356 related articles for article (PubMed ID: 33402298)
1. Development and Validation of a CT-Based Signature for the Prediction of Distant Metastasis Before Treatment of Non-Small Cell Lung Cancer.
Tao J; Lv R; Liang C; Fang J; Liu D; Lan X; Huang H; Zhang J
Acad Radiol; 2022 Feb; 29 Suppl 2():S62-S72. PubMed ID: 33402298
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Preoperative CT Radiomics Nomogram for Predicting Microvascular Invasion in Stage I Non-Small Cell Lung Cancer.
Deng L; Tang HZ; Luo YW; Feng F; Wu JY; Li Q; Qiang JW
Acad Radiol; 2024 Jan; 31(1):46-57. PubMed ID: 37331866
[TBL] [Abstract][Full Text] [Related]
5. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.
Gong J; Wang T; Wang Z; Chu X; Hu T; Li M; Peng W; Feng F; Tong T; Gu Y
Cancer Imaging; 2024 Jan; 24(1):1. PubMed ID: 38167564
[TBL] [Abstract][Full Text] [Related]
8. CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer.
Sun F; Chen Y; Chen X; Sun X; Xing L
Eur J Radiol; 2021 Jan; 134():109411. PubMed ID: 33246270
[TBL] [Abstract][Full Text] [Related]
9. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
Yang L; Yang J; Zhou X; Huang L; Zhao W; Wang T; Zhuang J; Tian J
Eur Radiol; 2019 May; 29(5):2196-2206. PubMed ID: 30523451
[TBL] [Abstract][Full Text] [Related]
10. Development and Validation of a Radiomics Nomogram Using Computed Tomography for Differentiating Immune Checkpoint Inhibitor-Related Pneumonitis From Radiation Pneumonitis for Patients With Non-Small Cell Lung Cancer.
Qiu Q; Xing L; Wang Y; Feng A; Wen Q
Front Immunol; 2022; 13():870842. PubMed ID: 35558076
[TBL] [Abstract][Full Text] [Related]
11. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer.
Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G
Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889
[TBL] [Abstract][Full Text] [Related]
12.
Liu F; Xiang Z; Li Q; Fang X; Zhou J; Yang X; Lin H; Yang Q
Clin Radiol; 2024 Jan; 79(1):e147-e155. PubMed ID: 37884401
[TBL] [Abstract][Full Text] [Related]
13. Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients-a radiomics nomogram analysis.
Yang X; Liu M; Ren Y; Chen H; Yu P; Wang S; Zhang R; Dai H; Wang C
Eur Radiol; 2022 Apr; 32(4):2693-2703. PubMed ID: 34807270
[TBL] [Abstract][Full Text] [Related]
14. A Radiomics Signature in Preoperative Predicting Degree of Tumor Differentiation in Patients with Non-small Cell Lung Cancer.
Chen X; Fang M; Dong D; Wei X; Liu L; Xu X; Jiang X; Tian J; Liu Z
Acad Radiol; 2018 Dec; 25(12):1548-1555. PubMed ID: 29572049
[TBL] [Abstract][Full Text] [Related]
15. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer.
Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G
Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009
[TBL] [Abstract][Full Text] [Related]
16. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
[TBL] [Abstract][Full Text] [Related]
17. Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer.
Tang X; Xu X; Han Z; Bai G; Wang H; Liu Y; Du P; Liang Z; Zhang J; Lu H; Yin H
Biomed Eng Online; 2020 Jan; 19(1):5. PubMed ID: 31964407
[TBL] [Abstract][Full Text] [Related]
18. A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer.
Xie Y; Zhao H; Guo Y; Meng F; Liu X; Zhang Y; Huai X; Wong Q; Fu Y; Zhang H
Eur Radiol; 2021 Aug; 31(8):6030-6038. PubMed ID: 33560457
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of radiomics nomograms for preoperative prediction of characteristics in non-small cell lung cancer and circulating tumor cells.
Wang Y; Zhu J; Lu X; Cheng W; Xu L; Wang X; Wang J; Yang J; Niu F; Chen W; Sun X; Li W; Wen Z; Guan H; Yan F
Medicine (Baltimore); 2023 Nov; 102(44):e35830. PubMed ID: 37932991
[TBL] [Abstract][Full Text] [Related]
20. CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer.
Wang J; Wang J; Huang X; Zhou Y; Qi J; Sun X; Nie J; Hu Z; Wang S; Hong B; Wang H
BMC Med Imaging; 2024 Feb; 24(1):45. PubMed ID: 38360550
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
