BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

296 related articles for article (PubMed ID: 31320729)

  • 21. Prognostic significance of maximum primary tumor diameter in nasopharyngeal carcinoma.
    Liang SB; Deng YM; Zhang N; Lu RL; Zhao H; Chen HY; Li SE; Liu DS; Chen Y
    BMC Cancer; 2013 May; 13():260. PubMed ID: 23710879
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Subregional Radiomics Analysis of PET/CT Imaging with Intratumor Partitioning: Application to Prognosis for Nasopharyngeal Carcinoma.
    Xu H; Lv W; Feng H; Du D; Yuan Q; Wang Q; Dai Z; Yang W; Feng Q; Ma J; Lu L
    Mol Imaging Biol; 2020 Oct; 22(5):1414-1426. PubMed ID: 31659574
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics.
    Choe J; Lee SM; Do KH; Kim S; Choi S; Lee JG; Seo JB
    Eur Radiol; 2020 Sep; 30(9):4952-4963. PubMed ID: 32356158
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Prognostic Value of the Pretreatment Primary Lesion Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma.
    Qin Y; Yu X; Hou J; Hu Y; Li F; Wen L; Lu Q; Liu S
    Acad Radiol; 2019 Nov; 26(11):1473-1482. PubMed ID: 30772137
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. 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]  

  • 28. Magnetic resonance imaging-based radiogenomics analysis for predicting prognosis and gene expression profile in advanced nasopharyngeal carcinoma.
    Gao Y; Mao Y; Lu S; Tan L; Li G; Chen J; Huang D; Zhang X; Qiu Y; Liu Y
    Head Neck; 2021 Dec; 43(12):3730-3742. PubMed ID: 34516714
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer.
    Park H; Lim Y; Ko ES; Cho HH; Lee JE; Han BK; Ko EY; Choi JS; Park KW
    Clin Cancer Res; 2018 Oct; 24(19):4705-4714. PubMed ID: 29914892
    [No Abstract]   [Full Text] [Related]  

  • 31. 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]  

  • 32. 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]  

  • 33. Quantitative expression analysis and prognostic significance of the BCL2-associated X gene in nasopharyngeal carcinoma: a retrospective cohort study.
    Kontos CK; Fendri A; Khabir A; Mokdad-Gargouri R; Scorilas A
    BMC Cancer; 2013 Jun; 13():293. PubMed ID: 23777485
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study.
    Tang XR; Li YQ; Liang SB; Jiang W; Liu F; Ge WX; Tang LL; Mao YP; He QM; Yang XJ; Zhang Y; Wen X; Zhang J; Wang YQ; Zhang PP; Sun Y; Yun JP; Zeng J; Li L; Liu LZ; Liu N; Ma J
    Lancet Oncol; 2018 Mar; 19(3):382-393. PubMed ID: 29428165
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.
    Tan Y; Zhang ST; Wei JW; Dong D; Wang XC; Yang GQ; Tian J; Zhang H
    Eur Radiol; 2019 Jul; 29(7):3325-3337. PubMed ID: 30972543
    [TBL] [Abstract][Full Text] [Related]  

  • 36. MRI-based radiomics models can improve prognosis prediction for nasopharyngeal carcinoma with neoadjuvant chemotherapy.
    Zeng F; Lin KR; Jin YB; Li HJ; Quan Q; Su JC; Chen K; Zhang J; Han C; Zhang GY
    Magn Reson Imaging; 2022 May; 88():108-115. PubMed ID: 35181470
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Prognostic Value of Circulating Lipoprotein in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.
    Yao JJ; He XJ; Lawrence WR; Zhang WJ; Kou J; Zhang F; Zhou GQ; Wang SY; Sun Y
    Cell Physiol Biochem; 2018; 48(1):285-292. PubMed ID: 30011397
    [TBL] [Abstract][Full Text] [Related]  

  • 38. The development and external validation of simplified T category classification for nasopharyngeal carcinoma to improve the prognostic value in the intensity-modulated radiotherapy era.
    Tang LL; Liang SB; Huang CL; Zhang F; Xu C; Mao YP; Tian L; Lin AH; Li L; Sun Y; Ma J
    Cancer Med; 2019 May; 8(5):2213-2222. PubMed ID: 30950240
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Expression and prognostic utility of SSX2IP in patients with nasopharyngeal carcinoma.
    Chang SL; Lee SW; Yang SF; Chien CC; Chan TC; Chen TJ; Yang CC; Li CF; Wei YC
    APMIS; 2020 Apr; 128(4):287-297. PubMed ID: 31837171
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Improving survival prediction of high-grade glioma via machine learning techniques based on MRI radiomic, genetic and clinical risk factors.
    Tan Y; Mu W; Wang XC; Yang GQ; Gillies RJ; Zhang H
    Eur J Radiol; 2019 Nov; 120():108609. PubMed ID: 31606714
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.