BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 38604092)

  • 1. Investigation of synthetic MRI with quantitative parameters for discriminating axillary lymph nodes status in invasive breast cancer.
    Qu M; Feng W; Liu X; Li Z; Li Y; Lu X; Lei J
    Eur J Radiol; 2024 Jun; 175():111452. PubMed ID: 38604092
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer.
    Liu Y; Luo H; Wang C; Chen X; Wang M; Zhou P; Ren J
    Acta Radiol; 2022 Apr; 63(4):447-457. PubMed ID: 33779304
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Whole-tumor histogram models based on quantitative maps from synthetic MRI for predicting axillary lymph node status in invasive ductal breast cancer.
    Zeng F; Yang Z; Tang X; Lin L; Lin H; Wu Y; Wang Z; Chen M; Chen L; Chen L; Wu PY; Wang C; Xue Y
    Eur J Radiol; 2024 Mar; 172():111325. PubMed ID: 38262156
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI.
    Meng T; He N; He H; Liu K; Ke L; Liu H; Zhong L; Huang C; Yang A; Zhou C; Qian L; Xie C
    Cancer Imaging; 2020 Dec; 20(1):88. PubMed ID: 33317609
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences.
    Chai R; Ma H; Xu M; Arefan D; Cui X; Liu Y; Zhang L; Wu S; Xu K
    J Magn Reson Imaging; 2019 Oct; 50(4):1125-1132. PubMed ID: 30848041
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Synthetic MRI in differentiating benign from metastatic retropharyngeal lymph node: combination with diffusion-weighted imaging.
    Wang P; Hu S; Wang X; Ge Y; Zhao J; Qiao H; Chang J; Dou W; Zhang H
    Eur Radiol; 2023 Jan; 33(1):152-161. PubMed ID: 35951044
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Added Value of MRI for Invasive Breast Cancer including the Entire Axilla for Evaluation of High-Level or Advanced Axillary Lymph Node Metastasis in the Post-ACOSOG Z0011 Trial Era.
    Byon JH; Park YV; Yoon JH; Moon HJ; Kim EK; Kim MJ; You JK
    Radiology; 2021 Jul; 300(1):46-54. PubMed ID: 33904772
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI.
    Wang Z; Sun H; Li J; Chen J; Meng F; Li H; Han L; Zhou S; Yu T
    J Magn Reson Imaging; 2022 Sep; 56(3):700-709. PubMed ID: 35108415
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Magnetic resonance imaging features for predicting axillary lymph node metastasis in patients with breast cancer.
    Zhao M; Wu Q; Guo L; Zhou L; Fu K
    Eur J Radiol; 2020 Aug; 129():109093. PubMed ID: 32512504
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
    Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
    JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomic features of axillary lymph nodes based on pharmacokinetic modeling DCE-MRI allow preoperative diagnosis of their metastatic status in breast cancer.
    Luo HB; Liu YY; Wang CH; Qing HM; Wang M; Zhang X; Chen XY; Xu GH; Zhou P; Ren J
    PLoS One; 2021; 16(3):e0247074. PubMed ID: 33647031
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Volume-based metabolic parameter of breast cancer on preoperative 18F-FDG PET/CT could predict axillary lymph node metastasis.
    An YS; Kang DK; Jung Y; Kim TH
    Medicine (Baltimore); 2017 Nov; 96(45):e8557. PubMed ID: 29137072
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of Axillary Lymph Node Metastasis in Early-stage Triple-Negative Breast Cancer Using Multiparametric and Radiomic Features of Breast MRI.
    Song SE; Woo OH; Cho Y; Cho KR; Park KH; Kim JW
    Acad Radiol; 2023 Sep; 30 Suppl 2():S25-S37. PubMed ID: 37331865
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [The value of synthetic MRI in differential diagnosis of benign and malignant breast lesions].
    Che SN; Li J; Xue M; Song Y; Zhao LY; Guo N; Tian Y; Xie LZ; Zhao XM; Zhou CW
    Zhonghua Zhong Liu Za Zhi; 2021 Aug; 43(8):872-877. PubMed ID: 34407594
    [No Abstract]   [Full Text] [Related]  

  • 15. Usefulness of preoperative breast magnetic resonance imaging with a dedicated axillary sequence for the detection of axillary lymph node metastasis in patients with early ductal breast cancer.
    Ahn HS; Jang M; Kim SM; La Yun B; Lee SH
    Radiol Med; 2019 Dec; 124(12):1220-1228. PubMed ID: 31422573
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adding contrast-enhanced ultrasound markers to conventional axillary ultrasound improves specificity for predicting axillary lymph node metastasis in patients with breast cancer.
    Du LW; Liu HL; Gong HY; Ling LJ; Wang S; Li CY; Zong M
    Br J Radiol; 2021 Feb; 94(1118):20200874. PubMed ID: 32976019
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
    Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
    J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Ultrasonography and clinicopathological features of breast cancer in predicting axillary lymph node metastases.
    Xiong J; Zuo W; Wu Y; Wang X; Li W; Wang Q; Zhou H; Xie M; Qin X
    BMC Cancer; 2022 Nov; 22(1):1155. PubMed ID: 36352378
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Synthetic MRI quantitative parameters in discriminating stage T1 nasopharyngeal carcinoma and benign hyperplasia: Combination with morphological features.
    Zhang H; Zhao J; Dai J; Chang J; Hu S; Wang P
    Eur J Radiol; 2024 Jan; 170():111264. PubMed ID: 38103492
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Synthetic MRI in breast cancer: differentiating benign from malignant lesions and predicting immunohistochemical expression status.
    Li X; Fan Z; Jiang H; Niu J; Bian W; Wang C; Wang Y; Zhang R; Zhang H
    Sci Rep; 2023 Oct; 13(1):17978. PubMed ID: 37864025
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.