191 related articles for article (PubMed ID: 33420610)
1. Nomogram for the prediction of primary distant metastasis of nasopharyngeal carcinoma to guide individualized application of FDG PET/CT.
Xiao BB; Lin DF; Sun XS; Zhang X; Guo SS; Liu LT; Luo DH; Sun R; Wen YF; Li JB; Lv XF; Han LJ; Yuan L; Liu SL; Tang QN; Liang YJ; Li XY; Guo L; Chen QY; Fan W; Mai HQ; Tang LQ
Eur J Nucl Med Mol Imaging; 2021 Jul; 48(8):2586-2598. PubMed ID: 33420610
[TBL] [Abstract][Full Text] [Related]
2. Establishment and validation of a nomogram with intratumoral heterogeneity derived from
Gu B; Zhang J; Ma G; Song S; Shi L; Zhang Y; Yang Z
BMC Cancer; 2020 Jan; 20(1):37. PubMed ID: 31941465
[TBL] [Abstract][Full Text] [Related]
3. Radiomics-clinical nomogram based on pretreatment 18F-FDG PET-CT radiomics features for individualized prediction of local failure in nasopharyngeal carcinoma.
Ding J; Li Z; Lin Y; Huang C; Chen J; Hong J; Fei Z; Zhou Q; Chen C
Sci Rep; 2023 Oct; 13(1):18167. PubMed ID: 37875498
[TBL] [Abstract][Full Text] [Related]
4. Establishment and Validation of Prognostic Nomograms for Endemic Nasopharyngeal Carcinoma.
Tang LQ; Li CF; Li J; Chen WH; Chen QY; Yuan LX; Lai XP; He Y; Xu YX; Hu DP; Wen SH; Peng YT; Zhang L; Guo SS; Liu LT; Guo L; Wu YS; Luo DH; Huang PY; Mo HY; Xiang YQ; Sun R; Chen MY; Hua YJ; Lv X; Wang L; Zhao C; Cao KJ; Qian CN; Guo X; Zeng YX; Mai HQ; Zeng MS
J Natl Cancer Inst; 2016 Jan; 108(1):. PubMed ID: 26467665
[TBL] [Abstract][Full Text] [Related]
5. Establishment and validation of a prognostic nomogram to predict early metastasis in nasopharyngeal carcinoma patients within six months after radiotherapy and to guide intensive treatment.
Lu ZJ; Liu LT; Sun XS; Guo SS; Yang Q; Liu SL; Li XY; Qiu HZ; Yang ZC; Xiao BB; Lin C; Luo DH; Sun R; Lin HX; Chen QY; Tang LQ; Guo L; Mai HQ
Radiother Oncol; 2021 Sep; 162():202-211. PubMed ID: 33839207
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Head and neck MRI-based T stage and [
Xie HJ; Sun XS; Zhang X; Xiao BB; Lin DF; Lin XP; Lv XF; Liu LZ; Han F; Zou RH; Li JB; Fan W; Chen QY; Mai HQ; Tang LQ
Eur Radiol; 2023 Nov; 33(11):7952-7966. PubMed ID: 37314471
[TBL] [Abstract][Full Text] [Related]
8. Prognostic nomogram for patients with Nasopharyngeal Carcinoma incorporating hematological biomarkers and clinical characteristics.
Li J; Chen S; Peng S; Liu Y; Xing S; He X; Chen H
Int J Biol Sci; 2018; 14(5):549-556. PubMed ID: 29805306
[TBL] [Abstract][Full Text] [Related]
9. Development and external validation of nomograms to predict the risk of skeletal metastasis at the time of diagnosis and skeletal metastasis-free survival in nasopharyngeal carcinoma.
Yang L; Xia L; Wang Y; He S; Chen H; Liang S; Peng P; Hong S; Chen Y
BMC Cancer; 2017 Sep; 17(1):628. PubMed ID: 28874126
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Selectively recommend
Chen C; Xu T; Qiu X; Xie S; You Z; Hu Y; Zheng Y; Liang Z; Huang C; Chen T; Li L; Liu J; Fei Z
Radiat Oncol; 2021 Nov; 16(1):229. PubMed ID: 34838075
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Nasopharyngeal necrosis contributes to overall survival in nasopharyngeal carcinoma without distant metastasis: a comprehensive nomogram model.
Sun XS; Xiao ZW; Liu SL; Sun R; Luo DH; Chen QY; Mai HQ
Eur Radiol; 2023 May; 33(5):3682-3692. PubMed ID: 36735041
[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. Whole-body
Ren YY; Li YC; Wu HB; Wang QS; Han YJ; Zhou WL; Li HS
Eur J Radiol; 2017 Apr; 89():200-207. PubMed ID: 28267540
[TBL] [Abstract][Full Text] [Related]
17. Regional lymph node density-based nomogram predicts prognosis in nasopharyngeal carcinoma patients without distant metastases.
Ma J; Zhao R; Wu YL; Liu Y; Jin GQ; Su DK
Cancer Imaging; 2023 Dec; 23(1):123. PubMed ID: 38102725
[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. Prognosis viewing for nasopharyngeal carcinoma treated with intensity-modulated radiation therapy: application of nomogram and decision curve analysis.
Fei Z; Qiu X; Li M; Chen C; Li Y; Huang Y
Jpn J Clin Oncol; 2020 Feb; 50(2):159-168. PubMed ID: 31711182
[TBL] [Abstract][Full Text] [Related]
20. Significance of radiologic extranodal extension in locoregionally advanced nasopharyngeal carcinoma with lymph node metastasis: a comprehensive nomogram.
Ding J; Chen J; Lin Y; Hong J; Huang C; Fei Z; Chen C
Braz J Otorhinolaryngol; 2024; 90(2):101363. PubMed ID: 38101121
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
