325 related articles for article (PubMed ID: 32300970)
1. Differentiation of predominant subtypes of lung adenocarcinoma using a quantitative radiomics approach on CT.
Park S; Lee SM; Noh HN; Hwang HJ; Kim S; Do KH; Seo JB
Eur Radiol; 2020 Sep; 30(9):4883-4892. PubMed ID: 32300970
[TBL] [Abstract][Full Text] [Related]
2. Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
Wang X; Zhao X; Li Q; Xia W; Peng Z; Zhang R; Li Q; Jian J; Wang W; Tang Y; Liu S; Gao X
Eur Radiol; 2019 Nov; 29(11):6049-6058. PubMed ID: 30887209
[TBL] [Abstract][Full Text] [Related]
3. Prediction of solid and micropapillary components in lung invasive adenocarcinoma: radiomics analysis from high-spatial-resolution CT data with 1024 matrix.
Ninomiya K; Yanagawa M; Tsubamoto M; Sato Y; Suzuki Y; Hata A; Kikuchi N; Yoshida Y; Yamagata K; Doi S; Ogawa R; Tokuda Y; Kido S; Tomiyama N
Jpn J Radiol; 2024 Jun; 42(6):590-598. PubMed ID: 38413550
[TBL] [Abstract][Full Text] [Related]
4. Utility of CT radiomics for prediction of PD-L1 expression in advanced lung adenocarcinomas.
Yoon J; Suh YJ; Han K; Cho H; Lee HJ; Hur J; Choi BW
Thorac Cancer; 2020 Apr; 11(4):993-1004. PubMed ID: 32043309
[TBL] [Abstract][Full Text] [Related]
5. A combination of radiomic features, clinic characteristics, and serum tumor biomarkers to predict the possibility of the micropapillary/solid component of lung adenocarcinoma.
Xing X; Li L; Sun M; Zhu X; Feng Y
Ther Adv Respir Dis; 2024; 18():17534666241249168. PubMed ID: 38757628
[TBL] [Abstract][Full Text] [Related]
6. Extraction of radiomic values from lung adenocarcinoma with near-pure subtypes in the International Association for the Study of Lung Cancer/the American Thoracic Society/the European Respiratory Society (IASLC/ATS/ERS) classification.
Yang SM; Chen LW; Wang HJ; Chen LR; Lor KL; Chen YC; Lin MW; Hsieh MS; Chen JS; Chang YC; Chen CM
Lung Cancer; 2018 May; 119():56-63. PubMed ID: 29656753
[TBL] [Abstract][Full Text] [Related]
7. Feasibility of UTE-MRI-based radiomics model for prediction of histopathologic subtype of lung adenocarcinoma: in comparison with CT-based radiomics model.
Lee S; Lee CY; Kim NY; Suh YJ; Lee HJ; Yong HS; Kim HR; Kim YJ
Eur Radiol; 2024 May; 34(5):3422-3430. PubMed ID: 37840100
[TBL] [Abstract][Full Text] [Related]
8. The development and validation of a radiomic nomogram for the preoperative prediction of lung adenocarcinoma.
Liu Q; Huang Y; Chen H; Liu Y; Liang R; Zeng Q
BMC Cancer; 2020 Jun; 20(1):533. PubMed ID: 32513144
[TBL] [Abstract][Full Text] [Related]
9. A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid nodules.
Wu YJ; Liu YC; Liao CY; Tang EK; Wu FZ
Sci Rep; 2021 Jan; 11(1):66. PubMed ID: 33462251
[TBL] [Abstract][Full Text] [Related]
10. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
[TBL] [Abstract][Full Text] [Related]
11. Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics.
Choe J; Lee SM; Do KH; Kim S; Choi S; Lee JG; Seo JB
Eur Radiol; 2020 Sep; 30(9):4952-4963. PubMed ID: 32356158
[TBL] [Abstract][Full Text] [Related]
12. Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.
Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
BMC Med Imaging; 2020 Feb; 20(1):12. PubMed ID: 32024469
[TBL] [Abstract][Full Text] [Related]
13. Comparison of a radiomic biomarker with volumetric analysis for decoding tumour phenotypes of lung adenocarcinoma with different disease-specific survival.
Yuan M; Zhang YD; Pu XH; Zhong Y; Li H; Wu JF; Yu TF
Eur Radiol; 2017 Nov; 27(11):4857-4865. PubMed ID: 28523350
[TBL] [Abstract][Full Text] [Related]
14. An individualised radiomics composite model predicting prognosis of stage 1 solid lung adenocarcinoma.
Chen H; Liang M; Li X; Wu T; Zhang L; Liu X
Clin Radiol; 2020 Jul; 75(7):562.e11-562.e19. PubMed ID: 32307110
[TBL] [Abstract][Full Text] [Related]
15. Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans.
Khorrami M; Bera K; Thawani R; Rajiah P; Gupta A; Fu P; Linden P; Pennell N; Jacono F; Gilkeson RC; Velcheti V; Madabhushi A
Eur J Cancer; 2021 May; 148():146-158. PubMed ID: 33743483
[TBL] [Abstract][Full Text] [Related]
16. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer.
Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G
Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889
[TBL] [Abstract][Full Text] [Related]
17. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
[TBL] [Abstract][Full Text] [Related]
18. CT Radiomics Combined With Clinicopathological Features to Predict Invasive Mucinous Adenocarcinoma in Patients With Lung Adenocarcinoma.
Zhang J; Hao L; Li M; Xu Q; Shi G
Technol Cancer Res Treat; 2023; 22():15330338231174306. PubMed ID: 37278046
[No Abstract] [Full Text] [Related]
19. Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
Wu G; Woodruff HC; Shen J; Refaee T; Sanduleanu S; Ibrahim A; Leijenaar RTH; Wang R; Xiong J; Bian J; Wu J; Lambin P
Radiology; 2020 Nov; 297(2):451-458. PubMed ID: 32840472
[TBL] [Abstract][Full Text] [Related]
20. Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma.
Xu F; Zhu W; Shen Y; Wang J; Xu R; Qutesh C; Song L; Gan Y; Pu C; Hu H
Front Oncol; 2020; 10():872. PubMed ID: 32850301
[No Abstract] [Full Text] [Related]
[Next] [New Search]