282 related articles for article (PubMed ID: 32700470)
1. Parallel comparison and combining effect of radiomic and emerging genomic data for prognostic stratification of non-small cell lung carcinoma patients.
Kim KH; Kim J; Park H; Kim H; Lee SH; Sohn I; Lee HY; Park WY
Thorac Cancer; 2020 Sep; 11(9):2542-2551. PubMed ID: 32700470
[TBL] [Abstract][Full Text] [Related]
2. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
[TBL] [Abstract][Full Text] [Related]
3. Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer.
Wang L; Dong T; Xin B; Xu C; Guo M; Zhang H; Feng D; Wang X; Yu J
Eur Radiol; 2019 Jun; 29(6):2958-2967. PubMed ID: 30643940
[TBL] [Abstract][Full Text] [Related]
4. Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.
Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
BMC Med Imaging; 2020 Feb; 20(1):12. PubMed ID: 32024469
[TBL] [Abstract][Full Text] [Related]
5. Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery.
Kirienko M; Cozzi L; Antunovic L; Lozza L; Fogliata A; Voulaz E; Rossi A; Chiti A; Sollini M
Eur J Nucl Med Mol Imaging; 2018 Feb; 45(2):207-217. PubMed ID: 28944403
[TBL] [Abstract][Full Text] [Related]
6. Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients.
Sugai Y; Kadoya N; Tanaka S; Tanabe S; Umeda M; Yamamoto T; Takeda K; Dobashi S; Ohashi H; Takeda K; Jingu K
Radiat Oncol; 2021 Apr; 16(1):80. PubMed ID: 33931085
[TBL] [Abstract][Full Text] [Related]
7. Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
Digumarthy SR; Padole AM; Gullo RL; Sequist LV; Kalra MK
Medicine (Baltimore); 2019 Jan; 98(1):e13963. PubMed ID: 30608433
[TBL] [Abstract][Full Text] [Related]
8. Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer.
Wu J; Zhou Y; Xu C; Yang C; Liu B; Zhao L; Song J; Wang W; Yang Y; Liu N
BMC Cancer; 2024 Feb; 24(1):170. PubMed ID: 38310283
[TBL] [Abstract][Full Text] [Related]
9. Homology-based radiomic features for prediction of the prognosis of lung cancer based on CT-based radiomics.
Kadoya N; Tanaka S; Kajikawa T; Tanabe S; Abe K; Nakajima Y; Yamamoto T; Takahashi N; Takeda K; Dobashi S; Takeda K; Nakane K; Jingu K
Med Phys; 2020 Jun; 47(5):2197-2205. PubMed ID: 32096876
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.
Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil PD; Velu PD; Rajiah P; Gilkeson R; Feldman MD; Choi H; Velcheti V; Madabhushi A
Lancet Digit Health; 2020 Mar; 2(3):e116-e128. PubMed ID: 33334576
[TBL] [Abstract][Full Text] [Related]
12. Preoperative CT-based radiomic prognostic index to predict the benefit of postoperative radiotherapy in patients with non-small cell lung cancer: a multicenter study.
Ma Z; Men Y; Liu Y; Bao Y; Liu Q; Yang X; Wang J; Deng L; Zhai Y; Bi N; Wang L; Hui Z
Cancer Imaging; 2024 May; 24(1):61. PubMed ID: 38741207
[TBL] [Abstract][Full Text] [Related]
13. Identifying pathological subtypes of non-small-cell lung cancer by using the radiomic features of
Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
Transl Cancer Res; 2019 Sep; 8(5):1741-1749. PubMed ID: 35116924
[TBL] [Abstract][Full Text] [Related]
14. Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT.
Huynh E; Coroller TP; Narayan V; Agrawal V; Romano J; Franco I; Parmar C; Hou Y; Mak RH; Aerts HJ
PLoS One; 2017; 12(1):e0169172. PubMed ID: 28046060
[TBL] [Abstract][Full Text] [Related]
15. Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer.
Zhu X; Dong D; Chen Z; Fang M; Zhang L; Song J; Yu D; Zang Y; Liu Z; Shi J; Tian J
Eur Radiol; 2018 Jul; 28(7):2772-2778. PubMed ID: 29450713
[TBL] [Abstract][Full Text] [Related]
16. Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features.
Khorrami M; Jain P; Bera K; Alilou M; Thawani R; Patil P; Ahmad U; Murthy S; Stephans K; Fu P; Velcheti V; Madabhushi A
Lung Cancer; 2019 Sep; 135():1-9. PubMed ID: 31446979
[TBL] [Abstract][Full Text] [Related]
17. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
18. A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts ALK Rearrangement Status in Lung Adenocarcinoma.
Chang C; Sun X; Wang G; Yu H; Zhao W; Ge Y; Duan S; Qian X; Wang R; Lei B; Wang L; Liu L; Ruan M; Yan H; Liu C; Chen J; Xie W
Front Oncol; 2021; 11():603882. PubMed ID: 33738250
[TBL] [Abstract][Full Text] [Related]
19. Clinical and radiological predictors of epidermal growth factor receptor mutation in nonsmall cell lung cancer.
Dang Y; Wang R; Qian K; Lu J; Zhang H; Zhang Y
J Appl Clin Med Phys; 2021 Jan; 22(1):271-280. PubMed ID: 33314737
[TBL] [Abstract][Full Text] [Related]
20. Identifying sarcopenia in advanced non-small cell lung cancer patients using skeletal muscle CT radiomics and machine learning.
Dong X; Dan X; Yawen A; Haibo X; Huan L; Mengqi T; Linglong C; Zhao R
Thorac Cancer; 2020 Sep; 11(9):2650-2659. PubMed ID: 32767522
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
