146 related articles for article (PubMed ID: 37718448)
1. Development and validation of a risk model with variables related to non-small cell lung cancer in patients with pulmonary nodules: a retrospective study.
Liao Z; Zheng R; Li N; Shao G
BMC Cancer; 2023 Sep; 23(1):872. PubMed ID: 37718448
[TBL] [Abstract][Full Text] [Related]
2. A lung cancer risk prediction model for nonsmokers: A retrospective analysis of lung nodule cohorts in China.
Liao Z; Zheng R; Shao G
J Clin Lab Anal; 2022 Nov; 36(11):e24748. PubMed ID: 36319580
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Development and validation of a prediction model for malignant pulmonary nodules: A cohort study.
Ren Z; Ding H; Cai Z; Mu Y; Wang L; Pan S
Medicine (Baltimore); 2021 Dec; 100(51):e28110. PubMed ID: 34941053
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
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. 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]
10. 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]
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. 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]
13. Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodules.
Guo BL; Ouyang FS; Ouyang LZ; Liu ZW; Lin SJ; Meng W; Huang XY; Chen HX; Yang SM; Hu QG
Eur Radiol; 2019 Mar; 29(3):1518-1526. PubMed ID: 30209592
[TBL] [Abstract][Full Text] [Related]
14. CT texture analysis-based nomogram for the preoperative prediction of visceral pleural invasion in cT1N0M0 lung adenocarcinoma: an external validation cohort study.
Zuo Z; Li Y; Peng K; Li X; Tan Q; Mo Y; Lan Y; Zeng W; Qi W
Clin Radiol; 2022 Mar; 77(3):e215-e221. PubMed ID: 34916048
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. [Establishment and Verification of Benign and Malignant Prediction Model of
Subcentimeter Pulmonary Ground Glass Nodules Based on HRCT].
Chen Z; Wang G; Wu H; Wu M; Wu X; Xu M; Xie M
Zhongguo Fei Ai Za Zhi; 2023 May; 26(5):377-385. PubMed ID: 37316447
[TBL] [Abstract][Full Text] [Related]
18. Construction and validation of a predictive model of invasive adenocarcinoma in pure ground-glass nodules less than 2 cm in diameter.
Xue M; Li R; Wang K; Liu W; Liu J; Li Z; Chen G; Zhang H; Tian H
BMC Surg; 2024 Feb; 24(1):56. PubMed ID: 38355554
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography.
González Maldonado S; Delorme S; Hüsing A; Motsch E; Kauczor HU; Heussel CP; Kaaks R
JAMA Netw Open; 2020 Feb; 3(2):e1921221. PubMed ID: 32058555
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]