BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 36803649)

  • 1. Contrast-Enhanced CT Imaging Features Combined with Clinical Factors to Predict the Efficacy and Prognosis for Transarterial Chemoembolization of Hepatocellular Carcinoma.
    Sun Z; Shi Z; Xin Y; Zhao S; Jiang H; Li J; Li J; Jiang H
    Acad Radiol; 2023 Sep; 30 Suppl 1():S81-S91. PubMed ID: 36803649
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computed tomography radiomic features and clinical factors predicting the response to first transarterial chemoembolization in intermediate-stage hepatocellular carcinoma.
    Shi ZX; Li CF; Zhao LF; Sun ZQ; Cui LM; Xin YJ; Wang DQ; Kang TR; Jiang HJ
    Hepatobiliary Pancreat Dis Int; 2024 Aug; 23(4):361-369. PubMed ID: 37429785
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma.
    Niu XK; He XF
    World J Gastroenterol; 2021 Jan; 27(2):189-207. PubMed ID: 33510559
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Preoperative CECT-based Radiomic Signature for Predicting the Response of Transarterial Chemoembolization (TACE) Therapy in Hepatocellular Carcinoma.
    Bai H; Meng S; Xiong C; Liu Z; Shi W; Ren Q; Xia W; Zhao X; Jian J; Song Y; Ni C; Gao X; Li Z
    Cardiovasc Intervent Radiol; 2022 Oct; 45(10):1524-1533. PubMed ID: 35896687
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Efficacy and Interpretability Analysis of Noninvasive Imaging Based on Computed Tomography in Patients with Hepatocellular Carcinoma After Initial Transarterial Chemoembolization.
    Dai Y; Liu D; Xin Y; Li Y; Wang D; He B; Zeng X; Li J; Jia F; Jiang H
    Acad Radiol; 2023 Sep; 30 Suppl 1():S61-S72. PubMed ID: 37393179
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting Survival Using Pretreatment CT for Patients With Hepatocellular Carcinoma Treated With Transarterial Chemoembolization: Comparison of Models Using Radiomics.
    Kim J; Choi SJ; Lee SH; Lee HY; Park H
    AJR Am J Roentgenol; 2018 Nov; 211(5):1026-1034. PubMed ID: 30240304
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical-radiomics predictors to identify the suitability of transarterial chemoembolization treatment in intermediate-stage hepatocellular carcinoma: A multicenter study.
    Wang DD; Zhang JF; Zhang LH; Niu M; Jiang HJ; Jia FC; Feng ST
    Hepatobiliary Pancreat Dis Int; 2023 Dec; 22(6):594-604. PubMed ID: 36456428
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CT-based radiomics nomogram for prediction of survival after transarterial chemoembolization with drug-eluting beads in patients with hepatocellular carcinoma and portal vein tumor thrombus.
    Cheng S; Hu G; Jin Z; Wang Z; Xue H
    Eur Radiol; 2023 Dec; 33(12):8715-8726. PubMed ID: 37436507
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computed tomography texture analysis combined with preoperative clinical factors serve as a predictor of early efficacy of transcatheter arterial chemoembolization in hepatocellular carcinoma.
    Fan XL; Wang YH; Chen YH; Chen BX; Cai JN; Yang JS; Sun X; Yan FR; He BS
    Abdom Radiol (NY); 2023 Jun; 48(6):2008-2018. PubMed ID: 36943423
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging.
    Peng J; Kang S; Ning Z; Deng H; Shen J; Xu Y; Zhang J; Zhao W; Li X; Gong W; Huang J; Liu L
    Eur Radiol; 2020 Jan; 30(1):413-424. PubMed ID: 31332558
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Imaging Predictors of Survival in Patients with Single Small Hepatocellular Carcinoma Treated with Transarterial Chemoembolization.
    Park C; Kim JH; Kim PH; Kim SY; Gwon DI; Chu HH; Park M; Hur J; Kim JY; Kim DJ
    Korean J Radiol; 2021 Feb; 22(2):213-224. PubMed ID: 32901464
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Intratumoral and peritumoral radiomics based on contrast-enhanced MRI for preoperatively predicting treatment response of transarterial chemoembolization in hepatocellular carcinoma.
    Zhao Y; Zhang J; Wang N; Xu Q; Liu Y; Liu J; Zhang Q; Zhang X; Chen A; Chen L; Sheng L; Song Q; Wang F; Guo Y; Liu A
    BMC Cancer; 2023 Oct; 23(1):1026. PubMed ID: 37875815
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
    Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
    World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Preoperative Nomogram Incorporating Clinical Factors, Serological Markers and LI-RADS MRI Features to Predict Early Recurrence of Hepatocellular Carcinoma Treated with Transarterial Chemoembolization.
    Sheng Y; Wang Q; Liu HF; Chen WH; He ZM; Wang Q
    Acad Radiol; 2023 Jul; 30(7):1288-1297. PubMed ID: 36424310
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of tumor response via a pretreatment MRI radiomics-based nomogram in HCC treated with TACE.
    Kong C; Zhao Z; Chen W; Lv X; Shu G; Ye M; Song J; Ying X; Weng Q; Weng W; Fang S; Chen M; Tu J; Ji J
    Eur Radiol; 2021 Oct; 31(10):7500-7511. PubMed ID: 33860832
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MRI-Based Radiomics: Associations With the Recurrence-Free Survival of Patients With Hepatocellular Carcinoma Treated With Conventional Transcatheter Arterial Chemoembolization.
    Song W; Yu X; Guo D; Liu H; Tang Z; Liu X; Zhou J; Zhang H; Liu Y; Liu X
    J Magn Reson Imaging; 2020 Aug; 52(2):461-473. PubMed ID: 31675174
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound.
    Liu D; Liu F; Xie X; Su L; Liu M; Xie X; Kuang M; Huang G; Wang Y; Zhou H; Wang K; Lin M; Tian J
    Eur Radiol; 2020 Apr; 30(4):2365-2376. PubMed ID: 31900703
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Real-time automatic prediction of treatment response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma using deep learning based on digital subtraction angiography videos.
    Zhang L; Jiang Y; Jin Z; Jiang W; Zhang B; Wang C; Wu L; Chen L; Chen Q; Liu S; You J; Mo X; Liu J; Xiong Z; Huang T; Yang L; Wan X; Wen G; Han XG; Fan W; Zhang S
    Cancer Imaging; 2022 May; 22(1):23. PubMed ID: 35549776
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A radiomics signature associated with underlying gene expression pattern for the prediction of prognosis and treatment response in hepatocellular carcinoma.
    Wang D; Zhang L; Sun Z; Jiang H; Zhang J
    Eur J Radiol; 2023 Oct; 167():111086. PubMed ID: 37708675
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine Learning-Based Development of Nomogram for Hepatocellular Carcinoma to Predict Acute Liver Function Deterioration After Drug-Eluting Beads Transarterial Chemoembolization.
    Li J; Zhang Y; Ye H; Hu L; Li X; Li Y; Yu P; Wu B; Lv P; Li Z
    Acad Radiol; 2023 Sep; 30 Suppl 1():S40-S52. PubMed ID: 37316369
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.