196 related articles for article (PubMed ID: 37219740)
41. Identification of a Seven-lncRNA Immune Risk Signature and Construction of a Predictive Nomogram for Lung Adenocarcinoma.
Jin D; Song Y; Chen Y; Zhang P
Biomed Res Int; 2020; 2020():7929132. PubMed ID: 32596372
[TBL] [Abstract][Full Text] [Related]
42. Radiomics Nomogram for Predicting Locoregional Failure in Locally Advanced Non-small Cell Lung Cancer Treated with Definitive Chemoradiotherapy.
Chen X; Tong X; Qiu Q; Sun F; Yin Y; Gong G; Xing L; Sun X
Acad Radiol; 2022 Feb; 29 Suppl 2():S53-S61. PubMed ID: 33308945
[TBL] [Abstract][Full Text] [Related]
43. Comparison of the radiomics-based predictive models using machine learning and nomogram for epidermal growth factor receptor mutation status and subtypes in lung adenocarcinoma.
Kawazoe Y; Shiinoki T; Fujimoto K; Yuasa Y; Hirano T; Matsunaga K; Tanaka H
Phys Eng Sci Med; 2023 Mar; 46(1):395-403. PubMed ID: 36787023
[TBL] [Abstract][Full Text] [Related]
44. Radiomics nomogram for prediction disease-free survival and adjuvant chemotherapy benefits in patients with resected stage I lung adenocarcinoma.
Xie D; Wang TT; Huang SJ; Deng JJ; Ren YJ; Yang Y; Wu JQ; Zhang L; Fei K; Sun XW; She YL; Chen C
Transl Lung Cancer Res; 2020 Aug; 9(4):1112-1123. PubMed ID: 32953490
[TBL] [Abstract][Full Text] [Related]
45. Development and validation of a [
Li M; Yao H; Zhang P; Zhang L; Liu W; Jiang Z; Li W; Zhao S; Wang K
Eur Radiol; 2023 May; 33(5):3354-3365. PubMed ID: 36547676
[TBL] [Abstract][Full Text] [Related]
46. [Clinical value of a differentiation prediction model for invasive lung adenocarcinoma].
Shan WL; Kong D; Zhang H; Zhang JD; Duan SF; Guo LL
Zhonghua Zhong Liu Za Zhi; 2022 Jul; 44(7):767-775. PubMed ID: 35880343
[No Abstract] [Full Text] [Related]
47. Identification of a methylomics-associated nomogram for predicting overall survival of stage I-II lung adenocarcinoma.
Wang H; Wei C; Pan P; Yuan F; Cheng J
Sci Rep; 2021 May; 11(1):9938. PubMed ID: 33976305
[TBL] [Abstract][Full Text] [Related]
48. A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer.
Jiang X; Zou X; Sun J; Zheng A; Su C
Contrast Media Mol Imaging; 2020; 2020():5418364. PubMed ID: 32922222
[TBL] [Abstract][Full Text] [Related]
49. Integrating IASLC grading and radiomics for predicting postoperative outcomes in stage IA invasive lung adenocarcinoma.
Chen Y; Wu J; You J; Gao M; Lu S; Sun C; Shu Y; Wang X
Med Phys; 2024 May; ():. PubMed ID: 38781536
[TBL] [Abstract][Full Text] [Related]
50. [A clinical-radiomics nomogram for differentiating focal organizing pneumonia and lung adenocarcinoma].
Liu Y; Li C; Guo J; Liu Y
Nan Fang Yi Ke Da Xue Xue Bao; 2024 Feb; 44(2):397-404. PubMed ID: 38501426
[TBL] [Abstract][Full Text] [Related]
51. The preoperative prognostic value of the radiomics nomogram based on CT combined with machine learning in patients with intrahepatic cholangiocarcinoma.
Tang Y; Zhang T; Zhou X; Zhao Y; Xu H; Liu Y; Wang H; Chen Z; Ma X
World J Surg Oncol; 2021 Aug; 19(1):45. PubMed ID: 34334138
[TBL] [Abstract][Full Text] [Related]
52. Nomogram for the preoperative prediction of Ki-67 expression and prognosis in stage IA lung adenocarcinoma based on clinical and multi-slice spiral computed tomography features.
Li Z; Liu H; Wang M; Wang X; Pan D; Ma A; Chen Y
BMC Med Imaging; 2024 Jun; 24(1):143. PubMed ID: 38867154
[TBL] [Abstract][Full Text] [Related]
53. Prediction and verification of survival in patients with non-small-cell lung cancer based on an integrated radiomics nomogram.
Li R; Peng H; Xue T; Li J; Ge Y; Wang G; Feng F
Clin Radiol; 2022 Mar; 77(3):e222-e230. PubMed ID: 34974912
[TBL] [Abstract][Full Text] [Related]
54. Can CT Radiomics Detect Acquired T790M Mutation and Predict Prognosis in Advanced Lung Adenocarcinoma With Progression After First- or Second-Generation EGFR TKIs?
Yang X; Fang C; Li C; Gong M; Yi X; Lin H; Li K; Yu X
Front Oncol; 2022; 12():904983. PubMed ID: 35875167
[TBL] [Abstract][Full Text] [Related]
55. Characteristics of Fatty Acid Metabolism in Lung Adenocarcinoma to Guide Clinical Treatment.
Huang D; Tang E; Zhang T; Xu G
Front Immunol; 2022; 13():916284. PubMed ID: 35860256
[TBL] [Abstract][Full Text] [Related]
56. MRI-Based Radiomics Nomogram as a Potential Biomarker to Predict the EGFR Mutations in Exon 19 and 21 Based on Thoracic Spinal Metastases in Lung Adenocarcinoma.
Cao R; Dong Y; Wang X; Ren M; Wang X; Zhao N; Yu T; Zhang L; Luo Y; Cui EN; Jiang X
Acad Radiol; 2022 Mar; 29(3):e9-e17. PubMed ID: 34332860
[TBL] [Abstract][Full Text] [Related]
57. A CT-based radiomics nomogram for predicting the progression-free survival in small cell lung cancer: a multicenter cohort study.
Zheng X; Liu K; Li C; Zhu C; Gao Y; Li J; Wu X
Radiol Med; 2023 Nov; 128(11):1386-1397. PubMed ID: 37597124
[TBL] [Abstract][Full Text] [Related]
58. Immune landscape and a promising immune prognostic model associated with TP53 in early-stage lung adenocarcinoma.
Wu C; Rao X; Lin W
Cancer Med; 2021 Feb; 10(3):806-823. PubMed ID: 33314730
[TBL] [Abstract][Full Text] [Related]
59. A potential biomarker based on clinical-radiomics nomogram for predicting survival and adjuvant chemotherapy benefit in resected node-negative, early-stage lung adenocarcinoma.
Ma X; Lv W; Wang C; Tu D; Qiao J; Fan C; Niu J; Zhou W; Liu Q; Xia L
J Thorac Dis; 2022 Jan; 14(1):1-17. PubMed ID: 35242363
[TBL] [Abstract][Full Text] [Related]
60. 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]
[Previous] [Next] [New Search]