190 related articles for article (PubMed ID: 36541519)
1. Survival rate prediction of nasopharyngeal carcinoma patients based on MRI and gene expression using a deep neural network.
Zhang Q; Wu G; Yang Q; Dai G; Li T; Chen P; Li J; Huang W
Cancer Sci; 2023 Apr; 114(4):1596-1605. PubMed ID: 36541519
[TBL] [Abstract][Full Text] [Related]
2. Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma.
Mao J; Fang J; Duan X; Yang Z; Cao M; Zhang F; Lu L; Zhang X; Wu X; Ding Y; Shen J
Eur Radiol; 2019 Aug; 29(8):4105-4113. PubMed ID: 30617473
[TBL] [Abstract][Full Text] [Related]
3. Dynamic contrast-enhanced MRI predicts PTEN protein expression which can function as a prognostic measure of progression-free survival in NPC patients.
Wu G; Huang W; Xu J; Li W; Wu Y; Yang Q; Liu K; Zhu M; Balasubramanian PS; Li M
J Cancer Res Clin Oncol; 2022 Jul; 148(7):1771-1780. PubMed ID: 34398299
[TBL] [Abstract][Full Text] [Related]
4. Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma.
Gu B; Meng M; Xu M; Feng DD; Bi L; Kim J; Song S
Eur J Nucl Med Mol Imaging; 2023 Nov; 50(13):3996-4009. PubMed ID: 37596343
[TBL] [Abstract][Full Text] [Related]
5. Proposed modifications and incorporation of plasma Epstein-Barr virus DNA improve the TNM staging system for Epstein-Barr virus-related nasopharyngeal carcinoma.
Guo R; Tang LL; Mao YP; Du XJ; Chen L; Zhang ZC; Liu LZ; Tian L; Luo XT; Xie YB; Ren J; Sun Y; Ma J
Cancer; 2019 Jan; 125(1):79-89. PubMed ID: 30351466
[TBL] [Abstract][Full Text] [Related]
6. Automatic T Staging Using Weakly Supervised Deep Learning for Nasopharyngeal Carcinoma on MR Images.
Yang Q; Guo Y; Ou X; Wang J; Hu C
J Magn Reson Imaging; 2020 Oct; 52(4):1074-1082. PubMed ID: 32583578
[TBL] [Abstract][Full Text] [Related]
7. Correlation of quantitative parameters of magnetic resonance perfusion-weighted imaging with vascular endothelial growth factor, microvessel density and hypoxia-inducible factor-1α in nasopharyngeal carcinoma: Evaluation on radiosensitivity study.
Hu Y; E H; Yu X; Li F; Zeng L; Lu Q; Xi X; Shen L
Clin Otolaryngol; 2018 Apr; 43(2):425-433. PubMed ID: 28892580
[TBL] [Abstract][Full Text] [Related]
8. Individualized concurrent chemotherapy by pretreatment plasma Epstein-Barr viral DNA in II-III stage nasopharyngeal carcinoma: A propensity score matching analysis using a large cohort.
Sun XS; Chen WH; Liu SL; Liang YJ; Chen QY; Guo SS; Wen YF; Liu LT; Xie HJ; Tang QN; Li XY; Yan JJ; Mai HQ; Tang LQ
Cancer Med; 2019 Aug; 8(9):4214-4225. PubMed ID: 31210417
[TBL] [Abstract][Full Text] [Related]
9. Prognostic value of gross tumor regression and plasma Epstein Barr Virus DNA levels at the end of intensity-modulated radiation therapy in patients with nasopharyngeal carcinoma.
Liang SB; Zhang N; Chen DM; Yang XL; Chen BH; Zhao H; Lu RL; Chen Y; Fu LW
Radiother Oncol; 2019 Mar; 132():223-229. PubMed ID: 30366725
[TBL] [Abstract][Full Text] [Related]
10. MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma.
Zhang L; Wu X; Liu J; Zhang B; Mo X; Chen Q; Fang J; Wang F; Li M; Chen Z; Liu S; Chen L; You J; Jin Z; Tang B; Dong D; Zhang S
J Magn Reson Imaging; 2021 Jan; 53(1):167-178. PubMed ID: 32776391
[TBL] [Abstract][Full Text] [Related]
11. The value of detailed MR imaging report of primary tumor and lymph nodes on prognostic nomograms for nasopharyngeal carcinoma after intensity-modulated radiotherapy.
