161 related articles for article (PubMed ID: 38336821)
1. Development and validation of a clinic-radiological model to predict tumor spread through air spaces in stage I lung adenocarcinoma.
Gao Z; An P; Li R; Wu F; Sun Y; Wu J; Yang G; Wang Z
Cancer Imaging; 2024 Feb; 24(1):25. PubMed ID: 38336821
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 18F FDG-PET/CT analysis of spread through air spaces (STAS) in clinical stage I lung adenocarcinoma.
Nishimori M; Iwasa H; Miyatake K; Nitta N; Nakaji K; Matsumoto T; Yamanishi T; Yoshimatsu R; Iguchi M; Tamura M; Yamagami T
Ann Nucl Med; 2022 Oct; 36(10):897-903. PubMed ID: 35829825
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Multivariate analysis based on the maximum standard unit value of
Wang Y; Lyu D; Zhou T; Tu W; Fan L; Liu S
Diagn Interv Radiol; 2023 Mar; 29(2):379-389. PubMed ID: 36988049
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. Differential Impact of Spread Through Air Spaces on Subtypes of Early-stage Lung Cancer.
Cimenoglu B; Dogruyol T; Buz M; Gecmen G; Kahraman S; Demirhan R
J Coll Physicians Surg Pak; 2023 Jul; 33(7):765-769. PubMed ID: 37401217
[TBL] [Abstract][Full Text] [Related]
10. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Invasive mucinous adenocarcinoma of the lung: clinicopathological features,
Sun X; Zeng B; Tan X; Chen Z; Pan X; Jiang L
Ann Nucl Med; 2023 Mar; 37(3):198-207. PubMed ID: 36538165
[TBL] [Abstract][Full Text] [Related]
13. CT-Based Deep-Learning Model for Spread-Through-Air-Spaces Prediction in Ground Glass-Predominant Lung Adenocarcinoma.
Lin MW; Chen LW; Yang SM; Hsieh MS; Ou DX; Lee YH; Chen JS; Chang YC; Chen CM
Ann Surg Oncol; 2024 Mar; 31(3):1536-1545. PubMed ID: 37957504
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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.
Falay O; Selçukbiricik F; Tanju S; Erus S; Kapdağli M; Cesur E; Yavuz Ö; Bulutay P; Firat P; Mandel NM; Dilege Ş
Nucl Med Commun; 2021 Aug; 42(8):922-927. PubMed ID: 33795612
[TBL] [Abstract][Full Text] [Related]
16. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
[TBL] [Abstract][Full Text] [Related]
17. Spread through air spaces is a powerful prognostic predictor in patients with completely resected pathological stage I lung adenocarcinoma.
Shimomura M; Miyagawa-Hayashino A; Omatsu I; Asai Y; Ishihara S; Okada S; Konishi E; Teramukai S; Inoue M
Lung Cancer; 2022 Dec; 174():165-171. PubMed ID: 36413883
[TBL] [Abstract][Full Text] [Related]
18. Prediction of high-grade patterns of stage IA lung invasive adenocarcinoma based on high-resolution CT features: a bicentric study.
Dong H; Yin LK; Qiu YG; Wang XB; Yang JJ; Lou CC; Ye XD
Eur Radiol; 2023 Jun; 33(6):3931-3940. PubMed ID: 36600124
[TBL] [Abstract][Full Text] [Related]
19. Utility of Maximum Standard Uptake Value as a Predictor for Differentiating the Invasiveness of T1 Stage Pulmonary Adenocarcinoma.
Fu L; Alam MS; Ren Y; Guan W; Wu H; Wang Q; Han Y; Zhou W; Li H; Wang Z
Clin Lung Cancer; 2018 May; 19(3):221-229. PubMed ID: 29275041
[TBL] [Abstract][Full Text] [Related]
20. The value of preoperative positron emission tomography/computed tomography in differentiating the invasive degree of hypometabolic lung adenocarcinoma.
Su Y; Zhou H; Huang W; Li L; Wang J
BMC Med Imaging; 2023 Feb; 23(1):31. PubMed ID: 36765284
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
