122 related articles for article (PubMed ID: 36963440)
1. CT-based radiomics nomogram may predict who can benefit from adaptive radiotherapy in patients with local advanced-NSCLC patients.
Zhou C; Hou L; Tang X; Liu C; Meng Y; Jia H; Yang H; Zhou S
Radiother Oncol; 2023 Jun; 183():109637. PubMed ID: 36963440
[TBL] [Abstract][Full Text] [Related]
2. Intratumoral and peritumoral radiomics nomograms for the preoperative prediction of lymphovascular invasion and overall survival in non-small cell lung cancer.
Chen Q; Shao J; Xue T; Peng H; Li M; Duan S; Feng F
Eur Radiol; 2023 Feb; 33(2):947-958. PubMed ID: 36064979
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. 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]
7. Preoperative prediction of mediastinal lymph node metastasis in non-small cell lung cancer based on
Huang Y; Jiang X; Xu H; Zhang D; Liu LN; Xia YX; Xu DK; Wu HJ; Cheng G; Shi YH
Clin Radiol; 2023 Jan; 78(1):8-17. PubMed ID: 36192203
[TBL] [Abstract][Full Text] [Related]
8. Cone-beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients.
Qin Q; Shi A; Zhang R; Wen Q; Niu T; Chen J; Qiu Q; Wan Y; Sun X; Xing L
Thorac Cancer; 2020 Apr; 11(4):964-972. PubMed ID: 32061061
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Radiomics nomogram integrating intratumoural and peritumoural features to predict lymph node metastasis and prognosis in clinical stage IA non-small cell lung cancer: a two-centre study.
Chen QL; Li MM; Xue T; Peng H; Shi J; Li YY; Duan SF; Feng F
Clin Radiol; 2023 May; 78(5):e359-e367. PubMed ID: 36858926
[TBL] [Abstract][Full Text] [Related]
11. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Radiotranscriptomics signature-based predictive nomograms for radiotherapy response in patients with nonsmall cell lung cancer: Combination and association of CT features and serum miRNAs levels.
Fan L; Cao Q; Ding X; Gao D; Yang Q; Li B
Cancer Med; 2020 Jul; 9(14):5065-5074. PubMed ID: 32458566
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Dosiomics and radiomics improve the prediction of post-radiotherapy neutrophil-lymphocyte ratio in locally advanced non-small cell lung cancer.
Hou R; Xia W; Zhang C; Shao Y; Zhu X; Feng W; Zhang Q; Yu W; Fu X; Zhao J
Med Phys; 2024 Jan; 51(1):650-661. PubMed ID: 37963229
[TBL] [Abstract][Full Text] [Related]
17. A short-term follow-up CT based radiomics approach to predict response to immunotherapy in advanced non-small-cell lung cancer.
Gong J; Bao X; Wang T; Liu J; Peng W; Shi J; Wu F; Gu Y
Oncoimmunology; 2022; 11(1):2028962. PubMed ID: 35096486
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
