These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
217 related articles for article (PubMed ID: 33282351)
1. Predictive value of radiological features on spread through air space in stage cIA lung adenocarcinoma. Zhang Z; Liu Z; Feng H; Xiao F; Shao W; Liang C; Sun H; Gu X; Liu D J Thorac Dis; 2020 Nov; 12(11):6494-6504. PubMed ID: 33282351 [TBL] [Abstract][Full Text] [Related]
2. Clinicopathological and CT features of tumor spread through air space in invasive lung adenocarcinoma. Qin L; Sun Y; Zhu R; Hu B; Wu J Front Oncol; 2022; 12():959113. PubMed ID: 36212429 [TBL] [Abstract][Full Text] [Related]
3. Predictive value of CT and Li H; Li L; Liu Y; Deng Y; Zhu Y; Huang L; Long T; Zeng L; Shu Y; Peng D BMC Cancer; 2024 Apr; 24(1):434. PubMed ID: 38589832 [TBL] [Abstract][Full Text] [Related]
4. Preliminary exploration of the correlation between spectral computed tomography quantitative parameters and spread through air spaces in lung adenocarcinoma. Song H; Cui S; Zhang L; Lou H; Yang K; Yu H; Lin J Quant Imaging Med Surg; 2024 Jan; 14(1):386-396. PubMed ID: 38223127 [TBL] [Abstract][Full Text] [Related]
5. Preoperative nomogram for predicting spread through air spaces in clinical-stage IA non-small cell lung cancer using Wang Y; Lyu D; Cheng C; Zhou T; Tu W; Xiao Y; Zuo C; Fan L; Liu S J Cancer Res Clin Oncol; 2024 Apr; 150(4):185. PubMed ID: 38598007 [TBL] [Abstract][Full Text] [Related]
6. Development and validation of a CT-based nomogram to predict spread through air space (STAS) in peripheral stage IA lung adenocarcinoma. Chen Y; Jiang C; Kang W; Gong J; Luo D; You S; Cheng Z; Luo Y; Wu K Jpn J Radiol; 2022 Jun; 40(6):586-594. PubMed ID: 35079955 [TBL] [Abstract][Full Text] [Related]
7. Predictors of CT Morphologic Features to Identify Spread Through Air Spaces Preoperatively in Small-Sized Lung Adenocarcinoma. Qi L; Xue K; Cai Y; Lu J; Li X; Li M Front Oncol; 2020; 10():548430. PubMed ID: 33505903 [TBL] [Abstract][Full Text] [Related]
8. A CT-based logistic regression model to predict spread through air space in lung adenocarcinoma. Li C; Jiang C; Gong J; Wu X; Luo Y; Sun G Quant Imaging Med Surg; 2020 Oct; 10(10):1984-1993. PubMed ID: 33014730 [TBL] [Abstract][Full Text] [Related]
9. Computed tomography features of resected lung adenocarcinomas with spread through air spaces. Toyokawa G; Yamada Y; Tagawa T; Kamitani T; Yamasaki Y; Shimokawa M; Oda Y; Maehara Y J Thorac Cardiovasc Surg; 2018 Oct; 156(4):1670-1676.e4. PubMed ID: 29961590 [TBL] [Abstract][Full Text] [Related]
10. Prognostic significance of tumor spread through air spaces in patients with stage IA part-solid lung adenocarcinoma after sublobar resection. Chae M; Jeon JH; Chung JH; Lee SY; Hwang WJ; Jung W; Hwang Y; Cho S; Kim K; Jheon S Lung Cancer; 2021 Feb; 152():21-26. PubMed ID: 33338924 [TBL] [Abstract][Full Text] [Related]
11. Lung Adenocarcinoma: CT Features Associated with Spread through Air Spaces. Kim SK; Kim TJ; Chung MJ; Kim TS; Lee KS; Zo JI; Shim YM Radiology; 2018 Dec; 289(3):831-840. PubMed ID: 30179108 [TBL] [Abstract][Full Text] [Related]
12. Mean computed tomography value to predict spread through air spaces in clinical N0 lung adenocarcinoma. Yamamoto M; Tamura M; Miyazaki R; Okada H; Wada N; Toi M; Murakami I J Cardiothorac Surg; 2024 Apr; 19(1):260. PubMed ID: 38654352 [TBL] [Abstract][Full Text] [Related]
13. Does dual-layer spectral detector CT provide added value in predicting spread through air spaces in lung adenocarcinoma? A preliminary study. Liu BC; Ma HY; Huang J; Luo YW; Zhang WB; Deng WW; Liao YT; Xie CM; Li Q Eur Radiol; 2024 Jun; 34(6):4176-4186. PubMed ID: 37973632 [TBL] [Abstract][Full Text] [Related]
14. A validated model to predict spread through air space in lung adenocarcinoma. Zheng Y; Han X; Li H; Luo Q; Ding C; Zhang K; Fan J; Zeng W; Shi H J Thorac Dis; 2024 Apr; 16(4):2296-2313. PubMed ID: 38738222 [TBL] [Abstract][Full Text] [Related]
15. The correlation between tumor radiological features and spread through air spaces in peripheral stage IA lung adenocarcinoma: a propensity score-matched analysis. Jia C; Jiang HC; Liu C; Wang YF; Zhao HY; Wang Q; Xue XQ; Li XF J Cardiothorac Surg; 2024 Jan; 19(1):19. PubMed ID: 38263158 [TBL] [Abstract][Full Text] [Related]
16. Stepwise flowchart for decision making on sublobar resection through the estimation of spread through air space in early stage lung cancer Suh JW; Jeong YH; Cho A; Kim DJ; Chung KY; Shim HS; Lee CY Lung Cancer; 2020 Apr; 142():28-33. PubMed ID: 32065918 [TBL] [Abstract][Full Text] [Related]
17. Construction of Pulmonary Nodule CT Radiomics Random Forest Model Based on Artificial Intelligence Software for STAS Evaluation of Stage IA Lung Adenocarcinoma. Liu Q; Qi W; Wu Y; Zhou Y; Huang Z Comput Math Methods Med; 2022; 2022():2173412. PubMed ID: 36072773 [TBL] [Abstract][Full Text] [Related]
18. Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter study. Wang Y; Lyu D; Zhang D; Hu L; Wu J; Tu W; Xiao Y; Fan L; Liu S Diagn Interv Radiol; 2023 Nov; 29(6):771-785. PubMed ID: 37724737 [TBL] [Abstract][Full Text] [Related]
19. An individualized nomogram for predicting and validating spread through air space (STAS) in surgically resected lung adenocarcinoma: a single center retrospective analysis. Wang J; Yao Y; Tang D; Gao W J Cardiothorac Surg; 2023 Nov; 18(1):337. PubMed ID: 37990253 [TBL] [Abstract][Full Text] [Related]
20. Meta-analysis of association between CT-based features and tumor spread through air spaces in lung adenocarcinoma. Yin Q; Wang H; Cui H; Wang W; Yang G; Qie P; Xun X; Han S; Liu H J Cardiothorac Surg; 2020 Sep; 15(1):243. PubMed ID: 32912289 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]