267 related articles for article (PubMed ID: 34654966)
1. Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study.
Huang L; Lin W; Xie D; Yu Y; Cao H; Liao G; Wu S; Yao L; Wang Z; Wang M; Wang S; Wang G; Zhang D; Yao S; He Z; Cho WC; Chen D; Zhang Z; Li W; Qiao G; Chan LW; Zhou H
Eur Radiol; 2022 Mar; 32(3):1983-1996. PubMed ID: 34654966
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. CT-Based Radiomic Nomogram for the Prediction of Chronic Obstructive Pulmonary Disease in Patients with Lung cancer.
Zhou T; Tu W; Dong P; Duan S; Zhou X; Ma Y; Wang Y; Liu T; Zhang H; Feng Y; Huang W; Ge Y; Liu S; Li Z; Fan L
Acad Radiol; 2023 Dec; 30(12):2894-2903. PubMed ID: 37062629
[TBL] [Abstract][Full Text] [Related]
8. Radiomics nomogram for preoperative differentiation of pulmonary mucinous adenocarcinoma from tuberculoma in solitary pulmonary solid nodules.
Zhang J; Hao L; Qi M; Xu Q; Zhang N; Feng H; Shi G
BMC Cancer; 2023 Mar; 23(1):261. PubMed ID: 36944978
[TBL] [Abstract][Full Text] [Related]
9. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A radiomics model for determining the invasiveness of solitary pulmonary nodules that manifest as part-solid nodules.
Weng Q; Zhou L; Wang H; Hui J; Chen M; Pang P; Zheng L; Xu M; Wang Z; Ji J
Clin Radiol; 2019 Dec; 74(12):933-943. PubMed ID: 31521324
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
14. Initial CT-based radiomics nomogram for predicting in-hospital mortality in patients with traumatic brain injury: a multicenter development and validation study.
Zheng RZ; Zhao ZJ; Yang XT; Jiang SW; Li YD; Li WJ; Li XH; Zhou Y; Gao CJ; Ma YB; Pan SM; Wang Y
Neurol Sci; 2022 Jul; 43(7):4363-4372. PubMed ID: 35199252
[TBL] [Abstract][Full Text] [Related]
15. CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD.
Zhou TH; Zhou XX; Ni J; Ma YQ; Xu FY; Fan B; Guan Y; Jiang XA; Lin XQ; Li J; Xia Y; Wang X; Wang Y; Huang WJ; Tu WT; Dong P; Li ZB; Liu SY; Fan L
Mil Med Res; 2024 Feb; 11(1):14. PubMed ID: 38374260
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. Preoperative CT-based peritumoral and tumoral radiomic features prediction for tumor spread through air spaces in clinical stage I lung adenocarcinoma.
Liao G; Huang L; Wu S; Zhang P; Xie D; Yao L; Zhang Z; Yao S; Shanshan L; Wang S; Wang G; Wing-Chi Chan L; Zhou H
Lung Cancer; 2022 Jan; 163():87-95. PubMed ID: 34942493
[TBL] [Abstract][Full Text] [Related]
20. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]