BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

396 related articles for article (PubMed ID: 37041545)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Prediction of platinum resistance for advanced high-grade serous ovarian carcinoma using MRI-based radiomics nomogram.
    Li H; Cai S; Deng L; Xiao Z; Guo Q; Qiang J; Gong J; Gu Y; Liu Z
    Eur Radiol; 2023 Aug; 33(8):5298-5308. PubMed ID: 36995415
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma.
    Hu C; Zheng D; Cao X; Pang P; Fang Y; Lu T; Chen Y
    Front Oncol; 2021; 11():740776. PubMed ID: 34790570
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
    Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
    World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a
    Liu H; Cui Y; Chang C; Zhou Z; Zhang Y; Ma C; Yin Y; Wang R
    BMC Cancer; 2024 Jan; 24(1):150. PubMed ID: 38291351
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of therapeutic response of unresectable hepatocellular carcinoma to hepatic arterial infusion chemotherapy based on pretherapeutic MRI radiomics and Albumin-Bilirubin score.
    Zhao Y; Huang F; Liu S; Jian L; Xia X; Lin H; Liu J
    J Cancer Res Clin Oncol; 2023 Jul; 149(8):5181-5192. PubMed ID: 36369395
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinical characteristics and MRI based radiomics nomograms can predict iPFS and short-term efficacy of third-generation EGFR-TKI in EGFR-mutated lung adenocarcinoma with brain metastases.
    Qi H; Hou Y; Zheng Z; Zheng M; Qiao Q; Wang Z; Sun X; Xing L
    BMC Cancer; 2024 Mar; 24(1):362. PubMed ID: 38515096
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MRI-based random survival Forest model improves prediction of progression-free survival to induction chemotherapy plus concurrent Chemoradiotherapy in Locoregionally Advanced nasopharyngeal carcinoma.
    Pei W; Wang C; Liao H; Chen X; Wei Y; Huang X; Liang X; Bao H; Su D; Jin G
    BMC Cancer; 2022 Jul; 22(1):739. PubMed ID: 35794590
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 20.