BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 38286865)

  • 1. CT-based peritumoral radiomics nomogram on prediction of response and survival to induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma.
    Zeng F; Ye Z; Zhou Q
    J Cancer Res Clin Oncol; 2024 Jan; 150(2):50. PubMed ID: 38286865
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Nomograms based on multiparametric MRI radiomics integrated with clinical-radiological features for predicting the response to induction chemotherapy in nasopharyngeal carcinoma.
    Chen Z; Wang Z; Liu S; Zhang S; Zhou Y; Zhang R; Yang W
    Eur J Radiol; 2024 Jun; 175():111438. PubMed ID: 38613869
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Radiomics-based nomogram guides adaptive de-intensification in locoregionally advanced nasopharyngeal carcinoma following induction chemotherapy.
    Wang SX; Yang Y; Xie H; Yang X; Liu ZQ; Li HJ; Huang WJ; Luo WJ; Lei YM; Sun Y; Ma J; Chen YF; Liu LZ; Mao YP
    Eur Radiol; 2024 Mar; ():. PubMed ID: 38514481
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. CT-Based Radiomics Nomogram for Prediction of Progression-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma.
    Yan C; Shen DS; Chen XB; Su DK; Liang ZG; Chen KH; Li L; Liang X; Liao H; Zhu XD
    Cancer Manag Res; 2021; 13():6911-6923. PubMed ID: 34512030
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. A dynamic nomogram combining tumor stage and magnetic resonance imaging features to predict the response to induction chemotherapy in locally advanced nasopharyngeal carcinoma.
    Jiang Y; Liang Z; Chen K; Li Y; Yang J; Qu S; Li L; Zhu X
    Eur Radiol; 2023 Mar; 33(3):2171-2184. PubMed ID: 36355201
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A contrast-enhanced CT radiomics-based model to identify candidates for deintensified chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma patients.
    Lin Y; Yang Z; Chen J; Li M; Cai Z; Wang X; Zhai T; Lin Z
    Eur Radiol; 2024 Feb; 34(2):1302-1313. PubMed ID: 37594526
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. Computed tomography-based deep-learning prediction of induction chemotherapy treatment response in locally advanced nasopharyngeal carcinoma.
    Yang Y; Wang M; Qiu K; Wang Y; Ma X
    Strahlenther Onkol; 2022 Feb; 198(2):183-193. PubMed ID: 34817635
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.