2891 related articles for article (PubMed ID: 32125097)
1. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Differentiating minimally invasive and invasive adenocarcinomas in patients with solitary sub-solid pulmonary nodules with a radiomics nomogram.
Feng B; Chen X; Chen Y; Li Z; Hao Y; Zhang C; Li R; Liao Y; Zhang X; Huang Y; Long W
Clin Radiol; 2019 Jul; 74(7):570.e1-570.e11. PubMed ID: 31056198
[TBL] [Abstract][Full Text] [Related]
4. Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule.
Feng B; Chen X; Chen Y; Liu K; Li K; Liu X; Yao N; Li Z; Li R; Zhang C; Ji J; Long W
Eur J Radiol; 2020 Jul; 128():109022. PubMed ID: 32371184
[TBL] [Abstract][Full Text] [Related]
5. Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
Wu G; Woodruff HC; Sanduleanu S; Refaee T; Jochems A; Leijenaar R; Gietema H; Shen J; Wang R; Xiong J; Bian J; Wu J; Lambin P
Eur Radiol; 2020 May; 30(5):2680-2691. PubMed ID: 32006165
[TBL] [Abstract][Full Text] [Related]
6. A wavelet features derived radiomics nomogram for prediction of malignant and benign early-stage lung nodules.
Jing R; Wang J; Li J; Wang X; Li B; Xue F; Shao G; Xue H
Sci Rep; 2021 Nov; 11(1):22330. PubMed ID: 34785692
[TBL] [Abstract][Full Text] [Related]
7. A predictive nomogram for two-year growth of CT-indeterminate small pulmonary nodules.
Xue LM; Li Y; Zhang Y; Wang SC; Zhang RY; Ye JD; Yu H; Qiang JW
Eur Radiol; 2022 Apr; 32(4):2672-2682. PubMed ID: 34677668
[TBL] [Abstract][Full Text] [Related]
8. A clinical-radiomics nomogram for the preoperative prediction of lung metastasis in colorectal cancer patients with indeterminate pulmonary nodules.
Hu T; Wang S; Huang L; Wang J; Shi D; Li Y; Tong T; Peng W
Eur Radiol; 2019 Jan; 29(1):439-449. PubMed ID: 29948074
[TBL] [Abstract][Full Text] [Related]
9. Establishment and verification of a prediction model based on clinical characteristics and computed tomography radiomics parameters for distinguishing benign and malignant pulmonary nodules.
Hou X; Wu M; Chen J; Zhang R; Wang Y; Zhang S; Yuan Z; Feng J; Xu L
J Thorac Dis; 2024 Mar; 16(3):1984-1995. PubMed ID: 38617763
[TBL] [Abstract][Full Text] [Related]
10. Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.
Feng B; Chen X; Chen Y; Lu S; Liu K; Li K; Liu Z; Hao Y; Li Z; Zhu Z; Yao N; Liang G; Zhang J; Long W; Liu X
Eur Radiol; 2020 Dec; 30(12):6497-6507. PubMed ID: 32594210
[TBL] [Abstract][Full Text] [Related]
11. Establishment of a Predictive Model for Surgical Resection of Ground-Glass Nodules.
Liu CL; Zhang F; Cai Q; Shen YY; Chen SQ
J Am Coll Radiol; 2019 Apr; 16(4 Pt A):435-445. PubMed ID: 30466899
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Radiomics nomogram for differentiating between benign and malignant soft-tissue masses of the extremities.
Wang H; Nie P; Wang Y; Xu W; Duan S; Chen H; Hao D; Liu J
J Magn Reson Imaging; 2020 Jan; 51(1):155-163. PubMed ID: 31169956
[TBL] [Abstract][Full Text] [Related]
14. Radiomics nomogram analysis of T2-fBLADE-TSE in pulmonary nodules evaluation.
Yang S; Wang Y; Shi Y; Yang G; Yan Q; Shen J; Wang Q; Zhang H; Yang S; Shan F; Zhang Z
Magn Reson Imaging; 2022 Jan; 85():80-86. PubMed ID: 34666158
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of Radiomics Models Based on Computed Tomography for Distinguishing Between Benign and Malignant Thyroid Nodules.
Kong D; Zhang J; Shan W; Duan S; Guo L
J Comput Assist Tomogr; 2022 Nov-Dec 01; 46(6):978-985. PubMed ID: 35759774
[TBL] [Abstract][Full Text] [Related]
16. Quantifying invasiveness of clinical stage IA lung adenocarcinoma with computed tomography texture features.
Qiu ZB; Zhang C; Chu XP; Cai FY; Yang XN; Wu YL; Zhong WZ
J Thorac Cardiovasc Surg; 2022 Mar; 163(3):805-815.e3. PubMed ID: 33541730
[TBL] [Abstract][Full Text] [Related]
17. External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis.
Garau N; Paganelli C; Summers P; Choi W; Alam S; Lu W; Fanciullo C; Bellomi M; Baroni G; Rampinelli C
Med Phys; 2020 Sep; 47(9):4125-4136. PubMed ID: 32488865
[TBL] [Abstract][Full Text] [Related]
18. Integration of PET/CT Radiomics and Semantic Features for Differentiation between Active Pulmonary Tuberculosis and Lung Cancer.
Du D; Gu J; Chen X; Lv W; Feng Q; Rahmim A; Wu H; Lu L
Mol Imaging Biol; 2021 Apr; 23(2):287-298. PubMed ID: 33030709
[TBL] [Abstract][Full Text] [Related]
19. Developing a multi-institutional nomogram for assessing lung cancer risk in patients with 5-30 mm pulmonary nodules: a retrospective analysis.
Jiang Y; Deng T; Huang Y; Ren B; He L; Pang M; Jiang L
PeerJ; 2023; 11():e16539. PubMed ID: 38107565
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
