BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

249 related articles for article (PubMed ID: 33882240)

  • 1. MRI-based radiomics as response predictor to radiochemotherapy for metastatic cervical lymph node in nasopharyngeal carcinoma.
    Xu H; Liu J; Huang Y; Zhou P; Ren J
    Br J Radiol; 2021 Jun; 94(1122):20201212. PubMed ID: 33882240
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Magnetic resonance imaging based on radiomics for differentiating T1-category nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia: a multicenter study.
    Cheng J; Su W; Wang Y; Zhan Y; Wang Y; Yan S; Yuan Y; Chen L; Wei Z; Zhang S; Gao X; Tang Z
    Jpn J Radiol; 2024 Feb; ():. PubMed ID: 38409300
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomic analysis of MRI for prediction of response to induction chemotherapy in nasopharyngeal carcinoma patients.
    Wang A; Xu H; Zhang C; Ren J; Liu J; Zhou P
    Clin Radiol; 2023 Sep; 78(9):e644-e653. PubMed ID: 37331848
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The application of radiomics machine learning models based on multimodal MRI with different sequence combinations in predicting cervical lymph node metastasis in oral tongue squamous cell carcinoma patients.
    Liu S; Zhang A; Xiong J; Su X; Zhou Y; Li Y; Zhang Z; Li Z; Liu F
    Head Neck; 2024 Mar; 46(3):513-527. PubMed ID: 38108536
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MRI Texture Analysis for Preoperative Prediction of Lymph Node Metastasis in Patients with Nonsquamous Cell Cervical Carcinoma.
    Xiao ML; Wei Y; Zhang J; Jian JM; Song Y; Lin ZJ; Qian L; Zhang GF; Qiang JW
    Acad Radiol; 2022 Nov; 29(11):1661-1671. PubMed ID: 35151550
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer.
    Kan Y; Dong D; Zhang Y; Jiang W; Zhao N; Han L; Fang M; Zang Y; Hu C; Tian J; Li C; Luo Y
    J Magn Reson Imaging; 2019 Jan; 49(1):304-310. PubMed ID: 30102438
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MRI-based radiomics analysis to evaluate the clinicopathological characteristics of cervical carcinoma: a multicenter study.
    Liu Y; Song T; Dong TF; Zhang W; Wen G
    Acta Radiol; 2023 Jan; 64(1):395-403. PubMed ID: 34918963
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
    Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
    J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma.
    Luo Z; Li J; Liao Y; Liu R; Shen X; Chen W
    Front Oncol; 2022; 12():802234. PubMed ID: 35273911
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer.
    Qu J; Shen C; Qin J; Wang Z; Liu Z; Guo J; Zhang H; Gao P; Bei T; Wang Y; Liu H; Kamel IR; Tian J; Li H
    Eur Radiol; 2019 Feb; 29(2):906-914. PubMed ID: 30039220
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
    Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
    JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.
    Liu S; Zhou Y; Wang C; Shen J; Zheng Y
    BMC Med Imaging; 2023 Aug; 23(1):101. PubMed ID: 37528338
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: a multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer.
    Usuzaki T; Takahashi K; Inamori R; Morishita Y; Shizukuishi T; Takagi H; Ishikuro M; Obara T; Takase K
    Neuroradiology; 2024 May; 66(5):761-773. PubMed ID: 38472373
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
    Liu C; Ding J; Spuhler K; Gao Y; Serrano Sosa M; Moriarty M; Hussain S; He X; Liang C; Huang C
    J Magn Reson Imaging; 2019 Jan; 49(1):131-140. PubMed ID: 30171822
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Noninvasive Evaluation of the Notch Signaling Pathway via Radiomic Signatures Based on Multiparametric MRI in Association With Biological Functions of Patients With Glioma: A Multi-institutional Study.
    Shen N; Lv W; Li S; Liu D; Xie Y; Zhang J; Zhang J; Jiang J; Jiang R; Zhu W
    J Magn Reson Imaging; 2023 Mar; 57(3):884-896. PubMed ID: 35929909
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.