Wan Y; Tian L; Zhang G; Xin H; Li H; Dong A; Liang Y; Jing B; Zhou J; Cui C; Chen M; Sun Y; Xie C; Liu L; Shao Y
Radiother Oncol; 2019 Feb; 131():35-44. PubMed ID: 30773185
[TBL] [Abstract][Full Text] [Related]
12. Predictive Value of ERCC1 mRNA Level from Receiver-Operator Characteristic and Pretreatment EBV-DNA Virus Load in Stage II Nasopharyngeal Carcinoma Patients Receiving Intensity-Modulated Radiotherapy with Concurrent Cisplatin.
Hua L; Chen S; Wei M; Shen Y; Long J; Lin Z; Meng Y; Guo C; Huang H; Tu X; Yao M
Cancer Biother Radiopharm; 2022 Feb; 37(1):2-10. PubMed ID: 33764811
[No Abstract] [Full Text] [Related]
13. 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]
14. The addition of pretreatment plasma Epstein-Barr virus DNA into the eighth edition of nasopharyngeal cancer TNM stage classification.
Lee VH; Kwong DL; Leung TW; Choi CW; O'Sullivan B; Lam KO; Lai V; Khong PL; Chan SK; Ng CY; Tong CC; Ho PP; Chan WL; Wong LS; Leung DK; Chan SY; So TH; Luk MY; Lee AW
Int J Cancer; 2019 Apr; 144(7):1713-1722. PubMed ID: 30192385
[TBL] [Abstract][Full Text] [Related]
15. Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.
Zhuo EH; Zhang WJ; Li HJ; Zhang GY; Jing BZ; Zhou J; Cui CY; Chen MY; Sun Y; Liu LZ; Cai HM
Eur Radiol; 2019 Oct; 29(10):5590-5599. PubMed ID: 30874880
[TBL] [Abstract][Full Text] [Related]
16. The diagnostic and prognostic values of plasma Epstein-Barr virus DNA for residual cervical lymphadenopathy in nasopharyngeal carcinoma patients: a retrospective study.
Liu SL; Sun XS; Li XY; Tang LQ; Chen QY; Lin HX; Liang YJ; Yan JJ; Lin C; Guo SS; Liu LT; Li Y; Xie HJ; Tang QN; Liang H; Guo L; Mai HQ
Cancer Commun (Lond); 2019 Mar; 39(1):14. PubMed ID: 30925939
[TBL] [Abstract][Full Text] [Related]
17. MRI-detected residual retropharyngeal lymph node after intensity-modulated radiotherapy in nasopharyngeal carcinoma: Prognostic value and a nomogram for the pretherapy prediction of it.
Li WZ; Liu GY; Lin LF; Lv SH; Qiang MY; Lv X; Wu YS; Liang H; Ke LR; Wang DL; Yu YH; Qiu WZ; Liu KY; Guo X; Li JP; Zou YJ; Xiang YQ; Xia WX
Radiother Oncol; 2020 Apr; 145():101-108. PubMed ID: 31931288
[TBL] [Abstract][Full Text] [Related]
18. Prognostic value of systemic inflammation response index in nasopharyngeal carcinoma with negative Epstein-Barr virus DNA.
Yuan X; Yang H; Zeng F; Zhou S; Wu S; Yuan Y; Cui L; Feng H; Lin D; Chen Z; Liu X; Chen J; Wang F
BMC Cancer; 2022 Aug; 22(1):858. PubMed ID: 35932022
[TBL] [Abstract][Full Text] [Related]
19. The comparison of prognostic value of tumour volumetric regression ratio and RECIST 1.1 criteria after induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma.
Zeng YY; Xiang ZZ; He T; Liu F; Shao BF; Yan RN; Ma JC; Wang XR; Liu L
Oral Oncol; 2020 Dec; 111():104924. PubMed ID: 32736209
[TBL] [Abstract][Full Text] [Related]
20. Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre- and post-treatment MRI.
Li S; Deng YQ; Hua HL; Li SL; Chen XX; Xie BJ; Zhu Z; Liu R; Huang J; Tao ZZ
Comput Methods Programs Biomed; 2022 Jun; 219():106785. PubMed ID: 35397409
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
