310 related articles for article (PubMed ID: 32487085)
1. Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma.
Zhang B; Lian Z; Zhong L; Zhang X; Dong Y; Chen Q; Zhang L; Mo X; Huang W; Yang W; Zhang S
BMC Cancer; 2020 Jun; 20(1):502. PubMed ID: 32487085
[TBL] [Abstract][Full Text] [Related]
2. A MRI-based radiomics model predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma.
Bao D; Zhao Y; Li L; Lin M; Zhu Z; Yuan M; Zhong H; Xu H; Zhao X; Luo D
Eur Radiol; 2022 Oct; 32(10):6910-6921. PubMed ID: 35639143
[TBL] [Abstract][Full Text] [Related]
3. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
[TBL] [Abstract][Full Text] [Related]
4. Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma.
Bin X; Zhu C; Tang Y; Li R; Ding Q; Xia W; Tang Y; Tang X; Yao D; Tang A
Clin Oncol (R Coll Radiol); 2022 Dec; 34(12):e482-e492. PubMed ID: 36008245
[TBL] [Abstract][Full Text] [Related]
5. Evolution of radiation-induced temporal lobe injury after intensity-modulated radiation therapy in nasopharyngeal carcinoma: a large cohort retrospective study.
Hou J; He Y; Li H; Ai Z; Lu Q; Zeng B; Xie C; Yu X
Radiat Oncol; 2024 Jan; 19(1):9. PubMed ID: 38243277
[TBL] [Abstract][Full Text] [Related]
6. Magnetic resonance imaging-based radiomics model for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma after intensity-modulated radiotherapy.
Bao D; Zhao Y; Liu Z; Xu H; Zhang Y; Yuan M; Li L; Lin M; Zhao X; Luo D
Head Neck; 2022 Dec; 44(12):2842-2853. PubMed ID: 36161397
[TBL] [Abstract][Full Text] [Related]
7. MRI-based radiomics models for the early prediction of radiation-induced temporal lobe injury in nasopharyngeal carcinoma.
Huang L; Yang Z; Zeng Z; Ren H; Jiang M; Hu Y; Xu Y; Zhang H; Ma K; Long L
Front Neurol; 2023; 14():1135978. PubMed ID: 37006478
[TBL] [Abstract][Full Text] [Related]
8. A deep learning-based method for the prediction of temporal lobe injury in patients with nasopharyngeal carcinoma.
Ren W; Liang B; Sun C; Wu R; Men K; Chen H; Feng X; Hou L; Han F; Yi J; Dai J
Phys Med; 2024 May; 121():103362. PubMed ID: 38653120
[TBL] [Abstract][Full Text] [Related]
9. Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma.
Leng X; Fang P; Lin H; Qin C; Tan X; Liang Y; Zhang C; Wang H; An J; Wu D; Liu Q; Qiu S
Cancer Imaging; 2019 Mar; 19(1):19. PubMed ID: 30909974
[TBL] [Abstract][Full Text] [Related]
10. Diffusion tensor imaging study on radiation-induced brain injury in nasopharyngeal carcinoma during and after radiotherapy.
Chen W; Qiu S; Li J; Hong L; Wang F; Xing Z; Li C
Tumori; 2015; 101(5):487-90. PubMed ID: 25983086
[TBL] [Abstract][Full Text] [Related]
11. Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.
Zhang B; He X; Ouyang F; Gu D; Dong Y; Zhang L; Mo X; Huang W; Tian J; Zhang S
Cancer Lett; 2017 Sep; 403():21-27. PubMed ID: 28610955
[TBL] [Abstract][Full Text] [Related]
12. Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.
Wang G; He L; Yuan C; Huang Y; Liu Z; Liang C
Eur J Radiol; 2018 Jan; 98():100-106. PubMed ID: 29279146
[TBL] [Abstract][Full Text] [Related]
13. Diffusion Kurtosis as an in vivo Imaging Marker of Early Radiation-Induced Changes in Radiation-Induced Temporal Lobe Necrosis in Nasopharyngeal Carcinoma Patients.
Liyan L; Si W; Qian W; Yuhui S; Xiaoer W; Yuehua L; Wenbin L
Clin Neuroradiol; 2018 Sep; 28(3):413-420. PubMed ID: 28447147
[TBL] [Abstract][Full Text] [Related]
14. Predictive accuracy of machine learning for radiation-induced temporal lobe injury in nasopharyngeal carcinoma patients: a systematic review and meta-analysis.
Li Y; Gong F; Guo Y; Ng WT; Mejia MBA; Nei WL; Wang C; Jin Z
Transl Cancer Res; 2023 Sep; 12(9):2361-2370. PubMed ID: 37859745
[TBL] [Abstract][Full Text] [Related]
15. Diffusion kurtosis imaging study on temporal lobe after nasopharyngeal carcinoma radiotherapy.
Wang D; Li YH; Fu J; Wang H
Brain Res; 2016 Oct; 1648(Pt A):387-393. PubMed ID: 27514570
[TBL] [Abstract][Full Text] [Related]
16. [Magnetic resonance perfusion weighted imaging manifestation of late radiation-induced encephalopathy at temporal lobe].
Zhao JQ; Liang BL; Shen J; Zhang XH; Sun Y
Ai Zheng; 2005 Sep; 24(9):1102-5. PubMed ID: 16159433
[TBL] [Abstract][Full Text] [Related]
17. Dosimetric predictors of temporal lobe injury after intensity-modulated radiotherapy for T4 nasopharyngeal carcinoma: a competing risk study.
Huang J; Kong FF; Oei RW; Zhai RP; Hu CS; Ying HM
Radiat Oncol; 2019 Feb; 14(1):31. PubMed ID: 30736809
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
[TBL] [Abstract][Full Text] [Related]
19. Temporal lobe injury patterns following intensity modulated radiotherapy in a large cohort of nasopharyngeal carcinoma patients.
Lu L; Sheng Y; Zhang G; Li Y; OuYang PY; Ge Y; Xie T; Chang H; Deng X; Wu JQ
Oral Oncol; 2018 Oct; 85():8-14. PubMed ID: 30220323
[TBL] [Abstract][Full Text] [Related]
20. [Magnetic resonance imaging (MRI) findings of temporal lobe radiation encephalopathy].
Zhao JQ; Liang BL; Shen J; Sun Y
Ai Zheng; 2003 Nov; 22(11):1209-13. PubMed ID: 14613655
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
