BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

658 related articles for article (PubMed ID: 31696388)

  • 21. Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study.
    Wang H; Xu X; Zhang X; Liu Y; Ouyang L; Du P; Li S; Tian Q; Ling J; Guo Y; Lu H
    Eur Radiol; 2020 Sep; 30(9):4816-4827. PubMed ID: 32318846
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Value of magnetic resonance imaging radiomics features in predicting histologic grade of invasive ductal carcinoma of the breast.
    Yang XL; Ni DH; Yu Y; Zhao JC; Lin R; Xiu C; Chang ZX
    Technol Health Care; 2024; 32(3):1609-1618. PubMed ID: 38393931
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Generative adversarial network-based super-resolution of diffusion-weighted imaging: Application to tumour radiomics in breast cancer.
    Fan M; Liu Z; Xu M; Wang S; Zeng T; Gao X; Li L
    NMR Biomed; 2020 Aug; 33(8):e4345. PubMed ID: 32521567
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation.
    Liu Y; Zhang Y; Cheng R; Liu S; Qu F; Yin X; Wang Q; Xiao B; Ye Z
    J Magn Reson Imaging; 2019 Jan; 49(1):280-290. PubMed ID: 29761595
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [Preoperative evaluation of histologic grade in invasive breast cancer with T2W-MRI based radiomics signature].
    Huang Y; Cheng Z; Huang X; Liang C; Liang C; Liu Z
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2019 Mar; 44(3):285-289. PubMed ID: 30971521
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Can Diffusion-Weighted Imaging and Related Apparent Diffusion Coefficient be a Prognostic Value in Women With Breast Cancer?
    Rabasco P; Caivano R; Simeon V; Dinardo G; Lotumolo A; Gioioso M; Villonio A; Iannelli G; D'Antuono F; Zandolino A; Macarini L; Guglielmi G; Cammarota A
    Cancer Invest; 2017 Feb; 35(2):92-99. PubMed ID: 28107084
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer.
    Chung J; Youk JH; Kim JA; Gweon HM; Kim EK; Ryu YH; Son EJ
    Acta Radiol; 2014 Oct; 55(8):909-16. PubMed ID: 24234236
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis.
    Surov A; Clauser P; Chang YW; Li L; Martincich L; Partridge SC; Kim JY; Meyer HJ; Wienke A
    Breast Cancer Res; 2018 Jun; 20(1):58. PubMed ID: 29921323
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Apparent diffusion coefficient in estrogen receptor-positive and lymph node-negative invasive breast cancers at 3.0T DW-MRI: A potential predictor for an oncotype Dx test recurrence score.
    Thakur SB; Durando M; Milans S; Cho GY; Gennaro L; Sutton EJ; Giri D; Morris EA
    J Magn Reson Imaging; 2018 Feb; 47(2):401-409. PubMed ID: 28640531
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MR mammography using diffusion-weighted imaging in evaluating breast cancer: a correlation with proliferation index.
    Molinari C; Clauser P; Girometti R; Linda A; Cimino E; Puglisi F; Zuiani C; Bazzocchi M
    Radiol Med; 2015 Oct; 120(10):911-8. PubMed ID: 25776017
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Breast cancer Ki-67 expression prediction by digital breast tomosynthesis radiomics features.
    Tagliafico AS; Bignotti B; Rossi F; Matos J; Calabrese M; Valdora F; Houssami N
    Eur Radiol Exp; 2019 Aug; 3(1):36. PubMed ID: 31414273
    [TBL] [Abstract][Full Text] [Related]  

  • 32. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
    Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X
    J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Luminal-type breast cancer: correlation of apparent diffusion coefficients with the Ki-67 labeling index.
    Mori N; Ota H; Mugikura S; Takasawa C; Ishida T; Watanabe G; Tada H; Watanabe M; Takase K; Takahashi S
    Radiology; 2015 Jan; 274(1):66-73. PubMed ID: 25203132
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
    Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S
    J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.
    Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X
    BMC Cancer; 2022 Aug; 22(1):872. PubMed ID: 35945526
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Combining Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Apparent Diffusion Coefficient Maps for a Radiomics Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients.
    Chen X; Chen X; Yang J; Li Y; Fan W; Yang Z
    J Comput Assist Tomogr; 2020; 44(2):275-283. PubMed ID: 32004189
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma.
    Fan Y; Yu Y; Wang X; Hu M; Hu C
    BMC Med Imaging; 2021 Jun; 21(1):100. PubMed ID: 34130644
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Potential Antihuman Epidermal Growth Factor Receptor 2 Target Therapy Beneficiaries: The Role of MRI-Based Radiomics in Distinguishing Human Epidermal Growth Factor Receptor 2-Low Status of Breast Cancer.
    Bian X; Du S; Yue Z; Gao S; Zhao R; Huang G; Guo L; Peng C; Zhang L
    J Magn Reson Imaging; 2023 Nov; 58(5):1603-1614. PubMed ID: 36763035
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
    Liu C; Ding J; Spuhler K; Gao Y; Serrano Sosa M; Moriarty M; Hussain S; He X; Liang C; Huang C
    J Magn Reson Imaging; 2019 Jan; 49(1):131-140. PubMed ID: 30171822
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Apparent diffusion coefficient map based radiomics model in identifying the ischemic penumbra in acute ischemic stroke.
    Zhang R; Zhu L; Zhu Z; Ge Y; Zhang Z; Wang T
    Ann Palliat Med; 2020 Sep; 9(5):2684-2692. PubMed ID: 32787353
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 33.