438 related articles for article (PubMed ID: 32537436)
1. CT-Imaging Based Analysis of Invasive Lung Adenocarcinoma Presenting as Ground Glass Nodules Using Peri- and Intra-nodular Radiomic Features.
Wu L; Gao C; Xiang P; Zheng S; Pang P; Xu M
Front Oncol; 2020; 10():838. PubMed ID: 32537436
[No Abstract] [Full Text] [Related]
2. A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules.
Zhu M; Yang Z; Wang M; Zhao W; Zhu Q; Shi W; Yu H; Liang Z; Chen L
Respir Res; 2022 Apr; 23(1):96. PubMed ID: 35429974
[TBL] [Abstract][Full Text] [Related]
3. Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact.
Jiang Y; Che S; Ma S; Liu X; Guo Y; Liu A; Li G; Li Z
Cancer Imaging; 2021 Jan; 21(1):1. PubMed ID: 33407884
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Predicting Ki-67 labeling index level in early-stage lung adenocarcinomas manifesting as ground-glass opacity nodules using intra-nodular and peri-nodular radiomic features.
Zhu M; Yang Z; Zhao W; Wang M; Shi W; Cheng Z; Ye C; Zhu Q; Liu L; Liang Z; Chen L
Cancer Med; 2022 Nov; 11(21):3982-3992. PubMed ID: 35332684
[TBL] [Abstract][Full Text] [Related]
6. The value of various peritumoral radiomic features in differentiating the invasiveness of adenocarcinoma manifesting as ground-glass nodules.
Wu L; Gao C; Ye J; Tao J; Wang N; Pang P; Xiang P; Xu M
Eur Radiol; 2021 Dec; 31(12):9030-9037. PubMed ID: 34037830
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis.
Gong J; Liu J; Hao W; Nie S; Wang S; Peng W
Phys Med Biol; 2019 Jul; 64(13):135015. PubMed ID: 31167172
[TBL] [Abstract][Full Text] [Related]
8. A comparative study for the evaluation of CT-based conventional, radiomic, combined conventional and radiomic, and delta-radiomic features, and the prediction of the invasiveness of lung adenocarcinoma manifesting as ground-glass nodules.
Lv Y; Ye J; Yin YL; Ling J; Pan XP
Clin Radiol; 2022 Oct; 77(10):e741-e748. PubMed ID: 35840455
[TBL] [Abstract][Full Text] [Related]
9. A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis.
Yu Z; Xu C; Zhang Y; Ji F
BMC Med Imaging; 2022 Jul; 22(1):133. PubMed ID: 35896975
[TBL] [Abstract][Full Text] [Related]
10. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
[TBL] [Abstract][Full Text] [Related]
11. Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma
Shi L; Shi W; Peng X; Zhan Y; Zhou L; Wang Y; Feng M; Zhao J; Shan F; Liu L
Front Oncol; 2021; 11():618677. PubMed ID: 33968722
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules.
She Y; Zhang L; Zhu H; Dai C; Xie D; Xie H; Zhang W; Zhao L; Zou L; Fei K; Sun X; Chen C
Eur Radiol; 2018 Dec; 28(12):5121-5128. PubMed ID: 29869172
[TBL] [Abstract][Full Text] [Related]
14. Predicting the Ki-67 proliferation index in pulmonary adenocarcinoma patients presenting with subsolid nodules: construction of a nomogram based on CT images.
Yan J; Xue X; Gao C; Guo Y; Wu L; Zhou C; Chen F; Xu M
Quant Imaging Med Surg; 2022 Jan; 12(1):642-652. PubMed ID: 34993108
[TBL] [Abstract][Full Text] [Related]
15. Radiomics for differentiating minimally invasive adenocarcinoma from precursor lesions in pure ground-glass opacities on chest computed tomography.
Zhu YQ; Liu C; Mo Y; Dong H; Huang C; Duan YN; Tang LL; Chu YY; Qin J
Br J Radiol; 2022 Jun; 95(1134):20210768. PubMed ID: 35262392
[TBL] [Abstract][Full Text] [Related]
16. Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules.
Chen W; Li M; Mao D; Ge X; Wang J; Tan M; Ma W; Huang X; Lu J; Li C; Hua Y; Wu H
Sci Rep; 2021 Feb; 11(1):3633. PubMed ID: 33574448
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules.
Zhao W; Xu Y; Yang Z; Sun Y; Li C; Jin L; Gao P; He W; Wang P; Shi H; Hua Y; Li M
Eur J Radiol; 2019 Mar; 112():161-168. PubMed ID: 30777206
[TBL] [Abstract][Full Text] [Related]
20. A delta-radiomics model for preoperative prediction of invasive lung adenocarcinomas manifesting as radiological part-solid nodules.
Chen W; Wang R; Ma Z; Hua Y; Mao D; Wu H; Yang Y; Li C; Li M
Front Oncol; 2022; 12():927974. PubMed ID: 36465372
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
