BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

223 related articles for article (PubMed ID: 37889265)

  • 21. [Computed tomography in determining the differentiation of ductal adenocarcinoma of pancreatic head].
    Shantarevich MY; Karmazanovsky GG; Egorkina AB; Kurochkina AI; Kriger AG; Kalinin DV; Stashkiv VI
    Khirurgiia (Mosk); 2021; (3):11-19. PubMed ID: 33710821
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Rare Pancreatic Tumors.
    Shetty AS; Menias CO
    Magn Reson Imaging Clin N Am; 2018 Aug; 26(3):421-437. PubMed ID: 30376979
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.
    Dalal V; Carmicheal J; Dhaliwal A; Jain M; Kaur S; Batra SK
    Cancer Lett; 2020 Jan; 469():228-237. PubMed ID: 31629933
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma by computed tomography and magnetic resonance imaging using the Bayesian method: a bi-center study.
    Ichikawa S; Isoda H; Shimizu T; Tamada D; Taura K; Togashi K; Onishi H; Motosugi U
    Eur Radiol; 2020 Nov; 30(11):5992-6002. PubMed ID: 32500195
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Differentiation between non-hypervascular pancreatic neuroendocrine tumors and mass-forming pancreatitis using contrast-enhanced computed tomography.
    Wang Y; Chen X; Wang J; Cui W; Wang C; Chen X; Wang Z
    Acta Radiol; 2021 Feb; 62(2):190-197. PubMed ID: 32375515
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Comparison between neuroendocrine carcinomas and well-differentiated neuroendocrine tumors of the pancreas using dynamic enhanced CT.
    Park HJ; Kim HJ; Kim KW; Kim SY; Choi SH; You MW; Hwang HS; Hong SM
    Eur Radiol; 2020 Sep; 30(9):4772-4782. PubMed ID: 32346794
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules.
    Mokrane FZ; Lu L; Vavasseur A; Otal P; Peron JM; Luk L; Yang H; Ammari S; Saenger Y; Rousseau H; Zhao B; Schwartz LH; Dercle L
    Eur Radiol; 2020 Jan; 30(1):558-570. PubMed ID: 31444598
    [TBL] [Abstract][Full Text] [Related]  

  • 28. [Research progress in radiomics based on CT and MRI images for prediction of microvascular invasion in hepatocellular carcinoma].
    Liu YN; Xu YK; Deng SY; Ding HG
    Zhonghua Gan Zang Bing Za Zhi; 2022 Aug; 30(8):809-813. PubMed ID: 36207937
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.
    Wu M; Tan H; Gao F; Hai J; Ning P; Chen J; Zhu S; Wang M; Dou S; Shi D
    Eur Radiol; 2019 Jun; 29(6):2802-2811. PubMed ID: 30406313
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study.
    Ji GW; Zhu FP; Xu Q; Wang K; Wu MY; Tang WW; Li XC; Wang XH
    EBioMedicine; 2019 Dec; 50():156-165. PubMed ID: 31735556
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and cholangiocarcinoma to inform optimal treatment planning?
    Liu X; Khalvati F; Namdar K; Fischer S; Lewis S; Taouli B; Haider MA; Jhaveri KS
    Eur Radiol; 2021 Jan; 31(1):244-255. PubMed ID: 32749585
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of diagnostic performance between CT and MRI in differentiating non-diffuse-type autoimmune pancreatitis from pancreatic ductal adenocarcinoma.
    Lee S; Kim JH; Kim SY; Byun JH; Kim HJ; Kim MH; Lee MG; Lee SS
    Eur Radiol; 2018 Dec; 28(12):5267-5274. PubMed ID: 29948075
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of the Ki-67 marker index in hepatocellular carcinoma based on CT radiomics features.
    Wu H; Han X; Wang Z; Mo L; Liu W; Guo Y; Wei X; Jiang X
    Phys Med Biol; 2020 Dec; 65(23):235048. PubMed ID: 32756021
    [TBL] [Abstract][Full Text] [Related]  

  • 35. MRI-Based Radiomics and Deep Learning in Biological Characteristics and Prognosis of Hepatocellular Carcinoma: Opportunities and Challenges.
    Xia T; Zhao B; Li B; Lei Y; Song Y; Wang Y; Tang T; Ju S
    J Magn Reson Imaging; 2024 Mar; 59(3):767-783. PubMed ID: 37647155
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Current status and future perspectives of radiomics in hepatocellular carcinoma.
    Miranda J; Horvat N; Fonseca GM; Araujo-Filho JAB; Fernandes MC; Charbel C; Chakraborty J; Coelho FF; Nomura CH; Herman P
    World J Gastroenterol; 2023 Jan; 29(1):43-60. PubMed ID: 36683711
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Computed tomography-based radiomics approach in pancreatic tumors characterization.
    Karmazanovsky G; Gruzdev I; Tikhonova V; Kondratyev E; Revishvili A
    Radiol Med; 2021 Aug; ():. PubMed ID: 34386897
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Application of CT radiomics in prediction of early recurrence in hepatocellular carcinoma.
    Ning P; Gao F; Hai J; Wu M; Chen J; Zhu S; Wang M; Shi D
    Abdom Radiol (NY); 2020 Jan; 45(1):64-72. PubMed ID: 31486869
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features.
    Park S; Chu LC; Hruban RH; Vogelstein B; Kinzler KW; Yuille AL; Fouladi DF; Shayesteh S; Ghandili S; Wolfgang CL; Burkhart R; He J; Fishman EK; Kawamoto S
    Diagn Interv Imaging; 2020 Sep; 101(9):555-564. PubMed ID: 32278586
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.