BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 37338558)

  • 1. Performances and variability of CT radiomics for the prediction of microvascular invasion and survival in patients with HCC: a matter of chance or standardisation?
    Cannella R; Santinha J; Bèaufrere A; Ronot M; Sartoris R; Cauchy F; Bouattour M; Matos C; Papanikolaou N; Vilgrain V; Dioguardi Burgio M
    Eur Radiol; 2023 Nov; 33(11):7618-7628. PubMed ID: 37338558
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma.
    Xu X; Zhang HL; Liu QP; Sun SW; Zhang J; Zhu FP; Yang G; Yan X; Zhang YD; Liu XS
    J Hepatol; 2019 Jun; 70(6):1133-1144. PubMed ID: 30876945
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma.
    Yang Y; Zhou Y; Zhou C; Ma X
    Eur J Surg Oncol; 2022 May; 48(5):1068-1077. PubMed ID: 34862094
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma.
    Peng J; Zhang J; Zhang Q; Xu Y; Zhou J; Liu L
    Diagn Interv Radiol; 2018; 24(3):121-127. PubMed ID: 29770763
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of MRI and CT for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma Based on a Non-Radiomics and Radiomics Method: Which Imaging Modality Is Better?
    Meng XP; Wang YC; Zhou JY; Yu Q; Lu CQ; Xia C; Tang TY; Xu J; Sun K; Xiao W; Ju S
    J Magn Reson Imaging; 2021 Aug; 54(2):526-536. PubMed ID: 33622022
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.
    Song D; Wang Y; Wang W; Wang Y; Cai J; Zhu K; Lv M; Gao Q; Zhou J; Fan J; Rao S; Wang M; Wang X
    J Cancer Res Clin Oncol; 2021 Dec; 147(12):3757-3767. PubMed ID: 33839938
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [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]  

  • 11. Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model.
    Xia TY; Zhou ZH; Meng XP; Zha JH; Yu Q; Wang WL; Song Y; Wang YC; Tang TY; Xu J; Zhang T; Long XY; Liang Y; Xiao WB; Ju SH
    Radiology; 2023 May; 307(4):e222729. PubMed ID: 37097141
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiparametric MRI-based radiomics for the prediction of microvascular invasion in hepatocellular carcinoma.
    Jiang T; He S; Yang H; Dong Y; Yu T; Luo Y; Jiang X
    Acta Radiol; 2023 Feb; 64(2):456-466. PubMed ID: 35354318
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.
    Liu Q; Li J; Liu F; Yang W; Ding J; Chen W; Wei Y; Li B; Zheng L
    Cancer Imaging; 2020 Nov; 20(1):82. PubMed ID: 33198809
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MRI-based radiomics signature: a potential imaging biomarker for prediction of microvascular invasion in combined hepatocellular-cholangiocarcinoma.
    Zhou G; Zhou Y; Xu X; Zhang J; Xu C; Xu P; Zhu F
    Abdom Radiol (NY); 2024 Jan; 49(1):49-59. PubMed ID: 37831165
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multitask deep learning for prediction of microvascular invasion and recurrence-free survival in hepatocellular carcinoma based on MRI images.
    Wang F; Zhan G; Chen QQ; Xu HY; Cao D; Zhang YY; Li YH; Zhang CJ; Jin Y; Ji WB; Ma JB; Yang YJ; Zhou W; Peng ZY; Liang X; Deng LP; Lin LF; Chen YW; Hu HJ
    Liver Int; 2024 Jun; 44(6):1351-1362. PubMed ID: 38436551
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics analysis of [
    Li Y; Zhang Y; Fang Q; Zhang X; Hou P; Wu H; Wang X
    Eur J Nucl Med Mol Imaging; 2021 Jul; 48(8):2599-2614. PubMed ID: 33416951
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.
    Zhang C; Ma LD; Zhang XL; Lei C; Yuan SS; Li JP; Geng ZJ; Li XM; Quan XY; Zheng C; Geng YY; Zhang J; Zheng QL; Hou J; Xie SY; Lu LH; Xie CM
    J Magn Reson Imaging; 2024 Jul; 60(1):231-242. PubMed ID: 37888871
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Comparison of non-radiomics imaging features and radiomics models based on contrast-enhanced ultrasound and Gd-EOB-DTPA-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma within 5 cm.
    Zheng R; Zhang X; Liu B; Zhang Y; Shen H; Xie X; Li S; Huang G
    Eur Radiol; 2023 Sep; 33(9):6462-6472. PubMed ID: 37338553
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma based on kupffer phase radiomics features of sonazoid contrast-enhanced ultrasound (SCEUS): A prospective study.
    Dong Y; Zuo D; Qiu YJ; Cao JY; Wang HZ; Yu LY; Wang WP
    Clin Hemorheol Microcirc; 2022; 81(1):97-107. PubMed ID: 35001883
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.