BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

471 related articles for article (PubMed ID: 30928358)

  • 1. Pretreatment MRI radiomics analysis allows for reliable prediction of local recurrence in non-metastatic T4 nasopharyngeal carcinoma.
    Zhang LL; Huang MY; Li Y; Liang JH; Gao TS; Deng B; Yao JJ; Lin L; Chen FP; Huang XD; Kou J; Li CF; Xie CM; Lu Y; Sun Y
    EBioMedicine; 2019 Apr; 42():270-280. PubMed ID: 30928358
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study.
    Zhang L; Dong D; Li H; Tian J; Ouyang F; Mo X; Zhang B; Luo X; Lian Z; Pei S; Dong Y; Huang W; Liang C; Liu J; Zhang S
    EBioMedicine; 2019 Feb; 40():327-335. PubMed ID: 30642750
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MRI-based radiomics signature is a quantitative prognostic biomarker for nasopharyngeal carcinoma.
    Ming X; Oei RW; Zhai R; Kong F; Du C; Hu C; Hu W; Zhang Z; Ying H; Wang J
    Sci Rep; 2019 Jul; 9(1):10412. PubMed ID: 31320729
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Development and Validation of Web-Based Nomograms to Precisely Predict Survival Outcomes of Non-metastatic Nasopharyngeal Carcinoma in an Endemic Area.
    Yao JJ; Lin L; Gao TS; Zhang WJ; Lawrence WR; Ma J; Sun Y
    Cancer Res Treat; 2021 Jul; 53(3):657-670. PubMed ID: 33285052
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Prognostic Nomogram for Patients with Nasopharyngeal Carcinoma after Intensity-Modulated Radiotherapy.
    Wu S; Xia B; Han F; Xie R; Song T; Lu L; Yu W; Deng X; He Q; Zhao C; Xie C
    PLoS One; 2015; 10(8):e0134491. PubMed ID: 26248338
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 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. 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. Development and Validation of a Prognostic Nomogram Based on Residual Tumor in Patients With Nondisseminated Nasopharyngeal Carcinoma.
    Liao PY; Dong ZY; Huang CT; Tang XR; Liu GD; Zhu-Liu ; Wu DH
    Technol Cancer Res Treat; 2020; 19():1533033820957035. PubMed ID: 32945239
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Establishment and Validation of a Nomogram for Nasopharyngeal Carcinoma Patients Concerning the Prognostic Effect of Parotid Lymph Node Metastases.
    Lin C; Sun XS; Liu SL; Li XY; Lu N; Li XL; Tang LQ; Guo L
    Cancer Res Treat; 2020 Jul; 52(3):855-866. PubMed ID: 32164051
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Prognostic value of a microRNA signature in nasopharyngeal carcinoma: a microRNA expression analysis.
    Liu N; Chen NY; Cui RX; Li WF; Li Y; Wei RR; Zhang MY; Sun Y; Huang BJ; Chen M; He QM; Jiang N; Chen L; Cho WC; Yun JP; Zeng J; Liu LZ; Li L; Guo Y; Wang HY; Ma J
    Lancet Oncol; 2012 Jun; 13(6):633-41. PubMed ID: 22560814
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma.
    Lv W; Yuan Q; Wang Q; Ma J; Feng Q; Chen W; Rahmim A; Lu L
    Mol Imaging Biol; 2019 Oct; 21(5):954-964. PubMed ID: 30671740
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 24.