BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 38220040)

  • 21. Quantification of Blood Pressure Changes in the Vascular Compartment When Using an Anti-Reflux Catheter during Chemoembolization versus Radioembolization: A Retrospective Case Series.
    Rose SC; Narsinh KH; Newton IG
    J Vasc Interv Radiol; 2017 Jan; 28(1):103-110. PubMed ID: 27840042
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Outcomes of Surgical Resection after Radioembolization for Hepatocellular Carcinoma.
    Gabr A; Abouchaleh N; Ali R; Baker T; Caicedo J; Katariya N; Abecassis M; Riaz A; Lewandowski RJ; Salem R
    J Vasc Interv Radiol; 2018 Nov; 29(11):1502-1510.e1. PubMed ID: 30268638
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Radiomics for preoperative prediction of early recurrence in hepatocellular carcinoma: a meta-analysis.
    Tian H; Xie Y; Wang Z
    Front Oncol; 2023; 13():1114983. PubMed ID: 37350952
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Application of Radiomics in the Efficacy Evaluation of Transarterial Chemoembolization for Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.
    Wang Y; Li M; Zhang Z; Gao M; Zhao L
    Acad Radiol; 2024 Jan; 31(1):273-285. PubMed ID: 37684182
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. 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]  

  • 27. Predictive performance of radiomics for peritoneal metastasis in patients with gastric cancer: a meta-analysis and radiomics quality assessment.
    Xue Y; Zhang H; Zheng Z; Liu X; Yin J; Zhang J
    J Cancer Res Clin Oncol; 2023 Oct; 149(13):12103-12113. PubMed ID: 37422882
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.
    Jin J; Jiang Y; Zhao YL; Huang PT
    Acad Radiol; 2024 Feb; 31(2):467-479. PubMed ID: 37867018
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Computed tomographic perfusion imaging for the prediction of response and survival to transarterial radioembolization of liver metastases.
    Morsbach F; Pfammatter T; Reiner CS; Fischer MA; Sah BR; Winklhofer S; Klotz E; Frauenfelder T; Knuth A; Seifert B; Schaefer N; Alkadhi H
    Invest Radiol; 2013 Nov; 48(11):787-94. PubMed ID: 23748229
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Quality of radiomics for predicting microvascular invasion in hepatocellular carcinoma: a systematic review.
    Yuan E; Chen Y; Song B
    Eur Radiol; 2023 May; 33(5):3467-3477. PubMed ID: 36749371
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma: A quantitative review with Radiomics Quality Score.
    Brancato V; Cerrone M; Garbino N; Salvatore M; Cavaliere C
    World J Gastroenterol; 2024 Jan; 30(4):381-417. PubMed ID: 38313230
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Artificial intelligence with magnetic resonance imaging for prediction of pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer: A systematic review and meta-analysis.
    Jia LL; Zheng QY; Tian JH; He DL; Zhao JX; Zhao LP; Huang G
    Front Oncol; 2022; 12():1026216. PubMed ID: 36313696
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Apparent diffusion coefficients (ADC) in response assessment of transarterial radioembolization (TARE) for liver metastases of neuroendocrine tumors (NET): a feasibility study.
    Katharina Ingenerf M; Karim H; Fink N; Ilhan H; Ricke J; Treitl KM; Schmid-Tannwald C
    Acta Radiol; 2022 Jul; 63(7):877-888. PubMed ID: 34225464
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Development of a prognostic score to predict response to Yttrium-90 radioembolization for hepatocellular carcinoma with portal vein invasion.
    Spreafico C; Sposito C; Vaiani M; Cascella T; Bhoori S; Morosi C; Lanocita R; Romito R; Chiesa C; Maccauro M; Marchianò A; Mazzaferro V
    J Hepatol; 2018 Apr; 68(4):724-732. PubMed ID: 29331342
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Histogram Analysis of CT Perfusion of Hepatocellular Carcinoma for Predicting Response to Transarterial Radioembolization: Value of Tumor Heterogeneity Assessment.
    Reiner CS; Gordic S; Puippe G; Morsbach F; Wurnig M; Schaefer N; Veit-Haibach P; Pfammatter T; Alkadhi H
    Cardiovasc Intervent Radiol; 2016 Mar; 39(3):400-8. PubMed ID: 26216725
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Quantitative Imaging Biomarkers for
    Schobert I; Chapiro J; Nezami N; Hamm CA; Gebauer B; Lin M; Pollak J; Saperstein L; Schlachter T; Savic LJ
    J Nucl Med; 2019 Aug; 60(8):1066-1072. PubMed ID: 30655331
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.
    Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J
    Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Radiomics models for preoperative prediction of microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis.
    Zhong X; Long H; Su L; Zheng R; Wang W; Duan Y; Hu H; Lin M; Xie X
    Abdom Radiol (NY); 2022 Jun; 47(6):2071-2088. PubMed ID: 35364684
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A meta-analysis of the diagnostic test accuracy of CT-based radiomics for the prediction of COVID-19 severity.
    Kao YS; Lin KT
    Radiol Med; 2022 Jul; 127(7):754-762. PubMed ID: 35731375
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Quantitative volumetric functional MR imaging: an imaging biomarker of early treatment response in hypo-vascular liver metastasis patients after yttrium-90 transarterial radioembolization.
    Zhu X; Sobhani F; Xu C; Pan L; Ghasebeh MA; Kamel IR
    Abdom Radiol (NY); 2016 Aug; 41(8):1495-504. PubMed ID: 26960726
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.