BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

302 related articles for article (PubMed ID: 31681588)

  • 1. Pretreatment Prediction of Adaptive Radiation Therapy Eligibility Using MRI-Based Radiomics for Advanced Nasopharyngeal Carcinoma Patients.
    Yu TT; Lam SK; To LH; Tse KY; Cheng NY; Fan YN; Lo CL; Or KW; Chan ML; Hui KC; Chan FC; Hui WM; Ngai LK; Lee FK; Au KH; Yip CW; Zhang Y; Cai J
    Front Oncol; 2019; 9():1050. PubMed ID: 31681588
    [No Abstract]   [Full Text] [Related]  

  • 2. Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics.
    Zhang B; Ouyang F; Gu D; Dong Y; Zhang L; Mo X; Huang W; Zhang S
    Oncotarget; 2017 Sep; 8(42):72457-72465. PubMed ID: 29069802
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
    Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multiparametric MRI Radiomics for the Early Prediction of Response to Chemoradiotherapy in Patients With Postoperative Residual Gliomas: An Initial Study.
    Zhang Z; He K; Wang Z; Zhang Y; Wu D; Zeng L; Zeng J; Ye Y; Gu T; Xiao X
    Front Oncol; 2021; 11():779202. PubMed ID: 34869030
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Can clinical radiomics nomogram based on 3D multiparametric MRI features and clinical characteristics estimate early recurrence of pelvic chondrosarcoma?
    Yin P; Mao N; Liu X; Sun C; Wang S; Chen L; Hong N
    J Magn Reson Imaging; 2020 Feb; 51(2):435-445. PubMed ID: 31215096
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy.
    Lam SK; Zhang Y; Zhang J; Li B; Sun JC; Liu CY; Chou PH; Teng X; Ma ZR; Ni RY; Zhou T; Peng T; Xiao HN; Li T; Ren G; Cheung AL; Lee FK; Yip CW; Au KH; Lee VH; Chang AT; Chan LW; Cai J
    Front Oncol; 2021; 11():792024. PubMed ID: 35174068
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Radiomics Analysis and Correlation With Metabolic Parameters in Nasopharyngeal Carcinoma Based on PET/MR Imaging.
    Feng Q; Liang J; Wang L; Niu J; Ge X; Pang P; Ding Z
    Front Oncol; 2020; 10():1619. PubMed ID: 33014815
    [No Abstract]   [Full Text] [Related]  

  • 15. MRI-based clinical radiomics nomogram may predict the early response after concurrent chemoradiotherapy in locally advanced nasopharyngeal carcinoma.
    Wu M; Xu W; Fei Y; Li Y; Yuan J; Qiu L; Zhang Y; Chen G; Cheng Y; Cao Y; Sun X; Zhou S
    Front Oncol; 2023; 13():1192953. PubMed ID: 37256173
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomic Nomogram: Pretreatment Evaluation of Local Recurrence in Nasopharyngeal Carcinoma based on MR Imaging.
    Zhang L; Zhou H; Gu D; Tian J; Zhang B; Dong D; Mo X; Liu J; Luo X; Pei S; Dong Y; Huang W; Chen Q; Liang C; Lian Z; Zhang S
    J Cancer; 2019; 10(18):4217-4225. PubMed ID: 31413740
    [No Abstract]   [Full Text] [Related]  

  • 17. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomic Model for Discrimination of Pathological Subtypes of Craniopharyngioma.
    Huang ZS; Xiao X; Li XD; Mo HZ; He WL; Deng YH; Lu LJ; Wu YK; Liu H
    J Magn Reson Imaging; 2021 Nov; 54(5):1541-1550. PubMed ID: 34085336
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Radiomics features of ascending and descending nasopharyngeal carcinoma.
    Yao J; Yang P; Zhao L; Jin H; Xie X; Yang J; Lou F; Zhang R; Xu Z; Chen C
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2020 Jul; 45(7):819-826. PubMed ID: 32879076
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 16.