1 |
Zhang C, Zhang J, Xu FP, et al. Genomic landscape and immune microenvironment features of preinvasive and early invasive lung adenocarcinoma[J]. J Thorac Oncol, 2019, 14(11): 1912-1923.
|
2 |
Eguchi T, Kameda K, Lu S, et al. Lobectomy is associated with better outcomes than sublobar resection in spread through air spaces (STAS)-positive T1 lung adenocarcinoma: a propensity score-matched analysis[J]. J Thorac Oncol, 2019, 14(1): 87-98.
|
3 |
Toki MI, Harrington K, Syrigos KN. The role of spread through air spaces (STAS) in lung adenocarcinoma prognosis and therapeutic decision making[J]. Lung Cancer, 2020, 146(1): 127-133.
|
4 |
Jia M, Yu S, Gao H, et al. Spread through air spaces (STAS) in lung cancer: a multiple-perspective and update review[J]. Cancer Manag Res, 2020, 12: 2743-2752.
|
5 |
Jiang C, Luo Y, Yuan J, et al. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma[J]. Eur Radiol, 2020, 30(7): 4050-4057.
|
6 |
Li C, Jiang C, Gong J, et al. A CT-based logistic regression model to predict spread through air space in lung adenocarcinoma[J]. Quant Imaging Med Surg, 2020,10(10): 1984-1993.
|
7 |
Kim SK, Kim TJ, Chung MJ, et al. Lung adenocarcinoma: CT features associated with spread through air spaces[J]. Radiology, 2018, 289(3): 831-840.
|
8 |
姜格宁,陈 昶,朱余明,等. 上海市肺科医院磨玻璃结节早期肺腺癌的诊疗共识(第一版)[J]. 中国肺癌杂志,2018, 21(3): 147-159.
|
9 |
Lee MA, Kang J, Lee HY, et al. Spread through air spaces (STAS) in invasive mucinous adenocarcinoma of the lung: Incidence, prognostic impact, and prediction based on clinicoradiologic factors[J]. Thorac Cancer, 2020, 11(11): 3145-3154.
|
10 |
钱桂生. 肺癌不同病理类型发病率的变化情况及其原因[J/CD]. 中华肺部疾病杂志(电子版), 2011, 4(1): 1-5.
|
11 |
Ma K, Zhan C, Wang S, et al. Spread through air spaces (STAS): a new pathologic morphology in lung cancer[J]. Clin Lung Cancer, 2019, 20(2): 158-162.
|
12 |
Qiu X, Chen D, Liu Y, et al. Relationship between stromal cells and tumor spread through air spaces in lung adenocarcinoma[J]. Thorac Cancer, 2019, 10(2): 256-267.
|
13 |
Ding Q, Chen D, Wang X, et al. Characterization of lung adenocarcinoma with a cribriform component reveals its association with spread through air spaces and poor outcomes[J]. Lung Cancer, 2019, 134: 238-244.
|
14 |
Mino-Kenudson M. Significance of tumor spread through air spaces (STAS) in lung cancer from the pathologist perspective[J]. Transl Lung Cancer Res, 2020, 9(3): 847-859.
|
15 |
Falay O, Selçukbiricik F, Tanju S, et al. The prediction of spread through air spaces with preoperative 18F-FDG PET/CT in cases with primary lung adenocarcinoma, its effect on the decision for an adjuvant treatment and its prognostic role[J]. Nucl Med Commun, 2021, 30(10): 14-19.
|
16 |
Chen D, She Y, Wang T, et al. Radiomics-based prediction for tumour spread through air spaces in stage I lung adenocarcinoma using machine learning[J]. Eur J Cardiothorac Surg, 2020, 58(1): 51-58.
|
17 |
Kuhn E, Morbini P, Cancellieri A, et al. Adenocarcinoma classification:patterns and prognosis[J]. Pathologica, 2018, 110(1): 5-11.
|
18 |
Pocha K, Mock A, Rapp C, et al. Surfactant expression defines an inflamed subtype of lung adenocarcinoma brain metastases that correlates with prolonged survival[J]. Clin Cancer Res, 2020, 26(9): 2231-2243.
|
19 |
Faruki H, Mayhew GM, Serody JS, et al. Lung adenocarcinoma and squamous cell carcinoma gene expression subtypes demonstrate significant differences in tumor immune landscape[J]. J Thorac Oncol, 2017, 12(6): 943-953.
|
20 |
Park CH, Kim TH, Lee S, et al. Correlation between maximal tumor diameter of fresh pathology specimens and computed tomography images in lung adenocarcinoma[J]. PLoS One, 2019, 14(1): e0211141.
|