cohort. Relevant studies were searched through PubMed, MEDLINE, Embase, and the Cochrane Library, from inception until December 2022. The inclusion criteria comprised studies that evaluated the diagnostic accuracy of the nodule diameter to differentiate invasive adenocarcinomas (IAs) from non-invasive adenocarcinomas (non-IAs) in pGGNs. A bivariate mixed-effects regression model was used to obtain the diagnostic performance. Meta-regression analysis was performed to explore the heterogeneity. An independent sample of 220 pGGNs (82 IAs and 128 non-IAs) was enrolled as the validation cohort to evaluate the performance of the cut-off values. This meta-analysis finally included 16 studies and 2564 pGGNs (761 IAs and 1803 non-IAs). The pooled area under the curve, the sensitivity, and the specificity were 0.85 (95% confidence interval (CI), 0.82-0.88), 0.82 (95% CI, 0.78-0.86), and 0.73 (95% CI, 0.67-0.78). The diagnostic performance was affected by the measure of the diameter, the reconstruction matrix, and patient selection bias. Using the prespecified cut-off value of 10.4 mm for the mean diameter and 13.2 mm for the maximal diameter, the mean diameter showed higher sensitivity than the maximal diameter in the validation cohort (0.85 vs. 0.72, p < 0.01), while there was no significant difference in specificity (0.83 vs. 0.86, p = 0.13). The nodule diameter had adequate diagnostic performance in differentiating IAs from non-IAs in pGGNs and could be replicated in a validation cohort. The mean diameter with a cut-off value of 10.4 mm was recommended.
引用
收藏
页数:13
相关论文
共 59 条
  • [1] Results of the Two Incidence Screenings in the National Lung Screening Trial
    Aberle, Denise R.
    DeMello, Sarah
    Berg, Christine D.
    Black, William C.
    Brewer, Brenda
    Church, Timothy R.
    Clingan, Kathy L.
    Duan, Fenghai
    Fagerstrom, Richard M.
    Gareen, Ilana F.
    Gatsonis, Constantine A.
    Gierada, David S.
    Jain, Amanda
    Jones, Gordon C.
    Mahon, Irene
    Marcus, Pamela M.
    Rathmell, Joshua M.
    Sicks, JoRean
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2013, 369 (10) : 920 - 931
  • [2] Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
    Aberle, Denise R.
    Adams, Amanda M.
    Berg, Christine D.
    Black, William C.
    Clapp, Jonathan D.
    Fagerstrom, Richard M.
    Gareen, Ilana F.
    Gatsonis, Constantine
    Marcus, Pamela M.
    Sicks, JoRean D.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2011, 365 (05) : 395 - 409
  • [3] [Anonymous], American College of Radiology Lung CT Screening Reporting and Data System (Lung-RADS, v2022)
  • [4] Evaluation of Pulmonary Nodules Clinical Practice Consensus Guidelines for Asia
    Bai, Chunxue
    Choi, Chang-Min
    Chu, Chung Ming
    Anantham, Devanand
    Ho, James Chung-man
    Khan, Ali Zamir
    Lee, Jang-Ming
    Li, Shi Yue
    Saenghirunvattana, Sawang
    Yim, Anthony
    [J]. CHEST, 2016, 150 (04) : 877 - 893
  • [5] The International Epidemiology of Lung Cancer: Latest Trends, Disparities, and Tumor Characteristics
    Cheng, Ting-Yuan David
    Cramb, Susanna M.
    Baade, Peter D.
    Youlden, Danny R.
    Nwogu, Chukwumere
    Reid, Mary E.
    [J]. JOURNAL OF THORACIC ONCOLOGY, 2016, 11 (10) : 1653 - 1671
  • [6] ACR Lung-RADS v2022: Assessment Categories and Management Recommendations
    Christensen, Jared
    Prosper, Ashley Elizabeth
    Wu, Carol C.
    Chung, Jonathan
    Lee, Elizabeth
    Elicker, Brett
    Hunsaker, Andetta R.
    Petranovic, Milena
    Sandler, Kim L.
    Stiles, Brendon
    Mazzone, Peter
    Yankelevitz, David
    Aberle, Denise
    Chiles, Caroline
    Kazerooni, Ella
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2024, 21 (03) : 473 - 488
  • [7] CT Characteristics for Predicting Invasiveness in Pulmonary Pure Ground-Glass Nodules
    Chu, Zhi-gang
    Li, Wang-jia
    Fu, Bin-jie
    Lv, Fa-jin
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2020, 215 (02) : 351 - 358
  • [8] Can CT imaging features of ground-glass opacity predict invasiveness? A meta-analysis
    Dai, Jian
    Yu, Guoyou
    Yu, Jianqiang
    [J]. THORACIC CANCER, 2018, 9 (04) : 452 - 458
  • [9] Validation of the Novel International Association for the Study of Lung Cancer Grading System for Invasive Pulmonary Adenocarcinoma and Association With Common Driver Mutations
    Deng, Chaoqiang
    Zheng, Qiang
    Zhang, Yang
    Jin, Yan
    Shen, Xuxia
    Nie, Xiao
    Fu, Fangqiu
    Ma, Xiangyi
    Ma, Zelin
    Wen, Zhexu
    Wang, Shengping
    Li, Yuan
    Chen, Haiquan
    [J]. JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (10) : 1684 - 1693
  • [10] Value of CT Characteristics in Predicting Invasiveness of Adenocarcinoma Presented as Pulmonary Ground-Glass Nodules
    Ding, Hongdou
    Shi, Jingyun
    Zhou, Xiao
    Xie, Dong
    Song, Xiao
    Yang, Yang
    Liu, Zhongliu
    Wang, Haifeng
    [J]. THORACIC AND CARDIOVASCULAR SURGEON, 2017, 65 (02) : 136 - 141