BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

431 related articles for article (PubMed ID: 35311094)

  • 1. A Promising Preoperative Prediction Model for Microvascular Invasion in Hepatocellular Carcinoma Based on an Extreme Gradient Boosting Algorithm.
    Liu W; Zhang L; Xin Z; Zhang H; You L; Bai L; Zhou J; Ying B
    Front Oncol; 2022; 12():852736. PubMed ID: 35311094
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Derivation and validation of machine learning models for preoperative estimation of microvascular invasion risk in hepatocellular carcinoma.
    Chen Z; Zuo X; Zhang Y; Han G; Zhang L; Ding W; Wu J; Wang X
    Ann Transl Med; 2023 Mar; 11(6):249. PubMed ID: 37082689
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MRI-based clinical-radiomics nomogram model for predicting microvascular invasion in hepatocellular carcinoma.
    Wang Q; Zhou Y; Yang H; Zhang J; Zeng X; Tan Y
    Med Phys; 2024 Apr; ():. PubMed ID: 38642400
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
    Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
    Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
    [No Abstract]   [Full Text] [Related]  

  • 5. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
    Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
    Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning.
    Jiang YQ; Cao SE; Cao S; Chen JN; Wang GY; Shi WQ; Deng YN; Cheng N; Ma K; Zeng KN; Yan XJ; Yang HZ; Huan WJ; Tang WM; Zheng Y; Shao CK; Wang J; Yang Y; Chen GH
    J Cancer Res Clin Oncol; 2021 Mar; 147(3):821-833. PubMed ID: 32852634
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Novel Nomogram Based on Inflammatory Markers for the Preoperative Prediction of Microvascular Invasion in Solitary Primary Hepatocellular Carcinoma.
    Gu Y; Zheng F; Zhang Y; Qiao S
    Cancer Manag Res; 2022; 14():895-907. PubMed ID: 35256861
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatitis B Virus-Related Hepatocellular Carcinoma Within the Milan Criteria.
    Lei Z; Li J; Wu D; Xia Y; Wang Q; Si A; Wang K; Wan X; Lau WY; Wu M; Shen F
    JAMA Surg; 2016 Apr; 151(4):356-63. PubMed ID: 26579636
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI.
    Feng ST; Jia Y; Liao B; Huang B; Zhou Q; Li X; Wei K; Chen L; Li B; Wang W; Chen S; He X; Wang H; Peng S; Chen ZB; Tang M; Chen Z; Hou Y; Peng Z; Kuang M
    Eur Radiol; 2019 Sep; 29(9):4648-4659. PubMed ID: 30689032
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prognosis prediction and risk stratification of transarterial chemoembolization or intraarterial chemotherapy for unresectable hepatocellular carcinoma based on machine learning.
    Liu W; Wei R; Chen J; Li Y; Pang H; Zhang W; An C; Li C
    Eur Radiol; 2024 Jan; ():. PubMed ID: 38291256
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Influence of different region of interest sizes on CT-based radiomics model for microvascular invasion prediction in hepatocellular carcinoma.
    Zhao H; Feng Z; Li H; Yao S; Zheng W; Rong P
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1049-1057. PubMed ID: 36097772
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of a nomogram combining hematological and imaging features for preoperative prediction of microvascular invasion in hepatocellular carcinoma patients.
    Zhou Q; Zhou C; Yin Y; Chen W; Liu C; Atyah M; Weng J; Shen Y; Yi Y; Ren N
    Ann Transl Med; 2021 Mar; 9(5):402. PubMed ID: 33842623
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-scale and multi-parametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm.
    Chong HH; Yang L; Sheng RF; Yu YL; Wu DJ; Rao SX; Yang C; Zeng MS
    Eur Radiol; 2021 Jul; 31(7):4824-4838. PubMed ID: 33447861
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
    Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
    Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
    Wang H; Wu W; Han C; Zheng J; Cai X; Chang S; Shi J; Xu N; Ai Z
    JMIR Med Inform; 2021 Nov; 9(11):e30079. PubMed ID: 34806984
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules.
    Li W; Hong T; Fang J; Liu W; Liu Y; He C; Li X; Xu C; Wang B; Chen Y; Sun C; Li W; Kang W; Yin C
    Front Oncol; 2022; 12():968784. PubMed ID: 36568189
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma.
    Dong B; Zhang H; Duan Y; Yao S; Chen Y; Zhang C
    J Transl Med; 2024 May; 22(1):455. PubMed ID: 38741163
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and validation of a prediction model for microvascular invasion in hepatocellular carcinoma.
    Wang L; Jin YX; Ji YZ; Mu Y; Zhang SC; Pan SY
    World J Gastroenterol; 2020 Apr; 26(14):1647-1659. PubMed ID: 32327913
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diagnostic Accuracy of Artificial Intelligence Based on Imaging Data for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.
    Zhang J; Huang S; Xu Y; Wu J
    Front Oncol; 2022; 12():763842. PubMed ID: 35280776
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preoperative prediction of microvascular invasion classification in hepatocellular carcinoma based on clinical features and MRI parameters.
    Li MG; Zhang YN; Hu YY; Li L; Lyu HL
    Oncol Lett; 2024 Jul; 28(1):310. PubMed ID: 38784602
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.