207 related articles for article (PubMed ID: 36465372)
1. 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]
2. 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]
3. A radiomics nomogram for invasiveness prediction in lung adenocarcinoma manifesting as part-solid nodules with solid components smaller than 6 mm.
Zhang T; Zhang C; Zhong Y; Sun Y; Wang H; Li H; Yang G; Zhu Q; Yuan M
Front Oncol; 2022; 12():900049. PubMed ID: 36033463
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. Development and validation of a preoperative CT‑based radiomics nomogram to differentiate tuberculosis granulomas from lung adenocarcinomas: an external validation study.
Yang L; Jiang Z; Tong J; Li N; Dong Q; Wang K
BMC Cancer; 2024 Jun; 24(1):670. PubMed ID: 38824514
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma.
Tong Y; Li J; Chen J; Hu C; Xu Z; Duan S; Wang X; Yu R; Cheng X
Front Oncol; 2022; 12():865548. PubMed ID: 35912185
[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. Artificial-intelligence-based computed tomography histogram analysis predicting tumor invasiveness of lung adenocarcinomas manifesting as radiological part-solid nodules.
Gao J; Qi Q; Li H; Wang Z; Sun Z; Cheng S; Yu J; Zeng Y; Hong N; Wang D; Wang H; Yang F; Li X; Li Y
Front Oncol; 2023; 13():1096453. PubMed ID: 36910632
[TBL] [Abstract][Full Text] [Related]
12. A radiomics nomogram based on contrast-enhanced CT for preoperative prediction of Lymphovascular invasion in esophageal squamous cell carcinoma.
Wang Y; Bai G; Huang W; Zhang H; Chen W
Front Oncol; 2023; 13():1208756. PubMed ID: 37465108
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. A CT-Based Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Periampullary Carcinomas.
Bi L; Liu Y; Xu J; Wang X; Zhang T; Li K; Duan M; Huang C; Meng X; Huang Z
Front Oncol; 2021; 11():632176. PubMed ID: 34395237
[TBL] [Abstract][Full Text] [Related]
15. A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules.
Chen X; Feng B; Chen Y; Liu K; Li K; Duan X; Hao Y; Cui E; Liu Z; Zhang C; Long W; Liu X
Cancer Imaging; 2020 Jul; 20(1):45. PubMed ID: 32641166
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients.
Li Q; Song Z; Zhang D; Li X; Liu Q; Yu J; Li Z; Zhang J; Ren X; Wen Y; Tang Z
Front Oncol; 2022; 12():992906. PubMed ID: 36276058
[TBL] [Abstract][Full Text] [Related]
18. Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules.
Meng F; Guo Y; Li M; Lu X; Wang S; Zhang L; Zhang H
Transl Oncol; 2021 Jan; 14(1):100936. PubMed ID: 33221688
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma.
Lin P; Yang PF; Chen S; Shao YY; Xu L; Wu Y; Teng W; Zhou XZ; Li BH; Luo C; Xu LM; Huang M; Niu TY; Ye ZM
Cancer Imaging; 2020 Jan; 20(1):7. PubMed ID: 31937372
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
