260 related articles for article (PubMed ID: 35639143)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Cervical spine osteoradionecrosis or bone metastasis after radiotherapy for nasopharyngeal carcinoma? The MRI-based radiomics for characterization.
Zhong X; Li L; Jiang H; Yin J; Lu B; Han W; Li J; Zhang J
BMC Med Imaging; 2020 Sep; 20(1):104. PubMed ID: 32873238
[TBL] [Abstract][Full Text] [Related]
9. MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma.
Zhao L; Gong J; Xi Y; Xu M; Li C; Kang X; Yin Y; Qin W; Yin H; Shi M
Eur Radiol; 2020 Jan; 30(1):537-546. PubMed ID: 31372781
[TBL] [Abstract][Full Text] [Related]
10. Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma.
Zhang B; Tian J; Dong D; Gu D; Dong Y; Zhang L; Lian Z; Liu J; Luo X; Pei S; Mo X; Huang W; Ouyang F; Guo B; Liang L; Chen W; Liang C; Zhang S
Clin Cancer Res; 2017 Aug; 23(15):4259-4269. PubMed ID: 28280088
[No Abstract] [Full Text] [Related]
11. 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]
12. Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment.
Bao D; Liu Z; Geng Y; Li L; Xu H; Zhang Y; Hu L; Zhao X; Zhao Y; Luo D
Cancer Imaging; 2022 Jan; 22(1):10. PubMed ID: 35090572
[TBL] [Abstract][Full Text] [Related]
13. Nomograms based on multiparametric MRI radiomics integrated with clinical-radiological features for predicting the response to induction chemotherapy in nasopharyngeal carcinoma.
Chen Z; Wang Z; Liu S; Zhang S; Zhou Y; Zhang R; Yang W
Eur J Radiol; 2024 Jun; 175():111438. PubMed ID: 38613869
[TBL] [Abstract][Full Text] [Related]
14. Differences in Radiomics Signatures Between Patients with Early and Advanced T-Stage Nasopharyngeal Carcinoma Facilitate Prognostication.
Wu S; Li H; Dong A; Tian L; Ruan G; Liu L; Shao Y
J Magn Reson Imaging; 2021 Sep; 54(3):854-865. PubMed ID: 33830573
[TBL] [Abstract][Full Text] [Related]
15. Multimodality radiomics analysis based on [
Xu H; Lv W; Zhang H; Yuan Q; Wang Q; Wu Y; Lu L
Eur Radiol; 2023 Oct; 33(10):6677-6688. PubMed ID: 37060444
[TBL] [Abstract][Full Text] [Related]
16. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study.
Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y
Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729
[TBL] [Abstract][Full Text] [Related]
17. Magnetic resonance imaging-based radiogenomics analysis for predicting prognosis and gene expression profile in advanced nasopharyngeal carcinoma.
Gao Y; Mao Y; Lu S; Tan L; Li G; Chen J; Huang D; Zhang X; Qiu Y; Liu Y
Head Neck; 2021 Dec; 43(12):3730-3742. PubMed ID: 34516714
[TBL] [Abstract][Full Text] [Related]
18. A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma.
Sun MX; Zhao MJ; Zhao LH; Jiang HR; Duan YX; Li G
Radiat Oncol; 2023 Apr; 18(1):67. PubMed ID: 37041545
[TBL] [Abstract][Full Text] [Related]
19. MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma.
Liao H; Chen X; Lu S; Jin G; Pei W; Li Y; Wei Y; Huang X; Wang C; Liang X; Bao H; Liu L; Su D
J Magn Reson Imaging; 2022 Aug; 56(2):547-559. PubMed ID: 34970824
[TBL] [Abstract][Full Text] [Related]
20. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X
Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
