356 related articles for article (PubMed ID: 34391094)
1. A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study.
Zhong L; Dong D; Fang X; Zhang F; Zhang N; Zhang L; Fang M; Jiang W; Liang S; Li C; Liu Y; Zhao X; Cao R; Shan H; Hu Z; Ma J; Tang L; Tian J
EBioMedicine; 2021 Aug; 70():103522. PubMed ID: 34391094
[TBL] [Abstract][Full Text] [Related]
2. A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0.
Zhong LZ; Fang XL; Dong D; Peng H; Fang MJ; Huang CL; He BX; Lin L; Ma J; Tang LL; Tian J
Radiother Oncol; 2020 Oct; 151():1-9. PubMed ID: 32634460
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959).
Dong D; Zhang F; Zhong LZ; Fang MJ; Huang CL; Yao JJ; Sun Y; Tian J; Ma J; Tang LL
BMC Med; 2019 Oct; 17(1):190. PubMed ID: 31640711
[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. Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study.
Tang XR; Li YQ; Liang SB; Jiang W; Liu F; Ge WX; Tang LL; Mao YP; He QM; Yang XJ; Zhang Y; Wen X; Zhang J; Wang YQ; Zhang PP; Sun Y; Yun JP; Zeng J; Li L; Liu LZ; Liu N; Ma J
Lancet Oncol; 2018 Mar; 19(3):382-393. PubMed ID: 29428165
[TBL] [Abstract][Full Text] [Related]
6. Meta-Analysis on Induction Chemotherapy in Locally Advanced Nasopharyngeal Carcinoma.
Mané M; Benkhaled S; Dragan T; Paesmans M; Beauvois S; Lalami Y; Szturz P; Gaye PM; Vermorken JB; Van Gestel D
Oncologist; 2021 Jan; 26(1):e130-e141. PubMed ID: 32924198
[TBL] [Abstract][Full Text] [Related]
7. Concurrent chemoradiotherapy with/without induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma: Long-term results of phase 3 randomized controlled trial.
Li WF; Chen NY; Zhang N; Hu GQ; Xie FY; Sun Y; Chen XZ; Li JG; Zhu XD; Hu CS; Xu XY; Chen YY; Hu WH; Guo L; Mo HY; Chen L; Mao YP; Sun R; Ai P; Liang SB; Long GX; Zheng BM; Feng XL; Gong XC; Li L; Shen CY; Xu JY; Guo Y; Chen YM; Zhang F; Lin L; Tang LL; Liu MZ; Ma J; Sun Y
Int J Cancer; 2019 Jul; 145(1):295-305. PubMed ID: 30613964
[TBL] [Abstract][Full Text] [Related]
8. MRI-identified multidimensional nodal features predict survival and concurrent chemotherapy benefit for stage II nasopharyngeal carcinoma.
Liu Y; Zhang J; Wang J; Wu R; Huang X; Wang K; Qu Y; Chen X; Li Y; Zhang Y; Yi J
Radiol Oncol; 2022 Dec; 56(4):479-487. PubMed ID: 36503717
[TBL] [Abstract][Full Text] [Related]
9. An interpretable machine learning prognostic system for locoregionally advanced nasopharyngeal carcinoma based on tumor burden features.
Chen X; Li Y; Li X; Cao X; Xiang Y; Xia W; Li J; Gao M; Sun Y; Liu K; Qiang M; Liang C; Miao J; Cai Z; Guo X; Li C; Xie G; Lv X
Oral Oncol; 2021 Jul; 118():105335. PubMed ID: 34023742
[TBL] [Abstract][Full Text] [Related]
10. Induction chemotherapy plus IMRT alone versus induction chemotherapy plus IMRT-based concurrent chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma: a retrospective cohort study.
Wei Z; Zhang Z; Luo J; Li N; Peng X
J Cancer Res Clin Oncol; 2019 Jul; 145(7):1857-1864. PubMed ID: 31062162
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.
Peng H; Dong D; Fang MJ; Li L; Tang LL; Chen L; Li WF; Mao YP; Fan W; Liu LZ; Tian L; Lin AH; Sun Y; Tian J; Ma J
Clin Cancer Res; 2019 Jul; 25(14):4271-4279. PubMed ID: 30975664
[TBL] [Abstract][Full Text] [Related]
13. Establishment and validation of a nomogram for predicting the benefit of concurrent chemotherapy in stage II nasopharyngeal carcinoma: A study based on a phase III randomized clinical trial with 10-year follow-up.
Sun XS; Li XY; Xiao BB; Liu SL; Chen QY; Tang LQ; Mai HQ
Oral Oncol; 2020 Jan; 100():104490. PubMed ID: 31790913
[TBL] [Abstract][Full Text] [Related]
14. Nomogram to predict the benefit of additional induction chemotherapy to concurrent chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma: Analysis of a multicenter, phase III randomized trial.
Zhang Y; Li WF; Liu X; Chen L; Sun R; Sun Y; Liu Q; Ma J
Radiother Oncol; 2018 Oct; 129(1):18-22. PubMed ID: 29258695
[TBL] [Abstract][Full Text] [Related]
15. Proposal of a Pretreatment Nomogram for Predicting Local Recurrence after Intensity-Modulated Radiation Therapy in T4 Nasopharyngeal Carcinoma: A Retrospective Review of 415 Chinese Patients.
Zhang LL; Li YY; Hu J; Zhou GQ; Chen L; Li WF; Lin AH; Ma J; Qi ZY; Sun Y
Cancer Res Treat; 2018 Oct; 50(4):1084-1095. PubMed ID: 29141396
[TBL] [Abstract][Full Text] [Related]
16. A multidimensional nomogram combining overall stage, dose volume histogram parameters and radiomics to predict progression-free survival in patients with locoregionally advanced nasopharyngeal carcinoma.
Yang K; Tian J; Zhang B; Li M; Xie W; Zou Y; Tan Q; Liu L; Zhu J; Shou A; Li G
Oral Oncol; 2019 Nov; 98():85-91. PubMed ID: 31569054
[TBL] [Abstract][Full Text] [Related]
17. Survival benefit of induction chemotherapy for locally advanced nasopharyngeal carcinoma: prognosis based on a new risk estimation model.
Liu W; Yu B; Luo Y; Li J; Yuan X; Wu S; Liang B; Lv Z; Li Y; Peng X; Lu J; Peng X; Liu X
BMC Cancer; 2021 May; 21(1):639. PubMed ID: 34051750
[TBL] [Abstract][Full Text] [Related]
18. Development of a Nomogram Model for Treatment of Nonmetastatic Nasopharyngeal Carcinoma.
Zhang LL; Xu F; Song D; Huang MY; Huang YS; Deng QL; Li YY; Shao JY
JAMA Netw Open; 2020 Dec; 3(12):e2029882. PubMed ID: 33306119
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma.
Zhao X; Liang YJ; Zhang X; Wen DX; Fan W; Tang LQ; Dong D; Tian J; Mai HQ
Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2972-2982. PubMed ID: 35471254
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]