These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

240 related articles for article (PubMed ID: 33014815)

  • 1. 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]  

  • 2. Value of [
    Li K; Sun H; Lu Z; Xin J; Zhang L; Guo Y; Guo Q
    Eur J Radiol; 2018 Sep; 106():160-166. PubMed ID: 30150039
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters.
    Feng Q; Liang J; Wang L; Ge X; Ding Z; Wu H
    BMC Med Imaging; 2022 Aug; 22(1):150. PubMed ID: 36038819
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts ALK Rearrangement Status in Lung Adenocarcinoma.
    Chang C; Sun X; Wang G; Yu H; Zhao W; Ge Y; Duan S; Qian X; Wang R; Lei B; Wang L; Liu L; Ruan M; Yan H; Liu C; Chen J; Xie W
    Front Oncol; 2021; 11():603882. PubMed ID: 33738250
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Positron Emission Tomography/Magnetic Resonance Imaging Radiomics in Predicting Lung Adenocarcinoma and Squamous Cell Carcinoma.
    Tang X; Liang J; Xiang B; Yuan C; Wang L; Zhu B; Ge X; Fang M; Ding Z
    Front Oncol; 2022; 12():803824. PubMed ID: 35186742
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
    Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
    J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Extracting and Selecting Robust Radiomic Features from PET/MR Images in Nasopharyngeal Carcinoma.
    Yang P; Xu L; Cao Z; Wan Y; Xue Y; Jiang Y; Yen E; Luo C; Wang J; Rong Y; Niu T
    Mol Imaging Biol; 2020 Dec; 22(6):1581-1591. PubMed ID: 32557189
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics.
    Chen W; Wang S; Dong D; Gao X; Zhou K; Li J; Lv B; Li H; Wu X; Fang M; Tian J; Xu M
    Front Oncol; 2019; 9():1265. PubMed ID: 31824847
    [No Abstract]   [Full Text] [Related]  

  • 13. Use of Radiomics Combined With Machine Learning Method in the Recurrence Patterns After Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma: A Preliminary Study.
    Li S; Wang K; Hou Z; Yang J; Ren W; Gao S; Meng F; Wu P; Liu B; Liu J; Yan J
    Front Oncol; 2018; 8():648. PubMed ID: 30622931
    [No Abstract]   [Full Text] [Related]  

  • 14. Identifying pathological subtypes of non-small-cell lung cancer by using the radiomic features of
    Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
    Transl Cancer Res; 2019 Sep; 8(5):1741-1749. PubMed ID: 35116924
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer.
    Xu H; Wang A; Zhang C; Ren J; Zhou P; Liu J
    BMC Med Imaging; 2023 May; 23(1):66. PubMed ID: 37254101
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
    Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
    Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Prediction Breast Molecular Typing of Invasive Ductal Carcinoma Based on Dynamic Contrast Enhancement Magnetic Resonance Imaging Radiomics Characteristics: A Feasibility Study.
    Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X
    Front Oncol; 2022; 12():799232. PubMed ID: 35664741
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma.
    Li H; Huang W; Wang S; Balasubramanian PS; Wu G; Fang M; Xie X; Zhang J; Dong D; Tian J; Chen F
    Vis Comput Ind Biomed Art; 2023 Dec; 6(1):23. PubMed ID: 38036750
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CT-Imaging Based Analysis of Invasive Lung Adenocarcinoma Presenting as Ground Glass Nodules Using Peri- and Intra-nodular Radiomic Features.
    Wu L; Gao C; Xiang P; Zheng S; Pang P; Xu M
    Front Oncol; 2020; 10():838. PubMed ID: 32537436
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 12.