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 *

202 related articles for article (PubMed ID: 38803534)

  • 1. MRI-based intratumoral and peritumoral radiomics for preoperative prediction of glioma grade: a multicenter study.
    Tan R; Sui C; Wang C; Zhu T
    Front Oncol; 2024; 14():1401977. PubMed ID: 38803534
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images.
    Cheng J; Liu J; Yue H; Bai H; Pan Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(2):1084-1095. PubMed ID: 33104503
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
    Xu H; Liu J; Chen Z; Wang C; Liu Y; Wang M; Zhou P; Luo H; Ren J
    Eur Radiol; 2022 Jul; 32(7):4845-4856. PubMed ID: 35079887
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
    Wang X; Zhao X; Li Q; Xia W; Peng Z; Zhang R; Li Q; Jian J; Wang W; Tang Y; Liu S; Gao X
    Eur Radiol; 2019 Nov; 29(11):6049-6058. PubMed ID: 30887209
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MRI-based multiregional radiomics for predicting lymph nodes status and prognosis in patients with resectable rectal cancer.
    Li H; Chen XL; Liu H; Lu T; Li ZL
    Front Oncol; 2022; 12():1087882. PubMed ID: 36686763
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multiparametric MRI-based intratumoral and peritumoral radiomics for predicting the pathological differentiation of hepatocellular carcinoma.
    Liu HF; Wang M; Wang Q; Lu Y; Lu YJ; Sheng Y; Xing F; Zhang JL; Yu SN; Xing W
    Insights Imaging; 2024 Mar; 15(1):97. PubMed ID: 38536542
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
    Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
    Breast Cancer Res; 2017 May; 19(1):57. PubMed ID: 28521821
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma.
    Shang Y; Chen W; Li G; Huang Y; Wang Y; Kui X; Li M; Zheng H; Zhao W; Liu J
    Radiol Med; 2023 Dec; 128(12):1483-1496. PubMed ID: 37749461
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study.
    Ding J; Zhao R; Qiu Q; Chen J; Duan J; Cao X; Yin Y
    Quant Imaging Med Surg; 2022 Feb; 12(2):1517-1528. PubMed ID: 35111644
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Intratumoral and Peritumoral Edema Radiomics Based on Fat-Suppressed T2- Weighted Imaging for Preoperative Prediction of Triple-Negative Breast Cancer.
    Sun R; Hu Y; Wang X; Huang Z; Yang Y; Zhang S; Shi F; Chen L; Liu H; Wang X
    Curr Med Imaging; 2024 Apr; ():. PubMed ID: 38644724
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
    Tian Q; Yan LF; Zhang X; Zhang X; Hu YC; Han Y; Liu ZC; Nan HY; Sun Q; Sun YZ; Yang Y; Yu Y; Zhang J; Hu B; Xiao G; Chen P; Tian S; Xu J; Wang W; Cui GB
    J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
    Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
    J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Intra- and Peritumoral Radiomics Model Based on Early DCE-MRI for Preoperative Prediction of Molecular Subtypes in Invasive Ductal Breast Carcinoma: A Multitask Machine Learning Study.
    Zhang S; Wang X; Yang Z; Zhu Y; Zhao N; Li Y; He J; Sun H; Xie Z
    Front Oncol; 2022; 12():905551. PubMed ID: 35814460
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MRI-based machine learning models predict the malignant biological behavior of meningioma.
    Li M; Liu L; Qi J; Qiao Y; Zeng H; Jiang W; Zhu R; Chen F; Huang H; Wu S
    BMC Med Imaging; 2023 Sep; 23(1):141. PubMed ID: 37759192
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and External Validation of an MRI-based Radiomics Nomogram to Distinguish Circumscribed Astrocytic Gliomas and Diffuse Gliomas: A Multicenter Study.
    Li S; Su X; Peng J; Chen N; Liu Y; Zhang S; Shao H; Tan Q; Yang X; Liu Y; Gong Q; Yue Q
    Acad Radiol; 2024 Feb; 31(2):639-647. PubMed ID: 37507329
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
    Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
    Du P; Liu X; Wu X; Chen J; Cao A; Geng D
    Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiparametric MRI-based radiomic nomogram for predicting HER-2 2+ status of breast cancer.
    Wang H; Sang L; Xu J; Huang C; Huang Z
    Heliyon; 2024 May; 10(9):e29875. PubMed ID: 38720718
    [TBL] [Abstract][Full Text] [Related]  

  • 20. T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.
    Li H; Chai L; Pu H; Yin LL; Li M; Zhang X; Liu YS; Pang MH; Lu T
    Insights Imaging; 2024 Feb; 15(1):57. PubMed ID: 38411722
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.